--- _id: '430' abstract: - lang: eng text: In this issue of GENETICS, a new method for detecting natural selection on polygenic traits is developed and applied to sev- eral human examples ( Racimo et al. 2018 ). By de fi nition, many loci contribute to variation in polygenic traits, and a challenge for evolutionary ge neticists has been that these traits can evolve by small, nearly undetectable shifts in allele frequencies across each of many, typically unknown, loci. Recently, a helpful remedy has arisen. Genome-wide associ- ation studies (GWAS) have been illuminating sets of loci that can be interrogated jointly for c hanges in allele frequencies. By aggregating small signal s of change across many such loci, directional natural selection is now in principle detect- able using genetic data, even for highly polygenic traits. This is an exciting arena of progress – with these methods, tests can be made for selection associated with traits, and we can now study selection in what may be its most prevalent mode. The continuing fast pace of GWAS publications suggest there will be many more polygenic tests of selection in the near future, as every new GWAS is an opportunity for an accom- panying test of polygenic selection. However, it is important to be aware of complications th at arise in interpretation, especially given that these studies may easily be misinter- preted both in and outside the evolutionary genetics commu- nity. Here, we provide context for understanding polygenic tests and urge caution regarding how these results are inter- preted and reported upon more broadly. article_processing_charge: No author: - first_name: John full_name: Novembre, John last_name: Novembre - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Novembre J, Barton NH. Tread lightly interpreting polygenic tests of selection. Genetics. 2018;208(4):1351-1355. doi:10.1534/genetics.118.300786 apa: Novembre, J., & Barton, N. H. (2018). Tread lightly interpreting polygenic tests of selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.300786 chicago: Novembre, John, and Nicholas H Barton. “Tread Lightly Interpreting Polygenic Tests of Selection.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.300786. ieee: J. Novembre and N. H. Barton, “Tread lightly interpreting polygenic tests of selection,” Genetics, vol. 208, no. 4. Genetics Society of America, pp. 1351–1355, 2018. ista: Novembre J, Barton NH. 2018. Tread lightly interpreting polygenic tests of selection. Genetics. 208(4), 1351–1355. mla: Novembre, John, and Nicholas H. Barton. “Tread Lightly Interpreting Polygenic Tests of Selection.” Genetics, vol. 208, no. 4, Genetics Society of America, 2018, pp. 1351–55, doi:10.1534/genetics.118.300786. short: J. Novembre, N.H. Barton, Genetics 208 (2018) 1351–1355. date_created: 2018-12-11T11:46:26Z date_published: 2018-04-01T00:00:00Z date_updated: 2023-09-19T10:17:30Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1534/genetics.118.300786 external_id: isi: - '000429094400005' file: - access_level: open_access checksum: 3d838dc285df394376555b794b6a5ad1 content_type: application/pdf creator: system date_created: 2018-12-12T10:12:40Z date_updated: 2020-07-14T12:46:26Z file_id: '4958' file_name: IST-2018-1012-v1+1_2018_Barton_Tread.pdf file_size: 500129 relation: main_file file_date_updated: 2020-07-14T12:46:26Z has_accepted_license: '1' intvolume: ' 208' isi: 1 issue: '4' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '04' oa: 1 oa_version: Published Version page: 1351 - 1355 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '7393' pubrep_id: '1012' quality_controlled: '1' scopus_import: '1' status: public title: Tread lightly interpreting polygenic tests of selection tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 208 year: '2018' ... --- _id: '607' abstract: - lang: eng text: We study the Fokker-Planck equation derived in the large system limit of the Markovian process describing the dynamics of quantitative traits. The Fokker-Planck equation is posed on a bounded domain and its transport and diffusion coefficients vanish on the domain's boundary. We first argue that, despite this degeneracy, the standard no-flux boundary condition is valid. We derive the weak formulation of the problem and prove the existence and uniqueness of its solutions by constructing the corresponding contraction semigroup on a suitable function space. Then, we prove that for the parameter regime with high enough mutation rate the problem exhibits a positive spectral gap, which implies exponential convergence to equilibrium.Next, we provide a simple derivation of the so-called Dynamic Maximum Entropy (DynMaxEnt) method for approximation of observables (moments) of the Fokker-Planck solution, which can be interpreted as a nonlinear Galerkin approximation. The limited applicability of the DynMaxEnt method inspires us to introduce its modified version that is valid for the whole range of admissible parameters. Finally, we present several numerical experiments to demonstrate the performance of both the original and modified DynMaxEnt methods. We observe that in the parameter regimes where both methods are valid, the modified one exhibits slightly better approximation properties compared to the original one. acknowledgement: "JH and PM are funded by KAUST baseline funds and grant no. 1000000193 .\r\nWe thank Nicholas Barton (IST Austria) for his useful comments and suggestions. \r\n\r\n" article_processing_charge: No author: - first_name: Katarina full_name: Bodova, Katarina id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87 last_name: Bodova orcid: 0000-0002-7214-0171 - first_name: Jan full_name: Haskovec, Jan last_name: Haskovec - first_name: Peter full_name: Markowich, Peter last_name: Markowich citation: ama: 'Bodova K, Haskovec J, Markowich P. Well posedness and maximum entropy approximation for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena. 2018;376-377:108-120. doi:10.1016/j.physd.2017.10.015' apa: 'Bodova, K., Haskovec, J., & Markowich, P. (2018). Well posedness and maximum entropy approximation for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena. Elsevier. https://doi.org/10.1016/j.physd.2017.10.015' chicago: 'Bodova, Katarina, Jan Haskovec, and Peter Markowich. “Well Posedness and Maximum Entropy Approximation for the Dynamics of Quantitative Traits.” Physica D: Nonlinear Phenomena. Elsevier, 2018. https://doi.org/10.1016/j.physd.2017.10.015.' ieee: 'K. Bodova, J. Haskovec, and P. Markowich, “Well posedness and maximum entropy approximation for the dynamics of quantitative traits,” Physica D: Nonlinear Phenomena, vol. 376–377. Elsevier, pp. 108–120, 2018.' ista: 'Bodova K, Haskovec J, Markowich P. 2018. Well posedness and maximum entropy approximation for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena. 376–377, 108–120.' mla: 'Bodova, Katarina, et al. “Well Posedness and Maximum Entropy Approximation for the Dynamics of Quantitative Traits.” Physica D: Nonlinear Phenomena, vol. 376–377, Elsevier, 2018, pp. 108–20, doi:10.1016/j.physd.2017.10.015.' short: 'K. Bodova, J. Haskovec, P. Markowich, Physica D: Nonlinear Phenomena 376–377 (2018) 108–120.' date_created: 2018-12-11T11:47:28Z date_published: 2018-08-01T00:00:00Z date_updated: 2023-09-19T10:38:34Z day: '01' department: - _id: NiBa - _id: GaTk doi: 10.1016/j.physd.2017.10.015 external_id: arxiv: - '1704.08757' isi: - '000437962900012' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1704.08757 month: '08' oa: 1 oa_version: Submitted Version page: 108-120 publication: 'Physica D: Nonlinear Phenomena' publication_status: published publisher: Elsevier publist_id: '7198' quality_controlled: '1' scopus_import: '1' status: public title: Well posedness and maximum entropy approximation for the dynamics of quantitative traits type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 376-377 year: '2018' ... --- _id: '200' abstract: - lang: eng text: This thesis is concerned with the inference of current population structure based on geo-referenced genetic data. The underlying idea is that population structure affects its spatial genetic structure. Therefore, genotype information can be utilized to estimate important demographic parameters such as migration rates. These indirect estimates of population structure have become very attractive, as genotype data is now widely available. However, there also has been much concern about these approaches. Importantly, genetic structure can be influenced by many complex patterns, which often cannot be disentangled. Moreover, many methods merely fit heuristic patterns of genetic structure, and do not build upon population genetics theory. Here, I describe two novel inference methods that address these shortcomings. In Chapter 2, I introduce an inference scheme based on a new type of signal, identity by descent (IBD) blocks. Recently, it has become feasible to detect such long blocks of genome shared between pairs of samples. These blocks are direct traces of recent coalescence events. As such, they contain ample signal for inferring recent demography. I examine sharing of IBD blocks in two-dimensional populations with local migration. Using a diffusion approximation, I derive formulas for an isolation by distance pattern of long IBD blocks and show that sharing of long IBD blocks approaches rapid exponential decay for growing sample distance. I describe an inference scheme based on these results. It can robustly estimate the dispersal rate and population density, which is demonstrated on simulated data. I also show an application to estimate mean migration and the rate of recent population growth within Eastern Europe. Chapter 3 is about a novel method to estimate barriers to gene flow in a two dimensional population. This inference scheme utilizes geographically localized allele frequency fluctuations - a classical isolation by distance signal. The strength of these local fluctuations increases on average next to a barrier, and there is less correlation across it. I again use a framework of diffusion of ancestral lineages to model this effect, and provide an efficient numerical implementation to fit the results to geo-referenced biallelic SNP data. This inference scheme is able to robustly estimate strong barriers to gene flow, as tests on simulated data confirm. alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Harald full_name: Ringbauer, Harald id: 417FCFF4-F248-11E8-B48F-1D18A9856A87 last_name: Ringbauer orcid: 0000-0002-4884-9682 citation: ama: Ringbauer H. Inferring recent demography from spatial genetic structure. 2018. doi:10.15479/AT:ISTA:th_963 apa: Ringbauer, H. (2018). Inferring recent demography from spatial genetic structure. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_963 chicago: Ringbauer, Harald. “Inferring Recent Demography from Spatial Genetic Structure.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_963. ieee: H. Ringbauer, “Inferring recent demography from spatial genetic structure,” Institute of Science and Technology Austria, 2018. ista: Ringbauer H. 2018. Inferring recent demography from spatial genetic structure. Institute of Science and Technology Austria. mla: Ringbauer, Harald. Inferring Recent Demography from Spatial Genetic Structure. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:th_963. short: H. Ringbauer, Inferring Recent Demography from Spatial Genetic Structure, Institute of Science and Technology Austria, 2018. date_created: 2018-12-11T11:45:10Z date_published: 2018-02-21T00:00:00Z date_updated: 2023-09-20T12:00:56Z day: '21' ddc: - '576' degree_awarded: PhD department: - _id: NiBa doi: 10.15479/AT:ISTA:th_963 file: - access_level: open_access checksum: 8cc534d2b528ae017acf80874cce48c9 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:55Z date_updated: 2020-07-14T12:45:23Z file_id: '5111' file_name: IST-2018-963-v1+1_thesis.pdf file_size: 5792935 relation: main_file - access_level: closed checksum: 6af18d7e5a7e2728ceda2f41ee24f628 content_type: application/zip creator: dernst date_created: 2019-04-05T09:30:12Z date_updated: 2020-07-14T12:45:23Z file_id: '6224' file_name: 2018_thesis_ringbauer_source.zip file_size: 113365 relation: source_file file_date_updated: 2020-07-14T12:45:23Z has_accepted_license: '1' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: '146' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria publist_id: '7713' pubrep_id: '963' related_material: record: - id: '563' relation: part_of_dissertation status: public - id: '1074' relation: part_of_dissertation status: public status: public supervisor: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 title: Inferring recent demography from spatial genetic structure tmp: image: /images/cc_by_nc.png legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) short: CC BY-NC (4.0) type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2018' ... --- _id: '139' abstract: - lang: eng text: 'Genome-scale diversity data are increasingly available in a variety of biological systems, and can be used to reconstruct the past evolutionary history of species divergence. However, extracting the full demographic information from these data is not trivial, and requires inferential methods that account for the diversity of coalescent histories throughout the genome. Here, we evaluate the potential and limitations of one such approach. We reexamine a well-known system of mussel sister species, using the joint site frequency spectrum (jSFS) of synonymousmutations computed either fromexome capture or RNA-seq, in an Approximate Bayesian Computation (ABC) framework. We first assess the best sampling strategy (number of: individuals, loci, and bins in the jSFS), and show that model selection is robust to variation in the number of individuals and loci. In contrast, different binning choices when summarizing the jSFS, strongly affect the results: including classes of low and high frequency shared polymorphisms can more effectively reveal recent migration events. We then take advantage of the flexibility of ABC to compare more realistic models of speciation, including variation in migration rates through time (i.e., periodic connectivity) and across genes (i.e., genome-wide heterogeneity in migration rates). We show that these models were consistently selected as the most probable, suggesting that mussels have experienced a complex history of gene flow during divergence and that the species boundary is semi-permeable. Our work provides a comprehensive evaluation of ABC demographic inference in mussels based on the coding jSFS, and supplies guidelines for employing different sequencing techniques and sampling strategies. We emphasize, perhaps surprisingly, that inferences are less limited by the volume of data, than by the way in which they are analyzed.' article_number: '30083438' article_processing_charge: No author: - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Camille full_name: Roux, Camille last_name: Roux - first_name: Pierre full_name: Gagnaire, Pierre last_name: Gagnaire - first_name: Jonathan full_name: Romiguier, Jonathan last_name: Romiguier - first_name: Nicolas full_name: Faivre, Nicolas last_name: Faivre - first_name: John full_name: Welch, John last_name: Welch - first_name: Nicolas full_name: Bierne, Nicolas last_name: Bierne citation: ama: 'Fraisse C, Roux C, Gagnaire P, et al. The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. PeerJ. 2018;2018(7). doi:10.7717/peerj.5198' apa: 'Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J., & Bierne, N. (2018). The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. PeerJ. PeerJ. https://doi.org/10.7717/peerj.5198' chicago: 'Fraisse, Christelle, Camille Roux, Pierre Gagnaire, Jonathan Romiguier, Nicolas Faivre, John Welch, and Nicolas Bierne. “The Divergence History of European Blue Mussel Species Reconstructed from Approximate Bayesian Computation: The Effects of Sequencing Techniques and Sampling Strategies.” PeerJ. PeerJ, 2018. https://doi.org/10.7717/peerj.5198.' ieee: 'C. Fraisse et al., “The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies,” PeerJ, vol. 2018, no. 7. PeerJ, 2018.' ista: 'Fraisse C, Roux C, Gagnaire P, Romiguier J, Faivre N, Welch J, Bierne N. 2018. The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. PeerJ. 2018(7), 30083438.' mla: 'Fraisse, Christelle, et al. “The Divergence History of European Blue Mussel Species Reconstructed from Approximate Bayesian Computation: The Effects of Sequencing Techniques and Sampling Strategies.” PeerJ, vol. 2018, no. 7, 30083438, PeerJ, 2018, doi:10.7717/peerj.5198.' short: C. Fraisse, C. Roux, P. Gagnaire, J. Romiguier, N. Faivre, J. Welch, N. Bierne, PeerJ 2018 (2018). date_created: 2018-12-11T11:44:50Z date_published: 2018-07-30T00:00:00Z date_updated: 2023-10-17T12:25:28Z day: '30' ddc: - '576' department: - _id: BeVi - _id: NiBa doi: 10.7717/peerj.5198 external_id: isi: - '000440484800002' file: - access_level: open_access checksum: 7d55ae22598a1c70759cd671600cff53 content_type: application/pdf creator: dernst date_created: 2018-12-18T09:42:11Z date_updated: 2020-07-14T12:44:48Z file_id: '5739' file_name: 2018_PeerJ_Fraisse.pdf file_size: 1480792 relation: main_file file_date_updated: 2020-07-14T12:44:48Z has_accepted_license: '1' intvolume: ' 2018' isi: 1 issue: '7' language: - iso: eng month: '07' oa: 1 oa_version: Published Version publication: PeerJ publication_status: published publisher: PeerJ publist_id: '7784' quality_controlled: '1' scopus_import: '1' status: public title: 'The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2018 year: '2018' ... --- _id: '33' abstract: - lang: eng text: Secondary contact is the reestablishment of gene flow between sister populations that have diverged. For instance, at the end of the Quaternary glaciations in Europe, secondary contact occurred during the northward expansion of the populations which had found refugia in the southern peninsulas. With the advent of multi-locus markers, secondary contact can be investigated using various molecular signatures including gradients of allele frequency, admixture clines, and local increase of genetic differentiation. We use coalescent simulations to investigate if molecular data provide enough information to distinguish between secondary contact following range expansion and an alternative evolutionary scenario consisting of a barrier to gene flow in an isolation-by-distance model. We find that an excess of linkage disequilibrium and of genetic diversity at the suture zone is a unique signature of secondary contact. We also find that the directionality index ψ, which was proposed to study range expansion, is informative to distinguish between the two hypotheses. However, although evidence for secondary contact is usually conveyed by statistics related to admixture coefficients, we find that they can be confounded by isolation-by-distance. We recommend to account for the spatial repartition of individuals when investigating secondary contact in order to better reflect the complex spatio-temporal evolution of populations and species. acknowledgement: 'Johanna Bertl was supported by the Vienna Graduate School of Population Genetics (Austrian Science Fund (FWF): W1225-B20) and worked on this project while employed at the Department of Statistics and Operations Research, University of Vienna, Austria. This article was developed in the framework of the Grenoble Alpes Data Institute, which is supported by the French National Research Agency under the “Investissments d’avenir” program (ANR-15-IDEX-02).' article_number: e5325 article_processing_charge: No author: - first_name: Johanna full_name: Bertl, Johanna last_name: Bertl - first_name: Harald full_name: Ringbauer, Harald id: 417FCFF4-F248-11E8-B48F-1D18A9856A87 last_name: Ringbauer orcid: 0000-0002-4884-9682 - first_name: Michaël full_name: Blum, Michaël last_name: Blum citation: ama: Bertl J, Ringbauer H, Blum M. Can secondary contact following range expansion be distinguished from barriers to gene flow? PeerJ. 2018;2018(10). doi:10.7717/peerj.5325 apa: Bertl, J., Ringbauer, H., & Blum, M. (2018). Can secondary contact following range expansion be distinguished from barriers to gene flow? PeerJ. PeerJ. https://doi.org/10.7717/peerj.5325 chicago: Bertl, Johanna, Harald Ringbauer, and Michaël Blum. “Can Secondary Contact Following Range Expansion Be Distinguished from Barriers to Gene Flow?” PeerJ. PeerJ, 2018. https://doi.org/10.7717/peerj.5325. ieee: J. Bertl, H. Ringbauer, and M. Blum, “Can secondary contact following range expansion be distinguished from barriers to gene flow?,” PeerJ, vol. 2018, no. 10. PeerJ, 2018. ista: Bertl J, Ringbauer H, Blum M. 2018. Can secondary contact following range expansion be distinguished from barriers to gene flow? PeerJ. 2018(10), e5325. mla: Bertl, Johanna, et al. “Can Secondary Contact Following Range Expansion Be Distinguished from Barriers to Gene Flow?” PeerJ, vol. 2018, no. 10, e5325, PeerJ, 2018, doi:10.7717/peerj.5325. short: J. Bertl, H. Ringbauer, M. Blum, PeerJ 2018 (2018). date_created: 2018-12-11T11:44:16Z date_published: 2018-10-01T00:00:00Z date_updated: 2023-10-17T12:24:43Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.7717/peerj.5325 external_id: isi: - '000447204400001' pmid: - '30294507' file: - access_level: open_access checksum: 3334886c4b39678db4c4b74299ca14ba content_type: application/pdf creator: dernst date_created: 2018-12-17T10:46:06Z date_updated: 2020-07-14T12:46:06Z file_id: '5692' file_name: 2018_PeerJ_Bertl.pdf file_size: 1328344 relation: main_file file_date_updated: 2020-07-14T12:46:06Z has_accepted_license: '1' intvolume: ' 2018' isi: 1 issue: '10' language: - iso: eng month: '10' oa: 1 oa_version: Published Version pmid: 1 publication: PeerJ publication_status: published publisher: PeerJ publist_id: '8022' quality_controlled: '1' scopus_import: '1' status: public title: Can secondary contact following range expansion be distinguished from barriers to gene flow? tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2018 year: '2018' ... --- _id: '286' abstract: - lang: eng text: 'Pedigree and sibship reconstruction are important methods in quantifying relationships and fitness of individuals in natural populations. Current methods employ a Markov chain-based algorithm to explore plausible possible pedigrees iteratively. This provides accurate results, but is time-consuming. Here, we develop a method to infer sibship and paternity relationships from half-sibling arrays of known maternity using hierarchical clustering. Given 50 or more unlinked SNP markers and empirically derived error rates, the method performs as well as the widely used package Colony, but is faster by two orders of magnitude. Using simulations, we show that the method performs well across contrasting mating scenarios, even when samples are large. We then apply the method to open-pollinated arrays of the snapdragon Antirrhinum majus and find evidence for a high degree of multiple mating. Although we focus on diploid SNP data, the method does not depend on marker type and as such has broad applications in nonmodel systems. ' acknowledgement: 'ERC, Grant/Award Number: 250152' article_processing_charge: No author: - first_name: Thomas full_name: Ellis, Thomas id: 3153D6D4-F248-11E8-B48F-1D18A9856A87 last_name: Ellis orcid: 0000-0002-8511-0254 - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Ellis T, Field D, Barton NH. Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. 2018;18(5):988-999. doi:10.1111/1755-0998.12782 apa: Ellis, T., Field, D., & Barton, N. H. (2018). Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. Wiley. https://doi.org/10.1111/1755-0998.12782 chicago: Ellis, Thomas, David Field, and Nicholas H Barton. “Efficient Inference of Paternity and Sibship Inference given Known Maternity via Hierarchical Clustering.” Molecular Ecology Resources. Wiley, 2018. https://doi.org/10.1111/1755-0998.12782. ieee: T. Ellis, D. Field, and N. H. Barton, “Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering,” Molecular Ecology Resources, vol. 18, no. 5. Wiley, pp. 988–999, 2018. ista: Ellis T, Field D, Barton NH. 2018. Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering. Molecular Ecology Resources. 18(5), 988–999. mla: Ellis, Thomas, et al. “Efficient Inference of Paternity and Sibship Inference given Known Maternity via Hierarchical Clustering.” Molecular Ecology Resources, vol. 18, no. 5, Wiley, 2018, pp. 988–99, doi:10.1111/1755-0998.12782. short: T. Ellis, D. Field, N.H. Barton, Molecular Ecology Resources 18 (2018) 988–999. date_created: 2018-12-11T11:45:37Z date_published: 2018-09-01T00:00:00Z date_updated: 2024-02-21T13:45:00Z day: '01' department: - _id: NiBa doi: 10.1111/1755-0998.12782 ec_funded: 1 external_id: isi: - '000441753000007' intvolume: ' 18' isi: 1 issue: '5' language: - iso: eng month: '09' oa_version: None page: 988 - 999 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Molecular Ecology Resources publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '5583' relation: popular_science status: public scopus_import: '1' status: public title: Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 18 year: '2018' ... --- _id: '1112' abstract: - lang: eng text: There has been renewed interest in modelling the behaviour of evolutionary algorithms by more traditional mathematical objects, such as ordinary differential equations or Markov chains. The advantage is that the analysis becomes greatly facilitated due to the existence of well established methods. However, this typically comes at the cost of disregarding information about the process. Here, we introduce the use of stochastic differential equations (SDEs) for the study of EAs. SDEs can produce simple analytical results for the dynamics of stochastic processes, unlike Markov chains which can produce rigorous but unwieldy expressions about the dynamics. On the other hand, unlike ordinary differential equations (ODEs), they do not discard information about the stochasticity of the process. We show that these are especially suitable for the analysis of fixed budget scenarios and present analogs of the additive and multiplicative drift theorems for SDEs. We exemplify the use of these methods for two model algorithms ((1+1) EA and RLS) on two canonical problems(OneMax and LeadingOnes). author: - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Jorge full_name: Pérez Heredia, Jorge last_name: Pérez Heredia citation: ama: 'Paixao T, Pérez Heredia J. An application of stochastic differential equations to evolutionary algorithms. In: Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. ACM; 2017:3-11. doi:10.1145/3040718.3040729' apa: 'Paixao, T., & Pérez Heredia, J. (2017). An application of stochastic differential equations to evolutionary algorithms. In Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (pp. 3–11). Copenhagen, Denmark: ACM. https://doi.org/10.1145/3040718.3040729' chicago: Paixao, Tiago, and Jorge Pérez Heredia. “An Application of Stochastic Differential Equations to Evolutionary Algorithms.” In Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 3–11. ACM, 2017. https://doi.org/10.1145/3040718.3040729. ieee: T. Paixao and J. Pérez Heredia, “An application of stochastic differential equations to evolutionary algorithms,” in Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Copenhagen, Denmark, 2017, pp. 3–11. ista: 'Paixao T, Pérez Heredia J. 2017. An application of stochastic differential equations to evolutionary algorithms. Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA: Foundations of Genetic Algorithms, 3–11.' mla: Paixao, Tiago, and Jorge Pérez Heredia. “An Application of Stochastic Differential Equations to Evolutionary Algorithms.” Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, ACM, 2017, pp. 3–11, doi:10.1145/3040718.3040729. short: T. Paixao, J. Pérez Heredia, in:, Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, ACM, 2017, pp. 3–11. conference: end_date: 2017-01-15 location: Copenhagen, Denmark name: 'FOGA: Foundations of Genetic Algorithms' start_date: 2017-01-12 date_created: 2018-12-11T11:50:12Z date_published: 2017-01-12T00:00:00Z date_updated: 2021-01-12T06:48:22Z day: '12' department: - _id: NiBa doi: 10.1145/3040718.3040729 language: - iso: eng month: '01' oa_version: None page: 3 - 11 publication: Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms publication_identifier: isbn: - 978-145034651-1 publication_status: published publisher: ACM publist_id: '6255' quality_controlled: '1' scopus_import: 1 status: public title: An application of stochastic differential equations to evolutionary algorithms type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2017' ... --- _id: '1191' abstract: - lang: eng text: Variation in genotypes may be responsible for differences in dispersal rates, directional biases, and growth rates of individuals. These traits may favor certain genotypes and enhance their spatiotemporal spreading into areas occupied by the less advantageous genotypes. We study how these factors influence the speed of spreading in the case of two competing genotypes under the assumption that spatial variation of the total population is small compared to the spatial variation of the frequencies of the genotypes in the population. In that case, the dynamics of the frequency of one of the genotypes is approximately described by a generalized Fisher–Kolmogorov–Petrovskii–Piskunov (F–KPP) equation. This generalized F–KPP equation with (nonlinear) frequency-dependent diffusion and advection terms admits traveling wave solutions that characterize the invasion of the dominant genotype. Our existence results generalize the classical theory for traveling waves for the F–KPP with constant coefficients. Moreover, in the particular case of the quadratic (monostable) nonlinear growth–decay rate in the generalized F–KPP we study in detail the influence of the variance in diffusion and mean displacement rates of the two genotypes on the minimal wave propagation speed. acknowledgement: "We thank Nick Barton, Katarína Bod’ová, and Sr\r\n-\r\ndan Sarikas for constructive feed-\r\nback and support. Furthermore, we would like to express our deep gratitude to the anonymous referees (one\r\nof whom, Jimmy Garnier, agreed to reveal his identity) and the editor Max Souza, for very helpful and\r\ndetailed comments and suggestions that significantly helped us to improve the manuscript. This project has\r\nreceived funding from the European Union’s Seventh Framework Programme for research, technological\r\ndevelopment and demonstration under Grant Agreement 618091 Speed of Adaptation in Population Genet-\r\nics and Evolutionary Computation (SAGE) and the European Research Council (ERC) Grant No. 250152\r\n(SN), from the Scientific Grant Agency of the Slovak Republic under the Grant 1/0459/13 and by the Slovak\r\nResearch and Development Agency under the Contract No. APVV-14-0378 (RK). RK would also like to\r\nthank IST Austria for its hospitality during the work on this project." author: - first_name: Richard full_name: Kollár, Richard last_name: Kollár - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak citation: ama: Kollár R, Novak S. Existence of traveling waves for the generalized F–KPP equation. Bulletin of Mathematical Biology. 2017;79(3):525-559. doi:10.1007/s11538-016-0244-3 apa: Kollár, R., & Novak, S. (2017). Existence of traveling waves for the generalized F–KPP equation. Bulletin of Mathematical Biology. Springer. https://doi.org/10.1007/s11538-016-0244-3 chicago: Kollár, Richard, and Sebastian Novak. “Existence of Traveling Waves for the Generalized F–KPP Equation.” Bulletin of Mathematical Biology. Springer, 2017. https://doi.org/10.1007/s11538-016-0244-3. ieee: R. Kollár and S. Novak, “Existence of traveling waves for the generalized F–KPP equation,” Bulletin of Mathematical Biology, vol. 79, no. 3. Springer, pp. 525–559, 2017. ista: Kollár R, Novak S. 2017. Existence of traveling waves for the generalized F–KPP equation. Bulletin of Mathematical Biology. 79(3), 525–559. mla: Kollár, Richard, and Sebastian Novak. “Existence of Traveling Waves for the Generalized F–KPP Equation.” Bulletin of Mathematical Biology, vol. 79, no. 3, Springer, 2017, pp. 525–59, doi:10.1007/s11538-016-0244-3. short: R. Kollár, S. Novak, Bulletin of Mathematical Biology 79 (2017) 525–559. date_created: 2018-12-11T11:50:38Z date_published: 2017-03-01T00:00:00Z date_updated: 2021-01-12T06:48:58Z day: '01' department: - _id: NiBa doi: 10.1007/s11538-016-0244-3 ec_funded: 1 intvolume: ' 79' issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1607.00944 month: '03' oa: 1 oa_version: Preprint page: 525-559 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Bulletin of Mathematical Biology publication_status: published publisher: Springer publist_id: '6160' quality_controlled: '1' scopus_import: 1 status: public title: Existence of traveling waves for the generalized F–KPP equation type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 79 year: '2017' ... --- _id: '570' abstract: - lang: eng text: 'Most phenotypes are determined by molecular systems composed of specifically interacting molecules. However, unlike for individual components, little is known about the distributions of mutational effects of molecular systems as a whole. We ask how the distribution of mutational effects of a transcriptional regulatory system differs from the distributions of its components, by first independently, and then simultaneously, mutating a transcription factor and the associated promoter it represses. We find that the system distribution exhibits increased phenotypic variation compared to individual component distributions - an effect arising from intermolecular epistasis between the transcription factor and its DNA-binding site. In large part, this epistasis can be qualitatively attributed to the structure of the transcriptional regulatory system and could therefore be a common feature in prokaryotes. Counter-intuitively, intermolecular epistasis can alleviate the constraints of individual components, thereby increasing phenotypic variation that selection could act on and facilitating adaptive evolution. ' article_number: e28921 author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Srdjan full_name: Sarikas, Srdjan id: 35F0286E-F248-11E8-B48F-1D18A9856A87 last_name: Sarikas - first_name: Hande full_name: Acar, Hande id: 2DDF136A-F248-11E8-B48F-1D18A9856A87 last_name: Acar orcid: 0000-0003-1986-9753 - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. Regulatory network structure determines patterns of intermolecular epistasis. eLife. 2017;6. doi:10.7554/eLife.28921 apa: Lagator, M., Sarikas, S., Acar, H., Bollback, J. P., & Guet, C. C. (2017). Regulatory network structure determines patterns of intermolecular epistasis. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.28921 chicago: Lagator, Mato, Srdjan Sarikas, Hande Acar, Jonathan P Bollback, and Calin C Guet. “Regulatory Network Structure Determines Patterns of Intermolecular Epistasis.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.28921. ieee: M. Lagator, S. Sarikas, H. Acar, J. P. Bollback, and C. C. Guet, “Regulatory network structure determines patterns of intermolecular epistasis,” eLife, vol. 6. eLife Sciences Publications, 2017. ista: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. 2017. Regulatory network structure determines patterns of intermolecular epistasis. eLife. 6, e28921. mla: Lagator, Mato, et al. “Regulatory Network Structure Determines Patterns of Intermolecular Epistasis.” ELife, vol. 6, e28921, eLife Sciences Publications, 2017, doi:10.7554/eLife.28921. short: M. Lagator, S. Sarikas, H. Acar, J.P. Bollback, C.C. Guet, ELife 6 (2017). date_created: 2018-12-11T11:47:14Z date_published: 2017-11-13T00:00:00Z date_updated: 2021-01-12T08:03:15Z day: '13' ddc: - '576' department: - _id: CaGu - _id: JoBo - _id: NiBa doi: 10.7554/eLife.28921 ec_funded: 1 file: - access_level: open_access checksum: 273ab17f33305e4eaafd911ff88e7c5b content_type: application/pdf creator: system date_created: 2018-12-12T10:14:42Z date_updated: 2020-07-14T12:47:10Z file_id: '5096' file_name: IST-2017-918-v1+1_elife-28921-figures-v3.pdf file_size: 8453470 relation: main_file - access_level: open_access checksum: b433f90576c7be597cd43367946f8e7f content_type: application/pdf creator: system date_created: 2018-12-12T10:14:43Z date_updated: 2020-07-14T12:47:10Z file_id: '5097' file_name: IST-2017-918-v1+2_elife-28921-v3.pdf file_size: 1953221 relation: main_file file_date_updated: 2020-07-14T12:47:10Z has_accepted_license: '1' intvolume: ' 6' language: - iso: eng month: '11' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: eLife publication_identifier: issn: - 2050084X publication_status: published publisher: eLife Sciences Publications publist_id: '7244' pubrep_id: '918' quality_controlled: '1' scopus_import: 1 status: public title: Regulatory network structure determines patterns of intermolecular epistasis tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 6 year: '2017' ... --- _id: '611' abstract: - lang: eng text: Small RNAs (sRNAs) regulate genes in plants and animals. Here, we show that population-wide differences in color patterns in snapdragon flowers are caused by an inverted duplication that generates sRNAs. The complexity and size of the transcripts indicate that the duplication represents an intermediate on the pathway to microRNA evolution. The sRNAs repress a pigment biosynthesis gene, creating a yellow highlight at the site of pollinator entry. The inverted duplication exhibits steep clines in allele frequency in a natural hybrid zone, showing that the allele is under selection. Thus, regulatory interactions of evolutionarily recent sRNAs can be acted upon by selection and contribute to the evolution of phenotypic diversity. author: - first_name: Desmond full_name: Bradley, Desmond last_name: Bradley - first_name: Ping full_name: Xu, Ping last_name: Xu - first_name: Irina full_name: Mohorianu, Irina last_name: Mohorianu - first_name: Annabel full_name: Whibley, Annabel last_name: Whibley - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Hugo full_name: Tavares, Hugo last_name: Tavares - first_name: Matthew full_name: Couchman, Matthew last_name: Couchman - first_name: Lucy full_name: Copsey, Lucy last_name: Copsey - first_name: Rosemary full_name: Carpenter, Rosemary last_name: Carpenter - first_name: Miaomiao full_name: Li, Miaomiao last_name: Li - first_name: Qun full_name: Li, Qun last_name: Li - first_name: Yongbiao full_name: Xue, Yongbiao last_name: Xue - first_name: Tamas full_name: Dalmay, Tamas last_name: Dalmay - first_name: Enrico full_name: Coen, Enrico last_name: Coen citation: ama: Bradley D, Xu P, Mohorianu I, et al. Evolution of flower color pattern through selection on regulatory small RNAs. Science. 2017;358(6365):925-928. doi:10.1126/science.aao3526 apa: Bradley, D., Xu, P., Mohorianu, I., Whibley, A., Field, D., Tavares, H., … Coen, E. (2017). Evolution of flower color pattern through selection on regulatory small RNAs. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aao3526 chicago: Bradley, Desmond, Ping Xu, Irina Mohorianu, Annabel Whibley, David Field, Hugo Tavares, Matthew Couchman, et al. “Evolution of Flower Color Pattern through Selection on Regulatory Small RNAs.” Science. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/science.aao3526. ieee: D. Bradley et al., “Evolution of flower color pattern through selection on regulatory small RNAs,” Science, vol. 358, no. 6365. American Association for the Advancement of Science, pp. 925–928, 2017. ista: Bradley D, Xu P, Mohorianu I, Whibley A, Field D, Tavares H, Couchman M, Copsey L, Carpenter R, Li M, Li Q, Xue Y, Dalmay T, Coen E. 2017. Evolution of flower color pattern through selection on regulatory small RNAs. Science. 358(6365), 925–928. mla: Bradley, Desmond, et al. “Evolution of Flower Color Pattern through Selection on Regulatory Small RNAs.” Science, vol. 358, no. 6365, American Association for the Advancement of Science, 2017, pp. 925–28, doi:10.1126/science.aao3526. short: D. Bradley, P. Xu, I. Mohorianu, A. Whibley, D. Field, H. Tavares, M. Couchman, L. Copsey, R. Carpenter, M. Li, Q. Li, Y. Xue, T. Dalmay, E. Coen, Science 358 (2017) 925–928. date_created: 2018-12-11T11:47:29Z date_published: 2017-11-17T00:00:00Z date_updated: 2021-01-12T08:06:10Z day: '17' department: - _id: NiBa doi: 10.1126/science.aao3526 intvolume: ' 358' issue: '6365' language: - iso: eng month: '11' oa_version: None page: 925 - 928 publication: Science publication_identifier: issn: - '00368075' publication_status: published publisher: American Association for the Advancement of Science publist_id: '7193' quality_controlled: '1' scopus_import: 1 status: public title: Evolution of flower color pattern through selection on regulatory small RNAs type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 358 year: '2017' ... --- _id: '626' abstract: - lang: eng text: 'Our focus here is on the infinitesimal model. In this model, one or several quantitative traits are described as the sum of a genetic and a non-genetic component, the first being distributed within families as a normal random variable centred at the average of the parental genetic components, and with a variance independent of the parental traits. Thus, the variance that segregates within families is not perturbed by selection, and can be predicted from the variance components. This does not necessarily imply that the trait distribution across the whole population should be Gaussian, and indeed selection or population structure may have a substantial effect on the overall trait distribution. One of our main aims is to identify some general conditions on the allelic effects for the infinitesimal model to be accurate. We first review the long history of the infinitesimal model in quantitative genetics. Then we formulate the model at the phenotypic level in terms of individual trait values and relationships between individuals, but including different evolutionary processes: genetic drift, recombination, selection, mutation, population structure, …. We give a range of examples of its application to evolutionary questions related to stabilising selection, assortative mating, effective population size and response to selection, habitat preference and speciation. We provide a mathematical justification of the model as the limit as the number M of underlying loci tends to infinity of a model with Mendelian inheritance, mutation and environmental noise, when the genetic component of the trait is purely additive. We also show how the model generalises to include epistatic effects. We prove in particular that, within each family, the genetic components of the individual trait values in the current generation are indeed normally distributed with a variance independent of ancestral traits, up to an error of order 1∕M. Simulations suggest that in some cases the convergence may be as fast as 1∕M.' author: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Alison full_name: Etheridge, Alison last_name: Etheridge - first_name: Amandine full_name: Véber, Amandine last_name: Véber citation: ama: 'Barton NH, Etheridge A, Véber A. The infinitesimal model: Definition derivation and implications. Theoretical Population Biology. 2017;118:50-73. doi:10.1016/j.tpb.2017.06.001' apa: 'Barton, N. H., Etheridge, A., & Véber, A. (2017). The infinitesimal model: Definition derivation and implications. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2017.06.001' chicago: 'Barton, Nicholas H, Alison Etheridge, and Amandine Véber. “The Infinitesimal Model: Definition Derivation and Implications.” Theoretical Population Biology. Academic Press, 2017. https://doi.org/10.1016/j.tpb.2017.06.001.' ieee: 'N. H. Barton, A. Etheridge, and A. Véber, “The infinitesimal model: Definition derivation and implications,” Theoretical Population Biology, vol. 118. Academic Press, pp. 50–73, 2017.' ista: 'Barton NH, Etheridge A, Véber A. 2017. The infinitesimal model: Definition derivation and implications. Theoretical Population Biology. 118, 50–73.' mla: 'Barton, Nicholas H., et al. “The Infinitesimal Model: Definition Derivation and Implications.” Theoretical Population Biology, vol. 118, Academic Press, 2017, pp. 50–73, doi:10.1016/j.tpb.2017.06.001.' short: N.H. Barton, A. Etheridge, A. Véber, Theoretical Population Biology 118 (2017) 50–73. date_created: 2018-12-11T11:47:34Z date_published: 2017-12-01T00:00:00Z date_updated: 2021-01-12T08:06:50Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1016/j.tpb.2017.06.001 ec_funded: 1 file: - access_level: open_access checksum: 7dd02bfcfe8f244f4a6c19091aedf2c8 content_type: application/pdf creator: system date_created: 2018-12-12T10:12:45Z date_updated: 2020-07-14T12:47:25Z file_id: '4964' file_name: IST-2017-908-v1+1_1-s2.0-S0040580917300886-main_1_.pdf file_size: 1133924 relation: main_file file_date_updated: 2020-07-14T12:47:25Z has_accepted_license: '1' intvolume: ' 118' language: - iso: eng month: '12' oa: 1 oa_version: Published Version page: 50 - 73 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Theoretical Population Biology publication_identifier: issn: - '00405809' publication_status: published publisher: Academic Press publist_id: '7169' pubrep_id: '908' quality_controlled: '1' scopus_import: 1 status: public title: 'The infinitesimal model: Definition derivation and implications' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 118 year: '2017' ... --- _id: '9849' abstract: - lang: eng text: This text provides additional information about the model, a derivation of the analytic results in Eq (4), and details about simulations of an additional parameter set. article_processing_charge: No author: - first_name: Marta full_name: Lukacisinova, Marta id: 4342E402-F248-11E8-B48F-1D18A9856A87 last_name: Lukacisinova orcid: 0000-0002-2519-8004 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Lukacisinova M, Novak S, Paixao T. Modelling and simulation details. 2017. doi:10.1371/journal.pcbi.1005609.s001 apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Modelling and simulation details. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s001 chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Modelling and Simulation Details.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s001. ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Modelling and simulation details.” Public Library of Science, 2017. ista: Lukacisinova M, Novak S, Paixao T. 2017. Modelling and simulation details, Public Library of Science, 10.1371/journal.pcbi.1005609.s001. mla: Lukacisinova, Marta, et al. Modelling and Simulation Details. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s001. short: M. Lukacisinova, S. Novak, T. Paixao, (2017). date_created: 2021-08-09T14:02:34Z date_published: 2017-07-18T00:00:00Z date_updated: 2023-02-23T12:55:39Z day: '18' department: - _id: ToBo - _id: NiBa - _id: CaGu doi: 10.1371/journal.pcbi.1005609.s001 month: '07' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '696' relation: used_in_publication status: public status: public title: Modelling and simulation details type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9850' abstract: - lang: eng text: In this text, we discuss how a cost of resistance and the possibility of lethal mutations impact our model. article_processing_charge: No author: - first_name: Marta full_name: Lukacisinova, Marta id: 4342E402-F248-11E8-B48F-1D18A9856A87 last_name: Lukacisinova orcid: 0000-0002-2519-8004 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Lukacisinova M, Novak S, Paixao T. Extensions of the model. 2017. doi:10.1371/journal.pcbi.1005609.s002 apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Extensions of the model. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s002 chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Extensions of the Model.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s002. ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Extensions of the model.” Public Library of Science, 2017. ista: Lukacisinova M, Novak S, Paixao T. 2017. Extensions of the model, Public Library of Science, 10.1371/journal.pcbi.1005609.s002. mla: Lukacisinova, Marta, et al. Extensions of the Model. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s002. short: M. Lukacisinova, S. Novak, T. Paixao, (2017). date_created: 2021-08-09T14:05:24Z date_published: 2017-07-18T00:00:00Z date_updated: 2023-02-23T12:55:39Z day: '18' department: - _id: ToBo - _id: CaGu - _id: NiBa doi: 10.1371/journal.pcbi.1005609.s002 month: '07' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '696' relation: used_in_publication status: public status: public title: Extensions of the model type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9851' abstract: - lang: eng text: Based on the intuitive derivation of the dynamics of SIM allele frequency pM in the main text, we present a heuristic prediction for the long-term SIM allele frequencies with χ > 1 stresses and compare it to numerical simulations. article_processing_charge: No author: - first_name: Marta full_name: Lukacisinova, Marta id: 4342E402-F248-11E8-B48F-1D18A9856A87 last_name: Lukacisinova orcid: 0000-0002-2519-8004 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Lukacisinova M, Novak S, Paixao T. Heuristic prediction for multiple stresses. 2017. doi:10.1371/journal.pcbi.1005609.s003 apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Heuristic prediction for multiple stresses. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s003 chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Heuristic Prediction for Multiple Stresses.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s003. ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Heuristic prediction for multiple stresses.” Public Library of Science, 2017. ista: Lukacisinova M, Novak S, Paixao T. 2017. Heuristic prediction for multiple stresses, Public Library of Science, 10.1371/journal.pcbi.1005609.s003. mla: Lukacisinova, Marta, et al. Heuristic Prediction for Multiple Stresses. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s003. short: M. Lukacisinova, S. Novak, T. Paixao, (2017). date_created: 2021-08-09T14:08:14Z date_published: 2017-07-18T00:00:00Z date_updated: 2023-02-23T12:55:39Z day: '18' department: - _id: ToBo - _id: CaGu - _id: NiBa doi: 10.1371/journal.pcbi.1005609.s003 month: '07' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '696' relation: used_in_publication status: public status: public title: Heuristic prediction for multiple stresses type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9852' abstract: - lang: eng text: We show how different combination strategies affect the fraction of individuals that are multi-resistant. article_processing_charge: No author: - first_name: Marta full_name: Lukacisinova, Marta id: 4342E402-F248-11E8-B48F-1D18A9856A87 last_name: Lukacisinova orcid: 0000-0002-2519-8004 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Lukacisinova M, Novak S, Paixao T. Resistance frequencies for different combination strategies. 2017. doi:10.1371/journal.pcbi.1005609.s004 apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Resistance frequencies for different combination strategies. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s004 chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Resistance Frequencies for Different Combination Strategies.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s004. ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Resistance frequencies for different combination strategies.” Public Library of Science, 2017. ista: Lukacisinova M, Novak S, Paixao T. 2017. Resistance frequencies for different combination strategies, Public Library of Science, 10.1371/journal.pcbi.1005609.s004. mla: Lukacisinova, Marta, et al. Resistance Frequencies for Different Combination Strategies. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s004. short: M. Lukacisinova, S. Novak, T. Paixao, (2017). date_created: 2021-08-09T14:11:40Z date_published: 2017-07-18T00:00:00Z date_updated: 2023-02-23T12:55:39Z day: '18' department: - _id: ToBo - _id: CaGu - _id: NiBa doi: 10.1371/journal.pcbi.1005609.s004 month: '07' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '696' relation: used_in_publication status: public status: public title: Resistance frequencies for different combination strategies type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '6291' abstract: - lang: eng text: Bacteria and their pathogens – phages – are the most abundant living entities on Earth. Throughout their coevolution, bacteria have evolved multiple immune systems to overcome the ubiquitous threat from the phages. Although the molecu- lar details of these immune systems’ functions are relatively well understood, their epidemiological consequences for the phage-bacterial communities have been largely neglected. In this thesis we employed both experimental and theoretical methods to explore whether herd and social immunity may arise in bacterial popu- lations. Using our experimental system consisting of Escherichia coli strains with a CRISPR based immunity to the T7 phage we show that herd immunity arises in phage-bacterial communities and that it is accentuated when the populations are spatially structured. By fitting a mathematical model, we inferred expressions for the herd immunity threshold and the velocity of spread of a phage epidemic in partially resistant bacterial populations, which both depend on the bacterial growth rate, phage burst size and phage latent period. We also investigated the poten- tial for social immunity in Streptococcus thermophilus and its phage 2972 using a bioinformatic analysis of potentially coding short open reading frames with a signalling signature, encoded within the CRISPR associated genes. Subsequently, we tested one identified potentially signalling peptide and found that its addition to a phage-challenged culture increases probability of survival of bacteria two fold, although the results were only marginally significant. Together, these results demonstrate that the ubiquitous arms races between bacteria and phages have further consequences at the level of the population. alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Pavel full_name: Payne, Pavel id: 35F78294-F248-11E8-B48F-1D18A9856A87 last_name: Payne orcid: 0000-0002-2711-9453 citation: ama: Payne P. Bacterial herd and social immunity to phages. 2017. apa: Payne, P. (2017). Bacterial herd and social immunity to phages. Institute of Science and Technology Austria. chicago: Payne, Pavel. “Bacterial Herd and Social Immunity to Phages.” Institute of Science and Technology Austria, 2017. ieee: P. Payne, “Bacterial herd and social immunity to phages,” Institute of Science and Technology Austria, 2017. ista: Payne P. 2017. Bacterial herd and social immunity to phages. Institute of Science and Technology Austria. mla: Payne, Pavel. Bacterial Herd and Social Immunity to Phages. Institute of Science and Technology Austria, 2017. short: P. Payne, Bacterial Herd and Social Immunity to Phages, Institute of Science and Technology Austria, 2017. date_created: 2019-04-09T15:16:45Z date_published: 2017-02-01T00:00:00Z date_updated: 2023-09-07T12:00:00Z day: '01' ddc: - '570' degree_awarded: PhD department: - _id: NiBa - _id: JoBo file: - access_level: closed checksum: a0fc5c26a89c0ea759947ffba87d0d8f content_type: application/pdf creator: dernst date_created: 2019-04-09T15:15:32Z date_updated: 2020-07-14T12:47:27Z file_id: '6292' file_name: thesis_pavel_payne_final_w_signature_page.pdf file_size: 3025175 relation: main_file - access_level: open_access checksum: af531e921a7f64a9e0af4cd8783b2226 content_type: application/pdf creator: dernst date_created: 2021-02-22T13:45:59Z date_updated: 2021-02-22T13:45:59Z file_id: '9187' file_name: 2017_Payne_Thesis.pdf file_size: 3111536 relation: main_file success: 1 file_date_updated: 2021-02-22T13:45:59Z has_accepted_license: '1' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: '83' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria status: public supervisor: - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 title: Bacterial herd and social immunity to phages type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2017' ... --- _id: '9842' abstract: - lang: eng text: Mathematica notebooks used to generate figures. article_processing_charge: No author: - first_name: Alison full_name: Etheridge, Alison last_name: Etheridge - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Etheridge A, Barton NH. Data for: Establishment in a new habitat by polygenic adaptation. 2017. doi:10.17632/nw68fxzjpm.1' apa: 'Etheridge, A., & Barton, N. H. (2017). Data for: Establishment in a new habitat by polygenic adaptation. Mendeley Data. https://doi.org/10.17632/nw68fxzjpm.1' chicago: 'Etheridge, Alison, and Nicholas H Barton. “Data for: Establishment in a New Habitat by Polygenic Adaptation.” Mendeley Data, 2017. https://doi.org/10.17632/nw68fxzjpm.1.' ieee: 'A. Etheridge and N. H. Barton, “Data for: Establishment in a new habitat by polygenic adaptation.” Mendeley Data, 2017.' ista: 'Etheridge A, Barton NH. 2017. Data for: Establishment in a new habitat by polygenic adaptation, Mendeley Data, 10.17632/nw68fxzjpm.1.' mla: 'Etheridge, Alison, and Nicholas H. Barton. Data for: Establishment in a New Habitat by Polygenic Adaptation. Mendeley Data, 2017, doi:10.17632/nw68fxzjpm.1.' short: A. Etheridge, N.H. Barton, (2017). date_created: 2021-08-09T13:18:55Z date_published: 2017-12-29T00:00:00Z date_updated: 2023-09-11T13:41:21Z day: '29' department: - _id: NiBa doi: 10.17632/nw68fxzjpm.1 main_file_link: - open_access: '1' url: https://doi.org/10.17632/nw68fxzjpm.1 month: '12' oa: 1 oa_version: Published Version publisher: Mendeley Data related_material: record: - id: '564' relation: used_in_publication status: public status: public title: 'Data for: Establishment in a new habitat by polygenic adaptation' type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '1351' abstract: - lang: eng text: The behaviour of gene regulatory networks (GRNs) is typically analysed using simulation-based statistical testing-like methods. In this paper, we demonstrate that we can replace this approach by a formal verification-like method that gives higher assurance and scalability. We focus on Wagner’s weighted GRN model with varying weights, which is used in evolutionary biology. In the model, weight parameters represent the gene interaction strength that may change due to genetic mutations. For a property of interest, we synthesise the constraints over the parameter space that represent the set of GRNs satisfying the property. We experimentally show that our parameter synthesis procedure computes the mutational robustness of GRNs—an important problem of interest in evolutionary biology—more efficiently than the classical simulation method. We specify the property in linear temporal logic. We employ symbolic bounded model checking and SMT solving to compute the space of GRNs that satisfy the property, which amounts to synthesizing a set of linear constraints on the weights. article_processing_charge: No author: - first_name: Mirco full_name: Giacobbe, Mirco id: 3444EA5E-F248-11E8-B48F-1D18A9856A87 last_name: Giacobbe orcid: 0000-0001-8180-0904 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Ashutosh full_name: Gupta, Ashutosh id: 335E5684-F248-11E8-B48F-1D18A9856A87 last_name: Gupta - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Tatjana full_name: Petrov, Tatjana id: 3D5811FC-F248-11E8-B48F-1D18A9856A87 last_name: Petrov orcid: 0000-0002-9041-0905 citation: ama: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking the evolution of gene regulatory networks. Acta Informatica. 2017;54(8):765-787. doi:10.1007/s00236-016-0278-x apa: Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., & Petrov, T. (2017). Model checking the evolution of gene regulatory networks. Acta Informatica. Springer. https://doi.org/10.1007/s00236-016-0278-x chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago Paixao, and Tatjana Petrov. “Model Checking the Evolution of Gene Regulatory Networks.” Acta Informatica. Springer, 2017. https://doi.org/10.1007/s00236-016-0278-x. ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov, “Model checking the evolution of gene regulatory networks,” Acta Informatica, vol. 54, no. 8. Springer, pp. 765–787, 2017. ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2017. Model checking the evolution of gene regulatory networks. Acta Informatica. 54(8), 765–787. mla: Giacobbe, Mirco, et al. “Model Checking the Evolution of Gene Regulatory Networks.” Acta Informatica, vol. 54, no. 8, Springer, 2017, pp. 765–87, doi:10.1007/s00236-016-0278-x. short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, Acta Informatica 54 (2017) 765–787. date_created: 2018-12-11T11:51:32Z date_published: 2017-12-01T00:00:00Z date_updated: 2023-09-20T11:06:03Z day: '01' ddc: - '006' - '576' department: - _id: ToHe - _id: CaGu - _id: NiBa doi: 10.1007/s00236-016-0278-x ec_funded: 1 external_id: isi: - '000414343200003' file: - access_level: open_access checksum: 4e661d9135d7f8c342e8e258dee76f3e content_type: application/pdf creator: dernst date_created: 2019-01-17T15:57:29Z date_updated: 2020-07-14T12:44:46Z file_id: '5841' file_name: 2017_ActaInformatica_Giacobbe.pdf file_size: 755241 relation: main_file file_date_updated: 2020-07-14T12:44:46Z has_accepted_license: '1' intvolume: ' 54' isi: 1 issue: '8' language: - iso: eng month: '12' oa: 1 oa_version: Published Version page: 765 - 787 project: - _id: 25EE3708-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '267989' name: Quantitative Reactive Modeling - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Acta Informatica publication_identifier: issn: - '00015903' publication_status: published publisher: Springer publist_id: '5898' pubrep_id: '649' quality_controlled: '1' related_material: record: - id: '1835' relation: earlier_version status: public scopus_import: '1' status: public title: Model checking the evolution of gene regulatory networks tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 54 year: '2017' ... --- _id: '1336' abstract: - lang: eng text: Evolutionary algorithms (EAs) form a popular optimisation paradigm inspired by natural evolution. In recent years the field of evolutionary computation has developed a rigorous analytical theory to analyse the runtimes of EAs on many illustrative problems. Here we apply this theory to a simple model of natural evolution. In the Strong Selection Weak Mutation (SSWM) evolutionary regime the time between occurrences of new mutations is much longer than the time it takes for a mutated genotype to take over the population. In this situation, the population only contains copies of one genotype and evolution can be modelled as a stochastic process evolving one genotype by means of mutation and selection between the resident and the mutated genotype. The probability of accepting the mutated genotype then depends on the change in fitness. We study this process, SSWM, from an algorithmic perspective, quantifying its expected optimisation time for various parameters and investigating differences to a similar evolutionary algorithm, the well-known (1+1) EA. We show that SSWM can have a moderate advantage over the (1+1) EA at crossing fitness valleys and study an example where SSWM outperforms the (1+1) EA by taking advantage of information on the fitness gradient. article_processing_charge: No author: - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Jorge full_name: Pérez Heredia, Jorge last_name: Pérez Heredia - first_name: Dirk full_name: Sudholt, Dirk last_name: Sudholt - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 citation: ama: Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. Towards a runtime comparison of natural and artificial evolution. Algorithmica. 2017;78(2):681-713. doi:10.1007/s00453-016-0212-1 apa: Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B. (2017). Towards a runtime comparison of natural and artificial evolution. Algorithmica. Springer. https://doi.org/10.1007/s00453-016-0212-1 chicago: Paixao, Tiago, Jorge Pérez Heredia, Dirk Sudholt, and Barbora Trubenova. “Towards a Runtime Comparison of Natural and Artificial Evolution.” Algorithmica. Springer, 2017. https://doi.org/10.1007/s00453-016-0212-1. ieee: T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “Towards a runtime comparison of natural and artificial evolution,” Algorithmica, vol. 78, no. 2. Springer, pp. 681–713, 2017. ista: Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2017. Towards a runtime comparison of natural and artificial evolution. Algorithmica. 78(2), 681–713. mla: Paixao, Tiago, et al. “Towards a Runtime Comparison of Natural and Artificial Evolution.” Algorithmica, vol. 78, no. 2, Springer, 2017, pp. 681–713, doi:10.1007/s00453-016-0212-1. short: T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica 78 (2017) 681–713. date_created: 2018-12-11T11:51:27Z date_published: 2017-06-01T00:00:00Z date_updated: 2023-09-20T11:14:42Z day: '01' ddc: - '576' department: - _id: NiBa - _id: CaGu doi: 10.1007/s00453-016-0212-1 ec_funded: 1 external_id: isi: - '000400379500013' file: - access_level: open_access checksum: 7873f665a0c598ac747c908f34cb14b9 content_type: application/pdf creator: system date_created: 2018-12-12T10:10:19Z date_updated: 2020-07-14T12:44:44Z file_id: '4805' file_name: IST-2016-658-v1+1_s00453-016-0212-1.pdf file_size: 710206 relation: main_file file_date_updated: 2020-07-14T12:44:44Z has_accepted_license: '1' intvolume: ' 78' isi: 1 issue: '2' language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: 681 - 713 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: Algorithmica publication_identifier: issn: - '01784617' publication_status: published publisher: Springer publist_id: '5931' pubrep_id: '658' quality_controlled: '1' scopus_import: '1' status: public title: Towards a runtime comparison of natural and artificial evolution tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 78 year: '2017' ... --- _id: '1199' abstract: - lang: eng text: Much of quantitative genetics is based on the ‘infinitesimal model’, under which selection has a negligible effect on the genetic variance. This is typically justified by assuming a very large number of loci with additive effects. However, it applies even when genes interact, provided that the number of loci is large enough that selection on each of them is weak relative to random drift. In the long term, directional selection will change allele frequencies, but even then, the effects of epistasis on the ultimate change in trait mean due to selection may be modest. Stabilising selection can maintain many traits close to their optima, even when the underlying alleles are weakly selected. However, the number of traits that can be optimised is apparently limited to ~4Ne by the ‘drift load’, and this is hard to reconcile with the apparent complexity of many organisms. Just as for the mutation load, this limit can be evaded by a particular form of negative epistasis. A more robust limit is set by the variance in reproductive success. This suggests that selection accumulates information most efficiently in the infinitesimal regime, when selection on individual alleles is weak, and comparable with random drift. A review of evidence on selection strength suggests that although most variance in fitness may be because of alleles with large Nes, substantial amounts of adaptation may be because of alleles in the infinitesimal regime, in which epistasis has modest effects. article_processing_charge: No author: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Barton NH. How does epistasis influence the response to selection? Heredity. 2017;118:96-109. doi:10.1038/hdy.2016.109 apa: Barton, N. H. (2017). How does epistasis influence the response to selection? Heredity. Nature Publishing Group. https://doi.org/10.1038/hdy.2016.109 chicago: Barton, Nicholas H. “How Does Epistasis Influence the Response to Selection?” Heredity. Nature Publishing Group, 2017. https://doi.org/10.1038/hdy.2016.109. ieee: N. H. Barton, “How does epistasis influence the response to selection?,” Heredity, vol. 118. Nature Publishing Group, pp. 96–109, 2017. ista: Barton NH. 2017. How does epistasis influence the response to selection? Heredity. 118, 96–109. mla: Barton, Nicholas H. “How Does Epistasis Influence the Response to Selection?” Heredity, vol. 118, Nature Publishing Group, 2017, pp. 96–109, doi:10.1038/hdy.2016.109. short: N.H. Barton, Heredity 118 (2017) 96–109. date_created: 2018-12-11T11:50:40Z date_published: 2017-01-01T00:00:00Z date_updated: 2023-09-20T11:17:47Z day: '01' department: - _id: NiBa doi: 10.1038/hdy.2016.109 ec_funded: 1 external_id: isi: - '000392229100011' intvolume: ' 118' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5176114/ month: '01' oa: 1 oa_version: Submitted Version page: 96 - 109 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Heredity publication_status: published publisher: Nature Publishing Group publist_id: '6151' quality_controlled: '1' related_material: record: - id: '9710' relation: research_data status: public scopus_import: '1' status: public title: How does epistasis influence the response to selection? type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 118 year: '2017' ... --- _id: '1169' abstract: - lang: eng text: Dispersal is a crucial factor in natural evolution, since it determines the habitat experienced by any population and defines the spatial scale of interactions between individuals. There is compelling evidence for systematic differences in dispersal characteristics within the same population, i.e., genotype-dependent dispersal. The consequences of genotype-dependent dispersal on other evolutionary phenomena, however, are poorly understood. In this article we investigate the effect of genotype-dependent dispersal on spatial gene frequency patterns, using a generalization of the classical diffusion model of selection and dispersal. Dispersal is characterized by the variance of dispersal (diffusion coefficient) and the mean displacement (directional advection term). We demonstrate that genotype-dependent dispersal may change the qualitative behavior of Fisher waves, which change from being “pulled” to being “pushed” wave fronts as the discrepancy in dispersal between genotypes increases. The speed of any wave is partitioned into components due to selection, genotype-dependent variance of dispersal, and genotype-dependent mean displacement. We apply our findings to wave fronts maintained by selection against heterozygotes. Furthermore, we identify a benefit of increased variance of dispersal, quantify its effect on the speed of the wave, and discuss the implications for the evolution of dispersal strategies. article_processing_charge: No author: - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak orcid: 0000-0002-2519-824X - first_name: Richard full_name: Kollár, Richard last_name: Kollár citation: ama: Novak S, Kollár R. Spatial gene frequency waves under genotype dependent dispersal. Genetics. 2017;205(1):367-374. doi:10.1534/genetics.116.193946 apa: Novak, S., & Kollár, R. (2017). Spatial gene frequency waves under genotype dependent dispersal. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.193946 chicago: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under Genotype Dependent Dispersal.” Genetics. Genetics Society of America, 2017. https://doi.org/10.1534/genetics.116.193946. ieee: S. Novak and R. Kollár, “Spatial gene frequency waves under genotype dependent dispersal,” Genetics, vol. 205, no. 1. Genetics Society of America, pp. 367–374, 2017. ista: Novak S, Kollár R. 2017. Spatial gene frequency waves under genotype dependent dispersal. Genetics. 205(1), 367–374. mla: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under Genotype Dependent Dispersal.” Genetics, vol. 205, no. 1, Genetics Society of America, 2017, pp. 367–74, doi:10.1534/genetics.116.193946. short: S. Novak, R. Kollár, Genetics 205 (2017) 367–374. date_created: 2018-12-11T11:50:31Z date_published: 2017-01-01T00:00:00Z date_updated: 2023-09-20T11:24:21Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1534/genetics.116.193946 ec_funded: 1 external_id: isi: - '000393677300025' file: - access_level: open_access checksum: 7c8ab79cda1f92760bbbbe0f53175bfc content_type: application/pdf creator: system date_created: 2018-12-12T10:10:43Z date_updated: 2020-07-14T12:44:37Z file_id: '4833' file_name: IST-2016-727-v1+1_SFC_Genetics_final.pdf file_size: 361500 relation: main_file file_date_updated: 2020-07-14T12:44:37Z has_accepted_license: '1' intvolume: ' 205' isi: 1 issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 367 - 374 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Genetics publication_identifier: issn: - '00166731' publication_status: published publisher: Genetics Society of America publist_id: '6188' pubrep_id: '727' quality_controlled: '1' scopus_import: '1' status: public title: Spatial gene frequency waves under genotype dependent dispersal type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 205 year: '2017' ... --- _id: '1111' abstract: - lang: eng text: Adaptation depends critically on the effects of new mutations and their dependency on the genetic background in which they occur. These two factors can be summarized by the fitness landscape. However, it would require testing all mutations in all backgrounds, making the definition and analysis of fitness landscapes mostly inaccessible. Instead of postulating a particular fitness landscape, we address this problem by considering general classes of landscapes and calculating an upper limit for the time it takes for a population to reach a fitness peak, circumventing the need to have full knowledge about the fitness landscape. We analyze populations in the weak-mutation regime and characterize the conditions that enable them to quickly reach the fitness peak as a function of the number of sites under selection. We show that for additive landscapes there is a critical selection strength enabling populations to reach high-fitness genotypes, regardless of the distribution of effects. This threshold scales with the number of sites under selection, effectively setting a limit to adaptation, and results from the inevitable increase in deleterious mutational pressure as the population adapts in a space of discrete genotypes. Furthermore, we show that for the class of all unimodal landscapes this condition is sufficient but not necessary for rapid adaptation, as in some highly epistatic landscapes the critical strength does not depend on the number of sites under selection; effectively removing this barrier to adaptation. article_processing_charge: No article_type: original author: - first_name: Jorge full_name: Heredia, Jorge last_name: Heredia - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 - first_name: Dirk full_name: Sudholt, Dirk last_name: Sudholt - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Heredia J, Trubenova B, Sudholt D, Paixao T. Selection limits to adaptive walks on correlated landscapes. Genetics. 2017;205(2):803-825. doi:10.1534/genetics.116.189340 apa: Heredia, J., Trubenova, B., Sudholt, D., & Paixao, T. (2017). Selection limits to adaptive walks on correlated landscapes. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.189340 chicago: Heredia, Jorge, Barbora Trubenova, Dirk Sudholt, and Tiago Paixao. “Selection Limits to Adaptive Walks on Correlated Landscapes.” Genetics. Genetics Society of America, 2017. https://doi.org/10.1534/genetics.116.189340. ieee: J. Heredia, B. Trubenova, D. Sudholt, and T. Paixao, “Selection limits to adaptive walks on correlated landscapes,” Genetics, vol. 205, no. 2. Genetics Society of America, pp. 803–825, 2017. ista: Heredia J, Trubenova B, Sudholt D, Paixao T. 2017. Selection limits to adaptive walks on correlated landscapes. Genetics. 205(2), 803–825. mla: Heredia, Jorge, et al. “Selection Limits to Adaptive Walks on Correlated Landscapes.” Genetics, vol. 205, no. 2, Genetics Society of America, 2017, pp. 803–25, doi:10.1534/genetics.116.189340. short: J. Heredia, B. Trubenova, D. Sudholt, T. Paixao, Genetics 205 (2017) 803–825. date_created: 2018-12-11T11:50:12Z date_published: 2017-02-01T00:00:00Z date_updated: 2023-09-20T11:35:03Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.116.189340 ec_funded: 1 external_id: isi: - '000394144900025' pmid: - '27881471' intvolume: ' 205' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1534/genetics.116.189340 month: '02' oa: 1 oa_version: Published Version page: 803 - 825 pmid: 1 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: Genetics publication_identifier: issn: - '00166731' publication_status: published publisher: Genetics Society of America publist_id: '6256' quality_controlled: '1' scopus_import: '1' status: public title: Selection limits to adaptive walks on correlated landscapes type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 205 year: '2017' ... --- _id: '1077' abstract: - lang: eng text: Viral capsids are structurally constrained by interactions among the amino acids (AAs) of their constituent proteins. Therefore, epistasis is expected to evolve among physically interacting sites and to influence the rates of substitution. To study the evolution of epistasis, we focused on the major structural protein of the fX174 phage family by first reconstructing the ancestral protein sequences of 18 species using a Bayesian statistical framework. The inferred ancestral reconstruction differed at eight AAs, for a total of 256 possible ancestral haplotypes. For each ancestral haplotype and the extant species, we estimated, in silico, the distribution of free energies and epistasis of the capsid structure. We found that free energy has not significantly increased but epistasis has. We decomposed epistasis up to fifth order and found that higher-order epistasis sometimes compensates pairwise interactions making the free energy seem additive. The dN/dS ratio is low, suggesting strong purifying selection, and that structure is under stabilizing selection. We synthesized phages carrying ancestral haplotypes of the coat protein gene and measured their fitness experimentally. Our findings indicate that stabilizing mutations can have higher fitness, and that fitness optima do not necessarily coincide with energy minima. article_number: '20160139' article_processing_charge: Yes (in subscription journal) author: - first_name: Rodrigo A full_name: Fernandes Redondo, Rodrigo A id: 409D5C96-F248-11E8-B48F-1D18A9856A87 last_name: Fernandes Redondo orcid: 0000-0002-5837-2793 - first_name: Harold full_name: Vladar, Harold id: 2A181218-F248-11E8-B48F-1D18A9856A87 last_name: Vladar orcid: 0000-0002-5985-7653 - first_name: Tomasz full_name: Włodarski, Tomasz last_name: Włodarski - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 citation: ama: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. Journal of the Royal Society Interface. 2017;14(126). doi:10.1098/rsif.2016.0139 apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & Bollback, J. P. (2017). Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. Journal of the Royal Society Interface. Royal Society of London. https://doi.org/10.1098/rsif.2016.0139 chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan P Bollback. “Evolutionary Interplay between Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” Journal of the Royal Society Interface. Royal Society of London, 2017. https://doi.org/10.1098/rsif.2016.0139. ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family,” Journal of the Royal Society Interface, vol. 14, no. 126. Royal Society of London, 2017. ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2017. Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. Journal of the Royal Society Interface. 14(126), 20160139. mla: Fernandes Redondo, Rodrigo A., et al. “Evolutionary Interplay between Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” Journal of the Royal Society Interface, vol. 14, no. 126, 20160139, Royal Society of London, 2017, doi:10.1098/rsif.2016.0139. short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, Journal of the Royal Society Interface 14 (2017). date_created: 2018-12-11T11:50:01Z date_published: 2017-01-04T00:00:00Z date_updated: 2023-09-20T11:56:34Z day: '04' ddc: - '570' department: - _id: NiBa - _id: JoBo doi: 10.1098/rsif.2016.0139 ec_funded: 1 external_id: isi: - '000393380400001' file: - access_level: open_access content_type: application/pdf creator: dernst date_created: 2019-01-18T09:14:02Z date_updated: 2019-01-18T09:14:02Z file_id: '5843' file_name: 2017_JRSI_Redondo.pdf file_size: 1092015 relation: main_file success: 1 file_date_updated: 2019-01-18T09:14:02Z has_accepted_license: '1' intvolume: ' 14' isi: 1 issue: '126' language: - iso: eng month: '01' oa: 1 oa_version: Published Version project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: Journal of the Royal Society Interface publication_identifier: issn: - '17425689' publication_status: published publisher: Royal Society of London publist_id: '6303' quality_controlled: '1' related_material: record: - id: '9864' relation: research_data status: public scopus_import: '1' status: public title: Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 14 year: '2017' ... --- _id: '1074' abstract: - lang: eng text: Recently it has become feasible to detect long blocks of nearly identical sequence shared between pairs of genomes. These IBD blocks are direct traces of recent coalescence events and, as such, contain ample signal to infer recent demography. Here, we examine sharing of such blocks in two-dimensional populations with local migration. Using a diffusion approximation to trace genetic ancestry, we derive analytical formulae for patterns of isolation by distance of IBD blocks, which can also incorporate recent population density changes. We introduce an inference scheme that uses a composite likelihood approach to fit these formulae. We then extensively evaluate our theory and inference method on a range of scenarios using simulated data. We first validate the diffusion approximation by showing that the theoretical results closely match the simulated block sharing patterns. We then demonstrate that our inference scheme can accurately and robustly infer dispersal rate and effective density, as well as bounds on recent dynamics of population density. To demonstrate an application, we use our estimation scheme to explore the fit of a diffusion model to Eastern European samples in the POPRES data set. We show that ancestry diffusing with a rate of σ ≈ 50–100 km/√gen during the last centuries, combined with accelerating population growth, can explain the observed exponential decay of block sharing with increasing pairwise sample distance. article_processing_charge: No author: - first_name: Harald full_name: Ringbauer, Harald id: 417FCFF4-F248-11E8-B48F-1D18A9856A87 last_name: Ringbauer orcid: 0000-0002-4884-9682 - first_name: Graham full_name: Coop, Graham last_name: Coop - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Ringbauer H, Coop G, Barton NH. Inferring recent demography from isolation by distance of long shared sequence blocks. Genetics. 2017;205(3):1335-1351. doi:10.1534/genetics.116.196220 apa: Ringbauer, H., Coop, G., & Barton, N. H. (2017). Inferring recent demography from isolation by distance of long shared sequence blocks. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.196220 chicago: Ringbauer, Harald, Graham Coop, and Nicholas H Barton. “Inferring Recent Demography from Isolation by Distance of Long Shared Sequence Blocks.” Genetics. Genetics Society of America, 2017. https://doi.org/10.1534/genetics.116.196220. ieee: H. Ringbauer, G. Coop, and N. H. Barton, “Inferring recent demography from isolation by distance of long shared sequence blocks,” Genetics, vol. 205, no. 3. Genetics Society of America, pp. 1335–1351, 2017. ista: Ringbauer H, Coop G, Barton NH. 2017. Inferring recent demography from isolation by distance of long shared sequence blocks. Genetics. 205(3), 1335–1351. mla: Ringbauer, Harald, et al. “Inferring Recent Demography from Isolation by Distance of Long Shared Sequence Blocks.” Genetics, vol. 205, no. 3, Genetics Society of America, 2017, pp. 1335–51, doi:10.1534/genetics.116.196220. short: H. Ringbauer, G. Coop, N.H. Barton, Genetics 205 (2017) 1335–1351. date_created: 2018-12-11T11:50:00Z date_published: 2017-03-01T00:00:00Z date_updated: 2023-09-20T12:00:56Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.116.196220 ec_funded: 1 external_id: isi: - '000395807200023' intvolume: ' 205' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: http://www.biorxiv.org/content/early/2016/09/23/076810 month: '03' oa: 1 oa_version: Preprint page: 1335 - 1351 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Genetics publication_identifier: issn: - '00166731' publication_status: published publisher: Genetics Society of America publist_id: '6307' quality_controlled: '1' related_material: record: - id: '200' relation: dissertation_contains status: public scopus_import: '1' status: public title: Inferring recent demography from isolation by distance of long shared sequence blocks type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 205 year: '2017' ... --- _id: '1063' abstract: - lang: eng text: Severe environmental change can drive a population extinct unless the population adapts in time to the new conditions (“evolutionary rescue”). How does biparental sexual reproduction influence the chances of population persistence compared to clonal reproduction or selfing? In this article, we set up a one‐locus two‐allele model for adaptation in diploid species, where rescue is contingent on the establishment of the mutant homozygote. Reproduction can occur by random mating, selfing, or clonally. Random mating generates and destroys the rescue mutant; selfing is efficient at generating it but at the same time depletes the heterozygote, which can lead to a low mutant frequency in the standing genetic variation. Due to these (and other) antagonistic effects, we find a nontrivial dependence of population survival on the rate of sex/selfing, which is strongly influenced by the dominance coefficient of the mutation before and after the environmental change. Importantly, since mating with the wild‐type breaks the mutant homozygote up, a slow decay of the wild‐type population size can impede rescue in randomly mating populations. article_processing_charge: No author: - first_name: Hildegard full_name: Uecker, Hildegard id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87 last_name: Uecker orcid: 0000-0001-9435-2813 citation: ama: Uecker H. Evolutionary rescue in randomly mating, selfing, and clonal populations. Evolution. 2017;71(4):845-858. doi:10.1111/evo.13191 apa: Uecker, H. (2017). Evolutionary rescue in randomly mating, selfing, and clonal populations. Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.13191 chicago: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and Clonal Populations.” Evolution. Wiley-Blackwell, 2017. https://doi.org/10.1111/evo.13191. ieee: H. Uecker, “Evolutionary rescue in randomly mating, selfing, and clonal populations,” Evolution, vol. 71, no. 4. Wiley-Blackwell, pp. 845–858, 2017. ista: Uecker H. 2017. Evolutionary rescue in randomly mating, selfing, and clonal populations. Evolution. 71(4), 845–858. mla: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and Clonal Populations.” Evolution, vol. 71, no. 4, Wiley-Blackwell, 2017, pp. 845–58, doi:10.1111/evo.13191. short: H. Uecker, Evolution 71 (2017) 845–858. date_created: 2018-12-11T11:49:57Z date_published: 2017-04-01T00:00:00Z date_updated: 2023-09-20T12:10:32Z day: '01' department: - _id: NiBa doi: 10.1111/evo.13191 ec_funded: 1 external_id: isi: - '000398545200003' intvolume: ' 71' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: http://biorxiv.org/content/early/2016/10/14/081042 month: '04' oa: 1 oa_version: Submitted Version page: 845 - 858 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Evolution publication_identifier: issn: - '00143820' publication_status: published publisher: Wiley-Blackwell publist_id: '6327' quality_controlled: '1' scopus_import: '1' status: public title: Evolutionary rescue in randomly mating, selfing, and clonal populations type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 71 year: '2017' ... --- _id: '990' abstract: - lang: eng text: Assortative mating is an important driver of speciation in populations with gene flow and is predicted to evolve under certain conditions in few-locus models. However, the evolution of assortment is less understood for mating based on quantitative traits, which are often characterized by high genetic variability and extensive linkage disequilibrium between trait loci. We explore this scenario for a two-deme model with migration, by considering a single polygenic trait subject to divergent viability selection across demes, as well as assortative mating and sexual selection within demes, and investigate how trait divergence is shaped by various evolutionary forces. Our analysis reveals the existence of sharp thresholds of assortment strength, at which divergence increases dramatically. We also study the evolution of assortment via invasion of modifiers of mate discrimination and show that the ES assortment strength has an intermediate value under a range of migration-selection parameters, even in diverged populations, due to subtle effects which depend sensitively on the extent of phenotypic variation within these populations. The evolutionary dynamics of the polygenic trait is studied using the hypergeometric and infinitesimal models. We further investigate the sensitivity of our results to the assumptions of the hypergeometric model, using individual-based simulations. article_processing_charge: No author: - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Sachdeva H, Barton NH. Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow. Evolution; International Journal of Organic Evolution. 2017;71(6):1478-1493. doi:10.1111/evo.13252 apa: Sachdeva, H., & Barton, N. H. (2017). Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow. Evolution; International Journal of Organic Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.13252 chicago: Sachdeva, Himani, and Nicholas H Barton. “Divergence and Evolution of Assortative Mating in a Polygenic Trait Model of Speciation with Gene Flow.” Evolution; International Journal of Organic Evolution. Wiley-Blackwell, 2017. https://doi.org/10.1111/evo.13252. ieee: H. Sachdeva and N. H. Barton, “Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow,” Evolution; International Journal of Organic Evolution, vol. 71, no. 6. Wiley-Blackwell, pp. 1478–1493, 2017. ista: Sachdeva H, Barton NH. 2017. Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow. Evolution; International Journal of Organic Evolution. 71(6), 1478–1493. mla: Sachdeva, Himani, and Nicholas H. Barton. “Divergence and Evolution of Assortative Mating in a Polygenic Trait Model of Speciation with Gene Flow.” Evolution; International Journal of Organic Evolution, vol. 71, no. 6, Wiley-Blackwell, 2017, pp. 1478–93, doi:10.1111/evo.13252. short: H. Sachdeva, N.H. Barton, Evolution; International Journal of Organic Evolution 71 (2017) 1478–1493. date_created: 2018-12-11T11:49:34Z date_published: 2017-06-01T00:00:00Z date_updated: 2023-09-22T09:55:13Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1111/evo.13252 ec_funded: 1 external_id: isi: - '000403014800005' pmid: - '28419447' file: - access_level: open_access checksum: 6d4c38cb1347fd43620d1736c6df5c79 content_type: application/pdf creator: dernst date_created: 2019-04-17T07:37:04Z date_updated: 2020-07-14T12:48:18Z file_id: '6329' file_name: 2017_Evolution_Sachdeva_supplement.pdf file_size: 625260 relation: main_file - access_level: open_access checksum: f1d90dd8831b44baf49b4dd176f263af content_type: application/pdf creator: dernst date_created: 2019-04-17T07:37:04Z date_updated: 2020-07-14T12:48:18Z file_id: '6330' file_name: 2017_Evolution_Sachdeva_article.pdf file_size: 520110 relation: main_file file_date_updated: 2020-07-14T12:48:18Z has_accepted_license: '1' intvolume: ' 71' isi: 1 issue: '6' language: - iso: eng month: '06' oa: 1 oa_version: Submitted Version page: '1478 - 1493 ' pmid: 1 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Evolution; International Journal of Organic Evolution publication_identifier: issn: - '00143820' publication_status: published publisher: Wiley-Blackwell publist_id: '6409' pubrep_id: '977' quality_controlled: '1' scopus_import: '1' status: public title: Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 71 year: '2017' ... --- _id: '954' abstract: - lang: eng text: Understanding the relation between genotype and phenotype remains a major challenge. The difficulty of predicting individual mutation effects, and particularly the interactions between them, has prevented the development of a comprehensive theory that links genotypic changes to their phenotypic effects. We show that a general thermodynamic framework for gene regulation, based on a biophysical understanding of protein-DNA binding, accurately predicts the sign of epistasis in a canonical cis-regulatory element consisting of overlapping RNA polymerase and repressor binding sites. Sign and magnitude of individual mutation effects are sufficient to predict the sign of epistasis and its environmental dependence. Thus, the thermodynamic model offers the correct null prediction for epistasis between mutations across DNA-binding sites. Our results indicate that a predictive theory for the effects of cis-regulatory mutations is possible from first principles, as long as the essential molecular mechanisms and the constraints these impose on a biological system are accounted for. article_number: e25192 article_processing_charge: Yes author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. On the mechanistic nature of epistasis in a canonical cis-regulatory element. eLife. 2017;6. doi:10.7554/eLife.25192 apa: Lagator, M., Paixao, T., Barton, N. H., Bollback, J. P., & Guet, C. C. (2017). On the mechanistic nature of epistasis in a canonical cis-regulatory element. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.25192 chicago: Lagator, Mato, Tiago Paixao, Nicholas H Barton, Jonathan P Bollback, and Calin C Guet. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory Element.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25192. ieee: M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife, vol. 6. eLife Sciences Publications, 2017. ista: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. 2017. On the mechanistic nature of epistasis in a canonical cis-regulatory element. eLife. 6, e25192. mla: Lagator, Mato, et al. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory Element.” ELife, vol. 6, e25192, eLife Sciences Publications, 2017, doi:10.7554/eLife.25192. short: M. Lagator, T. Paixao, N.H. Barton, J.P. Bollback, C.C. Guet, ELife 6 (2017). date_created: 2018-12-11T11:49:23Z date_published: 2017-05-18T00:00:00Z date_updated: 2023-09-22T10:01:17Z day: '18' ddc: - '576' department: - _id: CaGu - _id: NiBa - _id: JoBo doi: 10.7554/eLife.25192 ec_funded: 1 external_id: isi: - '000404024800001' file: - access_level: open_access checksum: 59cdd4400fb41280122d414fea971546 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:49Z date_updated: 2020-07-14T12:48:16Z file_id: '5306' file_name: IST-2017-841-v1+1_elife-25192-v2.pdf file_size: 2441529 relation: main_file - access_level: open_access checksum: b69024880558b858eb8c5d47a92b6377 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:50Z date_updated: 2020-07-14T12:48:16Z file_id: '5307' file_name: IST-2017-841-v1+2_elife-25192-figures-v2.pdf file_size: 3752660 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 6' isi: 1 language: - iso: eng month: '05' oa: 1 oa_version: Published Version project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: eLife publication_identifier: issn: - 2050084X publication_status: published publisher: eLife Sciences Publications publist_id: '6460' pubrep_id: '841' quality_controlled: '1' scopus_import: '1' status: public title: On the mechanistic nature of epistasis in a canonical cis-regulatory element tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 6 year: '2017' ... --- _id: '955' abstract: - lang: eng text: 'Gene expression is controlled by networks of regulatory proteins that interact specifically with external signals and DNA regulatory sequences. These interactions force the network components to co-evolve so as to continually maintain function. Yet, existing models of evolution mostly focus on isolated genetic elements. In contrast, we study the essential process by which regulatory networks grow: the duplication and subsequent specialization of network components. We synthesize a biophysical model of molecular interactions with the evolutionary framework to find the conditions and pathways by which new regulatory functions emerge. We show that specialization of new network components is usually slow, but can be drastically accelerated in the presence of regulatory crosstalk and mutations that promote promiscuous interactions between network components.' article_number: '216' article_processing_charge: Yes (in subscription journal) author: - first_name: Tamar full_name: Friedlander, Tamar id: 36A5845C-F248-11E8-B48F-1D18A9856A87 last_name: Friedlander - first_name: Roshan full_name: Prizak, Roshan id: 4456104E-F248-11E8-B48F-1D18A9856A87 last_name: Prizak - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 citation: ama: Friedlander T, Prizak R, Barton NH, Tkačik G. Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. 2017;8(1). doi:10.1038/s41467-017-00238-8 apa: Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8 chicago: Friedlander, Tamar, Roshan Prizak, Nicholas H Barton, and Gašper Tkačik. “Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.” Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/s41467-017-00238-8. ieee: T. Friedlander, R. Prizak, N. H. Barton, and G. Tkačik, “Evolution of new regulatory functions on biophysically realistic fitness landscapes,” Nature Communications, vol. 8, no. 1. Nature Publishing Group, 2017. ista: Friedlander T, Prizak R, Barton NH, Tkačik G. 2017. Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. 8(1), 216. mla: Friedlander, Tamar, et al. “Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.” Nature Communications, vol. 8, no. 1, 216, Nature Publishing Group, 2017, doi:10.1038/s41467-017-00238-8. short: T. Friedlander, R. Prizak, N.H. Barton, G. Tkačik, Nature Communications 8 (2017). date_created: 2018-12-11T11:49:23Z date_published: 2017-08-09T00:00:00Z date_updated: 2023-09-22T10:00:49Z day: '09' ddc: - '539' - '576' department: - _id: GaTk - _id: NiBa doi: 10.1038/s41467-017-00238-8 ec_funded: 1 external_id: isi: - '000407198800005' file: - access_level: open_access checksum: 29a1b5db458048d3bd5c67e0e2a56818 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:14Z date_updated: 2020-07-14T12:48:16Z file_id: '5064' file_name: IST-2017-864-v1+1_s41467-017-00238-8.pdf file_size: 998157 relation: main_file - access_level: open_access checksum: 7b78401e52a576cf3e6bbf8d0abadc17 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:15Z date_updated: 2020-07-14T12:48:16Z file_id: '5065' file_name: IST-2017-864-v1+2_41467_2017_238_MOESM1_ESM.pdf file_size: 9715993 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 8' isi: 1 issue: '1' language: - iso: eng month: '08' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 254E9036-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P28844-B27 name: Biophysics of information processing in gene regulation publication: Nature Communications publication_identifier: issn: - '20411723' publication_status: published publisher: Nature Publishing Group publist_id: '6459' pubrep_id: '864' quality_controlled: '1' related_material: record: - id: '6071' relation: dissertation_contains status: public scopus_import: '1' status: public title: Evolution of new regulatory functions on biophysically realistic fitness landscapes tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 8 year: '2017' ... --- _id: '953' abstract: - lang: eng text: 'The role of natural selection in the evolution of adaptive phenotypes has undergone constant probing by evolutionary biologists, employing both theoretical and empirical approaches. As Darwin noted, natural selection can act together with other processes, including random changes in the frequencies of phenotypic differences that are not under strong selection, and changes in the environment, which may reflect evolutionary changes in the organisms themselves. As understanding of genetics developed after 1900, the new genetic discoveries were incorporated into evolutionary biology. The resulting general principles were summarized by Julian Huxley in his 1942 book Evolution: the modern synthesis. Here, we examine how recent advances in genetics, developmental biology and molecular biology, including epigenetics, relate to today''s understanding of the evolution of adaptations. We illustrate how careful genetic studies have repeatedly shown that apparently puzzling results in a wide diversity of organisms involve processes that are consistent with neo-Darwinism. They do not support important roles in adaptation for processes such as directed mutation or the inheritance of acquired characters, and therefore no radical revision of our understanding of the mechanism of adaptive evolution is needed.' article_number: '20162864' article_processing_charge: No author: - first_name: Deborah full_name: Charlesworth, Deborah last_name: Charlesworth - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Brian full_name: Charlesworth, Brian last_name: Charlesworth citation: ama: Charlesworth D, Barton NH, Charlesworth B. The sources of adaptive evolution. Proceedings of the Royal Society of London Series B Biological Sciences. 2017;284(1855). doi:10.1098/rspb.2016.2864 apa: Charlesworth, D., Barton, N. H., & Charlesworth, B. (2017). The sources of adaptive evolution. Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The. https://doi.org/10.1098/rspb.2016.2864 chicago: Charlesworth, Deborah, Nicholas H Barton, and Brian Charlesworth. “The Sources of Adaptive Evolution.” Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The, 2017. https://doi.org/10.1098/rspb.2016.2864. ieee: D. Charlesworth, N. H. Barton, and B. Charlesworth, “The sources of adaptive evolution,” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 284, no. 1855. Royal Society, The, 2017. ista: Charlesworth D, Barton NH, Charlesworth B. 2017. The sources of adaptive evolution. Proceedings of the Royal Society of London Series B Biological Sciences. 284(1855), 20162864. mla: Charlesworth, Deborah, et al. “The Sources of Adaptive Evolution.” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 284, no. 1855, 20162864, Royal Society, The, 2017, doi:10.1098/rspb.2016.2864. short: D. Charlesworth, N.H. Barton, B. Charlesworth, Proceedings of the Royal Society of London Series B Biological Sciences 284 (2017). date_created: 2018-12-11T11:49:23Z date_published: 2017-05-31T00:00:00Z date_updated: 2023-09-22T10:01:48Z day: '31' department: - _id: NiBa doi: 10.1098/rspb.2016.2864 external_id: isi: - '000405148800021' pmid: - '28566483' intvolume: ' 284' isi: 1 issue: '1855' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454256/ month: '05' oa: 1 oa_version: Submitted Version pmid: 1 publication: Proceedings of the Royal Society of London Series B Biological Sciences publication_status: published publisher: Royal Society, The publist_id: '6462' quality_controlled: '1' scopus_import: '1' status: public title: The sources of adaptive evolution type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 284 year: '2017' ... --- _id: '952' abstract: - lang: eng text: A novel strategy for controlling the spread of arboviral diseases such as dengue, Zika and chikungunya is to transform mosquito populations with virus-suppressing Wolbachia. In general, Wolbachia transinfected into mosquitoes induce fitness costs through lower viability or fecundity. These maternally inherited bacteria also produce a frequency-dependent advantage for infected females by inducing cytoplasmic incompatibility (CI), which kills the embryos produced by uninfected females mated to infected males. These competing effects, a frequency-dependent advantage and frequency-independent costs, produce bistable Wolbachia frequency dynamics. Above a threshold frequency, denoted pˆ, CI drives fitness-decreasing Wolbachia transinfections through local populations; but below pˆ, infection frequencies tend to decline to zero. If pˆ is not too high, CI also drives spatial spread once infections become established over sufficiently large areas. We illustrate how simple models provide testable predictions concerning the spatial and temporal dynamics of Wolbachia introductions, focusing on rate of spatial spread, the shape of spreading waves, and the conditions for initiating spread from local introductions. First, we consider the robustness of diffusion-based predictions to incorporating two important features of wMel-Aedes aegypti biology that may be inconsistent with the diffusion approximations, namely fast local dynamics induced by complete CI (i.e., all embryos produced from incompatible crosses die) and long-tailed, non-Gaussian dispersal. With complete CI, our numerical analyses show that long-tailed dispersal changes wave-width predictions only slightly; but it can significantly reduce wave speed relative to the diffusion prediction; it also allows smaller local introductions to initiate spatial spread. Second, we use approximations for pˆ and dispersal distances to predict the outcome of 2013 releases of wMel-infected Aedes aegypti in Cairns, Australia, Third, we describe new data from Ae. aegypti populations near Cairns, Australia that demonstrate long-distance dispersal and provide an approximate lower bound on pˆ for wMel in northeastern Australia. Finally, we apply our analyses to produce operational guidelines for efficient transformation of vector populations over large areas. We demonstrate that even very slow spatial spread, on the order of 10-20 m/month (as predicted), can produce area-wide population transformation within a few years following initial releases covering about 20-30% of the target area. article_processing_charge: No author: - first_name: Michael full_name: Turelli, Michael last_name: Turelli - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Turelli M, Barton NH. Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti. Theoretical Population Biology. 2017;115:45-60. doi:10.1016/j.tpb.2017.03.003' apa: 'Turelli, M., & Barton, N. H. (2017). Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti. Theoretical Population Biology. Elsevier. https://doi.org/10.1016/j.tpb.2017.03.003' chicago: 'Turelli, Michael, and Nicholas H Barton. “Deploying Dengue-Suppressing Wolbachia: Robust Models Predict Slow but Effective Spatial Spread in Aedes Aegypti.” Theoretical Population Biology. Elsevier, 2017. https://doi.org/10.1016/j.tpb.2017.03.003.' ieee: 'M. Turelli and N. H. Barton, “Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti,” Theoretical Population Biology, vol. 115. Elsevier, pp. 45–60, 2017.' ista: 'Turelli M, Barton NH. 2017. Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti. Theoretical Population Biology. 115, 45–60.' mla: 'Turelli, Michael, and Nicholas H. Barton. “Deploying Dengue-Suppressing Wolbachia: Robust Models Predict Slow but Effective Spatial Spread in Aedes Aegypti.” Theoretical Population Biology, vol. 115, Elsevier, 2017, pp. 45–60, doi:10.1016/j.tpb.2017.03.003.' short: M. Turelli, N.H. Barton, Theoretical Population Biology 115 (2017) 45–60. date_created: 2018-12-11T11:49:22Z date_published: 2017-06-01T00:00:00Z date_updated: 2023-09-22T10:02:21Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1016/j.tpb.2017.03.003 external_id: pmid: - '28411063' file: - access_level: open_access checksum: 9aeff86fa7de69f7a15cf4fc60d57d01 content_type: application/pdf creator: dernst date_created: 2019-04-17T06:39:45Z date_updated: 2020-07-14T12:48:16Z file_id: '6327' file_name: 2017_TheoreticalPopulationBio_Turelli.pdf file_size: 2073856 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 115' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '06' oa: 1 oa_version: Submitted Version page: 45 - 60 pmid: 1 publication: Theoretical Population Biology publication_identifier: issn: - '00405809' publication_status: published publisher: Elsevier publist_id: '6463' pubrep_id: '972' quality_controlled: '1' scopus_import: '1' status: public title: 'Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti' tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 115 year: '2017' ... --- _id: '951' abstract: - lang: eng text: Dengue-suppressing Wolbachia strains are promising tools for arbovirus control, particularly as they have the potential to self-spread following local introductions. To test this, we followed the frequency of the transinfected Wolbachia strain wMel through Ae. aegypti in Cairns, Australia, following releases at 3 nonisolated locations within the city in early 2013. Spatial spread was analysed graphically using interpolation and by fitting a statistical model describing the position and width of the wave. For the larger 2 of the 3 releases (covering 0.97 km2 and 0.52 km2), we observed slow but steady spatial spread, at about 100–200 m per year, roughly consistent with theoretical predictions. In contrast, the smallest release (0.11 km2) produced erratic temporal and spatial dynamics, with little evidence of spread after 2 years. This is consistent with the prediction concerning fitness-decreasing Wolbachia transinfections that a minimum release area is needed to achieve stable local establishment and spread in continuous habitats. Our graphical and likelihood analyses produced broadly consistent estimates of wave speed and wave width. Spread at all sites was spatially heterogeneous, suggesting that environmental heterogeneity will affect large-scale Wolbachia transformations of urban mosquito populations. The persistence and spread of Wolbachia in release areas meeting minimum area requirements indicates the promise of successful large-scale population transfo article_number: e2001894 article_processing_charge: No author: - first_name: Tom full_name: Schmidt, Tom last_name: Schmidt - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gordana full_name: Rasic, Gordana last_name: Rasic - first_name: Andrew full_name: Turley, Andrew last_name: Turley - first_name: Brian full_name: Montgomery, Brian last_name: Montgomery - first_name: Inaki full_name: Iturbe Ormaetxe, Inaki last_name: Iturbe Ormaetxe - first_name: Peter full_name: Cook, Peter last_name: Cook - first_name: Peter full_name: Ryan, Peter last_name: Ryan - first_name: Scott full_name: Ritchie, Scott last_name: Ritchie - first_name: Ary full_name: Hoffmann, Ary last_name: Hoffmann - first_name: Scott full_name: O’Neill, Scott last_name: O’Neill - first_name: Michael full_name: Turelli, Michael last_name: Turelli citation: ama: Schmidt T, Barton NH, Rasic G, et al. Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti. PLoS Biology. 2017;15(5). doi:10.1371/journal.pbio.2001894 apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I., … Turelli, M. (2017). Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2001894 chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery, Inaki Iturbe Ormaetxe, Peter Cook, et al. “Local Introduction and Heterogeneous Spatial Spread of Dengue-Suppressing Wolbachia through an Urban Population of Aedes Aegypti.” PLoS Biology. Public Library of Science, 2017. https://doi.org/10.1371/journal.pbio.2001894. ieee: T. Schmidt et al., “Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti,” PLoS Biology, vol. 15, no. 5. Public Library of Science, 2017. ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I, Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti. PLoS Biology. 15(5), e2001894. mla: Schmidt, Tom, et al. “Local Introduction and Heterogeneous Spatial Spread of Dengue-Suppressing Wolbachia through an Urban Population of Aedes Aegypti.” PLoS Biology, vol. 15, no. 5, e2001894, Public Library of Science, 2017, doi:10.1371/journal.pbio.2001894. short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe, P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, PLoS Biology 15 (2017). date_created: 2018-12-11T11:49:22Z date_published: 2017-05-30T00:00:00Z date_updated: 2023-09-22T10:02:52Z day: '30' ddc: - '576' department: - _id: NiBa doi: 10.1371/journal.pbio.2001894 external_id: isi: - '000402520000012' file: - access_level: open_access checksum: 107d290bd1159ec77b734eb2824b01c8 content_type: application/pdf creator: system date_created: 2018-12-12T10:08:30Z date_updated: 2020-07-14T12:48:16Z file_id: '4691' file_name: IST-2017-843-v1+1_journal.pbio.2001894.pdf file_size: 5541206 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 15' isi: 1 issue: '5' language: - iso: eng month: '05' oa: 1 oa_version: Published Version publication: PLoS Biology publication_identifier: issn: - '15449173' publication_status: published publisher: Public Library of Science publist_id: '6464' pubrep_id: '843' quality_controlled: '1' related_material: record: - id: '9856' relation: research_data status: public - id: '9857' relation: research_data status: public - id: '9858' relation: research_data status: public scopus_import: '1' status: public title: Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 15 year: '2017' ... --- _id: '9858' article_processing_charge: No author: - first_name: Tom full_name: Schmidt, Tom last_name: Schmidt - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gordana full_name: Rasic, Gordana last_name: Rasic - first_name: Andrew full_name: Turley, Andrew last_name: Turley - first_name: Brian full_name: Montgomery, Brian last_name: Montgomery - first_name: Inaki full_name: Iturbe Ormaetxe, Inaki last_name: Iturbe Ormaetxe - first_name: Peter full_name: Cook, Peter last_name: Cook - first_name: Peter full_name: Ryan, Peter last_name: Ryan - first_name: Scott full_name: Ritchie, Scott last_name: Ritchie - first_name: Ary full_name: Hoffmann, Ary last_name: Hoffmann - first_name: Scott full_name: O’Neill, Scott last_name: O’Neill - first_name: Michael full_name: Turelli, Michael last_name: Turelli citation: ama: Schmidt T, Barton NH, Rasic G, et al. Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics. 2017. doi:10.1371/journal.pbio.2001894.s016 apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I., … Turelli, M. (2017). Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics. Public Library of Science. https://doi.org/10.1371/journal.pbio.2001894.s016 chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery, Inaki Iturbe Ormaetxe, Peter Cook, et al. “Excel File with Data on Mosquito Densities, Wolbachia Infection Status and Housing Characteristics.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pbio.2001894.s016. ieee: T. Schmidt et al., “Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics.” Public Library of Science, 2017. ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I, Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics, Public Library of Science, 10.1371/journal.pbio.2001894.s016. mla: Schmidt, Tom, et al. Excel File with Data on Mosquito Densities, Wolbachia Infection Status and Housing Characteristics. Public Library of Science, 2017, doi:10.1371/journal.pbio.2001894.s016. short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe, P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, (2017). date_created: 2021-08-10T07:47:07Z date_published: 2017-05-30T00:00:00Z date_updated: 2023-09-22T10:02:51Z day: '30' department: - _id: NiBa doi: 10.1371/journal.pbio.2001894.s016 month: '05' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '951' relation: used_in_publication status: public status: public title: Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9857' article_processing_charge: No author: - first_name: Tom full_name: Schmidt, Tom last_name: Schmidt - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gordana full_name: Rasic, Gordana last_name: Rasic - first_name: Andrew full_name: Turley, Andrew last_name: Turley - first_name: Brian full_name: Montgomery, Brian last_name: Montgomery - first_name: Inaki full_name: Iturbe Ormaetxe, Inaki last_name: Iturbe Ormaetxe - first_name: Peter full_name: Cook, Peter last_name: Cook - first_name: Peter full_name: Ryan, Peter last_name: Ryan - first_name: Scott full_name: Ritchie, Scott last_name: Ritchie - first_name: Ary full_name: Hoffmann, Ary last_name: Hoffmann - first_name: Scott full_name: O’Neill, Scott last_name: O’Neill - first_name: Michael full_name: Turelli, Michael last_name: Turelli citation: ama: Schmidt T, Barton NH, Rasic G, et al. Supporting information concerning observed wMel frequencies and analyses of habitat variables. 2017. doi:10.1371/journal.pbio.2001894.s015 apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I., … Turelli, M. (2017). Supporting information concerning observed wMel frequencies and analyses of habitat variables. Public Library of Science . https://doi.org/10.1371/journal.pbio.2001894.s015 chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery, Inaki Iturbe Ormaetxe, Peter Cook, et al. “Supporting Information Concerning Observed WMel Frequencies and Analyses of Habitat Variables.” Public Library of Science , 2017. https://doi.org/10.1371/journal.pbio.2001894.s015. ieee: T. Schmidt et al., “Supporting information concerning observed wMel frequencies and analyses of habitat variables.” Public Library of Science , 2017. ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I, Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Supporting information concerning observed wMel frequencies and analyses of habitat variables, Public Library of Science , 10.1371/journal.pbio.2001894.s015. mla: Schmidt, Tom, et al. Supporting Information Concerning Observed WMel Frequencies and Analyses of Habitat Variables. Public Library of Science , 2017, doi:10.1371/journal.pbio.2001894.s015. short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe, P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, (2017). date_created: 2021-08-10T07:41:52Z date_published: 2017-05-30T00:00:00Z date_updated: 2023-09-22T10:02:51Z day: '30' department: - _id: NiBa doi: 10.1371/journal.pbio.2001894.s015 month: '05' oa_version: Published Version publisher: 'Public Library of Science ' related_material: record: - id: '951' relation: used_in_publication status: public status: public title: Supporting information concerning observed wMel frequencies and analyses of habitat variables type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9856' article_processing_charge: No author: - first_name: Tom full_name: Schmidt, Tom last_name: Schmidt - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gordana full_name: Rasic, Gordana last_name: Rasic - first_name: Andrew full_name: Turley, Andrew last_name: Turley - first_name: Brian full_name: Montgomery, Brian last_name: Montgomery - first_name: Inaki full_name: Iturbe Ormaetxe, Inaki last_name: Iturbe Ormaetxe - first_name: Peter full_name: Cook, Peter last_name: Cook - first_name: Peter full_name: Ryan, Peter last_name: Ryan - first_name: Scott full_name: Ritchie, Scott last_name: Ritchie - first_name: Ary full_name: Hoffmann, Ary last_name: Hoffmann - first_name: Scott full_name: O’Neill, Scott last_name: O’Neill - first_name: Michael full_name: Turelli, Michael last_name: Turelli citation: ama: Schmidt T, Barton NH, Rasic G, et al. Supporting Information concerning additional likelihood analyses and results. 2017. doi:10.1371/journal.pbio.2001894.s014 apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I., … Turelli, M. (2017). Supporting Information concerning additional likelihood analyses and results. Public Library of Science. https://doi.org/10.1371/journal.pbio.2001894.s014 chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery, Inaki Iturbe Ormaetxe, Peter Cook, et al. “Supporting Information Concerning Additional Likelihood Analyses and Results.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pbio.2001894.s014. ieee: T. Schmidt et al., “Supporting Information concerning additional likelihood analyses and results.” Public Library of Science, 2017. ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I, Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Supporting Information concerning additional likelihood analyses and results, Public Library of Science, 10.1371/journal.pbio.2001894.s014. mla: Schmidt, Tom, et al. Supporting Information Concerning Additional Likelihood Analyses and Results. Public Library of Science, 2017, doi:10.1371/journal.pbio.2001894.s014. short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe, P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, (2017). date_created: 2021-08-10T07:36:04Z date_published: 2017-05-30T00:00:00Z date_updated: 2023-09-22T10:02:51Z day: '30' department: - _id: NiBa doi: 10.1371/journal.pbio.2001894.s014 month: '05' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '951' relation: used_in_publication status: public status: public title: Supporting Information concerning additional likelihood analyses and results type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '910' abstract: - lang: eng text: "Frequency-independent selection is generally considered as a force that acts to reduce the genetic variation in evolving populations, yet rigorous arguments for this idea are scarce. When selection fluctuates in time, it is unclear whether frequency-independent selection may maintain genetic polymorphism without invoking additional mechanisms. We show that constant frequency-independent selection with arbitrary epistasis on a well-mixed haploid population eliminates genetic variation if we assume linkage equilibrium between alleles. To this end, we introduce the notion of frequency-independent selection at the level of alleles, which is sufficient to prove our claim and contains the notion of frequency-independent selection on haploids. When selection and recombination are weak but of the same order, there may be strong linkage disequilibrium; numerical calculations show that stable equilibria are highly unlikely. Using the example of a diallelic two-locus model, we then demonstrate that frequency-independent selection that fluctuates in time can maintain stable polymorphism if linkage disequilibrium changes its sign periodically. We put our findings in the context of results from the existing literature and point out those scenarios in which the possible role of frequency-independent selection in maintaining genetic variation remains unclear.\r\n" article_processing_charge: No author: - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak orcid: 0000-0002-2519-824X - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Novak S, Barton NH. When does frequency-independent selection maintain genetic variation? Genetics. 2017;207(2):653-668. doi:10.1534/genetics.117.300129 apa: Novak, S., & Barton, N. H. (2017). When does frequency-independent selection maintain genetic variation? Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.117.300129 chicago: Novak, Sebastian, and Nicholas H Barton. “When Does Frequency-Independent Selection Maintain Genetic Variation?” Genetics. Genetics Society of America, 2017. https://doi.org/10.1534/genetics.117.300129. ieee: S. Novak and N. H. Barton, “When does frequency-independent selection maintain genetic variation?,” Genetics, vol. 207, no. 2. Genetics Society of America, pp. 653–668, 2017. ista: Novak S, Barton NH. 2017. When does frequency-independent selection maintain genetic variation? Genetics. 207(2), 653–668. mla: Novak, Sebastian, and Nicholas H. Barton. “When Does Frequency-Independent Selection Maintain Genetic Variation?” Genetics, vol. 207, no. 2, Genetics Society of America, 2017, pp. 653–68, doi:10.1534/genetics.117.300129. short: S. Novak, N.H. Barton, Genetics 207 (2017) 653–668. date_created: 2018-12-11T11:49:09Z date_published: 2017-10-01T00:00:00Z date_updated: 2023-09-26T15:49:15Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1534/genetics.117.300129 ec_funded: 1 external_id: isi: - '000412232600019' file: - access_level: open_access checksum: f7c32dabf52e6d9e709d9203761e39fd content_type: application/pdf creator: system date_created: 2018-12-12T10:17:12Z date_updated: 2020-07-14T12:48:15Z file_id: '5264' file_name: IST-2018-974-v1+1_manuscript.pdf file_size: 494268 relation: main_file file_date_updated: 2020-07-14T12:48:15Z has_accepted_license: '1' intvolume: ' 207' isi: 1 issue: '2' language: - iso: eng month: '10' oa: 1 oa_version: Submitted Version page: 653 - 668 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '6533' pubrep_id: '974' quality_controlled: '1' scopus_import: '1' status: public title: When does frequency-independent selection maintain genetic variation? type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 207 year: '2017' ... --- _id: '614' abstract: - lang: eng text: 'Moths and butterflies (Lepidoptera) usually have a pair of differentiated WZ sex chromosomes. However, in most lineages outside of the division Ditrysia, as well as in the sister order Trichoptera, females lack a W chromosome. The W is therefore thought to have been acquired secondarily. Here we compare the genomes of three Lepidoptera species (one Dytrisia and two non-Dytrisia) to test three models accounting for the origin of the W: (1) a Z-autosome fusion; (2) a sex chromosome turnover; and (3) a non-canonical mechanism (e.g., through the recruitment of a B chromosome). We show that the gene content of the Z is highly conserved across Lepidoptera (rejecting a sex chromosome turnover) and that very few genes moved onto the Z in the common ancestor of the Ditrysia (arguing against a Z-autosome fusion). Our comparative genomics analysis therefore supports the secondary acquisition of the Lepidoptera W by a non-canonical mechanism, and it confirms the extreme stability of well-differentiated sex chromosomes.' article_number: '1486' article_processing_charge: No article_type: original author: - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Marion A full_name: Picard, Marion A id: 2C921A7A-F248-11E8-B48F-1D18A9856A87 last_name: Picard orcid: 0000-0002-8101-2518 - first_name: Beatriz full_name: Vicoso, Beatriz id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87 last_name: Vicoso orcid: 0000-0002-4579-8306 citation: ama: Fraisse C, Picard MAL, Vicoso B. The deep conservation of the Lepidoptera Z chromosome suggests a non canonical origin of the W. Nature Communications. 2017;8(1). doi:10.1038/s41467-017-01663-5 apa: Fraisse, C., Picard, M. A. L., & Vicoso, B. (2017). The deep conservation of the Lepidoptera Z chromosome suggests a non canonical origin of the W. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-01663-5 chicago: Fraisse, Christelle, Marion A L Picard, and Beatriz Vicoso. “The Deep Conservation of the Lepidoptera Z Chromosome Suggests a Non Canonical Origin of the W.” Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/s41467-017-01663-5. ieee: C. Fraisse, M. A. L. Picard, and B. Vicoso, “The deep conservation of the Lepidoptera Z chromosome suggests a non canonical origin of the W,” Nature Communications, vol. 8, no. 1. Nature Publishing Group, 2017. ista: Fraisse C, Picard MAL, Vicoso B. 2017. The deep conservation of the Lepidoptera Z chromosome suggests a non canonical origin of the W. Nature Communications. 8(1), 1486. mla: Fraisse, Christelle, et al. “The Deep Conservation of the Lepidoptera Z Chromosome Suggests a Non Canonical Origin of the W.” Nature Communications, vol. 8, no. 1, 1486, Nature Publishing Group, 2017, doi:10.1038/s41467-017-01663-5. short: C. Fraisse, M.A.L. Picard, B. Vicoso, Nature Communications 8 (2017). date_created: 2018-12-11T11:47:30Z date_published: 2017-12-01T00:00:00Z date_updated: 2024-02-21T13:47:47Z day: '01' ddc: - '570' - '576' department: - _id: BeVi - _id: NiBa doi: 10.1038/s41467-017-01663-5 external_id: pmid: - '29133797' file: - access_level: open_access checksum: 4da2651303c8afc2f7fc419be42a2433 content_type: application/pdf creator: dernst date_created: 2020-03-03T15:55:50Z date_updated: 2020-07-14T12:47:20Z file_id: '7562' file_name: 2017_NatureComm_Fraisse.pdf file_size: 1201520 relation: main_file file_date_updated: 2020-07-14T12:47:20Z has_accepted_license: '1' intvolume: ' 8' issue: '1' language: - iso: eng month: '12' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 250ED89C-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P28842-B22 name: Sex chromosome evolution under male- and female- heterogamety publication: Nature Communications publication_identifier: issn: - '20411723' publication_status: published publisher: Nature Publishing Group publist_id: '7190' pubrep_id: '910' quality_controlled: '1' related_material: record: - id: '7163' relation: popular_science status: public scopus_import: 1 status: public title: The deep conservation of the Lepidoptera Z chromosome suggests a non canonical origin of the W tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 8 year: '2017' ... --- _id: '696' abstract: - lang: eng text: Mutator strains are expected to evolve when the availability and effect of beneficial mutations are high enough to counteract the disadvantage from deleterious mutations that will inevitably accumulate. As the population becomes more adapted to its environment, both availability and effect of beneficial mutations necessarily decrease and mutation rates are predicted to decrease. It has been shown that certain molecular mechanisms can lead to increased mutation rates when the organism finds itself in a stressful environment. While this may be a correlated response to other functions, it could also be an adaptive mechanism, raising mutation rates only when it is most advantageous. Here, we use a mathematical model to investigate the plausibility of the adaptive hypothesis. We show that such a mechanism can be mantained if the population is subjected to diverse stresses. By simulating various antibiotic treatment schemes, we find that combination treatments can reduce the effectiveness of second-order selection on stress-induced mutagenesis. We discuss the implications of our results to strategies of antibiotic therapy. article_number: e1005609 article_type: original author: - first_name: Marta full_name: Lukacisinova, Marta id: 4342E402-F248-11E8-B48F-1D18A9856A87 last_name: Lukacisinova orcid: 0000-0002-2519-8004 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak orcid: 0000-0002-2519-824X - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: 'Lukacisinova M, Novak S, Paixao T. Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes. PLoS Computational Biology. 2017;13(7). doi:10.1371/journal.pcbi.1005609' apa: 'Lukacisinova, M., Novak, S., & Paixao, T. (2017). Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609' chicago: 'Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Stress Induced Mutagenesis: Stress Diversity Facilitates the Persistence of Mutator Genes.” PLoS Computational Biology. Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.' ieee: 'M. Lukacisinova, S. Novak, and T. Paixao, “Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes,” PLoS Computational Biology, vol. 13, no. 7. Public Library of Science, 2017.' ista: 'Lukacisinova M, Novak S, Paixao T. 2017. Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes. PLoS Computational Biology. 13(7), e1005609.' mla: 'Lukacisinova, Marta, et al. “Stress Induced Mutagenesis: Stress Diversity Facilitates the Persistence of Mutator Genes.” PLoS Computational Biology, vol. 13, no. 7, e1005609, Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.' short: M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017). date_created: 2018-12-11T11:47:58Z date_published: 2017-07-18T00:00:00Z date_updated: 2024-03-27T23:30:28Z day: '18' ddc: - '576' department: - _id: ToBo - _id: NiBa - _id: CaGu doi: 10.1371/journal.pcbi.1005609 ec_funded: 1 file: - access_level: open_access checksum: 9143c290fa6458ed2563bff4b295554a content_type: application/pdf creator: system date_created: 2018-12-12T10:15:01Z date_updated: 2020-07-14T12:47:46Z file_id: '5117' file_name: IST-2017-894-v1+1_journal.pcbi.1005609.pdf file_size: 3775716 relation: main_file file_date_updated: 2020-07-14T12:47:46Z has_accepted_license: '1' intvolume: ' 13' issue: '7' language: - iso: eng month: '07' oa: 1 oa_version: Published Version project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: PLoS Computational Biology publication_identifier: issn: - 1553734X publication_status: published publisher: Public Library of Science publist_id: '7004' pubrep_id: '894' quality_controlled: '1' related_material: record: - id: '9849' relation: research_data status: public - id: '9850' relation: research_data status: public - id: '9851' relation: research_data status: public - id: '9852' relation: research_data status: public - id: '6263' relation: dissertation_contains status: public scopus_import: 1 status: public title: 'Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 13 year: '2017' ... --- _id: '1172' abstract: - lang: eng text: A central issue in cell biology is the physico-chemical basis of organelle biogenesis in intracellular trafficking pathways, its most impressive manifestation being the biogenesis of Golgi cisternae. At a basic level, such morphologically and chemically distinct compartments should arise from an interplay between the molecular transport and chemical maturation. Here, we formulate analytically tractable, minimalist models, that incorporate this interplay between transport and chemical progression in physical space, and explore the conditions for de novo biogenesis of distinct cisternae. We propose new quantitative measures that can discriminate between the various models of transport in a qualitative manner-this includes measures of the dynamics in steady state and the dynamical response to perturbations of the kind amenable to live-cell imaging. acknowledgement: H.S. thanks NCBS for hospitality. We thank Vivek Malhotra and Mukund Thattai for critical discussions and suggestions. article_number: '38840' author: - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Mustansir full_name: Barma, Mustansir last_name: Barma - first_name: Madan full_name: Rao, Madan last_name: Rao citation: ama: Sachdeva H, Barma M, Rao M. Nonequilibrium description of de novo biogenesis and transport through Golgi-like cisternae. Scientific Reports. 2016;6. doi:10.1038/srep38840 apa: Sachdeva, H., Barma, M., & Rao, M. (2016). Nonequilibrium description of de novo biogenesis and transport through Golgi-like cisternae. Scientific Reports. Nature Publishing Group. https://doi.org/10.1038/srep38840 chicago: Sachdeva, Himani, Mustansir Barma, and Madan Rao. “Nonequilibrium Description of de Novo Biogenesis and Transport through Golgi-like Cisternae.” Scientific Reports. Nature Publishing Group, 2016. https://doi.org/10.1038/srep38840. ieee: H. Sachdeva, M. Barma, and M. Rao, “Nonequilibrium description of de novo biogenesis and transport through Golgi-like cisternae,” Scientific Reports, vol. 6. Nature Publishing Group, 2016. ista: Sachdeva H, Barma M, Rao M. 2016. Nonequilibrium description of de novo biogenesis and transport through Golgi-like cisternae. Scientific Reports. 6, 38840. mla: Sachdeva, Himani, et al. “Nonequilibrium Description of de Novo Biogenesis and Transport through Golgi-like Cisternae.” Scientific Reports, vol. 6, 38840, Nature Publishing Group, 2016, doi:10.1038/srep38840. short: H. Sachdeva, M. Barma, M. Rao, Scientific Reports 6 (2016). date_created: 2018-12-11T11:50:32Z date_published: 2016-12-19T00:00:00Z date_updated: 2021-01-12T06:48:50Z day: '19' ddc: - '576' department: - _id: NiBa doi: 10.1038/srep38840 file: - access_level: open_access checksum: cb378732da885ea4959ec5b845fb6e52 content_type: application/pdf creator: system date_created: 2018-12-12T10:12:56Z date_updated: 2020-07-14T12:44:37Z file_id: '4977' file_name: IST-2017-737-v1+1_srep38840.pdf file_size: 760967 relation: main_file file_date_updated: 2020-07-14T12:44:37Z has_accepted_license: '1' intvolume: ' 6' language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: Scientific Reports publication_status: published publisher: Nature Publishing Group publist_id: '6183' pubrep_id: '737' quality_controlled: '1' scopus_import: 1 status: public title: Nonequilibrium description of de novo biogenesis and transport through Golgi-like cisternae tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 6 year: '2016' ... --- _id: '1195' abstract: - lang: eng text: 'The genetic analysis of experimentally evolving populations typically relies on short reads from pooled individuals (Pool-Seq). While this method provides reliable allele frequency estimates, the underlying haplotype structure remains poorly characterized. With small population sizes and adaptive variants that start from low frequencies, the interpretation of selection signatures in most Evolve and Resequencing studies remains challenging. To facilitate the characterization of selection targets, we propose a new approach that reconstructs selected haplotypes from replicated time series, using Pool-Seq data. We identify selected haplotypes through the correlated frequencies of alleles carried by them. Computer simulations indicate that selected haplotype-blocks of several Mb can be reconstructed with high confidence and low error rates, even when allele frequencies change only by 20% across three replicates. Applying this method to real data from D. melanogaster populations adapting to a hot environment, we identify a selected haplotype-block of 6.93 Mb. We confirm the presence of this haplotype-block in evolved populations by experimental haplotyping, demonstrating the power and accuracy of our haplotype reconstruction from Pool-Seq data. We propose that the combination of allele frequency estimates with haplotype information will provide the key to understanding the dynamics of adaptive alleles. ' acknowledgement: "The authors thank all members of the Institute of Population\r\nGenetics for discussion and support on the project and par-\r\nticularly N. Barghi for helpful comments on earlier versions of\r\nthe manuscript. This work was supported \ by the European\r\nResearch Council (ERC) grants “ArchAdapt” and “250152”." author: - first_name: Susan full_name: Franssen, Susan last_name: Franssen - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Christian full_name: Schlötterer, Christian last_name: Schlötterer citation: ama: Franssen S, Barton NH, Schlötterer C. Reconstruction of haplotype-blocks selected during experimental evolution. Molecular Biology and Evolution. 2016;34(1):174-184. doi:10.1093/molbev/msw210 apa: Franssen, S., Barton, N. H., & Schlötterer, C. (2016). Reconstruction of haplotype-blocks selected during experimental evolution. Molecular Biology and Evolution. Oxford University Press. https://doi.org/10.1093/molbev/msw210 chicago: Franssen, Susan, Nicholas H Barton, and Christian Schlötterer. “Reconstruction of Haplotype-Blocks Selected during Experimental Evolution.” Molecular Biology and Evolution. Oxford University Press, 2016. https://doi.org/10.1093/molbev/msw210. ieee: S. Franssen, N. H. Barton, and C. Schlötterer, “Reconstruction of haplotype-blocks selected during experimental evolution.,” Molecular Biology and Evolution, vol. 34, no. 1. Oxford University Press, pp. 174–184, 2016. ista: Franssen S, Barton NH, Schlötterer C. 2016. Reconstruction of haplotype-blocks selected during experimental evolution. Molecular Biology and Evolution. 34(1), 174–184. mla: Franssen, Susan, et al. “Reconstruction of Haplotype-Blocks Selected during Experimental Evolution.” Molecular Biology and Evolution, vol. 34, no. 1, Oxford University Press, 2016, pp. 174–84, doi:10.1093/molbev/msw210. short: S. Franssen, N.H. Barton, C. Schlötterer, Molecular Biology and Evolution 34 (2016) 174–184. date_created: 2018-12-11T11:50:39Z date_published: 2016-10-03T00:00:00Z date_updated: 2021-01-12T06:49:00Z day: '03' ddc: - '576' department: - _id: NiBa doi: 10.1093/molbev/msw210 ec_funded: 1 file: - access_level: open_access checksum: 1e78d3aaffcb40dc8b02b7b4666019e0 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:35Z date_updated: 2020-07-14T12:44:38Z file_id: '5223' file_name: IST-2017-770-v1+1_FranssenEtAl_nofigs-1.pdf file_size: 295274 relation: main_file - access_level: open_access checksum: e13171843283774404c936c581b4543e content_type: application/pdf creator: system date_created: 2018-12-12T10:16:36Z date_updated: 2020-07-14T12:44:38Z file_id: '5224' file_name: IST-2017-770-v1+2_Fig1.pdf file_size: 10902625 relation: main_file - access_level: open_access checksum: 63bc6e6e61f347594d8c00c37f874a0b content_type: application/pdf creator: system date_created: 2018-12-12T10:16:37Z date_updated: 2020-07-14T12:44:38Z file_id: '5225' file_name: IST-2017-770-v1+3_Fig2.pdf file_size: 21437 relation: main_file - access_level: open_access checksum: da87cc7c78808837f22a3dae1c8397f9 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:38Z date_updated: 2020-07-14T12:44:38Z file_id: '5226' file_name: IST-2017-770-v1+4_Fig3.pdf file_size: 1172194 relation: main_file - access_level: open_access checksum: e47b2a0c32142f423b3100150c0294f8 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:38Z date_updated: 2020-07-14T12:44:38Z file_id: '5227' file_name: IST-2017-770-v1+5_Fig4.pdf file_size: 50045 relation: main_file - access_level: open_access checksum: a5a7d6b32e7e17d35d337d7ec2a9f6c9 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:39Z date_updated: 2020-07-14T12:44:38Z file_id: '5228' file_name: IST-2017-770-v1+6_Fig5.pdf file_size: 50705 relation: main_file file_date_updated: 2020-07-14T12:44:38Z has_accepted_license: '1' intvolume: ' 34' issue: '1' language: - iso: eng month: '10' oa: 1 oa_version: Submitted Version page: 174 - 184 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Molecular Biology and Evolution publication_status: published publisher: Oxford University Press publist_id: '6155' pubrep_id: '770' quality_controlled: '1' scopus_import: 1 status: public title: Reconstruction of haplotype-blocks selected during experimental evolution. type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 34 year: '2016' ... --- _id: '1224' abstract: - lang: eng text: Sexual dimorphism in resource allocation is expected to change during the life cycle of dioecious plants because of temporal differences between the sexes in reproductive investment. Given the potential for sex-specific differences in reproductive costs, resource availability may contribute to variation in reproductive allocation in females and males. Here, we used Rumex hastatulus, a dioecious, wind-pollinated annual plant, to investigate whether sexual dimorphism varies with life-history stage and nutrient availability, and determine whether allocation patterns differ depending on reproductive commitment. To examine if the costs of reproduction varied between the sexes, reproduction was either allowed or prevented through bud removal, and biomass allocation was measured at maturity. In a second experiment to assess variation in sexual dimorphism across the life cycle, and whether this varied with resource availability, plants were grown in high and low nutrients and allocation to roots, aboveground vegetative growth and reproduction were measured at three developmental stages. Males prevented from reproducing compensated with increased above- and belowground allocation to a much larger degree than females, suggesting that male reproductive costs reduce vegetative growth. The proportional allocation to roots, reproductive structures and aboveground vegetative growth varied between the sexes and among life-cycle stages, but not with nutrient treatment. Females allocated proportionally more resources to roots than males at peak flowering, but this pattern was reversed at reproductive maturity under low-nutrient conditions. Our study illustrates the importance of temporal dynamics in sex-specific resource allocation and provides support for high male reproductive costs in wind-pollinated plants. author: - first_name: Zachary full_name: Teitel, Zachary last_name: Teitel - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Spencer full_name: Barrett, Spencer last_name: Barrett citation: ama: Teitel Z, Pickup M, Field D, Barrett S. The dynamics of resource allocation and costs of reproduction in a sexually dimorphic, wind-pollinated dioecious plant. Plant Biology. 2016;18(1):98-103. doi:10.1111/plb.12336 apa: Teitel, Z., Pickup, M., Field, D., & Barrett, S. (2016). The dynamics of resource allocation and costs of reproduction in a sexually dimorphic, wind-pollinated dioecious plant. Plant Biology. Wiley-Blackwell. https://doi.org/10.1111/plb.12336 chicago: Teitel, Zachary, Melinda Pickup, David Field, and Spencer Barrett. “The Dynamics of Resource Allocation and Costs of Reproduction in a Sexually Dimorphic, Wind-Pollinated Dioecious Plant.” Plant Biology. Wiley-Blackwell, 2016. https://doi.org/10.1111/plb.12336. ieee: Z. Teitel, M. Pickup, D. Field, and S. Barrett, “The dynamics of resource allocation and costs of reproduction in a sexually dimorphic, wind-pollinated dioecious plant,” Plant Biology, vol. 18, no. 1. Wiley-Blackwell, pp. 98–103, 2016. ista: Teitel Z, Pickup M, Field D, Barrett S. 2016. The dynamics of resource allocation and costs of reproduction in a sexually dimorphic, wind-pollinated dioecious plant. Plant Biology. 18(1), 98–103. mla: Teitel, Zachary, et al. “The Dynamics of Resource Allocation and Costs of Reproduction in a Sexually Dimorphic, Wind-Pollinated Dioecious Plant.” Plant Biology, vol. 18, no. 1, Wiley-Blackwell, 2016, pp. 98–103, doi:10.1111/plb.12336. short: Z. Teitel, M. Pickup, D. Field, S. Barrett, Plant Biology 18 (2016) 98–103. date_created: 2018-12-11T11:50:48Z date_published: 2016-01-01T00:00:00Z date_updated: 2021-01-12T06:49:12Z day: '01' department: - _id: NiBa doi: 10.1111/plb.12336 intvolume: ' 18' issue: '1' language: - iso: eng month: '01' oa_version: None page: 98 - 103 publication: Plant Biology publication_status: published publisher: Wiley-Blackwell publist_id: '6110' quality_controlled: '1' scopus_import: 1 status: public title: The dynamics of resource allocation and costs of reproduction in a sexually dimorphic, wind-pollinated dioecious plant type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 18 year: '2016' ... --- _id: '1241' abstract: - lang: eng text: 'How likely is it that a population escapes extinction through adaptive evolution? The answer to this question is of great relevance in conservation biology, where we aim at species’ rescue and the maintenance of biodiversity, and in agriculture and medicine, where we seek to hamper the emergence of pesticide or drug resistance. By reshuffling the genome, recombination has two antagonistic effects on the probability of evolutionary rescue: It generates and it breaks up favorable gene combinations. Which of the two effects prevails depends on the fitness effects of mutations and on the impact of stochasticity on the allele frequencies. In this article, we analyze a mathematical model for rescue after a sudden environmental change when adaptation is contingent on mutations at two loci. The analysis reveals a complex nonlinear dependence of population survival on recombination. We moreover find that, counterintuitively, a fast eradication of the wild type can promote rescue in the presence of recombination. The model also shows that two-step rescue is not unlikely to happen and can even be more likely than single-step rescue (where adaptation relies on a single mutation), depending on the circumstances.' acknowledgement: This work was made possible by a “For Women in Science” fellowship (L’Oréal Österreich in cooperation with the Austrian Commission for the United Nations Educational, Scientific, and Cultural Organization and the Austrian Academy of Sciences with financial support from the Federal Ministry for Science and Research Austria) and European Research Council grant 250152 (to Nick Barton). author: - first_name: Hildegard full_name: Uecker, Hildegard id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87 last_name: Uecker orcid: 0000-0001-9435-2813 - first_name: Joachim full_name: Hermisson, Joachim last_name: Hermisson citation: ama: Uecker H, Hermisson J. The role of recombination in evolutionary rescue. Genetics. 2016;202(2):721-732. doi:10.1534/genetics.115.180299 apa: Uecker, H., & Hermisson, J. (2016). The role of recombination in evolutionary rescue. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.180299 chicago: Uecker, Hildegard, and Joachim Hermisson. “The Role of Recombination in Evolutionary Rescue.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.180299. ieee: H. Uecker and J. Hermisson, “The role of recombination in evolutionary rescue,” Genetics, vol. 202, no. 2. Genetics Society of America, pp. 721–732, 2016. ista: Uecker H, Hermisson J. 2016. The role of recombination in evolutionary rescue. Genetics. 202(2), 721–732. mla: Uecker, Hildegard, and Joachim Hermisson. “The Role of Recombination in Evolutionary Rescue.” Genetics, vol. 202, no. 2, Genetics Society of America, 2016, pp. 721–32, doi:10.1534/genetics.115.180299. short: H. Uecker, J. Hermisson, Genetics 202 (2016) 721–732. date_created: 2018-12-11T11:50:54Z date_published: 2016-02-01T00:00:00Z date_updated: 2023-02-21T10:24:19Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.115.180299 ec_funded: 1 intvolume: ' 202' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://biorxiv.org/content/early/2015/07/06/022020.abstract month: '02' oa: 1 oa_version: Preprint page: 721 - 732 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 25B67606-B435-11E9-9278-68D0E5697425 name: L'OREAL Fellowship publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '6091' quality_controlled: '1' scopus_import: 1 status: public title: The role of recombination in evolutionary rescue type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1349' abstract: - lang: eng text: Crossing fitness valleys is one of the major obstacles to function optimization. In this paper we investigate how the structure of the fitness valley, namely its depth d and length ℓ, influence the runtime of different strategies for crossing these valleys. We present a runtime comparison between the (1+1) EA and two non-elitist nature-inspired algorithms, Strong Selection Weak Mutation (SSWM) and the Metropolis algorithm. While the (1+1) EA has to jump across the valley to a point of higher fitness because it does not accept decreasing moves, the non-elitist algorithms may cross the valley by accepting worsening moves. We show that while the runtime of the (1+1) EA algorithm depends critically on the length of the valley, the runtimes of the non-elitist algorithms depend crucially only on the depth of the valley. In particular, the expected runtime of both SSWM and Metropolis is polynomial in ℓ and exponential in d while the (1+1) EA is efficient only for valleys of small length. Moreover, we show that both SSWM and Metropolis can also efficiently optimize a rugged function consisting of consecutive valleys. author: - first_name: Pietro full_name: Oliveto, Pietro last_name: Oliveto - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Jorge full_name: Heredia, Jorge last_name: Heredia - first_name: Dirk full_name: Sudholt, Dirk last_name: Sudholt - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 citation: ama: 'Oliveto P, Paixao T, Heredia J, Sudholt D, Trubenova B. When non-elitism outperforms elitism for crossing fitness valleys. In: Proceedings of the Genetic and Evolutionary Computation Conference 2016 . ACM; 2016:1163-1170. doi:10.1145/2908812.2908909' apa: 'Oliveto, P., Paixao, T., Heredia, J., Sudholt, D., & Trubenova, B. (2016). When non-elitism outperforms elitism for crossing fitness valleys. In Proceedings of the Genetic and Evolutionary Computation Conference 2016 (pp. 1163–1170). Denver, CO, USA: ACM. https://doi.org/10.1145/2908812.2908909' chicago: Oliveto, Pietro, Tiago Paixao, Jorge Heredia, Dirk Sudholt, and Barbora Trubenova. “When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys.” In Proceedings of the Genetic and Evolutionary Computation Conference 2016 , 1163–70. ACM, 2016. https://doi.org/10.1145/2908812.2908909. ieee: P. Oliveto, T. Paixao, J. Heredia, D. Sudholt, and B. Trubenova, “When non-elitism outperforms elitism for crossing fitness valleys,” in Proceedings of the Genetic and Evolutionary Computation Conference 2016 , Denver, CO, USA, 2016, pp. 1163–1170. ista: 'Oliveto P, Paixao T, Heredia J, Sudholt D, Trubenova B. 2016. When non-elitism outperforms elitism for crossing fitness valleys. Proceedings of the Genetic and Evolutionary Computation Conference 2016 . GECCO: Genetic and evolutionary computation conference, 1163–1170.' mla: Oliveto, Pietro, et al. “When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys.” Proceedings of the Genetic and Evolutionary Computation Conference 2016 , ACM, 2016, pp. 1163–70, doi:10.1145/2908812.2908909. short: P. Oliveto, T. Paixao, J. Heredia, D. Sudholt, B. Trubenova, in:, Proceedings of the Genetic and Evolutionary Computation Conference 2016 , ACM, 2016, pp. 1163–1170. conference: end_date: 2016-07-24 location: Denver, CO, USA name: 'GECCO: Genetic and evolutionary computation conference' start_date: 2016-07-20 date_created: 2018-12-11T11:51:31Z date_published: 2016-07-20T00:00:00Z date_updated: 2021-01-12T06:50:03Z day: '20' ddc: - '576' department: - _id: NiBa - _id: CaGu doi: 10.1145/2908812.2908909 ec_funded: 1 file: - access_level: open_access checksum: a1896e39e4113f2711e46b435d5f3e69 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:27Z date_updated: 2020-07-14T12:44:45Z file_id: '5214' file_name: IST-2016-650-v1+1_p1163-oliveto.pdf file_size: 979026 relation: main_file file_date_updated: 2020-07-14T12:44:45Z has_accepted_license: '1' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 1163 - 1170 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: 'Proceedings of the Genetic and Evolutionary Computation Conference 2016 ' publication_status: published publisher: ACM publist_id: '5900' pubrep_id: '650' quality_controlled: '1' scopus_import: 1 status: public title: When non-elitism outperforms elitism for crossing fitness valleys tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 year: '2016' ... --- _id: '1359' abstract: - lang: eng text: "The role of gene interactions in the evolutionary process has long\r\nbeen controversial. Although some argue that they are not of\r\nimportance, because most variation is additive, others claim that\r\ntheir effect in the long term can be substantial. Here, we focus on\r\nthe long-term effects of genetic interactions under directional\r\nselection assuming no mutation or dominance, and that epistasis is\r\nsymmetrical overall. We ask by how much the mean of a complex\r\ntrait can be increased by selection and analyze two extreme\r\nregimes, in which either drift or selection dominate the dynamics\r\nof allele frequencies. In both scenarios, epistatic interactions affect\r\nthe long-term response to selection by modulating the additive\r\ngenetic variance. When drift dominates, we extend Robertson\r\n’\r\ns\r\n[Robertson A (1960)\r\nProc R Soc Lond B Biol Sci\r\n153(951):234\r\n−\r\n249]\r\nargument to show that, for any form of epistasis, the total response\r\nof a haploid population is proportional to the initial total genotypic\r\nvariance. In contrast, the total response of a diploid population is\r\nincreased by epistasis, for a given initial genotypic variance. When\r\nselection dominates, we show that the total selection response can\r\nonly be increased by epistasis when s\r\nome initially deleterious alleles\r\nbecome favored as the genetic background changes. We find a sim-\r\nple approximation for this effect and show that, in this regime, it is\r\nthe structure of the genotype - phenotype map that matters and not\r\nthe variance components of the population." article_processing_charge: No article_type: original author: - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Paixao T, Barton NH. The effect of gene interactions on the long-term response to selection. PNAS. 2016;113(16):4422-4427. doi:10.1073/pnas.1518830113 apa: Paixao, T., & Barton, N. H. (2016). The effect of gene interactions on the long-term response to selection. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1518830113 chicago: Paixao, Tiago, and Nicholas H Barton. “The Effect of Gene Interactions on the Long-Term Response to Selection.” PNAS. National Academy of Sciences, 2016. https://doi.org/10.1073/pnas.1518830113. ieee: T. Paixao and N. H. Barton, “The effect of gene interactions on the long-term response to selection,” PNAS, vol. 113, no. 16. National Academy of Sciences, pp. 4422–4427, 2016. ista: Paixao T, Barton NH. 2016. The effect of gene interactions on the long-term response to selection. PNAS. 113(16), 4422–4427. mla: Paixao, Tiago, and Nicholas H. Barton. “The Effect of Gene Interactions on the Long-Term Response to Selection.” PNAS, vol. 113, no. 16, National Academy of Sciences, 2016, pp. 4422–27, doi:10.1073/pnas.1518830113. short: T. Paixao, N.H. Barton, PNAS 113 (2016) 4422–4427. date_created: 2018-12-11T11:51:34Z date_published: 2016-04-19T00:00:00Z date_updated: 2021-01-12T06:50:08Z day: '19' department: - _id: NiBa - _id: CaGu doi: 10.1073/pnas.1518830113 ec_funded: 1 external_id: pmid: - '27044080' intvolume: ' 113' issue: '16' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843425/ month: '04' oa: 1 oa_version: Published Version page: 4422 - 4427 pmid: 1 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: PNAS publication_status: published publisher: National Academy of Sciences publist_id: '5886' quality_controlled: '1' scopus_import: 1 status: public title: The effect of gene interactions on the long-term response to selection type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 113 year: '2016' ... --- _id: '1356' author: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Barton NH. Sewall Wright on evolution in Mendelian populations and the “Shifting Balance.” Genetics. 2016;202(1):3-4. doi:10.1534/genetics.115.184796 apa: Barton, N. H. (2016). Sewall Wright on evolution in Mendelian populations and the “Shifting Balance.” Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.184796 chicago: Barton, Nicholas H. “Sewall Wright on Evolution in Mendelian Populations and the ‘Shifting Balance.’” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.184796. ieee: N. H. Barton, “Sewall Wright on evolution in Mendelian populations and the ‘Shifting Balance,’” Genetics, vol. 202, no. 1. Genetics Society of America, pp. 3–4, 2016. ista: Barton NH. 2016. Sewall Wright on evolution in Mendelian populations and the “Shifting Balance”. Genetics. 202(1), 3–4. mla: Barton, Nicholas H. “Sewall Wright on Evolution in Mendelian Populations and the ‘Shifting Balance.’” Genetics, vol. 202, no. 1, Genetics Society of America, 2016, pp. 3–4, doi:10.1534/genetics.115.184796. short: N.H. Barton, Genetics 202 (2016) 3–4. date_created: 2018-12-11T11:51:33Z date_published: 2016-01-05T00:00:00Z date_updated: 2021-01-12T06:50:07Z day: '05' ddc: - '570' department: - _id: NiBa doi: 10.1534/genetics.115.184796 file: - access_level: open_access checksum: 3562b89c821a4be84edf2b6ebd870cf5 content_type: application/pdf creator: system date_created: 2018-12-12T10:08:26Z date_updated: 2020-07-14T12:44:46Z file_id: '4687' file_name: IST-2017-769-v1+1_SewallWright1931.pdf file_size: 112674 relation: main_file file_date_updated: 2020-07-14T12:44:46Z has_accepted_license: '1' intvolume: ' 202' issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 3 - 4 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '5889' pubrep_id: '769' quality_controlled: '1' scopus_import: 1 status: public title: Sewall Wright on evolution in Mendelian populations and the “Shifting Balance” type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1357' author: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Barton NH. Richard Hudson and Norman Kaplan on the coalescent process. Genetics. 2016;202(3):865-866. doi:10.1534/genetics.116.187542 apa: Barton, N. H. (2016). Richard Hudson and Norman Kaplan on the coalescent process. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.187542 chicago: Barton, Nicholas H. “Richard Hudson and Norman Kaplan on the Coalescent Process.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.116.187542. ieee: N. H. Barton, “Richard Hudson and Norman Kaplan on the coalescent process,” Genetics, vol. 202, no. 3. Genetics Society of America, pp. 865–866, 2016. ista: Barton NH. 2016. Richard Hudson and Norman Kaplan on the coalescent process. Genetics. 202(3), 865–866. mla: Barton, Nicholas H. “Richard Hudson and Norman Kaplan on the Coalescent Process.” Genetics, vol. 202, no. 3, Genetics Society of America, 2016, pp. 865–66, doi:10.1534/genetics.116.187542. short: N.H. Barton, Genetics 202 (2016) 865–866. date_created: 2018-12-11T11:51:33Z date_published: 2016-03-01T00:00:00Z date_updated: 2021-01-12T06:50:07Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1534/genetics.116.187542 file: - access_level: open_access checksum: b2174bab2de1d1142900062a150f35c9 content_type: application/pdf creator: system date_created: 2018-12-12T10:15:09Z date_updated: 2020-07-14T12:44:46Z file_id: '5127' file_name: IST-2017-768-v1+1_Hudson-Kaplan-1988.pdf file_size: 130779 relation: main_file file_date_updated: 2020-07-14T12:44:46Z has_accepted_license: '1' intvolume: ' 202' issue: '3' language: - iso: eng month: '03' oa: 1 oa_version: Submitted Version page: 865 - 866 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '5888' pubrep_id: '768' quality_controlled: '1' scopus_import: 1 status: public title: Richard Hudson and Norman Kaplan on the coalescent process type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1409' author: - first_name: Richard full_name: Abbott, Richard last_name: Abbott - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Jeffrey full_name: Good, Jeffrey last_name: Good citation: ama: Abbott R, Barton NH, Good J. Genomics of hybridization and its evolutionary consequences. Molecular Ecology. 2016;25(11):2325-2332. doi:10.1111/mec.13685 apa: Abbott, R., Barton, N. H., & Good, J. (2016). Genomics of hybridization and its evolutionary consequences. Molecular Ecology. Wiley-Blackwell. https://doi.org/10.1111/mec.13685 chicago: Abbott, Richard, Nicholas H Barton, and Jeffrey Good. “Genomics of Hybridization and Its Evolutionary Consequences.” Molecular Ecology. Wiley-Blackwell, 2016. https://doi.org/10.1111/mec.13685. ieee: R. Abbott, N. H. Barton, and J. Good, “Genomics of hybridization and its evolutionary consequences,” Molecular Ecology, vol. 25, no. 11. Wiley-Blackwell, pp. 2325–2332, 2016. ista: Abbott R, Barton NH, Good J. 2016. Genomics of hybridization and its evolutionary consequences. Molecular Ecology. 25(11), 2325–2332. mla: Abbott, Richard, et al. “Genomics of Hybridization and Its Evolutionary Consequences.” Molecular Ecology, vol. 25, no. 11, Wiley-Blackwell, 2016, pp. 2325–32, doi:10.1111/mec.13685. short: R. Abbott, N.H. Barton, J. Good, Molecular Ecology 25 (2016) 2325–2332. date_created: 2018-12-11T11:51:51Z date_published: 2016-06-08T00:00:00Z date_updated: 2021-01-12T06:50:33Z day: '08' ddc: - '576' department: - _id: NiBa doi: 10.1111/mec.13685 file: - access_level: open_access checksum: ede7d0b8a471754f71f17e2b20f3135b content_type: application/pdf creator: system date_created: 2018-12-12T10:10:12Z date_updated: 2020-07-14T12:44:53Z file_id: '4797' file_name: IST-2017-772-v1+1_AbbotEtAl2016-3.pdf file_size: 226137 relation: main_file file_date_updated: 2020-07-14T12:44:53Z has_accepted_license: '1' intvolume: ' 25' issue: '11' language: - iso: eng month: '06' oa: 1 oa_version: Submitted Version page: 2325 - 2332 publication: Molecular Ecology publication_status: published publisher: Wiley-Blackwell publist_id: '5798' pubrep_id: '772' quality_controlled: '1' scopus_import: 1 status: public title: Genomics of hybridization and its evolutionary consequences type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 25 year: '2016' ... --- _id: '1420' abstract: - lang: eng text: 'Selection, mutation, and random drift affect the dynamics of allele frequencies and consequently of quantitative traits. While the macroscopic dynamics of quantitative traits can be measured, the underlying allele frequencies are typically unobserved. Can we understand how the macroscopic observables evolve without following these microscopic processes? This problem has been studied previously by analogy with statistical mechanics: the allele frequency distribution at each time point is approximated by the stationary form, which maximizes entropy. We explore the limitations of this method when mutation is small (4Nμ < 1) so that populations are typically close to fixation, and we extend the theory in this regime to account for changes in mutation strength. We consider a single diallelic locus either under directional selection or with overdominance and then generalize to multiple unlinked biallelic loci with unequal effects. We find that the maximum-entropy approximation is remarkably accurate, even when mutation and selection change rapidly. ' article_processing_charge: No author: - first_name: Katarína full_name: Bod'ová, Katarína id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87 last_name: Bod'ová orcid: 0000-0002-7214-0171 - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Bodova K, Tkačik G, Barton NH. A general approximation for the dynamics of quantitative traits. Genetics. 2016;202(4):1523-1548. doi:10.1534/genetics.115.184127 apa: Bodova, K., Tkačik, G., & Barton, N. H. (2016). A general approximation for the dynamics of quantitative traits. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.184127 chicago: Bodova, Katarina, Gašper Tkačik, and Nicholas H Barton. “A General Approximation for the Dynamics of Quantitative Traits.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.184127. ieee: K. Bodova, G. Tkačik, and N. H. Barton, “A general approximation for the dynamics of quantitative traits,” Genetics, vol. 202, no. 4. Genetics Society of America, pp. 1523–1548, 2016. ista: Bodova K, Tkačik G, Barton NH. 2016. A general approximation for the dynamics of quantitative traits. Genetics. 202(4), 1523–1548. mla: Bodova, Katarina, et al. “A General Approximation for the Dynamics of Quantitative Traits.” Genetics, vol. 202, no. 4, Genetics Society of America, 2016, pp. 1523–48, doi:10.1534/genetics.115.184127. short: K. Bodova, G. Tkačik, N.H. Barton, Genetics 202 (2016) 1523–1548. date_created: 2018-12-11T11:51:55Z date_published: 2016-04-06T00:00:00Z date_updated: 2022-08-01T10:49:55Z day: '06' department: - _id: GaTk - _id: NiBa doi: 10.1534/genetics.115.184127 ec_funded: 1 external_id: arxiv: - '1510.08344' intvolume: ' 202' issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1510.08344 month: '04' oa: 1 oa_version: Preprint page: 1523 - 1548 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 255008E4-B435-11E9-9278-68D0E5697425 grant_number: RGP0065/2012 name: Information processing and computation in fish groups publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '5787' quality_controlled: '1' scopus_import: '1' status: public title: A general approximation for the dynamics of quantitative traits type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1518' abstract: - lang: eng text: The inference of demographic history from genome data is hindered by a lack of efficient computational approaches. In particular, it has proved difficult to exploit the information contained in the distribution of genealogies across the genome. We have previously shown that the generating function (GF) of genealogies can be used to analytically compute likelihoods of demographic models from configurations of mutations in short sequence blocks (Lohse et al. 2011). Although the GF has a simple, recursive form, the size of such likelihood calculations explodes quickly with the number of individuals and applications of this framework have so far been mainly limited to small samples (pairs and triplets) for which the GF can be written by hand. Here we investigate several strategies for exploiting the inherent symmetries of the coalescent. In particular, we show that the GF of genealogies can be decomposed into a set of equivalence classes that allows likelihood calculations from nontrivial samples. Using this strategy, we automated blockwise likelihood calculations for a general set of demographic scenarios in Mathematica. These histories may involve population size changes, continuous migration, discrete divergence, and admixture between multiple populations. To give a concrete example, we calculate the likelihood for a model of isolation with migration (IM), assuming two diploid samples without phase and outgroup information. We demonstrate the new inference scheme with an analysis of two individual butterfly genomes from the sister species Heliconius melpomene rosina and H. cydno. acknowledgement: "We thank Lynsey Bunnefeld for discussions throughout the project and Joshua Schraiber and one anonymous reviewer\r\nfor constructive comments on an earlier version of this manuscript. This work was supported by funding from the\r\nUnited Kingdom Natural Environment Research Council (to K.L.) (NE/I020288/1) and a grant from the European\r\nResearch Council (250152) (to N.H.B.)." article_processing_charge: No article_type: original author: - first_name: Konrad full_name: Lohse, Konrad last_name: Lohse - first_name: Martin full_name: Chmelik, Martin id: 3624234E-F248-11E8-B48F-1D18A9856A87 last_name: Chmelik - first_name: Simon full_name: Martin, Simon last_name: Martin - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Lohse K, Chmelik M, Martin S, Barton NH. Efficient strategies for calculating blockwise likelihoods under the coalescent. Genetics. 2016;202(2):775-786. doi:10.1534/genetics.115.183814 apa: Lohse, K., Chmelik, M., Martin, S., & Barton, N. H. (2016). Efficient strategies for calculating blockwise likelihoods under the coalescent. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.183814 chicago: Lohse, Konrad, Martin Chmelik, Simon Martin, and Nicholas H Barton. “Efficient Strategies for Calculating Blockwise Likelihoods under the Coalescent.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.183814. ieee: K. Lohse, M. Chmelik, S. Martin, and N. H. Barton, “Efficient strategies for calculating blockwise likelihoods under the coalescent,” Genetics, vol. 202, no. 2. Genetics Society of America, pp. 775–786, 2016. ista: Lohse K, Chmelik M, Martin S, Barton NH. 2016. Efficient strategies for calculating blockwise likelihoods under the coalescent. Genetics. 202(2), 775–786. mla: Lohse, Konrad, et al. “Efficient Strategies for Calculating Blockwise Likelihoods under the Coalescent.” Genetics, vol. 202, no. 2, Genetics Society of America, 2016, pp. 775–86, doi:10.1534/genetics.115.183814. short: K. Lohse, M. Chmelik, S. Martin, N.H. Barton, Genetics 202 (2016) 775–786. date_created: 2018-12-11T11:52:29Z date_published: 2016-02-01T00:00:00Z date_updated: 2022-05-24T09:16:22Z day: '01' ddc: - '570' department: - _id: KrCh - _id: NiBa doi: 10.1534/genetics.115.183814 ec_funded: 1 external_id: pmid: - '26715666' file: - access_level: open_access checksum: 41c9b5d72e7fe4624dd22dfe622337d5 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:51Z date_updated: 2020-07-14T12:45:00Z file_id: '5241' file_name: IST-2016-561-v1+1_Lohse_et_al_Genetics_2015.pdf file_size: 957466 relation: main_file file_date_updated: 2020-07-14T12:45:00Z has_accepted_license: '1' intvolume: ' 202' issue: '2' language: - iso: eng month: '02' oa: 1 oa_version: Preprint page: 775 - 786 pmid: 1 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '5658' pubrep_id: '561' quality_controlled: '1' scopus_import: '1' status: public title: Efficient strategies for calculating blockwise likelihoods under the coalescent type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1631' abstract: - lang: eng text: 'Ancestral processes are fundamental to modern population genetics and spatial structure has been the subject of intense interest for many years. Despite this interest, almost nothing is known about the distribution of the locations of pedigree or genetic ancestors. Using both spatially continuous and stepping-stone models, we show that the distribution of pedigree ancestors approaches a travelling wave, for which we develop two alternative approximations. The speed and width of the wave are sensitive to the local details of the model. After a short time, genetic ancestors spread far more slowly than pedigree ancestors, ultimately diffusing out with radius ## rather than spreading at constant speed. In contrast to the wave of pedigree ancestors, the spread of genetic ancestry is insensitive to the local details of the models.' author: - first_name: Jerome full_name: Kelleher, Jerome last_name: Kelleher - first_name: Alison full_name: Etheridge, Alison last_name: Etheridge - first_name: Amandine full_name: Véber, Amandine last_name: Véber - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Kelleher J, Etheridge A, Véber A, Barton NH. Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology. 2016;108:1-12. doi:10.1016/j.tpb.2015.10.008 apa: Kelleher, J., Etheridge, A., Véber, A., & Barton, N. H. (2016). Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2015.10.008 chicago: Kelleher, Jerome, Alison Etheridge, Amandine Véber, and Nicholas H Barton. “Spread of Pedigree versus Genetic Ancestry in Spatially Distributed Populations.” Theoretical Population Biology. Academic Press, 2016. https://doi.org/10.1016/j.tpb.2015.10.008. ieee: J. Kelleher, A. Etheridge, A. Véber, and N. H. Barton, “Spread of pedigree versus genetic ancestry in spatially distributed populations,” Theoretical Population Biology, vol. 108. Academic Press, pp. 1–12, 2016. ista: Kelleher J, Etheridge A, Véber A, Barton NH. 2016. Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology. 108, 1–12. mla: Kelleher, Jerome, et al. “Spread of Pedigree versus Genetic Ancestry in Spatially Distributed Populations.” Theoretical Population Biology, vol. 108, Academic Press, 2016, pp. 1–12, doi:10.1016/j.tpb.2015.10.008. short: J. Kelleher, A. Etheridge, A. Véber, N.H. Barton, Theoretical Population Biology 108 (2016) 1–12. date_created: 2018-12-11T11:53:08Z date_published: 2016-04-01T00:00:00Z date_updated: 2021-01-12T06:52:07Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1016/j.tpb.2015.10.008 ec_funded: 1 file: - access_level: open_access checksum: 6a65ba187994d4ad86c1c509e0ff482a content_type: application/pdf creator: system date_created: 2018-12-12T10:11:12Z date_updated: 2020-07-14T12:45:07Z file_id: '4865' file_name: IST-2016-465-v1+1_1-s2.0-S0040580915001094-main.pdf file_size: 1684043 relation: main_file file_date_updated: 2020-07-14T12:45:07Z has_accepted_license: '1' intvolume: ' 108' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: 1 - 12 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Theoretical Population Biology publication_status: published publisher: Academic Press publist_id: '5524' pubrep_id: '465' quality_controlled: '1' scopus_import: 1 status: public title: Spread of pedigree versus genetic ancestry in spatially distributed populations tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 108 year: '2016' ... --- _id: '1158' abstract: - lang: eng text: Speciation results from the progressive accumulation of mutations that decrease the probability of mating between parental populations or reduce the fitness of hybrids—the so-called species barriers. The speciation genomic literature, however, is mainly a collection of case studies, each with its own approach and specificities, such that a global view of the gradual process of evolution from one to two species is currently lacking. Of primary importance is the prevalence of gene flow between diverging entities, which is central in most species concepts and has been widely discussed in recent years. Here, we explore the continuum of speciation thanks to a comparative analysis of genomic data from 61 pairs of populations/species of animals with variable levels of divergence. Gene flow between diverging gene pools is assessed under an approximate Bayesian computation (ABC) framework. We show that the intermediate "grey zone" of speciation, in which taxonomy is often controversial, spans from 0.5% to 2% of net synonymous divergence, irrespective of species life history traits or ecology. Thanks to appropriate modeling of among-locus variation in genetic drift and introgression rate, we clarify the status of the majority of ambiguous cases and uncover a number of cryptic species. Our analysis also reveals the high incidence in animals of semi-isolated species (when some but not all loci are affected by barriers to gene flow) and highlights the intrinsic difficulty, both statistical and conceptual, of delineating species in the grey zone of speciation. acknowledgement: "European Research Council (ERC) https://erc.europa.eu/ (grant number ERC grant 232971). PopPhyl project. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. French National Research Agency (ANR) http://www.agence-nationale-recherche.fr/en/project-based-funding-to-advance-french-research/ (grant number ANR-12-BSV7- 0011). HYSEA project.\r\nWe thank Aude Darracq, Vincent Castric, Pierre-Alexandre Gagnaire, Xavier Vekemans, and John Welch for insightful discussions. The computations were performed at the Vital-IT (http://www.vital-it.ch) Center for high-performance computing of the SIB Swiss Institute of Bioinformatics and the ISEM computing cluster at the platform Montpellier Bioinformatique et Biodiversité." article_number: e2000234 author: - first_name: Camille full_name: Roux, Camille last_name: Roux - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Jonathan full_name: Romiguier, Jonathan last_name: Romiguier - first_name: Youann full_name: Anciaux, Youann last_name: Anciaux - first_name: Nicolas full_name: Galtier, Nicolas last_name: Galtier - first_name: Nicolas full_name: Bierne, Nicolas last_name: Bierne citation: ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Shedding light on the grey zone of speciation along a continuum of genomic divergence. PLoS Biology. 2016;14(12). doi:10.1371/journal.pbio.2000234 apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne, N. (2016). Shedding light on the grey zone of speciation along a continuum of genomic divergence. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234 chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux, Nicolas Galtier, and Nicolas Bierne. “Shedding Light on the Grey Zone of Speciation along a Continuum of Genomic Divergence.” PLoS Biology. Public Library of Science, 2016. https://doi.org/10.1371/journal.pbio.2000234. ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne, “Shedding light on the grey zone of speciation along a continuum of genomic divergence,” PLoS Biology, vol. 14, no. 12. Public Library of Science, 2016. ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Shedding light on the grey zone of speciation along a continuum of genomic divergence. PLoS Biology. 14(12), e2000234. mla: Roux, Camille, et al. “Shedding Light on the Grey Zone of Speciation along a Continuum of Genomic Divergence.” PLoS Biology, vol. 14, no. 12, e2000234, Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234. short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, PLoS Biology 14 (2016). date_created: 2018-12-11T11:50:28Z date_published: 2016-12-27T00:00:00Z date_updated: 2023-02-23T14:11:16Z day: '27' ddc: - '576' department: - _id: BeVi - _id: NiBa doi: 10.1371/journal.pbio.2000234 file: - access_level: open_access checksum: 2bab63b068a9840efd532b9ae583f9bb content_type: application/pdf creator: system date_created: 2018-12-12T10:15:42Z date_updated: 2020-07-14T12:44:36Z file_id: '5164' file_name: IST-2017-742-v1+1_journal.pbio.2000234.pdf file_size: 2494348 relation: main_file file_date_updated: 2020-07-14T12:44:36Z has_accepted_license: '1' intvolume: ' 14' issue: '12' language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: PLoS Biology publication_status: published publisher: Public Library of Science publist_id: '6200' pubrep_id: '742' quality_controlled: '1' related_material: record: - id: '9862' relation: research_data status: public - id: '9863' relation: research_data status: public scopus_import: 1 status: public title: Shedding light on the grey zone of speciation along a continuum of genomic divergence tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 14 year: '2016' ...