--- _id: '1125' abstract: - lang: eng text: "Natural environments are never constant but subject to spatial and temporal change on\r\nall scales, increasingly so due to human activity. Hence, it is crucial to understand the\r\nimpact of environmental variation on evolutionary processes. In this thesis, I present\r\nthree topics that share the common theme of environmental variation, yet illustrate its\r\neffect from different perspectives.\r\nFirst, I show how a temporally fluctuating environment gives rise to second-order\r\nselection on a modifier for stress-induced mutagenesis. Without fluctuations, when\r\npopulations are adapted to their environment, mutation rates are minimized. I argue\r\nthat a stress-induced mutator mechanism may only be maintained if the population is\r\nrepeatedly subjected to diverse environmental challenges, and I outline implications of\r\nthe presented results to antibiotic treatment strategies.\r\nSecond, I discuss my work on the evolution of dispersal. Besides reproducing\r\nknown results about the effect of heterogeneous habitats on dispersal, it identifies\r\nspatial changes in dispersal type frequencies as a source for selection for increased\r\npropensities to disperse. This concept contains effects of relatedness that are known\r\nto promote dispersal, and I explain how it identifies other forces selecting for dispersal\r\nand puts them on a common scale.\r\nThird, I analyse genetic variances of phenotypic traits under multivariate stabilizing\r\nselection. For the case of constant environments, I generalize known formulae of\r\nequilibrium variances to multiple traits and discuss how the genetic variance of a focal\r\ntrait is influenced by selection on background traits. I conclude by presenting ideas and\r\npreliminary work aiming at including environmental fluctuations in the form of moving\r\ntrait optima into the model." alternative_title: - ISTA Thesis 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 citation: ama: Novak S. Evolutionary proccesses in variable emvironments. 2016. apa: Novak, S. (2016). Evolutionary proccesses in variable emvironments. Institute of Science and Technology Austria. chicago: Novak, Sebastian. “Evolutionary Proccesses in Variable Emvironments.” Institute of Science and Technology Austria, 2016. ieee: S. Novak, “Evolutionary proccesses in variable emvironments,” Institute of Science and Technology Austria, 2016. ista: Novak S. 2016. Evolutionary proccesses in variable emvironments. Institute of Science and Technology Austria. mla: Novak, Sebastian. Evolutionary Proccesses in Variable Emvironments. Institute of Science and Technology Austria, 2016. short: S. Novak, Evolutionary Proccesses in Variable Emvironments, Institute of Science and Technology Austria, 2016. date_created: 2018-12-11T11:50:17Z date_published: 2016-07-01T00:00:00Z date_updated: 2023-09-07T11:55:53Z day: '01' ddc: - '576' degree_awarded: PhD department: - _id: NiBa file: - access_level: closed checksum: 81dcc838dfcf7aa0b1a27ecf4fe2da4e content_type: application/pdf creator: dernst date_created: 2019-08-13T09:01:00Z date_updated: 2019-08-13T09:01:00Z file_id: '6811' file_name: Novak_thesis.pdf file_size: 3564901 relation: main_file - access_level: open_access checksum: 30808d2f7ca920e09f63a95cdc49bffd content_type: application/pdf creator: dernst date_created: 2021-02-22T13:42:47Z date_updated: 2021-02-22T13:42:47Z file_id: '9186' file_name: 2016_Novak_Thesis.pdf file_size: 2814384 relation: main_file success: 1 file_date_updated: 2021-02-22T13:42:47Z has_accepted_license: '1' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: '124' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria publist_id: '6235' related_material: record: - id: '2023' 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: Evolutionary proccesses in variable emvironments type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2016' ... --- _id: '1358' abstract: - lang: eng text: 'Gene regulation relies on the specificity of transcription factor (TF)–DNA interactions. Limited specificity may lead to crosstalk: a regulatory state in which a gene is either incorrectly activated due to noncognate TF–DNA interactions or remains erroneously inactive. As each TF can have numerous interactions with noncognate cis-regulatory elements, crosstalk is inherently a global problem, yet has previously not been studied as such. We construct a theoretical framework to analyse the effects of global crosstalk on gene regulation. We find that crosstalk presents a significant challenge for organisms with low-specificity TFs, such as metazoans. Crosstalk is not easily mitigated by known regulatory schemes acting at equilibrium, including variants of cooperativity and combinatorial regulation. Our results suggest that crosstalk imposes a previously unexplored global constraint on the functioning and evolution of regulatory networks, which is qualitatively distinct from the known constraints that act at the level of individual gene regulatory elements.' article_number: '12307' 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: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - 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, Guet CC, Barton NH, Tkačik G. Intrinsic limits to gene regulation by global crosstalk. Nature Communications. 2016;7. doi:10.1038/ncomms12307 apa: Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., & Tkačik, G. (2016). Intrinsic limits to gene regulation by global crosstalk. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms12307 chicago: Friedlander, Tamar, Roshan Prizak, Calin C Guet, Nicholas H Barton, and Gašper Tkačik. “Intrinsic Limits to Gene Regulation by Global Crosstalk.” Nature Communications. Nature Publishing Group, 2016. https://doi.org/10.1038/ncomms12307. ieee: T. Friedlander, R. Prizak, C. C. Guet, N. H. Barton, and G. Tkačik, “Intrinsic limits to gene regulation by global crosstalk,” Nature Communications, vol. 7. Nature Publishing Group, 2016. ista: Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. 2016. Intrinsic limits to gene regulation by global crosstalk. Nature Communications. 7, 12307. mla: Friedlander, Tamar, et al. “Intrinsic Limits to Gene Regulation by Global Crosstalk.” Nature Communications, vol. 7, 12307, Nature Publishing Group, 2016, doi:10.1038/ncomms12307. short: T. Friedlander, R. Prizak, C.C. Guet, N.H. Barton, G. Tkačik, Nature Communications 7 (2016). date_created: 2018-12-11T11:51:34Z date_published: 2016-08-04T00:00:00Z date_updated: 2023-09-07T12:53:49Z day: '04' ddc: - '576' department: - _id: GaTk - _id: NiBa - _id: CaGu doi: 10.1038/ncomms12307 ec_funded: 1 file: - access_level: open_access checksum: fe3f3a1526d180b29fe691ab11435b78 content_type: application/pdf creator: system date_created: 2018-12-12T10:12:01Z date_updated: 2020-07-14T12:44:46Z file_id: '4919' file_name: IST-2016-627-v1+1_ncomms12307.pdf file_size: 861805 relation: main_file - access_level: open_access checksum: 164864a1a675f3ad80e9917c27aba07f content_type: application/pdf creator: system date_created: 2018-12-12T10:12:02Z date_updated: 2020-07-14T12:44:46Z file_id: '4920' file_name: IST-2016-627-v1+2_ncomms12307-s1.pdf file_size: 1084703 relation: main_file file_date_updated: 2020-07-14T12:44:46Z has_accepted_license: '1' intvolume: ' 7' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ 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_status: published publisher: Nature Publishing Group publist_id: '5887' pubrep_id: '627' quality_controlled: '1' related_material: record: - id: '6071' relation: dissertation_contains status: public scopus_import: 1 status: public title: Intrinsic limits to gene regulation by global crosstalk 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: 7 year: '2016' ... --- _id: '9710' 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. Data from: How does epistasis influence the response to selection? 2016. doi:10.5061/dryad.s5s7r' apa: 'Barton, N. H. (2016). Data from: How does epistasis influence the response to selection? Dryad. https://doi.org/10.5061/dryad.s5s7r' chicago: 'Barton, Nicholas H. “Data from: How Does Epistasis Influence the Response to Selection?” Dryad, 2016. https://doi.org/10.5061/dryad.s5s7r.' ieee: 'N. H. Barton, “Data from: How does epistasis influence the response to selection?” Dryad, 2016.' ista: 'Barton NH. 2016. Data from: How does epistasis influence the response to selection?, Dryad, 10.5061/dryad.s5s7r.' mla: 'Barton, Nicholas H. Data from: How Does Epistasis Influence the Response to Selection? Dryad, 2016, doi:10.5061/dryad.s5s7r.' short: N.H. Barton, (2016). date_created: 2021-07-23T11:45:47Z date_published: 2016-09-23T00:00:00Z date_updated: 2023-09-20T11:17:47Z day: '23' department: - _id: NiBa doi: 10.5061/dryad.s5s7r main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.s5s7r month: '09' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '1199' relation: used_in_publication status: public status: public title: 'Data from: How does epistasis influence the response to selection?' type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2016' ... --- _id: '9864' 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 ϕX174 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_processing_charge: No 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: de Vladar, Harold id: 2A181218-F248-11E8-B48F-1D18A9856A87 last_name: de 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. Data from evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. 2016. doi:10.6084/m9.figshare.4315652.v1 apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & Bollback, J. P. (2016). Data from evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. The Royal Society. https://doi.org/10.6084/m9.figshare.4315652.v1 chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan P Bollback. “Data from Evolutionary Interplay between Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” The Royal Society, 2016. https://doi.org/10.6084/m9.figshare.4315652.v1. ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Data from evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family.” The Royal Society, 2016. ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2016. Data from evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family, The Royal Society, 10.6084/m9.figshare.4315652.v1. mla: Fernandes Redondo, Rodrigo A., et al. Data from Evolutionary Interplay between Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family. The Royal Society, 2016, doi:10.6084/m9.figshare.4315652.v1. short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, (2016). date_created: 2021-08-10T08:29:47Z date_published: 2016-12-14T00:00:00Z date_updated: 2023-09-20T11:56:33Z day: '14' department: - _id: NiBa - _id: JoBo doi: 10.6084/m9.figshare.4315652.v1 main_file_link: - open_access: '1' url: https://doi.org/10.6084/m9.figshare.4315652.v1 month: '12' oa: 1 oa_version: Published Version publisher: The Royal Society related_material: record: - id: '1077' relation: used_in_publication status: public status: public title: Data from evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2016' ... --- _id: '1382' abstract: - lang: eng text: Background and aims Angiosperms display remarkable diversity in flower colour, implying that transitions between pigmentation phenotypes must have been common. Despite progress in understanding transitions between anthocyanin (blue, purple, pink or red) and unpigmented (white) flowers, little is known about the evolutionary patterns of flower-colour transitions in lineages with both yellow and anthocyanin-pigmented flowers. This study investigates the relative rates of evolutionary transitions between different combinations of yellow- and anthocyanin-pigmentation phenotypes in the tribe Antirrhineae. Methods We surveyed taxonomic literature for data on anthocyanin and yellow floral pigmentation for 369 species across the tribe. We then reconstructed the phylogeny of 169 taxa and used phylogenetic comparative methods to estimate transition rates among pigmentation phenotypes across the phylogeny. Key Results In contrast to previous studies we found a bias towards transitions involving a gain in pigmentation, although transitions to phenotypes with both anthocyanin and yellow taxa are nevertheless extremely rare. Despite the dominance of yellow and anthocyanin-pigmented taxa, transitions between these phenotypes are constrained to move through a white intermediate stage, whereas transitions to double-pigmentation are very rare. The most abundant transitions are between anthocyanin-pigmented and unpigmented flowers, and similarly the most abundant polymorphic taxa were those with anthocyanin-pigmented and unpigmented flowers. Conclusions Our findings show that pigment evolution is limited by the presence of other floral pigments. This interaction between anthocyanin and yellow pigments constrains the breadth of potential floral diversity observed in nature. In particular, they suggest that selection has repeatedly acted to promote the spread of single-pigmented phenotypes across the Antirrhineae phylogeny. Furthermore, the correlation between transition rates and polymorphism suggests that the forces causing and maintaining variance in the short term reflect evolutionary processes on longer time scales. acknowledgement: We thank Melinda Pickup, Spencer Barrett, Nick Barton and four anonymous reviewers for helpful discussions on previous versions of this manuscript. We also thank Jana Porsche for her efforts in tracking down the more obscure references. 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 citation: ama: Ellis T, Field D. Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae. Annals of Botany. 2016;117(7):1133-1140. doi:10.1093/aob/mcw043 apa: Ellis, T., & Field, D. (2016). Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae. Annals of Botany. Oxford University Press. https://doi.org/10.1093/aob/mcw043 chicago: Ellis, Thomas, and David Field. “Repeated Gains in Yellow and Anthocyanin Pigmentation in Flower Colour Transitions in the Antirrhineae.” Annals of Botany. Oxford University Press, 2016. https://doi.org/10.1093/aob/mcw043. ieee: T. Ellis and D. Field, “Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae,” Annals of Botany, vol. 117, no. 7. Oxford University Press, pp. 1133–1140, 2016. ista: Ellis T, Field D. 2016. Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae. Annals of Botany. 117(7), 1133–1140. mla: Ellis, Thomas, and David Field. “Repeated Gains in Yellow and Anthocyanin Pigmentation in Flower Colour Transitions in the Antirrhineae.” Annals of Botany, vol. 117, no. 7, Oxford University Press, 2016, pp. 1133–40, doi:10.1093/aob/mcw043. short: T. Ellis, D. Field, Annals of Botany 117 (2016) 1133–1140. date_created: 2018-12-11T11:51:42Z date_published: 2016-06-01T00:00:00Z date_updated: 2024-02-21T13:49:53Z day: '1' department: - _id: NiBa doi: 10.1093/aob/mcw043 intvolume: ' 117' issue: '7' language: - iso: eng month: '06' oa_version: None page: 1133 - 1140 publication: Annals of Botany publication_status: published publisher: Oxford University Press publist_id: '5828' quality_controlled: '1' related_material: record: - id: '5550' relation: popular_science status: public scopus_import: 1 status: public title: Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 117 year: '2016' ... --- _id: '5550' abstract: - lang: eng text: "We collected flower colour information on species in the tribe Antirrhineae from taxonomic literature. We also retreived molecular data from GenBank for as many of these species as possible to estimate phylogenetic relationships among these taxa. We then used the R package 'diversitree' to examine patterns of evolutionary transitions between anthocyanin and yellow pigmentation across the phylogeny.\r\n\r\nFor full details of the methods see:\r\nEllis TJ and Field DL \"Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae”, Annals of Botany (in press)" 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 citation: ama: Ellis T, Field D. Flower colour data and phylogeny (NEXUS) files. 2016. doi:10.15479/AT:ISTA:34 apa: Ellis, T., & Field, D. (2016). Flower colour data and phylogeny (NEXUS) files. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:34 chicago: Ellis, Thomas, and David Field. “Flower Colour Data and Phylogeny (NEXUS) Files.” Institute of Science and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:34. ieee: T. Ellis and D. Field, “Flower colour data and phylogeny (NEXUS) files.” Institute of Science and Technology Austria, 2016. ista: Ellis T, Field D. 2016. Flower colour data and phylogeny (NEXUS) files, Institute of Science and Technology Austria, 10.15479/AT:ISTA:34. mla: Ellis, Thomas, and David Field. Flower Colour Data and Phylogeny (NEXUS) Files. Institute of Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:34. short: T. Ellis, D. Field, (2016). datarep_id: '34' date_created: 2018-12-12T12:31:29Z date_published: 2016-02-19T00:00:00Z date_updated: 2024-02-21T13:49:54Z day: '19' ddc: - '576' department: - _id: NiBa doi: 10.15479/AT:ISTA:34 file: - access_level: open_access checksum: 950f85b80427d357bfeff09608ba02e9 content_type: application/zip creator: system date_created: 2018-12-12T13:02:27Z date_updated: 2020-07-14T12:47:00Z file_id: '5594' file_name: IST-2016-34-v1+1_tellis_flower_colour_data.zip file_size: 4468543 relation: main_file file_date_updated: 2020-07-14T12:47:00Z has_accepted_license: '1' license: https://creativecommons.org/publicdomain/zero/1.0/ month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria publist_id: '5828' related_material: record: - id: '1382' relation: research_paper status: public status: public title: Flower colour data and phylogeny (NEXUS) files tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2016' ... --- _id: '1398' abstract: - lang: eng text: Hybrid zones represent evolutionary laboratories, where recombination brings together alleles in combinations which have not previously been tested by selection. This provides an excellent opportunity to test the effect of molecular variation on fitness, and how this variation is able to spread through populations in a natural context. The snapdragon Antirrhinum majus is polymorphic in the wild for two loci controlling the distribution of yellow and magenta floral pigments. Where the yellow A. m. striatum and the magenta A. m. pseudomajus meet along a valley in the Spanish Pyrenees they form a stable hybrid zone Alleles at these loci recombine to give striking transgressive variation for flower colour. The sharp transition in phenotype over ~1km implies strong selection maintaining the hybrid zone. An indirect assay of pollinator visitation in the field found that pollinators forage in a positive-frequency dependent manner on Antirrhinum, matching previous data on fruit set. Experimental arrays and paternity analysis of wild-pollinated seeds demonstrated assortative mating for pigmentation alleles, and that pollinator behaviour alone is sufficient to explain this pattern. Selection by pollinators should be sufficiently strong to maintain the hybrid zone, although other mechanisms may be at work. At a broader scale I examined evolutionary transitions between yellow and anthocyanin pigmentation in the tribe Antirrhinae, and found that selection has acted strate that pollinators are a major determinant of reproductive success and mating patterns in wild Antirrhinum. acknowledgement: "I am indebted to many people for their support during my PhD, but I particularly wish to thank Nick Barton for his guidance and intuition, and for encouraging me to take the time to look beyond the immediate topic of my PhD to understand the broader context. I am also especially grateful to David Field his bottomless patience, invaluable advice on experimental design, analysis and scientific writing, and for tireless work on the population surveys and genomic work without most of my thesis could not have happened. \r\n\r\nIt has been a pleasure to work with the combined strengths of the groups at The John Innes Centre, University of Toulouse and IST Austria. Thanks to Enrico Coen and his group for hosting me in Norwich in 2011 and especially for setting up the tag experiment. \r\n\r\nI thank David Field, Desmond Bradley and Maria Clara Melo-Hurtado for organising field collections, as well as Monique Burrus and Christophe Andalo and a large number of volunteers for their e ff orts helping with the field work. Furthermore I thank Coline Jaworski for providing seeds and for her input into the design of the experimental arrays, and Matthew Couchman for maintaining the database of. \r\n\r\nIn addition to those mentioned above, I am grateful to Melinda Pickup, Spencer Barrett, and four anonymous reviewers for their insightful comments on sections of this manuscript. I also thank Jana Porsche for her e ff orts in tracking down the more obscure references for chapter 5, and Jon Bollback for his advice about the analysis. \r\n\r\nI am indebted to Jon Ågren for his patience whilst I finished this thesis, and to Sylvia Cremer and Magnus Nordborg for taking the time to read and evaluate the thesis given a shorter deadline than was fair. \r\n\r\nA very positive aspect of my PhD has been the supportive atmosphere of IST. In particular, I have come to appreciate the enormous support from our group assistants Nicole Hotzy, Julia Asimakis, Christine Ostermann and Jerneja Beslagic. I also thank Christian Chaloupka and Stefan Hipfinger for their enthusiasm and readiness to help where possible in setting up our greenhouse and experiments. " alternative_title: - ISTA Thesis 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 citation: ama: Ellis T. The role of pollinator-mediated selection in the maintenance of a flower color polymorphism in an Antirrhinum majus hybrid zone. 2016. doi:10.15479/AT:ISTA:TH_526 apa: Ellis, T. (2016). The role of pollinator-mediated selection in the maintenance of a flower color polymorphism in an Antirrhinum majus hybrid zone. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:TH_526 chicago: Ellis, Thomas. “The Role of Pollinator-Mediated Selection in the Maintenance of a Flower Color Polymorphism in an Antirrhinum Majus Hybrid Zone.” Institute of Science and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:TH_526 . ieee: T. Ellis, “The role of pollinator-mediated selection in the maintenance of a flower color polymorphism in an Antirrhinum majus hybrid zone,” Institute of Science and Technology Austria, 2016. ista: Ellis T. 2016. The role of pollinator-mediated selection in the maintenance of a flower color polymorphism in an Antirrhinum majus hybrid zone. Institute of Science and Technology Austria. mla: Ellis, Thomas. The Role of Pollinator-Mediated Selection in the Maintenance of a Flower Color Polymorphism in an Antirrhinum Majus Hybrid Zone. Institute of Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:TH_526 . short: T. Ellis, The Role of Pollinator-Mediated Selection in the Maintenance of a Flower Color Polymorphism in an Antirrhinum Majus Hybrid Zone, Institute of Science and Technology Austria, 2016. date_created: 2018-12-11T11:51:47Z date_published: 2016-02-18T00:00:00Z date_updated: 2024-02-21T13:51:39Z day: '18' ddc: - '576' degree_awarded: PhD department: - _id: NiBa doi: '10.15479/AT:ISTA:TH_526 ' file: - access_level: open_access checksum: a89b17ff27cf92c9a15f6b3d46bd7e53 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:51Z date_updated: 2020-07-14T12:44:48Z file_id: '5106' file_name: IST-2016-526-v1+1_Ellis_signed_thesis.pdf file_size: 11928241 relation: main_file file_date_updated: 2020-07-14T12:44:48Z has_accepted_license: '1' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: '130' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria publist_id: '5809' pubrep_id: '526' related_material: record: - id: '5553' relation: popular_science status: public - id: '5551' relation: popular_science status: public - id: '5552' relation: popular_science 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: The role of pollinator-mediated selection in the maintenance of a flower color polymorphism in an Antirrhinum majus hybrid zone type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2016' ... --- _id: '1131' abstract: - lang: eng text: "Evolution of gene regulation is important for phenotypic evolution and diversity. Sequence-specific binding of regulatory proteins is one of the key regulatory mechanisms determining gene expression. Although there has been intense interest in evolution of regulatory binding sites in the last decades, a theoretical understanding is far from being complete. In this thesis, I aim at a better understanding of the evolution of transcriptional regulatory binding sequences by using biophysical and population genetic models.\r\nIn the first part of the thesis, I discuss how to formulate the evolutionary dynamics of binding se- quences in a single isolated binding site and in promoter/enhancer regions. I develop a theoretical framework bridging between a thermodynamical model for transcription and a mutation-selection-drift model for monomorphic populations. I mainly address the typical evolutionary rates, and how they de- pend on biophysical parameters (e.g. binding length and specificity) and population genetic parameters (e.g. population size and selection strength).\r\nIn the second part of the thesis, I analyse empirical data for a better evolutionary and biophysical understanding of sequence-specific binding of bacterial RNA polymerase. First, I infer selection on regulatory and non-regulatory binding sites of RNA polymerase in the E. coli K12 genome. Second, I infer the chemical potential of RNA polymerase, an important but unknown physical parameter defining the threshold energy for strong binding. Furthermore, I try to understand the relation between the lac promoter sequence diversity and the LacZ activity variation among 20 bacterial isolates by constructing a simple but biophysically motivated gene expression model. Lastly, I lay out a statistical framework to predict adaptive point mutations in de novo promoter evolution in a selection experiment." acknowledgement: This PhD thesis may not have been completed without the help and care I received from some peo- ple during my PhD life. I am especially grateful to Tiago Paixao, Gasper Tkacik, Nick Barton, not only for their scientific advices but also for their patience and support. I thank Calin Guet and Jonathan Bollback for allowing me to “play around” in their labs and get some experience on experimental evolution. I thank Magdalena Steinrueck and Fabienne Jesse for collaborating and sharing their experimental data with me. I thank Johannes Jaeger for reviewing my thesis. I thank all members of Barton group (aka bartonians) for their feedback, and all workers of IST Austria for making the best working conditions. Lastly, I thank two special women, Nejla Sag ̆lam and Setenay Dog ̆an, for their continuous support and encouragement. I truly had a great chance of having right people around me. alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Murat full_name: Tugrul, Murat id: 37C323C6-F248-11E8-B48F-1D18A9856A87 last_name: Tugrul orcid: 0000-0002-8523-0758 citation: ama: Tugrul M. Evolution of transcriptional regulatory sequences. 2016. apa: Tugrul, M. (2016). Evolution of transcriptional regulatory sequences. Institute of Science and Technology Austria. chicago: Tugrul, Murat. “Evolution of Transcriptional Regulatory Sequences.” Institute of Science and Technology Austria, 2016. ieee: M. Tugrul, “Evolution of transcriptional regulatory sequences,” Institute of Science and Technology Austria, 2016. ista: Tugrul M. 2016. Evolution of transcriptional regulatory sequences. Institute of Science and Technology Austria. mla: Tugrul, Murat. Evolution of Transcriptional Regulatory Sequences. Institute of Science and Technology Austria, 2016. short: M. Tugrul, Evolution of Transcriptional Regulatory Sequences, Institute of Science and Technology Austria, 2016. date_created: 2018-12-11T11:50:19Z date_published: 2016-07-01T00:00:00Z date_updated: 2024-02-21T13:50:34Z day: '01' ddc: - '576' degree_awarded: PhD department: - _id: NiBa file: - access_level: closed checksum: 66cb61a59943e4fb7447c6a86be5ef51 content_type: application/pdf creator: dernst date_created: 2019-08-13T08:53:52Z date_updated: 2019-08-13T08:53:52Z file_id: '6810' file_name: Tugrul_thesis_w_signature_page.pdf file_size: 3695257 relation: main_file - access_level: open_access checksum: 293e388d70563760f6b24c3e66283dda content_type: application/pdf creator: dernst date_created: 2021-02-22T11:45:20Z date_updated: 2021-02-22T11:45:20Z file_id: '9182' file_name: 2016_Tugrul_Thesis.pdf file_size: 3880811 relation: main_file success: 1 file_date_updated: 2021-02-22T11:45:20Z has_accepted_license: '1' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: '89' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria publist_id: '6229' related_material: record: - id: '1666' relation: part_of_dissertation status: public - id: '5554' relation: research_data 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: Evolution of transcriptional regulatory sequences type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2016' ... --- _id: '5553' abstract: - lang: eng text: "Genotypic, phenotypic and demographic data for 2128 wild snapdragons and 1127 open-pollinated progeny from a natural hybrid zone, collected as part of Tom Ellis' PhD thesis (submitted) February 2016).\r\n\r\nTissue samples were sent to LGC Genomics in Berlin for DNA extraction, and genotyping at 70 SNP markers by KASPR genotyping. 29 of these SNPs failed to amplify reliably, and have been removed from this dataset.\r\n\r\nOther data were retreived from an online database of this population at www.antspec.org." article_processing_charge: No author: - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Thomas full_name: Ellis, Thomas id: 3153D6D4-F248-11E8-B48F-1D18A9856A87 last_name: Ellis orcid: 0000-0002-8511-0254 citation: ama: Field D, Ellis T. Inference of mating patterns among wild snapdragons in a natural hybrid zone in 2012. 2016. doi:10.15479/AT:ISTA:37 apa: Field, D., & Ellis, T. (2016). Inference of mating patterns among wild snapdragons in a natural hybrid zone in 2012. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:37 chicago: Field, David, and Thomas Ellis. “Inference of Mating Patterns among Wild Snapdragons in a Natural Hybrid Zone in 2012.” Institute of Science and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:37. ieee: D. Field and T. Ellis, “Inference of mating patterns among wild snapdragons in a natural hybrid zone in 2012.” Institute of Science and Technology Austria, 2016. ista: Field D, Ellis T. 2016. Inference of mating patterns among wild snapdragons in a natural hybrid zone in 2012, Institute of Science and Technology Austria, 10.15479/AT:ISTA:37. mla: Field, David, and Thomas Ellis. Inference of Mating Patterns among Wild Snapdragons in a Natural Hybrid Zone in 2012. Institute of Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:37. short: D. Field, T. Ellis, (2016). contributor: - contributor_type: project_manager first_name: Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 datarep_id: '37' date_created: 2018-12-12T12:31:30Z date_published: 2016-02-19T00:00:00Z date_updated: 2024-02-21T13:51:14Z day: '19' ddc: - '576' department: - _id: NiBa doi: 10.15479/AT:ISTA:37 file: - access_level: open_access checksum: 4ae751b1fa4897fa216241f975a57313 content_type: application/zip creator: system date_created: 2018-12-12T13:03:02Z date_updated: 2020-07-14T12:47:01Z file_id: '5620' file_name: IST-2016-37-v1+1_paternity_archive.zip file_size: 132808 relation: main_file file_date_updated: 2020-07-14T12:47:01Z has_accepted_license: '1' keyword: - paternity assignment - pedigree - matting patterns - assortative mating - Antirrhinum majus - frequency-dependent selection - plant-pollinator interaction month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '1398' relation: research_paper status: public status: public title: Inference of mating patterns among wild snapdragons in a natural hybrid zone in 2012 tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2016' ... --- _id: '5551' abstract: - lang: eng text: "Data from array experiments investigating pollinator behaviour on snapdragons in controlled conditions, and their effect on plant mating. Data were collected as part of Tom Ellis' PhD thesis , submitted February 2016.\r\n\r\nWe placed a total of 36 plants in a grid inside a closed organza tent, with a single hive of commercially bred bumblebees (Bombus hortorum). We used only the yellow-flowered Antirrhinum majus striatum and the magenta-flowered Antirrhinum majus pseudomajus, at ratios of 6:36, 12:24, 18:18, 24:12 and 30:6.\r\n\r\nAfter 24 hours to learn how to deal with snapdragons, I observed pollinators foraging on plants, and recorded the transitions between plants. Thereafter seeds on plants were allowed to develops. A sample of these were grown to maturity when their flower colour could be determined, and they were scored as yellow, magenta, or hybrid." 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 citation: ama: Ellis T. Data on pollinator observations and offpsring phenotypes. 2016. doi:10.15479/AT:ISTA:35 apa: Ellis, T. (2016). Data on pollinator observations and offpsring phenotypes. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:35 chicago: Ellis, Thomas. “Data on Pollinator Observations and Offpsring Phenotypes.” Institute of Science and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:35. ieee: T. Ellis, “Data on pollinator observations and offpsring phenotypes.” Institute of Science and Technology Austria, 2016. ista: Ellis T. 2016. Data on pollinator observations and offpsring phenotypes, Institute of Science and Technology Austria, 10.15479/AT:ISTA:35. mla: Ellis, Thomas. Data on Pollinator Observations and Offpsring Phenotypes. Institute of Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:35. short: T. Ellis, (2016). contributor: - first_name: David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field - first_name: Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 datarep_id: '35' date_created: 2018-12-12T12:31:29Z date_published: 2016-02-19T00:00:00Z date_updated: 2024-02-21T13:51:27Z day: '19' department: - _id: NiBa doi: 10.15479/AT:ISTA:35 file: - access_level: open_access checksum: aa3eb85d52b110cd192aa23147c4d4f3 content_type: application/zip creator: system date_created: 2018-12-12T13:05:12Z date_updated: 2020-07-14T12:47:01Z file_id: '5640' file_name: IST-2016-35-v1+1_array_data.zip file_size: 32775 relation: main_file file_date_updated: 2020-07-14T12:47:01Z has_accepted_license: '1' month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '1398' relation: research_paper status: public status: public title: Data on pollinator observations and offpsring phenotypes tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2016' ... --- _id: '5552' abstract: - lang: eng text: "Data on pollinator visitation to wild snapdragons in a natural hybrid zone, collected as part of Tom Ellis' PhD thesis (submitted February 2016).\r\n\r\nSnapdragon flowers have a mouth-like structure which pollinators must open to access nectar. We placed 5mm cellophane tags in these mouths, which are held in place by the pressure of the flower until a pollinator visits. When she opens the flower, the tag drops out, and one can infer a visit. We surveyed plants over multiple days in 2010, 2011 and 2012.\r\n\r\nAlso included are data on phenotypic and demographic variables which may be explanatory variables for pollinator visitation." 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 citation: ama: Ellis T. Pollinator visitation data for wild Antirrhinum majus plants, with phenotypic and frequency data. 2016. doi:10.15479/AT:ISTA:36 apa: Ellis, T. (2016). Pollinator visitation data for wild Antirrhinum majus plants, with phenotypic and frequency data. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:36 chicago: Ellis, Thomas. “Pollinator Visitation Data for Wild Antirrhinum Majus Plants, with Phenotypic and Frequency Data.” Institute of Science and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:36. ieee: T. Ellis, “Pollinator visitation data for wild Antirrhinum majus plants, with phenotypic and frequency data.” Institute of Science and Technology Austria, 2016. ista: Ellis T. 2016. Pollinator visitation data for wild Antirrhinum majus plants, with phenotypic and frequency data., Institute of Science and Technology Austria, 10.15479/AT:ISTA:36. mla: Ellis, Thomas. Pollinator Visitation Data for Wild Antirrhinum Majus Plants, with Phenotypic and Frequency Data. Institute of Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:36. short: T. Ellis, (2016). contributor: - first_name: David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field - first_name: Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 datarep_id: '36' date_created: 2018-12-12T12:31:30Z date_published: 2016-02-19T00:00:00Z date_updated: 2024-02-21T13:51:40Z day: '19' department: - _id: NiBa doi: 10.15479/AT:ISTA:36 file: - access_level: open_access checksum: cbc61b523d4d475a04a737d50dc470ef content_type: application/zip creator: system date_created: 2018-12-12T13:03:07Z date_updated: 2020-07-14T12:47:01Z file_id: '5625' file_name: IST-2016-36-v1+1_tag_assay_archive.zip file_size: 44905 relation: main_file file_date_updated: 2020-07-14T12:47:01Z has_accepted_license: '1' month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '1398' relation: research_paper status: public status: public title: Pollinator visitation data for wild Antirrhinum majus plants, with phenotypic and frequency data. type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2016' ... --- _id: '5554' abstract: - lang: eng text: "The data stored here is used in Murat Tugrul's PhD thesis (Chapter 3), which is related to the evolution of bacterial RNA polymerase binding.\r\nMagdalena Steinrueck (PhD Student in Calin Guet's group at IST Austria) performed the experiments and created the data on de novo promoter evolution. Fabienne Jesse (PhD Student in Jon Bollback's group at IST Austria) performed the experiments and created the data on lac promoter evolution." article_processing_charge: No author: - first_name: Murat full_name: Tugrul, Murat id: 37C323C6-F248-11E8-B48F-1D18A9856A87 last_name: Tugrul orcid: 0000-0002-8523-0758 citation: ama: Tugrul M. Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase. 2016. doi:10.15479/AT:ISTA:43 apa: Tugrul, M. (2016). Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:43 chicago: Tugrul, Murat. “Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase.” Institute of Science and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:43. ieee: M. Tugrul, “Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase.” Institute of Science and Technology Austria, 2016. ista: Tugrul M. 2016. Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase, Institute of Science and Technology Austria, 10.15479/AT:ISTA:43. mla: Tugrul, Murat. Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase. Institute of Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:43. short: M. Tugrul, (2016). contributor: - contributor_type: researcher first_name: Magdalena id: 2C023F40-F248-11E8-B48F-1D18A9856A87 last_name: Steinrück - contributor_type: researcher first_name: Fabienne id: 4C8C26A4-F248-11E8-B48F-1D18A9856A87 last_name: Jesse datarep_id: '43' date_created: 2018-12-12T12:31:30Z date_published: 2016-05-12T00:00:00Z date_updated: 2024-02-21T13:50:34Z day: '12' department: - _id: NiBa - _id: JoBo doi: 10.15479/AT:ISTA:43 file: - access_level: open_access checksum: 1fc0a10bb7ce110fcb5e1fbe3cf0c4e2 content_type: application/zip creator: system date_created: 2018-12-12T13:03:08Z date_updated: 2020-07-14T12:47:01Z file_id: '5626' file_name: IST-2016-43-v1+1_DATA_MTugrul_PhDThesis_Chapter3.zip file_size: 1123495 relation: main_file file_date_updated: 2020-07-14T12:47:01Z has_accepted_license: '1' keyword: - RNAP binding - de novo promoter evolution - lac promoter month: '05' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '1131' relation: used_in_publication status: public status: public title: Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2016' ... --- _id: '1430' 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 their runtime 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 occurrence of new mutations is much longer than the time it takes for a new beneficial mutation to take over the population. In this situation, the population only contains copies of one genotype and evolution can be modelled as a (1+1)-type process where the probability of accepting a new genotype (improvements or worsenings) depends on the change in fitness. We present an initial runtime analysis of SSWM, quantifying its performance for various parameters and investigating differences to the (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. author: - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Dirk full_name: Sudholt, Dirk last_name: Sudholt - 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 citation: ama: 'Paixao T, Sudholt D, Heredia J, Trubenova B. First steps towards a runtime comparison of natural and artificial evolution. In: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. ACM; 2015:1455-1462. doi:10.1145/2739480.2754758' apa: 'Paixao, T., Sudholt, D., Heredia, J., & Trubenova, B. (2015). First steps towards a runtime comparison of natural and artificial evolution. In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation (pp. 1455–1462). Madrid, Spain: ACM. https://doi.org/10.1145/2739480.2754758' chicago: Paixao, Tiago, Dirk Sudholt, Jorge Heredia, and Barbora Trubenova. “First Steps towards a Runtime Comparison of Natural and Artificial Evolution.” In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 1455–62. ACM, 2015. https://doi.org/10.1145/2739480.2754758. ieee: T. Paixao, D. Sudholt, J. Heredia, and B. Trubenova, “First steps towards a runtime comparison of natural and artificial evolution,” in Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, 2015, pp. 1455–1462. ista: 'Paixao T, Sudholt D, Heredia J, Trubenova B. 2015. First steps towards a runtime comparison of natural and artificial evolution. Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. GECCO: Genetic and evolutionary computation conference, 1455–1462.' mla: Paixao, Tiago, et al. “First Steps towards a Runtime Comparison of Natural and Artificial Evolution.” Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, ACM, 2015, pp. 1455–62, doi:10.1145/2739480.2754758. short: T. Paixao, D. Sudholt, J. Heredia, B. Trubenova, in:, Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, ACM, 2015, pp. 1455–1462. conference: end_date: 2015-07-15 location: Madrid, Spain name: 'GECCO: Genetic and evolutionary computation conference' start_date: 2015-07-11 date_created: 2018-12-11T11:51:58Z date_published: 2015-07-11T00:00:00Z date_updated: 2021-01-12T06:50:41Z day: '11' department: - _id: NiBa - _id: CaGu doi: 10.1145/2739480.2754758 ec_funded: 1 language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1504.06260 month: '07' oa: 1 oa_version: Preprint page: 1455 - 1462 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 2015 Annual Conference on Genetic and Evolutionary Computation publication_status: published publisher: ACM publist_id: '5768' quality_controlled: '1' scopus_import: 1 status: public title: First steps towards a runtime comparison of natural and artificial evolution type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2015' ... --- _id: '1519' abstract: - lang: eng text: Evolutionary biologists have an array of powerful theoretical techniques that can accurately predict changes in the genetic composition of populations. Changes in gene frequencies and genetic associations between loci can be tracked as they respond to a wide variety of evolutionary forces. However, it is often less clear how to decompose these various forces into components that accurately reflect the underlying biology. Here, we present several issues that arise in the definition and interpretation of selection and selection coefficients, focusing on insights gained through the examination of selection coefficients in multilocus notation. Using this notation, we discuss how its flexibility-which allows different biological units to be identified as targets of selection-is reflected in the interpretation of the coefficients that the notation generates. In many situations, it can be difficult to agree on whether loci can be considered to be under "direct" versus "indirect" selection, or to quantify this selection. We present arguments for what the terms direct and indirect selection might best encompass, considering a range of issues, from viability and sexual selection to kin selection. We show how multilocus notation can discriminate between direct and indirect selection, and describe when it can do so. 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: Maria full_name: Servedio, Maria last_name: Servedio citation: ama: Barton NH, Servedio M. The interpretation of selection coefficients. Evolution. 2015;69(5):1101-1112. doi:10.1111/evo.12641 apa: Barton, N. H., & Servedio, M. (2015). The interpretation of selection coefficients. Evolution. Wiley. https://doi.org/10.1111/evo.12641 chicago: Barton, Nicholas H, and Maria Servedio. “The Interpretation of Selection Coefficients.” Evolution. Wiley, 2015. https://doi.org/10.1111/evo.12641. ieee: N. H. Barton and M. Servedio, “The interpretation of selection coefficients,” Evolution, vol. 69, no. 5. Wiley, pp. 1101–1112, 2015. ista: Barton NH, Servedio M. 2015. The interpretation of selection coefficients. Evolution. 69(5), 1101–1112. mla: Barton, Nicholas H., and Maria Servedio. “The Interpretation of Selection Coefficients.” Evolution, vol. 69, no. 5, Wiley, 2015, pp. 1101–12, doi:10.1111/evo.12641. short: N.H. Barton, M. Servedio, Evolution 69 (2015) 1101–1112. date_created: 2018-12-11T11:52:29Z date_published: 2015-03-19T00:00:00Z date_updated: 2021-01-12T06:51:20Z day: '19' ddc: - '570' department: - _id: NiBa doi: 10.1111/evo.12641 ec_funded: 1 file: - access_level: open_access checksum: fd8d23f476bc194419929b72ca265c02 content_type: application/pdf creator: system date_created: 2018-12-12T10:10:34Z date_updated: 2020-07-14T12:45:00Z file_id: '4822' file_name: IST-2016-560-v1+1_Interpreting_ML_coefficients_11.2.15_App.pdf file_size: 188872 relation: main_file - access_level: open_access checksum: b774911e70044641d556e258efcb52ef content_type: application/pdf creator: system date_created: 2018-12-12T10:10:35Z date_updated: 2020-07-14T12:45:00Z file_id: '4823' file_name: IST-2016-560-v1+2_Interpreting_ML_coefficients_11.2.15_mainText.pdf file_size: 577415 relation: main_file file_date_updated: 2020-07-14T12:45:00Z has_accepted_license: '1' intvolume: ' 69' issue: '5' language: - iso: eng month: '03' oa: 1 oa_version: Submitted Version page: 1101 - 1112 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_status: published publisher: Wiley publist_id: '5656' pubrep_id: '560' quality_controlled: '1' scopus_import: 1 status: public title: The interpretation of selection coefficients type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 69 year: '2015' ... --- _id: '1542' abstract: - lang: eng text: 'The theory of population genetics and evolutionary computation have been evolving separately for nearly 30 years. Many results have been independently obtained in both fields and many others are unique to its respective field. We aim to bridge this gap by developing a unifying framework for evolutionary processes that allows both evolutionary algorithms and population genetics models to be cast in the same formal framework. The framework we present here decomposes the evolutionary process into its several components in order to facilitate the identification of similarities between different models. In particular, we propose a classification of evolutionary operators based on the defining properties of the different components. We cast several commonly used operators from both fields into this common framework. Using this, we map different evolutionary and genetic algorithms to different evolutionary regimes and identify candidates with the most potential for the translation of results between the fields. This provides a unified description of evolutionary processes and represents a stepping stone towards new tools and results to both fields. ' author: - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Golnaz full_name: Badkobeh, Golnaz last_name: Badkobeh - 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: Doğan full_name: Çörüş, Doğan last_name: Çörüş - first_name: Duccuong full_name: Dang, Duccuong last_name: Dang - first_name: Tobias full_name: Friedrich, Tobias last_name: Friedrich - first_name: Per full_name: Lehre, Per last_name: Lehre - first_name: Dirk full_name: Sudholt, Dirk last_name: Sudholt - first_name: Andrew full_name: Sutton, Andrew last_name: Sutton - 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, Badkobeh G, Barton NH, et al. Toward a unifying framework for evolutionary processes. Journal of Theoretical Biology. 2015;383:28-43. doi:10.1016/j.jtbi.2015.07.011 apa: Paixao, T., Badkobeh, G., Barton, N. H., Çörüş, D., Dang, D., Friedrich, T., … Trubenova, B. (2015). Toward a unifying framework for evolutionary processes. Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.07.011 chicago: Paixao, Tiago, Golnaz Badkobeh, Nicholas H Barton, Doğan Çörüş, Duccuong Dang, Tobias Friedrich, Per Lehre, Dirk Sudholt, Andrew Sutton, and Barbora Trubenova. “Toward a Unifying Framework for Evolutionary Processes.” Journal of Theoretical Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.07.011. ieee: T. Paixao et al., “Toward a unifying framework for evolutionary processes,” Journal of Theoretical Biology, vol. 383. Elsevier, pp. 28–43, 2015. ista: Paixao T, Badkobeh G, Barton NH, Çörüş D, Dang D, Friedrich T, Lehre P, Sudholt D, Sutton A, Trubenova B. 2015. Toward a unifying framework for evolutionary processes. Journal of Theoretical Biology. 383, 28–43. mla: Paixao, Tiago, et al. “Toward a Unifying Framework for Evolutionary Processes.” Journal of Theoretical Biology, vol. 383, Elsevier, 2015, pp. 28–43, doi:10.1016/j.jtbi.2015.07.011. short: T. Paixao, G. Badkobeh, N.H. Barton, D. Çörüş, D. Dang, T. Friedrich, P. Lehre, D. Sudholt, A. Sutton, B. Trubenova, Journal of Theoretical Biology 383 (2015) 28–43. date_created: 2018-12-11T11:52:37Z date_published: 2015-10-21T00:00:00Z date_updated: 2021-01-12T06:51:29Z day: '21' ddc: - '570' department: - _id: NiBa - _id: CaGu doi: 10.1016/j.jtbi.2015.07.011 ec_funded: 1 file: - access_level: open_access checksum: 33b60ecfea60764756a9ee9df5eb65ca content_type: application/pdf creator: system date_created: 2018-12-12T10:16:53Z date_updated: 2020-07-14T12:45:01Z file_id: '5244' file_name: IST-2016-483-v1+1_1-s2.0-S0022519315003409-main.pdf file_size: 595307 relation: main_file file_date_updated: 2020-07-14T12:45:01Z has_accepted_license: '1' intvolume: ' 383' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '10' oa: 1 oa_version: Published Version page: 28 - 43 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: ' Journal of Theoretical Biology' publication_status: published publisher: Elsevier publist_id: '5629' pubrep_id: '483' quality_controlled: '1' scopus_import: 1 status: public title: Toward a unifying framework for evolutionary processes 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 383 year: '2015' ... --- _id: '1699' abstract: - lang: eng text: By hybridization and backcrossing, alleles can surmount species boundaries and be incorporated into the genome of a related species. This introgression of genes is of particular evolutionary relevance if it involves the transfer of adaptations between populations. However, any beneficial allele will typically be associated with other alien alleles that are often deleterious and hamper the introgression process. In order to describe the introgression of an adaptive allele, we set up a stochastic model with an explicit genetic makeup of linked and unlinked deleterious alleles. Based on the theory of reducible multitype branching processes, we derive a recursive expression for the establishment probability of the beneficial allele after a single hybridization event. We furthermore study the probability that slightly deleterious alleles hitchhike to fixation. The key to the analysis is a split of the process into a stochastic phase in which the advantageous alleles establishes and a deterministic phase in which it sweeps to fixation. We thereafter apply the theory to a set of biologically relevant scenarios such as introgression in the presence of many unlinked or few closely linked deleterious alleles. A comparison to computer simulations shows that the approximations work well over a large parameter range. acknowledgement: This work was made possible with financial support by the Vienna Science and Technology Fund (WWTF), by the Deutsche Forschungsgemeinschaft (DFG), Research Unit 1078 Natural selection in structured populations, by the Austrian Science Fund (FWF) via funding for the Vienna Graduate School for Population Genetics, and by a “For Women in Science” fellowship (L’Oréal Österreich in cooperation with the Austrian Commission for UNESCO and the Austrian Academy of Sciences with financial support from the Federal Ministry for Science and Research Austria). author: - first_name: Hildegard full_name: Uecker, Hildegard id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87 last_name: Uecker orcid: 0000-0001-9435-2813 - first_name: Derek full_name: Setter, Derek last_name: Setter - first_name: Joachim full_name: Hermisson, Joachim last_name: Hermisson citation: ama: Uecker H, Setter D, Hermisson J. Adaptive gene introgression after secondary contact. Journal of Mathematical Biology. 2015;70(7):1523-1580. doi:10.1007/s00285-014-0802-y apa: Uecker, H., Setter, D., & Hermisson, J. (2015). Adaptive gene introgression after secondary contact. Journal of Mathematical Biology. Springer. https://doi.org/10.1007/s00285-014-0802-y chicago: Uecker, Hildegard, Derek Setter, and Joachim Hermisson. “Adaptive Gene Introgression after Secondary Contact.” Journal of Mathematical Biology. Springer, 2015. https://doi.org/10.1007/s00285-014-0802-y. ieee: H. Uecker, D. Setter, and J. Hermisson, “Adaptive gene introgression after secondary contact,” Journal of Mathematical Biology, vol. 70, no. 7. Springer, pp. 1523–1580, 2015. ista: Uecker H, Setter D, Hermisson J. 2015. Adaptive gene introgression after secondary contact. Journal of Mathematical Biology. 70(7), 1523–1580. mla: Uecker, Hildegard, et al. “Adaptive Gene Introgression after Secondary Contact.” Journal of Mathematical Biology, vol. 70, no. 7, Springer, 2015, pp. 1523–80, doi:10.1007/s00285-014-0802-y. short: H. Uecker, D. Setter, J. Hermisson, Journal of Mathematical Biology 70 (2015) 1523–1580. date_created: 2018-12-11T11:53:32Z date_published: 2015-06-01T00:00:00Z date_updated: 2023-02-23T10:10:36Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1007/s00285-014-0802-y file: - access_level: open_access checksum: 00e3a67bda05d4cc165b3a48b41ef9ad content_type: application/pdf creator: system date_created: 2018-12-12T10:14:27Z date_updated: 2020-07-14T12:45:12Z file_id: '5079' file_name: IST-2016-458-v1+1_s00285-014-0802-y.pdf file_size: 1321527 relation: main_file file_date_updated: 2020-07-14T12:45:12Z has_accepted_license: '1' intvolume: ' 70' issue: '7' language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: 1523 - 1580 project: - _id: 25B67606-B435-11E9-9278-68D0E5697425 name: L'OREAL Fellowship publication: Journal of Mathematical Biology publication_status: published publisher: Springer publist_id: '5442' pubrep_id: '458' quality_controlled: '1' scopus_import: 1 status: public title: Adaptive gene introgression after secondary contact 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: 70 year: '2015' ... --- _id: '1703' abstract: - lang: eng text: Vegetation clearing and land-use change have depleted many natural plant communities to the point where restoration is required. A major impediment to the success of rebuilding complex vegetation communities is having regular access to sufficient quantities of high-quality seed. Seed-production areas (SPAs) can help generate this seed, but these must be underpinned by a broad genetic base to maximise the evolutionary potential of restored populations. However, genetic bottlenecks can occur at the collection, establishment and production stages in SPAs, requiring genetic evaluation. This is especially relevant for species that may take many years before a return on SPA investment is realised. Two recently established yellow box (Eucalyptus melliodora A.Cunn. ex Schauer, Myrtaceae) SPAs were evaluated to determine whether genetic bottlenecks had occurred between seed collection and SPA establishment. No evidence was found to suggest that a significant loss of genetic diversity had occurred at this stage, although there was a significant difference in diversity between the two SPAs. Complex population genetic structure was also observed in the seed used to source the SPAs, with up to eight groups identified. Plant survival in the SPAs was influenced by seed collection location but not by SPA location and was not associated with genetic diversity. There were also no associations between genetic diversity and plant growth. These data highlighted the importance of chance events when establishing SPAs and indicated that the two yellow box SPAs are likely to provide genetically diverse seed sources for future restoration projects, especially by pooling seed from both SPAs. author: - first_name: Linda full_name: Broadhurst, Linda last_name: Broadhurst - first_name: Graham full_name: Fifield, Graham last_name: Fifield - first_name: Bindi full_name: Vanzella, Bindi last_name: Vanzella - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 citation: ama: Broadhurst L, Fifield G, Vanzella B, Pickup M. An evaluation of the genetic structure of seed sources and the maintenance of genetic diversity during establishment of two yellow box (Eucalyptus melliodora) seed-production areas. Australian Journal of Botany. 2015;63(5):455-466. doi:10.1071/BT15023 apa: Broadhurst, L., Fifield, G., Vanzella, B., & Pickup, M. (2015). An evaluation of the genetic structure of seed sources and the maintenance of genetic diversity during establishment of two yellow box (Eucalyptus melliodora) seed-production areas. Australian Journal of Botany. CSIRO. https://doi.org/10.1071/BT15023 chicago: Broadhurst, Linda, Graham Fifield, Bindi Vanzella, and Melinda Pickup. “An Evaluation of the Genetic Structure of Seed Sources and the Maintenance of Genetic Diversity during Establishment of Two Yellow Box (Eucalyptus Melliodora) Seed-Production Areas.” Australian Journal of Botany. CSIRO, 2015. https://doi.org/10.1071/BT15023. ieee: L. Broadhurst, G. Fifield, B. Vanzella, and M. Pickup, “An evaluation of the genetic structure of seed sources and the maintenance of genetic diversity during establishment of two yellow box (Eucalyptus melliodora) seed-production areas,” Australian Journal of Botany, vol. 63, no. 5. CSIRO, pp. 455–466, 2015. ista: Broadhurst L, Fifield G, Vanzella B, Pickup M. 2015. An evaluation of the genetic structure of seed sources and the maintenance of genetic diversity during establishment of two yellow box (Eucalyptus melliodora) seed-production areas. Australian Journal of Botany. 63(5), 455–466. mla: Broadhurst, Linda, et al. “An Evaluation of the Genetic Structure of Seed Sources and the Maintenance of Genetic Diversity during Establishment of Two Yellow Box (Eucalyptus Melliodora) Seed-Production Areas.” Australian Journal of Botany, vol. 63, no. 5, CSIRO, 2015, pp. 455–66, doi:10.1071/BT15023. short: L. Broadhurst, G. Fifield, B. Vanzella, M. Pickup, Australian Journal of Botany 63 (2015) 455–466. date_created: 2018-12-11T11:53:34Z date_published: 2015-05-26T00:00:00Z date_updated: 2021-01-12T06:52:38Z day: '26' department: - _id: NiBa doi: 10.1071/BT15023 intvolume: ' 63' issue: '5' language: - iso: eng month: '05' oa_version: None page: 455 - 466 publication: Australian Journal of Botany publication_status: published publisher: CSIRO publist_id: '5434' quality_controlled: '1' scopus_import: 1 status: public title: An evaluation of the genetic structure of seed sources and the maintenance of genetic diversity during establishment of two yellow box (Eucalyptus melliodora) seed-production areas type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 63 year: '2015' ... --- _id: '1818' abstract: - lang: eng text: 'Why do species not adapt to ever-wider ranges of conditions, gradually expanding their ecological niche and geographic range? Gene flow across environments has two conflicting effects: although it increases genetic variation, which is a prerequisite for adaptation, gene flow may swamp adaptation to local conditions. In 1956, Haldane proposed that, when the environment varies across space, "swamping" by gene flow creates a positive feedback between low population size and maladaptation, leading to a sharp range margin. However, current deterministic theory shows that, when variance can evolve, there is no such limit. Using simple analytical tools and simulations, we show that genetic drift can generate a sharp margin to a species'' range, by reducing genetic variance below the level needed for adaptation to spatially variable conditions. Aided by separation of ecological and evolutionary timescales, the identified effective dimensionless parameters reveal a simple threshold that predicts when adaptation at the range margin fails. Two observable parameters determine the threshold: (i) the effective environmental gradient, which can be measured by the loss of fitness due to dispersal to a different environment; and (ii) the efficacy of selection relative to genetic drift. The theory predicts sharp range margins even in the absence of abrupt changes in the environment. Furthermore, it implies that gradual worsening of conditions across a species'' habitat may lead to a sudden range fragmentation, when adaptation to a wide span of conditions within a single species becomes impossible.' author: - first_name: Jitka full_name: Polechova, Jitka id: 3BBFB084-F248-11E8-B48F-1D18A9856A87 last_name: Polechova orcid: 0000-0003-0951-3112 - 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: Polechova J, Barton NH. Limits to adaptation along environmental gradients. PNAS. 2015;112(20):6401-6406. doi:10.1073/pnas.1421515112 apa: Polechova, J., & Barton, N. H. (2015). Limits to adaptation along environmental gradients. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1421515112 chicago: Polechova, Jitka, and Nicholas H Barton. “Limits to Adaptation along Environmental Gradients.” PNAS. National Academy of Sciences, 2015. https://doi.org/10.1073/pnas.1421515112. ieee: J. Polechova and N. H. Barton, “Limits to adaptation along environmental gradients,” PNAS, vol. 112, no. 20. National Academy of Sciences, pp. 6401–6406, 2015. ista: Polechova J, Barton NH. 2015. Limits to adaptation along environmental gradients. PNAS. 112(20), 6401–6406. mla: Polechova, Jitka, and Nicholas H. Barton. “Limits to Adaptation along Environmental Gradients.” PNAS, vol. 112, no. 20, National Academy of Sciences, 2015, pp. 6401–06, doi:10.1073/pnas.1421515112. short: J. Polechova, N.H. Barton, PNAS 112 (2015) 6401–6406. date_created: 2018-12-11T11:54:11Z date_published: 2015-05-19T00:00:00Z date_updated: 2021-01-12T06:53:24Z day: '19' department: - _id: NiBa doi: 10.1073/pnas.1421515112 ec_funded: 1 external_id: pmid: - '25941385' intvolume: ' 112' issue: '20' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4443383/ month: '05' oa: 1 oa_version: Submitted Version page: 6401 - 6406 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: PNAS publication_status: published publisher: National Academy of Sciences publist_id: '5288' quality_controlled: '1' scopus_import: 1 status: public title: Limits to adaptation along environmental gradients type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 112 year: '2015' ... --- _id: '1850' abstract: - lang: eng text: 'Entomopathogenic fungi are potent biocontrol agents that are widely used against insect pests, many of which are social insects. Nevertheless, theoretical investigations of their particular life history are scarce. We develop a model that takes into account the main distinguishing features between traditionally studied diseases and obligate killing pathogens, like the (biocontrol-relevant) insect-pathogenic fungi Metarhizium and Beauveria. First, obligate killing entomopathogenic fungi produce new infectious particles (conidiospores) only after host death and not yet on the living host. Second, the killing rates of entomopathogenic fungi depend strongly on the initial exposure dosage, thus we explicitly consider the pathogen load of individual hosts. Further, we make the model applicable not only to solitary host species, but also to group living species by incorporating social interactions between hosts, like the collective disease defences of insect societies. Our results identify the optimal killing rate for the pathogen that minimises its invasion threshold. Furthermore, we find that the rate of contact between hosts has an ambivalent effect: dense interaction networks between individuals are considered to facilitate disease outbreaks because of increased pathogen transmission. In social insects, this is compensated by their collective disease defences, i.e., social immunity. For the type of pathogens considered here, we show that even without social immunity, high contact rates between live individuals dilute the pathogen in the host colony and hence can reduce individual pathogen loads below disease-causing levels.' author: - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Sylvia full_name: Cremer, Sylvia id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87 last_name: Cremer orcid: 0000-0002-2193-3868 citation: ama: 'Novak S, Cremer S. Fungal disease dynamics in insect societies: Optimal killing rates and the ambivalent effect of high social interaction rates. Journal of Theoretical Biology. 2015;372(5):54-64. doi:10.1016/j.jtbi.2015.02.018' apa: 'Novak, S., & Cremer, S. (2015). Fungal disease dynamics in insect societies: Optimal killing rates and the ambivalent effect of high social interaction rates. Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.02.018' chicago: 'Novak, Sebastian, and Sylvia Cremer. “Fungal Disease Dynamics in Insect Societies: Optimal Killing Rates and the Ambivalent Effect of High Social Interaction Rates.” Journal of Theoretical Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.02.018.' ieee: 'S. Novak and S. Cremer, “Fungal disease dynamics in insect societies: Optimal killing rates and the ambivalent effect of high social interaction rates,” Journal of Theoretical Biology, vol. 372, no. 5. Elsevier, pp. 54–64, 2015.' ista: 'Novak S, Cremer S. 2015. Fungal disease dynamics in insect societies: Optimal killing rates and the ambivalent effect of high social interaction rates. Journal of Theoretical Biology. 372(5), 54–64.' mla: 'Novak, Sebastian, and Sylvia Cremer. “Fungal Disease Dynamics in Insect Societies: Optimal Killing Rates and the Ambivalent Effect of High Social Interaction Rates.” Journal of Theoretical Biology, vol. 372, no. 5, Elsevier, 2015, pp. 54–64, doi:10.1016/j.jtbi.2015.02.018.' short: S. Novak, S. Cremer, Journal of Theoretical Biology 372 (2015) 54–64. date_created: 2018-12-11T11:54:21Z date_published: 2015-05-07T00:00:00Z date_updated: 2021-01-12T06:53:37Z day: '07' ddc: - '576' department: - _id: NiBa - _id: SyCr doi: 10.1016/j.jtbi.2015.02.018 ec_funded: 1 file: - access_level: open_access checksum: 3c0dcacc900bc45cc65a453dfda4ca43 content_type: application/pdf creator: system date_created: 2018-12-12T10:18:07Z date_updated: 2020-07-14T12:45:19Z file_id: '5326' file_name: IST-2015-329-v1+1_manuscript.pdf file_size: 1546914 relation: main_file file_date_updated: 2020-07-14T12:45:19Z has_accepted_license: '1' intvolume: ' 372' issue: '5' language: - iso: eng month: '05' oa: 1 oa_version: Submitted Version page: 54 - 64 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 25DC711C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '243071' name: 'Social Vaccination in Ant Colonies: from Individual Mechanisms to Society Effects' publication: Journal of Theoretical Biology publication_status: published publisher: Elsevier publist_id: '5251' pubrep_id: '329' quality_controlled: '1' scopus_import: 1 status: public title: 'Fungal disease dynamics in insect societies: Optimal killing rates and the ambivalent effect of high social interaction rates' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 372 year: '2015' ... --- _id: '1851' abstract: - lang: eng text: We consider mating strategies for females who search for males sequentially during a season of limited length. We show that the best strategy rejects a given male type if encountered before a time-threshold but accepts him after. For frequency-independent benefits, we obtain the optimal time-thresholds explicitly for both discrete and continuous distributions of males, and allow for mistakes being made in assessing the correct male type. When the benefits are indirect (genes for the offspring) and the population is under frequency-dependent ecological selection, the benefits depend on the mating strategy of other females as well. This case is particularly relevant to speciation models that seek to explore the stability of reproductive isolation by assortative mating under frequency-dependent ecological selection. We show that the indirect benefits are to be quantified by the reproductive values of couples, and describe how the evolutionarily stable time-thresholds can be found. We conclude with an example based on the Levene model, in which we analyze the evolutionarily stable assortative mating strategies and the strength of reproductive isolation provided by them. article_processing_charge: No article_type: original author: - first_name: Tadeas full_name: Priklopil, Tadeas id: 3C869AA0-F248-11E8-B48F-1D18A9856A87 last_name: Priklopil - first_name: Eva full_name: Kisdi, Eva last_name: Kisdi - first_name: Mats full_name: Gyllenberg, Mats last_name: Gyllenberg citation: ama: Priklopil T, Kisdi E, Gyllenberg M. Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating. Evolution. 2015;69(4):1015-1026. doi:10.1111/evo.12618 apa: Priklopil, T., Kisdi, E., & Gyllenberg, M. (2015). Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating. Evolution. Wiley. https://doi.org/10.1111/evo.12618 chicago: Priklopil, Tadeas, Eva Kisdi, and Mats Gyllenberg. “Evolutionarily Stable Mating Decisions for Sequentially Searching Females and the Stability of Reproductive Isolation by Assortative Mating.” Evolution. Wiley, 2015. https://doi.org/10.1111/evo.12618. ieee: T. Priklopil, E. Kisdi, and M. Gyllenberg, “Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating,” Evolution, vol. 69, no. 4. Wiley, pp. 1015–1026, 2015. ista: Priklopil T, Kisdi E, Gyllenberg M. 2015. Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating. Evolution. 69(4), 1015–1026. mla: Priklopil, Tadeas, et al. “Evolutionarily Stable Mating Decisions for Sequentially Searching Females and the Stability of Reproductive Isolation by Assortative Mating.” Evolution, vol. 69, no. 4, Wiley, 2015, pp. 1015–26, doi:10.1111/evo.12618. short: T. Priklopil, E. Kisdi, M. Gyllenberg, Evolution 69 (2015) 1015–1026. date_created: 2018-12-11T11:54:21Z date_published: 2015-02-09T00:00:00Z date_updated: 2022-06-07T10:52:37Z day: '09' ddc: - '570' department: - _id: NiBa - _id: KrCh doi: 10.1111/evo.12618 ec_funded: 1 external_id: pmid: - '25662095' file: - access_level: open_access checksum: 1e8be0b1d7598a78cd2623d8ee8e7798 content_type: application/pdf creator: dernst date_created: 2020-05-15T09:05:34Z date_updated: 2020-07-14T12:45:19Z file_id: '7855' file_name: 2015_Evolution_Priklopil.pdf file_size: 967214 relation: main_file file_date_updated: 2020-07-14T12:45:19Z has_accepted_license: '1' intvolume: ' 69' issue: '4' language: - iso: eng month: '02' oa: 1 oa_version: Submitted Version page: 1015 - 1026 pmid: 1 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Evolution publication_identifier: eissn: - 1558-5646 issn: - 0014-3820 publication_status: published publisher: Wiley publist_id: '5249' quality_controlled: '1' scopus_import: '1' status: public title: Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 69 year: '2015' ... --- _id: '1883' abstract: - lang: eng text: "We introduce a one-parametric family of tree growth models, in which branching probabilities decrease with branch age τ as τ-α. Depending on the exponent α, the scaling of tree depth with tree size n displays a transition between the logarithmic scaling of random trees and an algebraic growth. At the transition (α=1) tree depth grows as (logn)2. This anomalous scaling is in good agreement with the trend observed in evolution of biological species, thus providing a theoretical support for age-dependent speciation and associating it to the occurrence of a critical point.\r\n" article_number: '022803' article_processing_charge: No article_type: original author: - first_name: Stephanie full_name: Keller-Schmidt, Stephanie last_name: Keller-Schmidt - first_name: Murat full_name: Tugrul, Murat id: 37C323C6-F248-11E8-B48F-1D18A9856A87 last_name: Tugrul orcid: 0000-0002-8523-0758 - first_name: Víctor full_name: Eguíluz, Víctor last_name: Eguíluz - first_name: Emilio full_name: Hernandez Garcia, Emilio last_name: Hernandez Garcia - first_name: Konstantin full_name: Klemm, Konstantin last_name: Klemm citation: ama: Keller-Schmidt S, Tugrul M, Eguíluz V, Hernandez Garcia E, Klemm K. Anomalous scaling in an age-dependent branching model. Physical Review E Statistical Nonlinear and Soft Matter Physics. 2015;91(2). doi:10.1103/PhysRevE.91.022803 apa: Keller-Schmidt, S., Tugrul, M., Eguíluz, V., Hernandez Garcia, E., & Klemm, K. (2015). Anomalous scaling in an age-dependent branching model. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.91.022803 chicago: Keller-Schmidt, Stephanie, Murat Tugrul, Víctor Eguíluz, Emilio Hernandez Garcia, and Konstantin Klemm. “Anomalous Scaling in an Age-Dependent Branching Model.” Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics, 2015. https://doi.org/10.1103/PhysRevE.91.022803. ieee: S. Keller-Schmidt, M. Tugrul, V. Eguíluz, E. Hernandez Garcia, and K. Klemm, “Anomalous scaling in an age-dependent branching model,” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 91, no. 2. American Institute of Physics, 2015. ista: Keller-Schmidt S, Tugrul M, Eguíluz V, Hernandez Garcia E, Klemm K. 2015. Anomalous scaling in an age-dependent branching model. Physical Review E Statistical Nonlinear and Soft Matter Physics. 91(2), 022803. mla: Keller-Schmidt, Stephanie, et al. “Anomalous Scaling in an Age-Dependent Branching Model.” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 91, no. 2, 022803, American Institute of Physics, 2015, doi:10.1103/PhysRevE.91.022803. short: S. Keller-Schmidt, M. Tugrul, V. Eguíluz, E. Hernandez Garcia, K. Klemm, Physical Review E Statistical Nonlinear and Soft Matter Physics 91 (2015). date_created: 2018-12-11T11:54:31Z date_published: 2015-02-02T00:00:00Z date_updated: 2021-01-12T06:53:49Z day: '02' department: - _id: NiBa doi: 10.1103/PhysRevE.91.022803 external_id: arxiv: - '1012.3298' intvolume: ' 91' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1012.3298 month: '02' oa: 1 oa_version: Preprint publication: Physical Review E Statistical Nonlinear and Soft Matter Physics publication_status: published publisher: American Institute of Physics publist_id: '5213' quality_controlled: '1' scopus_import: 1 status: public title: Anomalous scaling in an age-dependent branching model type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 91 year: '2015' ... --- _id: '1809' abstract: - lang: eng text: 'Background: Indirect genetic effects (IGEs) occur when genes expressed in one individual alter the expression of traits in social partners. Previous studies focused on the evolutionary consequences and evolutionary dynamics of IGEs, using equilibrium solutions to predict phenotypes in subsequent generations. However, whether or not such steady states may be reached may depend on the dynamics of interactions themselves. Results: In our study, we focus on the dynamics of social interactions and indirect genetic effects and investigate how they modify phenotypes over time. Unlike previous IGE studies, we do not analyse evolutionary dynamics; rather we consider within-individual phenotypic changes, also referred to as phenotypic plasticity. We analyse iterative interactions, when individuals interact in a series of discontinuous events, and investigate the stability of steady state solutions and the dependence on model parameters, such as population size, strength, and the nature of interactions. We show that for interactions where a feedback loop occurs, the possible parameter space of interaction strength is fairly limited, affecting the evolutionary consequences of IGEs. We discuss the implications of our results for current IGE model predictions and their limitations.' author: - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Reinmar full_name: Hager, Reinmar last_name: Hager citation: ama: Trubenova B, Novak S, Hager R. Indirect genetic effects and the dynamics of social interactions. PLoS One. 2015;10(5). doi:10.1371/journal.pone.0126907 apa: Trubenova, B., Novak, S., & Hager, R. (2015). Indirect genetic effects and the dynamics of social interactions. PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0126907 chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Indirect Genetic Effects and the Dynamics of Social Interactions.” PLoS One. Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0126907. ieee: B. Trubenova, S. Novak, and R. Hager, “Indirect genetic effects and the dynamics of social interactions,” PLoS One, vol. 10, no. 5. Public Library of Science, 2015. ista: Trubenova B, Novak S, Hager R. 2015. Indirect genetic effects and the dynamics of social interactions. PLoS One. 10(5). mla: Trubenova, Barbora, et al. “Indirect Genetic Effects and the Dynamics of Social Interactions.” PLoS One, vol. 10, no. 5, Public Library of Science, 2015, doi:10.1371/journal.pone.0126907. short: B. Trubenova, S. Novak, R. Hager, PLoS One 10 (2015). date_created: 2018-12-11T11:54:07Z date_published: 2015-05-18T00:00:00Z date_updated: 2023-02-23T14:07:48Z day: '18' ddc: - '570' - '576' department: - _id: NiBa doi: 10.1371/journal.pone.0126907 file: - access_level: open_access checksum: d3a4a58ef4bd3b3e2f32b7fd7af4a743 content_type: application/pdf creator: system date_created: 2018-12-12T10:09:07Z date_updated: 2020-07-14T12:45:17Z file_id: '4730' file_name: IST-2016-453-v1+1_journal.pone.0126907.pdf file_size: 2748982 relation: main_file file_date_updated: 2020-07-14T12:45:17Z has_accepted_license: '1' intvolume: ' 10' issue: '5' language: - iso: eng month: '05' oa: 1 oa_version: Published Version publication: PLoS One publication_status: published publisher: Public Library of Science publist_id: '5299' pubrep_id: '453' quality_controlled: '1' related_material: record: - id: '9715' relation: research_data status: public - id: '9772' relation: research_data status: public scopus_import: 1 status: public title: Indirect genetic effects and the dynamics of social interactions 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: 10 year: '2015' ... --- _id: '9772' article_processing_charge: No author: - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Reinmar full_name: Hager, Reinmar last_name: Hager citation: ama: Trubenova B, Novak S, Hager R. Description of the agent based simulations. 2015. doi:10.1371/journal.pone.0126907.s003 apa: Trubenova, B., Novak, S., & Hager, R. (2015). Description of the agent based simulations. Public Library of Science. https://doi.org/10.1371/journal.pone.0126907.s003 chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Description of the Agent Based Simulations.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.s003. ieee: B. Trubenova, S. Novak, and R. Hager, “Description of the agent based simulations.” Public Library of Science, 2015. ista: Trubenova B, Novak S, Hager R. 2015. Description of the agent based simulations, Public Library of Science, 10.1371/journal.pone.0126907.s003. mla: Trubenova, Barbora, et al. Description of the Agent Based Simulations. Public Library of Science, 2015, doi:10.1371/journal.pone.0126907.s003. short: B. Trubenova, S. Novak, R. Hager, (2015). date_created: 2021-08-05T12:55:20Z date_published: 2015-05-18T00:00:00Z date_updated: 2023-02-23T10:15:25Z day: '18' department: - _id: NiBa doi: 10.1371/journal.pone.0126907.s003 month: '05' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '1809' relation: used_in_publication status: public status: public title: Description of the agent based simulations type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2015' ... --- _id: '9712' article_processing_charge: No author: - first_name: Murat full_name: Tugrul, Murat id: 37C323C6-F248-11E8-B48F-1D18A9856A87 last_name: Tugrul orcid: 0000-0002-8523-0758 - 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: Gašper full_name: Tkačik, Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: 0000-0002-6699-1455 citation: ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Other fitness models for comparison & for interacting TFBSs. 2015. doi:10.1371/journal.pgen.1005639.s001 apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Other fitness models for comparison & for interacting TFBSs. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005639.s001 chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Other Fitness Models for Comparison & for Interacting TFBSs.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pgen.1005639.s001. ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Other fitness models for comparison & for interacting TFBSs.” Public Library of Science, 2015. ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Other fitness models for comparison & for interacting TFBSs, Public Library of Science, 10.1371/journal.pgen.1005639.s001. mla: Tugrul, Murat, et al. Other Fitness Models for Comparison & for Interacting TFBSs. Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.s001. short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, (2015). date_created: 2021-07-23T12:00:37Z date_published: 2015-11-06T00:00:00Z date_updated: 2023-02-23T10:09:08Z day: '06' department: - _id: NiBa - _id: CaGu - _id: GaTk doi: 10.1371/journal.pgen.1005639.s001 month: '11' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '1666' relation: used_in_publication status: public status: public title: Other fitness models for comparison & for interacting TFBSs type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2015' ... --- _id: '9715' article_processing_charge: No author: - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Reinmar full_name: Hager, Reinmar last_name: Hager citation: ama: Trubenova B, Novak S, Hager R. Mathematical inference of the results. 2015. doi:10.1371/journal.pone.0126907.s001 apa: Trubenova, B., Novak, S., & Hager, R. (2015). Mathematical inference of the results. Public Library of Science. https://doi.org/10.1371/journal.pone.0126907.s001 chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Mathematical Inference of the Results.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.s001. ieee: B. Trubenova, S. Novak, and R. Hager, “Mathematical inference of the results.” Public Library of Science, 2015. ista: Trubenova B, Novak S, Hager R. 2015. Mathematical inference of the results, Public Library of Science, 10.1371/journal.pone.0126907.s001. mla: Trubenova, Barbora, et al. Mathematical Inference of the Results. Public Library of Science, 2015, doi:10.1371/journal.pone.0126907.s001. short: B. Trubenova, S. Novak, R. Hager, (2015). date_created: 2021-07-23T12:11:30Z date_published: 2015-05-18T00:00:00Z date_updated: 2023-02-23T10:15:25Z day: '18' department: - _id: NiBa doi: 10.1371/journal.pone.0126907.s001 month: '05' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '1809' relation: used_in_publication status: public status: public title: Mathematical inference of the results type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2015' ... --- _id: '1666' abstract: - lang: eng text: Evolution of gene regulation is crucial for our understanding of the phenotypic differences between species, populations and individuals. Sequence-specific binding of transcription factors to the regulatory regions on the DNA is a key regulatory mechanism that determines gene expression and hence heritable phenotypic variation. We use a biophysical model for directional selection on gene expression to estimate the rates of gain and loss of transcription factor binding sites (TFBS) in finite populations under both point and insertion/deletion mutations. Our results show that these rates are typically slow for a single TFBS in an isolated DNA region, unless the selection is extremely strong. These rates decrease drastically with increasing TFBS length or increasingly specific protein-DNA interactions, making the evolution of sites longer than ∼ 10 bp unlikely on typical eukaryotic speciation timescales. Similarly, evolution converges to the stationary distribution of binding sequences very slowly, making the equilibrium assumption questionable. The availability of longer regulatory sequences in which multiple binding sites can evolve simultaneously, the presence of “pre-sites” or partially decayed old sites in the initial sequence, and biophysical cooperativity between transcription factors, can all facilitate gain of TFBS and reconcile theoretical calculations with timescales inferred from comparative genomics. author: - first_name: Murat full_name: Tugrul, Murat id: 37C323C6-F248-11E8-B48F-1D18A9856A87 last_name: Tugrul orcid: 0000-0002-8523-0758 - 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: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 citation: ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Dynamics of transcription factor binding site evolution. PLoS Genetics. 2015;11(11). doi:10.1371/journal.pgen.1005639 apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Dynamics of transcription factor binding site evolution. PLoS Genetics. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005639 chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Dynamics of Transcription Factor Binding Site Evolution.” PLoS Genetics. Public Library of Science, 2015. https://doi.org/10.1371/journal.pgen.1005639. ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Dynamics of transcription factor binding site evolution,” PLoS Genetics, vol. 11, no. 11. Public Library of Science, 2015. ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Dynamics of transcription factor binding site evolution. PLoS Genetics. 11(11). mla: Tugrul, Murat, et al. “Dynamics of Transcription Factor Binding Site Evolution.” PLoS Genetics, vol. 11, no. 11, Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639. short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, PLoS Genetics 11 (2015). date_created: 2018-12-11T11:53:21Z date_published: 2015-11-06T00:00:00Z date_updated: 2023-09-07T11:53:49Z day: '06' ddc: - '576' department: - _id: NiBa - _id: CaGu - _id: GaTk doi: 10.1371/journal.pgen.1005639 ec_funded: 1 file: - access_level: open_access checksum: a4e72fca5ccf40ddacf4d08c8e46b554 content_type: application/pdf creator: system date_created: 2018-12-12T10:07:58Z date_updated: 2020-07-14T12:45:10Z file_id: '4657' file_name: IST-2016-463-v1+1_journal.pgen.1005639.pdf file_size: 2580778 relation: main_file file_date_updated: 2020-07-14T12:45:10Z has_accepted_license: '1' intvolume: ' 11' issue: '11' language: - iso: eng month: '11' 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 publication: PLoS Genetics publication_status: published publisher: Public Library of Science publist_id: '5483' pubrep_id: '463' quality_controlled: '1' related_material: record: - id: '9712' relation: research_data status: public - id: '1131' relation: dissertation_contains status: public scopus_import: 1 status: public title: Dynamics of transcription factor binding site 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 11 year: '2015' ... --- _id: '1835' 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 logics. 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. acknowledgement: "SNSF Early Postdoc.Mobility Fellowship, the grant number P2EZP2 148797.\r\n" alternative_title: - LNCS 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 gene regulatory networks. 2015;9035:469-483. doi:10.1007/978-3-662-46681-0_47 apa: 'Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., & Petrov, T. (2015). Model checking gene regulatory networks. Presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, London, United Kingdom: Springer. https://doi.org/10.1007/978-3-662-46681-0_47' chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago Paixao, and Tatjana Petrov. “Model Checking Gene Regulatory Networks.” Lecture Notes in Computer Science. Springer, 2015. https://doi.org/10.1007/978-3-662-46681-0_47. ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov, “Model checking gene regulatory networks,” vol. 9035. Springer, pp. 469–483, 2015. ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2015. Model checking gene regulatory networks. 9035, 469–483. mla: Giacobbe, Mirco, et al. Model Checking Gene Regulatory Networks. Vol. 9035, Springer, 2015, pp. 469–83, doi:10.1007/978-3-662-46681-0_47. short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, 9035 (2015) 469–483. conference: end_date: 2015-04-18 location: London, United Kingdom name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems' start_date: 2015-04-11 date_created: 2018-12-11T11:54:16Z date_published: 2015-04-01T00:00:00Z date_updated: 2023-09-20T11:06:03Z day: '01' department: - _id: ToHe - _id: CaGu - _id: NiBa doi: 10.1007/978-3-662-46681-0_47 ec_funded: 1 intvolume: ' 9035' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1410.7704 month: '04' oa: 1 oa_version: Preprint page: 469 - 483 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: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication_status: published publisher: Springer publist_id: '5267' quality_controlled: '1' related_material: record: - id: '1351' relation: later_version status: public scopus_import: 1 series_title: Lecture Notes in Computer Science status: public title: Model checking gene regulatory networks type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 9035 year: '2015' ... --- _id: '1681' abstract: - lang: eng text: In many social situations, individuals endeavor to find the single best possible partner, but are constrained to evaluate the candidates in sequence. Examples include the search for mates, economic partnerships, or any other long-term ties where the choice to interact involves two parties. Surprisingly, however, previous theoretical work on mutual choice problems focuses on finding equilibrium solutions, while ignoring the evolutionary dynamics of decisions. Empirically, this may be of high importance, as some equilibrium solutions can never be reached unless the population undergoes radical changes and a sufficient number of individuals change their decisions simultaneously. To address this question, we apply a mutual choice sequential search problem in an evolutionary game-theoretical model that allows one to find solutions that are favored by evolution. As an example, we study the influence of sequential search on the evolutionary dynamics of cooperation. For this, we focus on the classic snowdrift game and the prisoner’s dilemma game. article_processing_charge: No article_type: original author: - first_name: Tadeas full_name: Priklopil, Tadeas id: 3C869AA0-F248-11E8-B48F-1D18A9856A87 last_name: Priklopil - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X citation: ama: Priklopil T, Chatterjee K. Evolution of decisions in population games with sequentially searching individuals. Games. 2015;6(4):413-437. doi:10.3390/g6040413 apa: Priklopil, T., & Chatterjee, K. (2015). Evolution of decisions in population games with sequentially searching individuals. Games. MDPI. https://doi.org/10.3390/g6040413 chicago: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in Population Games with Sequentially Searching Individuals.” Games. MDPI, 2015. https://doi.org/10.3390/g6040413. ieee: T. Priklopil and K. Chatterjee, “Evolution of decisions in population games with sequentially searching individuals,” Games, vol. 6, no. 4. MDPI, pp. 413–437, 2015. ista: Priklopil T, Chatterjee K. 2015. Evolution of decisions in population games with sequentially searching individuals. Games. 6(4), 413–437. mla: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in Population Games with Sequentially Searching Individuals.” Games, vol. 6, no. 4, MDPI, 2015, pp. 413–37, doi:10.3390/g6040413. short: T. Priklopil, K. Chatterjee, Games 6 (2015) 413–437. date_created: 2018-12-11T11:53:26Z date_published: 2015-09-29T00:00:00Z date_updated: 2023-10-17T11:42:52Z day: '29' ddc: - '000' department: - _id: NiBa - _id: KrCh doi: 10.3390/g6040413 ec_funded: 1 file: - access_level: open_access checksum: 912e1acbaf201100f447a43e4d5958bd content_type: application/pdf creator: system date_created: 2018-12-12T10:12:41Z date_updated: 2020-07-14T12:45:12Z file_id: '4959' file_name: IST-2016-448-v1+1_games-06-00413.pdf file_size: 518832 relation: main_file file_date_updated: 2020-07-14T12:45:12Z has_accepted_license: '1' intvolume: ' 6' issue: '4' language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: 413 - 437 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' publication: Games publication_identifier: eissn: - 2073-4336 publication_status: published publisher: MDPI publist_id: '5467' pubrep_id: '448' quality_controlled: '1' scopus_import: '1' status: public title: Evolution of decisions in population games with sequentially searching individuals 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: '2015' ... --- _id: '1896' abstract: - lang: eng text: 'Biopolymer length regulation is a complex process that involves a large number of biological, chemical, and physical subprocesses acting simultaneously across multiple spatial and temporal scales. An illustrative example important for genomic stability is the length regulation of telomeres - nucleoprotein structures at the ends of linear chromosomes consisting of tandemly repeated DNA sequences and a specialized set of proteins. Maintenance of telomeres is often facilitated by the enzyme telomerase but, particularly in telomerase-free systems, the maintenance of chromosomal termini depends on alternative lengthening of telomeres (ALT) mechanisms mediated by recombination. Various linear and circular DNA structures were identified to participate in ALT, however, dynamics of the whole process is still poorly understood. We propose a chemical kinetics model of ALT with kinetic rates systematically derived from the biophysics of DNA diffusion and looping. The reaction system is reduced to a coagulation-fragmentation system by quasi-steady-state approximation. The detailed treatment of kinetic rates yields explicit formulas for expected size distributions of telomeres that demonstrate the key role played by the J factor, a quantitative measure of bending of polymers. The results are in agreement with experimental data and point out interesting phenomena: an appearance of very long telomeric circles if the total telomere density exceeds a critical value (excess mass) and a nonlinear response of the telomere size distributions to the amount of telomeric DNA in the system. The results can be of general importance for understanding dynamics of telomeres in telomerase-independent systems as this mode of telomere maintenance is similar to the situation in tumor cells lacking telomerase activity. Furthermore, due to its universality, the model may also serve as a prototype of an interaction between linear and circular DNA structures in various settings.' acknowledgement: The work was supported by the VEGA Grant No. 1/0459/13 (R.K. and K.B.). article_number: '032701' article_processing_charge: No author: - first_name: Richard full_name: Kollár, Richard last_name: Kollár - 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: Jozef full_name: Nosek, Jozef last_name: Nosek - first_name: Ľubomír full_name: Tomáška, Ľubomír last_name: Tomáška citation: ama: Kollár R, Bodova K, Nosek J, Tomáška Ľ. Mathematical model of alternative mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear and Soft Matter Physics. 2014;89(3). doi:10.1103/PhysRevE.89.032701 apa: Kollár, R., Bodova, K., Nosek, J., & Tomáška, Ľ. (2014). Mathematical model of alternative mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.89.032701 chicago: Kollár, Richard, Katarina Bodova, Jozef Nosek, and Ľubomír Tomáška. “Mathematical Model of Alternative Mechanism of Telomere Length Maintenance.” Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics, 2014. https://doi.org/10.1103/PhysRevE.89.032701. ieee: R. Kollár, K. Bodova, J. Nosek, and Ľ. Tomáška, “Mathematical model of alternative mechanism of telomere length maintenance,” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 89, no. 3. American Institute of Physics, 2014. ista: Kollár R, Bodova K, Nosek J, Tomáška Ľ. 2014. Mathematical model of alternative mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear and Soft Matter Physics. 89(3), 032701. mla: Kollár, Richard, et al. “Mathematical Model of Alternative Mechanism of Telomere Length Maintenance.” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 89, no. 3, 032701, American Institute of Physics, 2014, doi:10.1103/PhysRevE.89.032701. short: R. Kollár, K. Bodova, J. Nosek, Ľ. Tomáška, Physical Review E Statistical Nonlinear and Soft Matter Physics 89 (2014). date_created: 2018-12-11T11:54:35Z date_published: 2014-03-04T00:00:00Z date_updated: 2022-08-01T10:50:10Z day: '04' department: - _id: NiBa - _id: GaTk doi: 10.1103/PhysRevE.89.032701 intvolume: ' 89' issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1402.0430 month: '03' oa: 1 oa_version: Submitted Version publication: Physical Review E Statistical Nonlinear and Soft Matter Physics publication_status: published publisher: American Institute of Physics publist_id: '5198' scopus_import: '1' status: public title: Mathematical model of alternative mechanism of telomere length maintenance type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 89 year: '2014' ... --- _id: '1909' abstract: - lang: eng text: 'Summary: Phenotypes are often environmentally dependent, which requires organisms to track environmental change. The challenge for organisms is to construct phenotypes using the most accurate environmental cue. Here, we use a quantitative genetic model of adaptation by additive genetic variance, within- and transgenerational plasticity via linear reaction norms and indirect genetic effects respectively. We show how the relative influence on the eventual phenotype of these components depends on the predictability of environmental change (fast or slow, sinusoidal or stochastic) and the developmental lag τ between when the environment is perceived and when selection acts. We then decompose expected mean fitness into three components (variance load, adaptation and fluctuation load) to study the fitness costs of within- and transgenerational plasticity. A strongly negative maternal effect coefficient m minimizes the variance load, but a strongly positive m minimises the fluctuation load. The adaptation term is maximized closer to zero, with positive or negative m preferred under different environmental scenarios. Phenotypic plasticity is higher when τ is shorter and when the environment changes frequently between seasonal extremes. Expected mean population fitness is highest away from highest observed levels of phenotypic plasticity. Within- and transgenerational plasticity act in concert to deliver well-adapted phenotypes, which emphasizes the need to study both simultaneously when investigating phenotypic evolution.' acknowledgement: 'Engineering and Physical Sciences Research Council. Grant Number: EP/H031928/1' author: - first_name: Thomas full_name: Ezard, Thomas last_name: Ezard - first_name: Roshan full_name: Prizak, Roshan id: 4456104E-F248-11E8-B48F-1D18A9856A87 last_name: Prizak - first_name: Rebecca full_name: Hoyle, Rebecca last_name: Hoyle citation: ama: Ezard T, Prizak R, Hoyle R. The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. 2014;28(3):693-701. doi:10.1111/1365-2435.12207 apa: Ezard, T., Prizak, R., & Hoyle, R. (2014). The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. Wiley-Blackwell. https://doi.org/10.1111/1365-2435.12207 chicago: Ezard, Thomas, Roshan Prizak, and Rebecca Hoyle. “The Fitness Costs of Adaptation via Phenotypic Plasticity and Maternal Effects.” Functional Ecology. Wiley-Blackwell, 2014. https://doi.org/10.1111/1365-2435.12207. ieee: T. Ezard, R. Prizak, and R. Hoyle, “The fitness costs of adaptation via phenotypic plasticity and maternal effects,” Functional Ecology, vol. 28, no. 3. Wiley-Blackwell, pp. 693–701, 2014. ista: Ezard T, Prizak R, Hoyle R. 2014. The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. 28(3), 693–701. mla: Ezard, Thomas, et al. “The Fitness Costs of Adaptation via Phenotypic Plasticity and Maternal Effects.” Functional Ecology, vol. 28, no. 3, Wiley-Blackwell, 2014, pp. 693–701, doi:10.1111/1365-2435.12207. short: T. Ezard, R. Prizak, R. Hoyle, Functional Ecology 28 (2014) 693–701. date_created: 2018-12-11T11:54:40Z date_published: 2014-06-01T00:00:00Z date_updated: 2021-01-12T06:54:00Z day: '01' ddc: - '570' department: - _id: NiBa - _id: GaTk doi: 10.1111/1365-2435.12207 file: - access_level: open_access checksum: 3cbe8623174709a8ceec2103246f8fe0 content_type: application/pdf creator: system date_created: 2018-12-12T10:15:45Z date_updated: 2020-07-14T12:45:20Z file_id: '5167' file_name: IST-2016-419-v1+1_Ezard_et_al-2014-Functional_Ecology.pdf file_size: 536154 relation: main_file file_date_updated: 2020-07-14T12:45:20Z has_accepted_license: '1' intvolume: ' 28' issue: '3' language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: 693 - 701 publication: Functional Ecology publication_status: published publisher: Wiley-Blackwell publist_id: '5186' pubrep_id: '419' scopus_import: 1 status: public title: The fitness costs of adaptation via phenotypic plasticity and maternal effects 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: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 28 year: '2014' ... --- _id: '1908' abstract: - lang: eng text: In large populations, multiple beneficial mutations may be simultaneously spreading. In asexual populations, these mutations must either arise on the same background or compete against each other. In sexual populations, recombination can bring together beneficial alleles from different backgrounds, but tightly linked alleles may still greatly interfere with each other. We show for well-mixed populations that when this interference is strong, the genome can be seen as consisting of many effectively asexual stretches linked together. The rate at which beneficial alleles fix is thus roughly proportional to the rate of recombination and depends only logarithmically on the mutation supply and the strength of selection. Our scaling arguments also allow us to predict, with reasonable accuracy, the fitness distribution of fixed mutations when the mutational effect sizes are broad. We focus on the regime in which crossovers occur more frequently than beneficial mutations, as is likely to be the case for many natural populations. author: - first_name: Daniel full_name: Weissman, Daniel id: 2D0CE020-F248-11E8-B48F-1D18A9856A87 last_name: Weissman - first_name: Oskar full_name: Hallatschek, Oskar last_name: Hallatschek citation: ama: Weissman D, Hallatschek O. The rate of adaptation in large sexual populations with linear chromosomes. Genetics. 2014;196(4):1167-1183. doi:10.1534/genetics.113.160705 apa: Weissman, D., & Hallatschek, O. (2014). The rate of adaptation in large sexual populations with linear chromosomes. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.113.160705 chicago: Weissman, Daniel, and Oskar Hallatschek. “The Rate of Adaptation in Large Sexual Populations with Linear Chromosomes.” Genetics. Genetics Society of America, 2014. https://doi.org/10.1534/genetics.113.160705. ieee: D. Weissman and O. Hallatschek, “The rate of adaptation in large sexual populations with linear chromosomes,” Genetics, vol. 196, no. 4. Genetics Society of America, pp. 1167–1183, 2014. ista: Weissman D, Hallatschek O. 2014. The rate of adaptation in large sexual populations with linear chromosomes. Genetics. 196(4), 1167–1183. mla: Weissman, Daniel, and Oskar Hallatschek. “The Rate of Adaptation in Large Sexual Populations with Linear Chromosomes.” Genetics, vol. 196, no. 4, Genetics Society of America, 2014, pp. 1167–83, doi:10.1534/genetics.113.160705. short: D. Weissman, O. Hallatschek, Genetics 196 (2014) 1167–1183. date_created: 2018-12-11T11:54:39Z date_published: 2014-04-01T00:00:00Z date_updated: 2021-01-12T06:53:59Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.113.160705 ec_funded: 1 intvolume: ' 196' issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1307.0737 month: '04' oa: 1 oa_version: Submitted Version page: 1167 - 1183 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: '5187' quality_controlled: '1' scopus_import: 1 status: public title: The rate of adaptation in large sexual populations with linear chromosomes type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 196 year: '2014' ... --- _id: '1936' abstract: - lang: eng text: 'The social intelligence hypothesis states that the need to cope with complexities of social life has driven the evolution of advanced cognitive abilities. It is usually invoked in the context of challenges arising from complex intragroup structures, hierarchies, and alliances. However, a fundamental aspect of group living remains largely unexplored as a driving force in cognitive evolution: the competition between individuals searching for resources (producers) and conspecifics that parasitize their findings (scroungers). In populations of social foragers, abilities that enable scroungers to steal by outsmarting producers, and those allowing producers to prevent theft by outsmarting scroungers, are likely to be beneficial and may fuel a cognitive arms race. Using analytical theory and agent-based simulations, we present a general model for such a race that is driven by the producer-scrounger game and show that the race''s plausibility is dramatically affected by the nature of the evolving abilities. If scrounging and scrounging avoidance rely on separate, strategy-specific cognitive abilities, arms races are short-lived and have a limited effect on cognition. However, general cognitive abilities that facilitate both scrounging and scrounging avoidance undergo stable, long-lasting arms races. Thus, ubiquitous foraging interactions may lead to the evolution of general cognitive abilities in social animals, without the requirement of complex intragroup structures.' author: - first_name: Michal full_name: Arbilly, Michal last_name: Arbilly - first_name: Daniel full_name: Weissman, Daniel id: 2D0CE020-F248-11E8-B48F-1D18A9856A87 last_name: Weissman - first_name: Marcus full_name: Feldman, Marcus last_name: Feldman - first_name: Uri full_name: Grodzinski, Uri last_name: Grodzinski citation: ama: Arbilly M, Weissman D, Feldman M, Grodzinski U. An arms race between producers and scroungers can drive the evolution of social cognition. Behavioral Ecology. 2014;25(3):487-495. doi:10.1093/beheco/aru002 apa: Arbilly, M., Weissman, D., Feldman, M., & Grodzinski, U. (2014). An arms race between producers and scroungers can drive the evolution of social cognition. Behavioral Ecology. Oxford University Press. https://doi.org/10.1093/beheco/aru002 chicago: Arbilly, Michal, Daniel Weissman, Marcus Feldman, and Uri Grodzinski. “An Arms Race between Producers and Scroungers Can Drive the Evolution of Social Cognition.” Behavioral Ecology. Oxford University Press, 2014. https://doi.org/10.1093/beheco/aru002. ieee: M. Arbilly, D. Weissman, M. Feldman, and U. Grodzinski, “An arms race between producers and scroungers can drive the evolution of social cognition,” Behavioral Ecology, vol. 25, no. 3. Oxford University Press, pp. 487–495, 2014. ista: Arbilly M, Weissman D, Feldman M, Grodzinski U. 2014. An arms race between producers and scroungers can drive the evolution of social cognition. Behavioral Ecology. 25(3), 487–495. mla: Arbilly, Michal, et al. “An Arms Race between Producers and Scroungers Can Drive the Evolution of Social Cognition.” Behavioral Ecology, vol. 25, no. 3, Oxford University Press, 2014, pp. 487–95, doi:10.1093/beheco/aru002. short: M. Arbilly, D. Weissman, M. Feldman, U. Grodzinski, Behavioral Ecology 25 (2014) 487–495. date_created: 2018-12-11T11:54:48Z date_published: 2014-02-13T00:00:00Z date_updated: 2021-01-12T06:54:11Z day: '13' department: - _id: NiBa doi: 10.1093/beheco/aru002 ec_funded: 1 intvolume: ' 25' issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014306/ month: '02' oa: 1 oa_version: Submitted Version page: 487 - 495 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Behavioral Ecology publication_status: published publisher: Oxford University Press publist_id: '5157' quality_controlled: '1' scopus_import: 1 status: public title: An arms race between producers and scroungers can drive the evolution of social cognition type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 25 year: '2014' ... --- _id: '1932' abstract: - lang: eng text: The existence of complex (multiple-step) genetic adaptations that are "irreducible" (i.e., all partial combinations are less fit than the original genotype) is one of the longest standing problems in evolutionary biology. In standard genetics parlance, these adaptations require the crossing of a wide adaptive valley of deleterious intermediate stages. Here, we demonstrate, using a simple model, that evolution can cross wide valleys to produce "irreducibly complex" adaptations by making use of previously cryptic mutations. When revealed by an evolutionary capacitor, previously cryptic mutants have higher initial frequencies than do new mutations, bringing them closer to a valley-crossing saddle in allele frequency space. Moreover, simple combinatorics implies an enormous number of candidate combinations exist within available cryptic genetic variation. We model the dynamics of crossing of a wide adaptive valley after a capacitance event using both numerical simulations and analytical approximations. Although individual valley crossing events become less likely as valleys widen, by taking the combinatorics of genotype space into account, we see that revealing cryptic variation can cause the frequent evolution of complex adaptations. acknowledgement: "Funded by National Institutes of Health. Grant Numbers: R01GM076041, R01GM104040 \r\n\r\nSimons Foundation\r\n\r\n" author: - first_name: Meredith full_name: Trotter, Meredith last_name: Trotter - first_name: Daniel full_name: Weissman, Daniel id: 2D0CE020-F248-11E8-B48F-1D18A9856A87 last_name: Weissman - first_name: Grant full_name: Peterson, Grant last_name: Peterson - first_name: Kayla full_name: Peck, Kayla last_name: Peck - first_name: Joanna full_name: Masel, Joanna last_name: Masel citation: ama: Trotter M, Weissman D, Peterson G, Peck K, Masel J. Cryptic genetic variation can make &quot;irreducible complexity&quot; a common mode of adaptation in sexual populations. Evolution. 2014;68(12):3357-3367. doi:10.1111/evo.12517 apa: Trotter, M., Weissman, D., Peterson, G., Peck, K., & Masel, J. (2014). Cryptic genetic variation can make &quot;irreducible complexity&quot; a common mode of adaptation in sexual populations. Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.12517 chicago: Trotter, Meredith, Daniel Weissman, Grant Peterson, Kayla Peck, and Joanna Masel. “Cryptic Genetic Variation Can Make &quot;Irreducible Complexity&quot; a Common Mode of Adaptation in Sexual Populations.” Evolution. Wiley-Blackwell, 2014. https://doi.org/10.1111/evo.12517. ieee: M. Trotter, D. Weissman, G. Peterson, K. Peck, and J. Masel, “Cryptic genetic variation can make &quot;irreducible complexity&quot; a common mode of adaptation in sexual populations,” Evolution, vol. 68, no. 12. Wiley-Blackwell, pp. 3357–3367, 2014. ista: Trotter M, Weissman D, Peterson G, Peck K, Masel J. 2014. Cryptic genetic variation can make &quot;irreducible complexity&quot; a common mode of adaptation in sexual populations. Evolution. 68(12), 3357–3367. mla: Trotter, Meredith, et al. “Cryptic Genetic Variation Can Make &quot;Irreducible Complexity&quot; a Common Mode of Adaptation in Sexual Populations.” Evolution, vol. 68, no. 12, Wiley-Blackwell, 2014, pp. 3357–67, doi:10.1111/evo.12517. short: M. Trotter, D. Weissman, G. Peterson, K. Peck, J. Masel, Evolution 68 (2014) 3357–3367. date_created: 2018-12-11T11:54:47Z date_published: 2014-12-01T00:00:00Z date_updated: 2021-01-12T06:54:10Z day: '01' department: - _id: NiBa doi: 10.1111/evo.12517 ec_funded: 1 intvolume: ' 68' issue: '12' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1310.6077 month: '12' oa: 1 oa_version: Submitted Version page: 3357 - 3367 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_status: published publisher: Wiley-Blackwell publist_id: '5162' quality_controlled: '1' scopus_import: 1 status: public title: Cryptic genetic variation can make "irreducible complexity" a common mode of adaptation in sexual populations type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 68 year: '2014' ... --- _id: '2168' abstract: - lang: eng text: Many species have an essentially continuous distribution in space, in which there are no natural divisions between randomly mating subpopulations. Yet, the standard approach to modelling these populations is to impose an arbitrary grid of demes, adjusting deme sizes and migration rates in an attempt to capture the important features of the population. Such indirect methods are required because of the failure of the classical models of isolation by distance, which have been shown to have major technical flaws. A recently introduced model of extinction and recolonisation in two dimensions solves these technical problems, and provides a rigorous technical foundation for the study of populations evolving in a spatial continuum. The coalescent process for this model is simply stated, but direct simulation is very inefficient for large neighbourhood sizes. We present efficient and exact algorithms to simulate this coalescent process for arbitrary sample sizes and numbers of loci, and analyse these algorithms in detail. author: - first_name: Jerome full_name: Kelleher, Jerome last_name: Kelleher - 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: 'Kelleher J, Etheridge A, Barton NH. Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. 2014;95:13-23. doi:10.1016/j.tpb.2014.05.001' apa: 'Kelleher, J., Etheridge, A., & Barton, N. H. (2014). Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2014.05.001' chicago: 'Kelleher, Jerome, Alison Etheridge, and Nicholas H Barton. “Coalescent Simulation in Continuous Space: Algorithms for Large Neighbourhood Size.” Theoretical Population Biology. Academic Press, 2014. https://doi.org/10.1016/j.tpb.2014.05.001.' ieee: 'J. Kelleher, A. Etheridge, and N. H. Barton, “Coalescent simulation in continuous space: Algorithms for large neighbourhood size,” Theoretical Population Biology, vol. 95. Academic Press, pp. 13–23, 2014.' ista: 'Kelleher J, Etheridge A, Barton NH. 2014. Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. 95, 13–23.' mla: 'Kelleher, Jerome, et al. “Coalescent Simulation in Continuous Space: Algorithms for Large Neighbourhood Size.” Theoretical Population Biology, vol. 95, Academic Press, 2014, pp. 13–23, doi:10.1016/j.tpb.2014.05.001.' short: J. Kelleher, A. Etheridge, N.H. Barton, Theoretical Population Biology 95 (2014) 13–23. date_created: 2018-12-11T11:56:06Z date_published: 2014-08-01T00:00:00Z date_updated: 2021-01-12T06:55:44Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1016/j.tpb.2014.05.001 ec_funded: 1 file: - access_level: open_access checksum: 979d7a8034e9df198f068f0d251f31bd content_type: application/pdf creator: system date_created: 2018-12-12T10:10:49Z date_updated: 2020-07-14T12:45:31Z file_id: '4839' file_name: IST-2015-391-v1+1_1-s2.0-S0040580914000355-main.pdf file_size: 569005 relation: main_file file_date_updated: 2020-07-14T12:45:31Z has_accepted_license: '1' intvolume: ' 95' language: - iso: eng month: '08' oa: 1 oa_version: Published Version page: 13 - 23 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: '4816' pubrep_id: '391' quality_controlled: '1' scopus_import: 1 status: public title: 'Coalescent simulation in continuous space: Algorithms for large neighbourhood size' 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: 95 year: '2014' ... --- _id: '2169' 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: 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: Barton NH, Novak S, Paixao T. Diverse forms of selection in evolution and computer science. PNAS. 2014;111(29):10398-10399. doi:10.1073/pnas.1410107111 apa: Barton, N. H., Novak, S., & Paixao, T. (2014). Diverse forms of selection in evolution and computer science. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1410107111 chicago: Barton, Nicholas H, Sebastian Novak, and Tiago Paixao. “Diverse Forms of Selection in Evolution and Computer Science.” PNAS. National Academy of Sciences, 2014. https://doi.org/10.1073/pnas.1410107111. ieee: N. H. Barton, S. Novak, and T. Paixao, “Diverse forms of selection in evolution and computer science,” PNAS, vol. 111, no. 29. National Academy of Sciences, pp. 10398–10399, 2014. ista: Barton NH, Novak S, Paixao T. 2014. Diverse forms of selection in evolution and computer science. PNAS. 111(29), 10398–10399. mla: Barton, Nicholas H., et al. “Diverse Forms of Selection in Evolution and Computer Science.” PNAS, vol. 111, no. 29, National Academy of Sciences, 2014, pp. 10398–99, doi:10.1073/pnas.1410107111. short: N.H. Barton, S. Novak, T. Paixao, PNAS 111 (2014) 10398–10399. date_created: 2018-12-11T11:56:07Z date_published: 2014-07-22T00:00:00Z date_updated: 2021-01-12T06:55:45Z day: '22' department: - _id: NiBa doi: 10.1073/pnas.1410107111 intvolume: ' 111' issue: '29' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4115508/ month: '07' oa: 1 oa_version: Submitted Version page: 10398 - 10399 publication: PNAS publication_status: published publisher: National Academy of Sciences publist_id: '4815' quality_controlled: '1' scopus_import: 1 status: public title: Diverse forms of selection in evolution and computer science type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 111 year: '2014' ... --- _id: '2174' abstract: - lang: eng text: 'When polygenic traits are under stabilizing selection, many different combinations of alleles allow close adaptation to the optimum. If alleles have equal effects, all combinations that result in the same deviation from the optimum are equivalent. Furthermore, the genetic variance that is maintained by mutation-selection balance is 2μ/S per locus, where μ is the mutation rate and S the strength of stabilizing selection. In reality, alleles vary in their effects, making the fitness landscape asymmetric and complicating analysis of the equilibria. We show that that the resulting genetic variance depends on the fraction of alleles near fixation, which contribute by 2μ/S, and on the total mutational effects of alleles that are at intermediate frequency. The inpplayfi between stabilizing selection and mutation leads to a sharp transition: alleles with effects smaller than a threshold value of 2 remain polymorphic, whereas those with larger effects are fixed. The genetic load in equilibrium is less than for traits of equal effects, and the fitness equilibria are more similar. We find p the optimum is displaced, alleles with effects close to the threshold value sweep first, and their rate of increase is bounded by Long-term response leads in general to well-adapted traits, unlike the case of equal effects that often end up at a suboptimal fitness peak. However, the particular peaks to which the populations converge are extremely sensitive to the initial states and to the speed of the shift of the optimum trait value.' author: - first_name: Harold full_name: De Vladar, Harold last_name: De Vladar - 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: De Vladar H, Barton NH. Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. 2014;197(2):749-767. doi:10.1534/genetics.113.159111 apa: De Vladar, H., & Barton, N. H. (2014). Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.113.159111 chicago: De Vladar, Harold, and Nicholas H Barton. “Stability and Response of Polygenic Traits to Stabilizing Selection and Mutation.” Genetics. Genetics Society of America, 2014. https://doi.org/10.1534/genetics.113.159111. ieee: H. De Vladar and N. H. Barton, “Stability and response of polygenic traits to stabilizing selection and mutation,” Genetics, vol. 197, no. 2. Genetics Society of America, pp. 749–767, 2014. ista: De Vladar H, Barton NH. 2014. Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. 197(2), 749–767. mla: De Vladar, Harold, and Nicholas H. Barton. “Stability and Response of Polygenic Traits to Stabilizing Selection and Mutation.” Genetics, vol. 197, no. 2, Genetics Society of America, 2014, pp. 749–67, doi:10.1534/genetics.113.159111. short: H. De Vladar, N.H. Barton, Genetics 197 (2014) 749–767. date_created: 2018-12-11T11:56:08Z date_published: 2014-06-01T00:00:00Z date_updated: 2021-01-12T06:55:47Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.113.159111 ec_funded: 1 intvolume: ' 197' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1404.1017 month: '06' oa: 1 oa_version: Submitted Version page: 749 - 767 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: '4809' quality_controlled: '1' scopus_import: 1 status: public title: Stability and response of polygenic traits to stabilizing selection and mutation type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 197 year: '2014' ... --- _id: '2252' abstract: - lang: eng text: The pattern of inheritance and mechanism of sex determination can have important evolutionary consequences. We studied probabilistic sex determination in the ciliate Tetrahymena thermophila, which was previously shown to cause evolution of skewed sex ratios. We find that the genetic background alters the sex determination patterns of mat alleles in heterozygotes and that allelic interaction can differentially influence the expression probability of the 7 sexes. We quantify the dominance relationships between several mat alleles and find that A-type alleles, which specify sex I, are indeed recessive to B-type alleles, which are unable to specify that sex. Our results provide additional support for the presence of modifier loci and raise implications for the dynamics of sex ratios in populations of T. thermophila. article_processing_charge: No author: - first_name: Sujal full_name: Phadke, Sujal last_name: Phadke - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Tuan full_name: Pham, Tuan last_name: Pham - first_name: Stephanie full_name: Pham, Stephanie last_name: Pham - first_name: Rebecca full_name: Zufall, Rebecca last_name: Zufall citation: ama: Phadke S, Paixao T, Pham T, Pham S, Zufall R. Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila. Journal of Heredity. 2014;105(1):130-135. doi:10.1093/jhered/est063 apa: Phadke, S., Paixao, T., Pham, T., Pham, S., & Zufall, R. (2014). Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila. Journal of Heredity. Oxford University Press. https://doi.org/10.1093/jhered/est063 chicago: Phadke, Sujal, Tiago Paixao, Tuan Pham, Stephanie Pham, and Rebecca Zufall. “Genetic Background Alters Dominance Relationships between Mat Alleles in the Ciliate Tetrahymena Thermophila.” Journal of Heredity. Oxford University Press, 2014. https://doi.org/10.1093/jhered/est063. ieee: S. Phadke, T. Paixao, T. Pham, S. Pham, and R. Zufall, “Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila,” Journal of Heredity, vol. 105, no. 1. Oxford University Press, pp. 130–135, 2014. ista: Phadke S, Paixao T, Pham T, Pham S, Zufall R. 2014. Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila. Journal of Heredity. 105(1), 130–135. mla: Phadke, Sujal, et al. “Genetic Background Alters Dominance Relationships between Mat Alleles in the Ciliate Tetrahymena Thermophila.” Journal of Heredity, vol. 105, no. 1, Oxford University Press, 2014, pp. 130–35, doi:10.1093/jhered/est063. short: S. Phadke, T. Paixao, T. Pham, S. Pham, R. Zufall, Journal of Heredity 105 (2014) 130–135. date_created: 2018-12-11T11:56:35Z date_published: 2014-01-01T00:00:00Z date_updated: 2022-08-25T14:45:42Z day: '01' department: - _id: NiBa doi: 10.1093/jhered/est063 intvolume: ' 105' issue: '1' language: - iso: eng month: '01' oa_version: None page: 130 - 135 publication: Journal of Heredity publication_identifier: issn: - '00221503' publication_status: published publisher: Oxford University Press publist_id: '4695' quality_controlled: '1' scopus_import: '1' status: public title: Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 105 year: '2014' ... --- _id: '537' abstract: - lang: eng text: Transgenerational effects are broader than only parental relationships. Despite mounting evidence that multigenerational effects alter phenotypic and life-history traits, our understanding of how they combine to determine fitness is not well developed because of the added complexity necessary to study them. Here, we derive a quantitative genetic model of adaptation to an extraordinary new environment by an additive genetic component, phenotypic plasticity, maternal and grandmaternal effects. We show how, at equilibrium, negative maternal and negative grandmaternal effects maximize expected population mean fitness. We define negative transgenerational effects as those that have a negative effect on trait expression in the subsequent generation, that is, they slow, or potentially reverse, the expected evolutionary dynamic. When maternal effects are positive, negative grandmaternal effects are preferred. As expected under Mendelian inheritance, the grandmaternal effects have a lower impact on fitness than the maternal effects, but this dual inheritance model predicts a more complex relationship between maternal and grandmaternal effects to constrain phenotypic variance and so maximize expected population mean fitness in the offspring. author: - first_name: Roshan full_name: Prizak, Roshan id: 4456104E-F248-11E8-B48F-1D18A9856A87 last_name: Prizak - first_name: Thomas full_name: Ezard, Thomas last_name: Ezard - first_name: Rebecca full_name: Hoyle, Rebecca last_name: Hoyle citation: ama: Prizak R, Ezard T, Hoyle R. Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. 2014;4(15):3139-3145. doi:10.1002/ece3.1150 apa: Prizak, R., Ezard, T., & Hoyle, R. (2014). Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. Wiley-Blackwell. https://doi.org/10.1002/ece3.1150 chicago: Prizak, Roshan, Thomas Ezard, and Rebecca Hoyle. “Fitness Consequences of Maternal and Grandmaternal Effects.” Ecology and Evolution. Wiley-Blackwell, 2014. https://doi.org/10.1002/ece3.1150. ieee: R. Prizak, T. Ezard, and R. Hoyle, “Fitness consequences of maternal and grandmaternal effects,” Ecology and Evolution, vol. 4, no. 15. Wiley-Blackwell, pp. 3139–3145, 2014. ista: Prizak R, Ezard T, Hoyle R. 2014. Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. 4(15), 3139–3145. mla: Prizak, Roshan, et al. “Fitness Consequences of Maternal and Grandmaternal Effects.” Ecology and Evolution, vol. 4, no. 15, Wiley-Blackwell, 2014, pp. 3139–45, doi:10.1002/ece3.1150. short: R. Prizak, T. Ezard, R. Hoyle, Ecology and Evolution 4 (2014) 3139–3145. date_created: 2018-12-11T11:47:02Z date_published: 2014-07-19T00:00:00Z date_updated: 2021-01-12T08:01:30Z day: '19' ddc: - '530' - '571' department: - _id: NiBa - _id: GaTk doi: 10.1002/ece3.1150 file: - access_level: open_access checksum: e32abf75a248e7a11811fd7f60858769 content_type: application/pdf creator: system date_created: 2018-12-12T10:11:31Z date_updated: 2020-07-14T12:46:38Z file_id: '4886' file_name: IST-2018-934-v1+1_Prizak_et_al-2014-Ecology_and_Evolution.pdf file_size: 621582 relation: main_file file_date_updated: 2020-07-14T12:46:38Z has_accepted_license: '1' intvolume: ' 4' issue: '15' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 3139 - 3145 publication: Ecology and Evolution publication_status: published publisher: Wiley-Blackwell publist_id: '7280' pubrep_id: '934' scopus_import: 1 status: public title: Fitness consequences of maternal and grandmaternal effects 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: 4 year: '2014' ... --- _id: '2170' abstract: - lang: eng text: ' Short-read sequencing technologies have in principle made it feasible to draw detailed inferences about the recent history of any organism. In practice, however, this remains challenging due to the difficulty of genome assembly in most organisms and the lack of statistical methods powerful enough to discriminate between recent, nonequilibrium histories. We address both the assembly and inference challenges. We develop a bioinformatic pipeline for generating outgroup-rooted alignments of orthologous sequence blocks from de novo low-coverage short-read data for a small number of genomes, and show how such sequence blocks can be used to fit explicit models of population divergence and admixture in a likelihood framework. To illustrate our approach, we reconstruct the Pleistocene history of an oak-feeding insect (the oak gallwasp Biorhiza pallida), which, in common with many other taxa, was restricted during Pleistocene ice ages to a longitudinal series of southern refugia spanning the Western Palaearctic. Our analysis of sequence blocks sampled from a single genome from each of three major glacial refugia reveals support for an unexpected history dominated by recent admixture. Despite the fact that 80% of the genome is affected by admixture during the last glacial cycle, we are able to infer the deeper divergence history of these populations. These inferences are robust to variation in block length, mutation model and the sampling location of individual genomes within refugia. This combination of de novo assembly and numerical likelihood calculation provides a powerful framework for estimating recent population history that can be applied to any organism without the need for prior genetic resources.' acknowledgement: This work was funded by NERC grants to G Stone, J Nicholls, K Lohse and N Barton (NE/J010499, NBAF375, NE/E014453/1 and NER/B/S2003/00856). author: - first_name: Jack full_name: Hearn, Jack last_name: Hearn - first_name: Graham full_name: Stone, Graham last_name: Stone - first_name: Lynsey full_name: Bunnefeld, Lynsey last_name: Bunnefeld - first_name: James full_name: Nicholls, James last_name: Nicholls - 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: Konrad full_name: Lohse, Konrad last_name: Lohse citation: ama: Hearn J, Stone G, Bunnefeld L, Nicholls J, Barton NH, Lohse K. Likelihood-based inference of population history from low-coverage de novo genome assemblies. Molecular Ecology. 2014;23(1):198-211. doi:10.1111/mec.12578 apa: Hearn, J., Stone, G., Bunnefeld, L., Nicholls, J., Barton, N. H., & Lohse, K. (2014). Likelihood-based inference of population history from low-coverage de novo genome assemblies. Molecular Ecology. Wiley-Blackwell. https://doi.org/10.1111/mec.12578 chicago: Hearn, Jack, Graham Stone, Lynsey Bunnefeld, James Nicholls, Nicholas H Barton, and Konrad Lohse. “Likelihood-Based Inference of Population History from Low-Coverage de Novo Genome Assemblies.” Molecular Ecology. Wiley-Blackwell, 2014. https://doi.org/10.1111/mec.12578. ieee: J. Hearn, G. Stone, L. Bunnefeld, J. Nicholls, N. H. Barton, and K. Lohse, “Likelihood-based inference of population history from low-coverage de novo genome assemblies,” Molecular Ecology, vol. 23, no. 1. Wiley-Blackwell, pp. 198–211, 2014. ista: Hearn J, Stone G, Bunnefeld L, Nicholls J, Barton NH, Lohse K. 2014. Likelihood-based inference of population history from low-coverage de novo genome assemblies. Molecular Ecology. 23(1), 198–211. mla: Hearn, Jack, et al. “Likelihood-Based Inference of Population History from Low-Coverage de Novo Genome Assemblies.” Molecular Ecology, vol. 23, no. 1, Wiley-Blackwell, 2014, pp. 198–211, doi:10.1111/mec.12578. short: J. Hearn, G. Stone, L. Bunnefeld, J. Nicholls, N.H. Barton, K. Lohse, Molecular Ecology 23 (2014) 198–211. date_created: 2018-12-11T11:56:07Z date_published: 2014-01-01T00:00:00Z date_updated: 2023-02-23T14:07:09Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/mec.12578 file: - access_level: open_access checksum: 4de1ab255976a8ae77eb0e55ad62ecc9 content_type: application/pdf creator: system date_created: 2018-12-12T10:07:52Z date_updated: 2020-07-14T12:45:31Z file_id: '4651' file_name: IST-2016-559-v1+1_Hearn_et_al.pdf file_size: 807444 relation: main_file - access_level: open_access checksum: 01a8073e071c088500425f910b0f1f71 content_type: application/pdf creator: system date_created: 2018-12-12T10:07:53Z date_updated: 2020-07-14T12:45:31Z file_id: '4652' file_name: IST-2016-559-v1+2_Hearn_et_al_Suppl.pdf file_size: 1518088 relation: main_file file_date_updated: 2020-07-14T12:45:31Z has_accepted_license: '1' intvolume: ' 23' issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 198 - 211 publication: Molecular Ecology publication_status: published publisher: Wiley-Blackwell publist_id: '4814' pubrep_id: '559' quality_controlled: '1' related_material: record: - id: '9754' relation: research_data status: public scopus_import: 1 status: public title: Likelihood-based inference of population history from low-coverage de novo genome assemblies type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 23 year: '2014' ... --- _id: '2023' abstract: - lang: eng text: 'Understanding the evolution of dispersal is essential for understanding and predicting the dynamics of natural populations. Two main factors are known to influence dispersal evolution: spatio-temporal variation in the environment and relatedness between individuals. However, the relation between these factors is still poorly understood, and they are usually treated separately. In this article, I present a theoretical framework that contains and connects effects of both environmental variation and relatedness, and reproduces and extends their known features. Spatial habitat variation selects for balanced dispersal strategies, whereby the population is kept at an ideal free distribution. Within this class of dispersal strategies, I explain how increased dispersal is promoted by perturbations to the dispersal type frequencies. An explicit formula shows the magnitude of the selective advantage of increased dispersal in terms of the spatial variability in the frequencies of the different dispersal strategies present. These variances are capable of capturing various sources of stochasticity and hence establish a common scale for their effects on the evolution of dispersal. The results furthermore indicate an alternative approach to identifying effects of relatedness on dispersal evolution.' author: - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak orcid: 0000-0002-2519-824X citation: ama: Novak S. Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution. Ecology and Evolution. 2014;4(24):4589-4597. doi:10.1002/ece3.1289 apa: Novak, S. (2014). Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution. Ecology and Evolution. Wiley-Blackwell. https://doi.org/10.1002/ece3.1289 chicago: Novak, Sebastian. “Habitat Heterogeneities versus Spatial Type Frequency Variances as Driving Forces of Dispersal Evolution.” Ecology and Evolution. Wiley-Blackwell, 2014. https://doi.org/10.1002/ece3.1289. ieee: S. Novak, “Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution,” Ecology and Evolution, vol. 4, no. 24. Wiley-Blackwell, pp. 4589–4597, 2014. ista: Novak S. 2014. Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution. Ecology and Evolution. 4(24), 4589–4597. mla: Novak, Sebastian. “Habitat Heterogeneities versus Spatial Type Frequency Variances as Driving Forces of Dispersal Evolution.” Ecology and Evolution, vol. 4, no. 24, Wiley-Blackwell, 2014, pp. 4589–97, doi:10.1002/ece3.1289. short: S. Novak, Ecology and Evolution 4 (2014) 4589–4597. date_created: 2018-12-11T11:55:16Z date_published: 2014-11-27T00:00:00Z date_updated: 2023-09-07T11:55:53Z day: '27' ddc: - '570' department: - _id: NiBa doi: 10.1002/ece3.1289 ec_funded: 1 file: - access_level: open_access checksum: 9ab43db1b0fede7bfe560ed77e177b76 content_type: application/pdf creator: system date_created: 2018-12-12T10:12:28Z date_updated: 2020-07-14T12:45:25Z file_id: '4946' file_name: IST-2016-462-v1+1_Novak-2014-Ecology_and_Evolution.pdf file_size: 118813 relation: main_file file_date_updated: 2020-07-14T12:45:25Z has_accepted_license: '1' intvolume: ' 4' issue: '24' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: 4589 - 4597 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Ecology and Evolution publication_status: published publisher: Wiley-Blackwell publist_id: '5049' pubrep_id: '462' quality_controlled: '1' related_material: record: - id: '1125' relation: dissertation_contains status: public scopus_import: 1 status: public title: Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal 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: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 4 year: '2014' ... --- _id: '10899' 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. Differentiation. In: Encyclopedia of Biodiversity. 2nd ed. Elsevier; 2013:508-515. doi:10.1016/b978-0-12-384719-5.00031-9' apa: Barton, N. H. (2013). Differentiation. In Encyclopedia of Biodiversity (2nd ed., pp. 508–515). Elsevier. https://doi.org/10.1016/b978-0-12-384719-5.00031-9 chicago: Barton, Nicholas H. “Differentiation.” In Encyclopedia of Biodiversity, 2nd ed., 508–15. Elsevier, 2013. https://doi.org/10.1016/b978-0-12-384719-5.00031-9. ieee: N. H. Barton, “Differentiation,” in Encyclopedia of Biodiversity, 2nd ed., Elsevier, 2013, pp. 508–515. ista: 'Barton NH. 2013.Differentiation. In: Encyclopedia of Biodiversity. , 508–515.' mla: Barton, Nicholas H. “Differentiation.” Encyclopedia of Biodiversity, 2nd ed., Elsevier, 2013, pp. 508–15, doi:10.1016/b978-0-12-384719-5.00031-9. short: N.H. Barton, in:, Encyclopedia of Biodiversity, 2nd ed., Elsevier, 2013, pp. 508–515. date_created: 2022-03-21T07:46:22Z date_published: 2013-01-01T00:00:00Z date_updated: 2022-06-20T09:18:06Z day: '01' department: - _id: NiBa doi: 10.1016/b978-0-12-384719-5.00031-9 edition: '2' keyword: - Adaptive landscape - Cline - Coalescent process - Gene flow - Hybrid zone - Local adaptation - Natural selection - Neutral theory - Population structure - Speciation language: - iso: eng month: '01' oa_version: None page: 508-515 publication: Encyclopedia of Biodiversity publication_identifier: isbn: - 978-0-12-384720-1 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Differentiation type: book_chapter user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2013' ... --- _id: '2287' abstract: - lang: eng text: Negative frequency-dependent selection should result in equal sex ratios in large populations of dioecious flowering plants, but deviations from equality are commonly reported. A variety of ecological and genetic factors can explain biased sex ratios, although the mechanisms involved are not well understood. Most dioecious species are long-lived and/or clonal complicating efforts to identify stages during the life cycle when biases develop. We investigated the demographic correlates of sex-ratio variation in two chromosome races of Rumex hastatulus, an annual, wind-pollinated colonizer of open habitats from the southern USA. We examined sex ratios in 46 populations and evaluated the hypothesis that the proximity of males in the local mating environment, through its influence on gametophytic selection, is the primary cause of female-biased sex ratios. Female-biased sex ratios characterized most populations of R. hastatulus (mean sex ratio = 0.62), with significant female bias in 89% of populations. Large, high-density populations had the highest proportion of females, whereas smaller, low-density populations had sex ratios closer to equality. Progeny sex ratios were more female biased when males were in closer proximity to females, a result consistent with the gametophytic selection hypothesis. Our results suggest that interactions between demographic and genetic factors are probably the main cause of female-biased sex ratios in R. hastatulus. The annual life cycle of this species may limit the scope for selection against males and may account for the weaker degree of bias in comparison with perennial Rumex species. author: - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - first_name: Spencer full_name: Barrett, Spencer last_name: Barrett citation: ama: Pickup M, Barrett S. The influence of demography and local mating environment on sex ratios in a wind-pollinated dioecious plant. Ecology and Evolution. 2013;3(3):629-639. doi:10.1002/ece3.465 apa: Pickup, M., & Barrett, S. (2013). The influence of demography and local mating environment on sex ratios in a wind-pollinated dioecious plant. Ecology and Evolution. Wiley-Blackwell. https://doi.org/10.1002/ece3.465 chicago: Pickup, Melinda, and Spencer Barrett. “The Influence of Demography and Local Mating Environment on Sex Ratios in a Wind-Pollinated Dioecious Plant.” Ecology and Evolution. Wiley-Blackwell, 2013. https://doi.org/10.1002/ece3.465. ieee: M. Pickup and S. Barrett, “The influence of demography and local mating environment on sex ratios in a wind-pollinated dioecious plant,” Ecology and Evolution, vol. 3, no. 3. Wiley-Blackwell, pp. 629–639, 2013. ista: Pickup M, Barrett S. 2013. The influence of demography and local mating environment on sex ratios in a wind-pollinated dioecious plant. Ecology and Evolution. 3(3), 629–639. mla: Pickup, Melinda, and Spencer Barrett. “The Influence of Demography and Local Mating Environment on Sex Ratios in a Wind-Pollinated Dioecious Plant.” Ecology and Evolution, vol. 3, no. 3, Wiley-Blackwell, 2013, pp. 629–39, doi:10.1002/ece3.465. short: M. Pickup, S. Barrett, Ecology and Evolution 3 (2013) 629–639. date_created: 2018-12-11T11:56:47Z date_published: 2013-03-01T00:00:00Z date_updated: 2021-01-12T06:56:32Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1002/ece3.465 file: - access_level: open_access checksum: b5531bab4c0dec396bf5c8497fe178bf content_type: application/pdf creator: system date_created: 2018-12-12T10:17:35Z date_updated: 2020-07-14T12:45:37Z file_id: '5290' file_name: IST-2016-416-v1+1_Pickup_et_al-2013-Ecology_and_Evolution.pdf file_size: 626949 relation: main_file file_date_updated: 2020-07-14T12:45:37Z has_accepted_license: '1' intvolume: ' 3' issue: '3' language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: 629 - 639 publication: Ecology and Evolution publication_status: published publisher: Wiley-Blackwell publist_id: '4644' pubrep_id: '416' quality_controlled: '1' scopus_import: 1 status: public title: The influence of demography and local mating environment on sex ratios in a wind-pollinated dioecious plant 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: 3 year: '2013' ... --- _id: '2473' abstract: - lang: eng text: 'When a mutation with selective advantage s spreads through a panmictic population, it may cause two lineages at a linked locus to coalesce; the probability of coalescence is exp(−2rT), where T∼log(2Ns)/s is the time to fixation, N is the number of haploid individuals, and r is the recombination rate. Population structure delays fixation, and so weakens the effect of a selective sweep. However, favourable alleles spread through a spatially continuous population behind a narrow wavefront; ancestral lineages are confined at the tip of this front, and so coalesce rapidly. In extremely dense populations, coalescence is dominated by rare fluctuations ahead of the front. However, we show that for moderate densities, a simple quasi-deterministic approximation applies: the rate of coalescence within the front is λ∼2g(η)/(ρℓ), where ρ is the population density and is the characteristic scale of the wavefront; g(η) depends only on the strength of random drift, . The net effect of a sweep on coalescence also depends crucially on whether two lineages are ever both within the wavefront at the same time: even in the extreme case when coalescence within the front is instantaneous, the net rate of coalescence may be lower than in a single panmictic population. Sweeps can also have a substantial impact on the rate of gene flow. A single lineage will jump to a new location when it is hit by a sweep, with mean square displacement ; this can be substantial if the species’ range, L, is large, even if the species-wide rate of sweeps per map length, Λ/R, is small. This effect is half as strong in two dimensions. In contrast, the rate of coalescence between lineages, at random locations in space and on the genetic map, is proportional to (c/L)(Λ/R), where c is the wavespeed: thus, on average, one-dimensional structure is likely to reduce coalescence due to sweeps, relative to panmixis. In two dimensions, genes must move along the front before they can coalesce; this process is rapid, being dominated by rare fluctuations. This leads to a dramatically higher rate of coalescence within the wavefront than if lineages simply diffused along the front. Nevertheless, the net rate of coalescence due to a sweep through a two-dimensional population is likely to be lower than it would be with panmixis.' 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: Jerome full_name: Kelleher, Jerome last_name: Kelleher - first_name: Amandine full_name: Véber, Amandine last_name: Véber citation: ama: Barton NH, Etheridge A, Kelleher J, Véber A. Genetic hitch-hiking in spatially extended populations. Theoretical Population Biology. 2013;87(8):75-89. doi:10.1016/j.tpb.2012.12.001 apa: Barton, N. H., Etheridge, A., Kelleher, J., & Véber, A. (2013). Genetic hitch-hiking in spatially extended populations. Theoretical Population Biology. Elsevier. https://doi.org/10.1016/j.tpb.2012.12.001 chicago: Barton, Nicholas H, Alison Etheridge, Jerome Kelleher, and Amandine Véber. “Genetic Hitch-Hiking in Spatially Extended Populations.” Theoretical Population Biology. Elsevier, 2013. https://doi.org/10.1016/j.tpb.2012.12.001. ieee: N. H. Barton, A. Etheridge, J. Kelleher, and A. Véber, “Genetic hitch-hiking in spatially extended populations,” Theoretical Population Biology, vol. 87, no. 8. Elsevier, pp. 75–89, 2013. ista: Barton NH, Etheridge A, Kelleher J, Véber A. 2013. Genetic hitch-hiking in spatially extended populations. Theoretical Population Biology. 87(8), 75–89. mla: Barton, Nicholas H., et al. “Genetic Hitch-Hiking in Spatially Extended Populations.” Theoretical Population Biology, vol. 87, no. 8, Elsevier, 2013, pp. 75–89, doi:10.1016/j.tpb.2012.12.001. short: N.H. Barton, A. Etheridge, J. Kelleher, A. Véber, Theoretical Population Biology 87 (2013) 75–89. date_created: 2018-12-11T11:57:52Z date_published: 2013-01-03T00:00:00Z date_updated: 2021-01-12T06:57:42Z day: '03' ddc: - '570' department: - _id: NiBa doi: 10.1016/j.tpb.2012.12.001 ec_funded: 1 file: - access_level: open_access checksum: 4274ec1f433b838a7d5b941cc9684ca7 content_type: application/pdf creator: system date_created: 2018-12-12T10:18:54Z date_updated: 2020-07-14T12:45:41Z file_id: '5376' file_name: IST-2013-118-v1+1_bartonetalRevision.pdf file_size: 1706282 relation: main_file file_date_updated: 2020-07-14T12:45:41Z has_accepted_license: '1' intvolume: ' 87' issue: '8' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 75 - 89 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: Elsevier publist_id: '4428' pubrep_id: '118' quality_controlled: '1' scopus_import: 1 status: public title: Genetic hitch-hiking in spatially extended populations type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 87 year: '2013' ... --- _id: '2718' abstract: - lang: eng text: Even though both population and quantitative genetics, and evolutionary computation, deal with the same questions, they have developed largely independently of each other. I review key results from each field, emphasising those that apply independently of the (usually unknown) relation between genotype and phenotype. The infinitesimal model provides a simple framework for predicting the response of complex traits to selection, which in biology has proved remarkably successful. This allows one to choose the schedule of population sizes and selection intensities that will maximise the response to selection, given that the total number of individuals realised, C = ∑t Nt, is constrained. This argument shows that for an additive trait (i.e., determined by the sum of effects of the genes), the optimum population size and the maximum possible response (i.e., the total change in trait mean) are both proportional to √C. 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: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: 'Barton NH, Paixao T. Can quantitative and population genetics help us understand evolutionary computation? In: Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation. ACM; 2013:1573-1580. doi:10.1145/2463372.2463568' apa: 'Barton, N. H., & Paixao, T. (2013). Can quantitative and population genetics help us understand evolutionary computation? In Proceedings of the 15th annual conference on Genetic and evolutionary computation (pp. 1573–1580). Amsterdam, Netherlands: ACM. https://doi.org/10.1145/2463372.2463568' chicago: Barton, Nicholas H, and Tiago Paixao. “Can Quantitative and Population Genetics Help Us Understand Evolutionary Computation?” In Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, 1573–80. ACM, 2013. https://doi.org/10.1145/2463372.2463568. ieee: N. H. Barton and T. Paixao, “Can quantitative and population genetics help us understand evolutionary computation?,” in Proceedings of the 15th annual conference on Genetic and evolutionary computation, Amsterdam, Netherlands, 2013, pp. 1573–1580. ista: 'Barton NH, Paixao T. 2013. Can quantitative and population genetics help us understand evolutionary computation? Proceedings of the 15th annual conference on Genetic and evolutionary computation. GECCO: Genetic and evolutionary computation conference, 1573–1580.' mla: Barton, Nicholas H., and Tiago Paixao. “Can Quantitative and Population Genetics Help Us Understand Evolutionary Computation?” Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 1573–80, doi:10.1145/2463372.2463568. short: N.H. Barton, T. Paixao, in:, Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 1573–1580. conference: end_date: 2013-07-10 location: Amsterdam, Netherlands name: 'GECCO: Genetic and evolutionary computation conference' start_date: 2013-07-06 date_created: 2018-12-11T11:59:14Z date_published: 2013-07-01T00:00:00Z date_updated: 2021-01-12T06:59:15Z day: '01' ddc: - '570' department: - _id: NiBa - _id: CaGu doi: 10.1145/2463372.2463568 ec_funded: 1 file: - access_level: open_access checksum: 9d9be9090ce5c20766e0eb076ace5b98 content_type: application/pdf creator: system date_created: 2018-12-12T10:15:38Z date_updated: 2020-07-14T12:45:45Z file_id: '5159' file_name: IST-2016-564-v1+1_NickGECCO_2013_1_-1.pdf file_size: 475844 relation: main_file file_date_updated: 2020-07-14T12:45:45Z has_accepted_license: '1' language: - iso: eng month: '07' oa: 1 oa_version: Submitted Version page: 1573 - 1580 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Proceedings of the 15th annual conference on Genetic and evolutionary computation publication_status: published publisher: ACM publist_id: '4174' pubrep_id: '564' quality_controlled: '1' scopus_import: 1 status: public title: Can quantitative and population genetics help us understand evolutionary computation? type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2013' ... --- _id: '2720' abstract: - lang: eng text: 'Knowledge of the rate and fitness effects of mutations is essential for understanding the process of evolution. Mutations are inherently difficult to study because they are rare and are frequently eliminated by natural selection. In the ciliate Tetrahymena thermophila, mutations can accumulate in the germline genome without being exposed to selection. We have conducted a mutation accumulation (MA) experiment in this species. Assuming that all mutations are deleterious and have the same effect, we estimate that the deleterious mutation rate per haploid germline genome per generation is U = 0.0047 (95% credible interval: 0.0015, 0.0125), and that germline mutations decrease fitness by s = 11% when expressed in a homozygous state (95% CI: 4.4%, 27%). We also estimate that deleterious mutations are partially recessive on average (h = 0.26; 95% CI: –0.022, 0.62) and that the rate of lethal mutations is <10% of the deleterious mutation rate. Comparisons between the observed evolutionary responses in the germline and somatic genomes and the results from individual-based simulations of MA suggest that the two genomes have similar mutational parameters. These are the first estimates of the deleterious mutation rate and fitness effects from the eukaryotic supergroup Chromalveolata and are within the range of those of other eukaryotes.' article_processing_charge: No author: - first_name: Hongan full_name: Long, Hongan last_name: Long - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Ricardo full_name: Azevedo, Ricardo last_name: Azevedo - first_name: Rebecca full_name: Zufall, Rebecca last_name: Zufall citation: ama: Long H, Paixao T, Azevedo R, Zufall R. Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila. Genetics. 2013;195(2):527-540. doi:10.1534/genetics.113.153536 apa: Long, H., Paixao, T., Azevedo, R., & Zufall, R. (2013). Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.113.153536 chicago: Long, Hongan, Tiago Paixao, Ricardo Azevedo, and Rebecca Zufall. “Accumulation of Spontaneous Mutations in the Ciliate Tetrahymena Thermophila.” Genetics. Genetics Society of America, 2013. https://doi.org/10.1534/genetics.113.153536. ieee: H. Long, T. Paixao, R. Azevedo, and R. Zufall, “Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila,” Genetics, vol. 195, no. 2. Genetics Society of America, pp. 527–540, 2013. ista: Long H, Paixao T, Azevedo R, Zufall R. 2013. Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila. Genetics. 195(2), 527–540. mla: Long, Hongan, et al. “Accumulation of Spontaneous Mutations in the Ciliate Tetrahymena Thermophila.” Genetics, vol. 195, no. 2, Genetics Society of America, 2013, pp. 527–40, doi:10.1534/genetics.113.153536. short: H. Long, T. Paixao, R. Azevedo, R. Zufall, Genetics 195 (2013) 527–540. date_created: 2018-12-11T11:59:15Z date_published: 2013-10-01T00:00:00Z date_updated: 2021-01-12T06:59:16Z day: '01' department: - _id: NiBa - _id: CaGu doi: 10.1534/genetics.113.153536 ec_funded: 1 external_id: pmid: - '23934880' intvolume: ' 195' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781978/ month: '10' oa: 1 oa_version: Submitted Version page: 527-540 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: '4172' quality_controlled: '1' scopus_import: 1 status: public title: Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 195 year: '2013' ... --- _id: '2719' abstract: - lang: eng text: Prediction of the evolutionary process is a long standing problem both in the theory of evolutionary biology and evolutionary computation (EC). It has long been realized that heritable variation is crucial to both the response to selection and the success of genetic algorithms. However, not all variation contributes in the same way to the response. Quantitative genetics has developed a large body of work trying to estimate and understand how different components of the variance in fitness in the population contribute to the response to selection. We illustrate how to apply some concepts of quantitative genetics to the analysis of genetic algorithms. In particular, we derive estimates for the short term prediction of the response to selection and we use variance decomposition to gain insight on local aspects of the landscape. Finally, we propose a new population based genetic algorithm that uses these methods to improve its operation. 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. A variance decomposition approach to the analysis of genetic algorithms. In: Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation. ACM; 2013:845-852. doi:10.1145/2463372.2463470' apa: 'Paixao, T., & Barton, N. H. (2013). A variance decomposition approach to the analysis of genetic algorithms. In Proceedings of the 15th annual conference on Genetic and evolutionary computation (pp. 845–852). Amsterdam, Netherlands: ACM. https://doi.org/10.1145/2463372.2463470' chicago: Paixao, Tiago, and Nicholas H Barton. “A Variance Decomposition Approach to the Analysis of Genetic Algorithms.” In Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, 845–52. ACM, 2013. https://doi.org/10.1145/2463372.2463470. ieee: T. Paixao and N. H. Barton, “A variance decomposition approach to the analysis of genetic algorithms,” in Proceedings of the 15th annual conference on Genetic and evolutionary computation, Amsterdam, Netherlands, 2013, pp. 845–852. ista: 'Paixao T, Barton NH. 2013. A variance decomposition approach to the analysis of genetic algorithms. Proceedings of the 15th annual conference on Genetic and evolutionary computation. GECCO: Genetic and evolutionary computation conference, 845–852.' mla: Paixao, Tiago, and Nicholas H. Barton. “A Variance Decomposition Approach to the Analysis of Genetic Algorithms.” Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 845–52, doi:10.1145/2463372.2463470. short: T. Paixao, N.H. Barton, in:, Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 845–852. conference: end_date: 2013-07-10 location: Amsterdam, Netherlands name: 'GECCO: Genetic and evolutionary computation conference' start_date: 2013-07-06 date_created: 2018-12-11T11:59:15Z date_published: 2013-07-01T00:00:00Z date_updated: 2021-01-12T06:59:15Z day: '01' department: - _id: NiBa - _id: CaGu doi: 10.1145/2463372.2463470 ec_funded: 1 language: - iso: eng month: '07' oa_version: None page: 845 - 852 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Proceedings of the 15th annual conference on Genetic and evolutionary computation publication_status: published publisher: ACM publist_id: '4173' quality_controlled: '1' scopus_import: 1 status: public title: A variance decomposition approach to the analysis of genetic algorithms type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2013' ... --- _id: '2817' abstract: - lang: eng text: The basic idea of evolutionary game theory is that payoff determines reproductive rate. Successful individuals have a higher payoff and produce more offspring. But in evolutionary and ecological situations there is not only reproductive rate but also carrying capacity. Individuals may differ in their exposure to density limiting effects. Here we explore an alternative approach to evolutionary game theory by assuming that the payoff from the game determines the carrying capacity of individual phenotypes. Successful strategies are less affected by density limitation (crowding) and reach higher equilibrium abundance. We demonstrate similarities and differences between our framework and the standard replicator equation. Our equation is defined on the positive orthant, instead of the simplex, but has the same equilibrium points as the replicator equation. Linear stability analysis produces the classical conditions for asymptotic stability of pure strategies, but the stability properties of internal equilibria can differ in the two frameworks. For example, in a two-strategy game with an internal equilibrium that is always stable under the replicator equation, the corresponding equilibrium can be unstable in the new framework resulting in a limit cycle. author: - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Martin full_name: Nowak, Martin last_name: Nowak citation: ama: Novak S, Chatterjee K, Nowak M. Density games. Journal of Theoretical Biology. 2013;334:26-34. doi:10.1016/j.jtbi.2013.05.029 apa: Novak, S., Chatterjee, K., & Nowak, M. (2013). Density games. Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2013.05.029 chicago: Novak, Sebastian, Krishnendu Chatterjee, and Martin Nowak. “Density Games.” Journal of Theoretical Biology. Elsevier, 2013. https://doi.org/10.1016/j.jtbi.2013.05.029. ieee: S. Novak, K. Chatterjee, and M. Nowak, “Density games,” Journal of Theoretical Biology, vol. 334. Elsevier, pp. 26–34, 2013. ista: Novak S, Chatterjee K, Nowak M. 2013. Density games. Journal of Theoretical Biology. 334, 26–34. mla: Novak, Sebastian, et al. “Density Games.” Journal of Theoretical Biology, vol. 334, Elsevier, 2013, pp. 26–34, doi:10.1016/j.jtbi.2013.05.029. short: S. Novak, K. Chatterjee, M. Nowak, Journal of Theoretical Biology 334 (2013) 26–34. date_created: 2018-12-11T11:59:45Z date_published: 2013-10-07T00:00:00Z date_updated: 2021-01-12T06:59:55Z day: '07' ddc: - '000' department: - _id: NiBa - _id: KrCh doi: 10.1016/j.jtbi.2013.05.029 ec_funded: 1 file: - access_level: open_access checksum: 3c29059ab03a4b8f97a07646b817ddbb content_type: application/pdf creator: system date_created: 2018-12-12T10:14:54Z date_updated: 2020-07-14T12:45:49Z file_id: '5110' file_name: IST-2016-400-v1+1_1-s2.0-S0022519313002609-main.pdf file_size: 834604 relation: main_file file_date_updated: 2020-07-14T12:45:49Z has_accepted_license: '1' intvolume: ' 334' language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 26 - 34 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 2584A770-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 23499-N23 name: Modern Graph Algorithmic Techniques in Formal Verification - _id: 25863FF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11407 name: Game Theory - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' - _id: 2587B514-B435-11E9-9278-68D0E5697425 name: Microsoft Research Faculty Fellowship publication: Journal of Theoretical Biology publication_status: published publisher: Elsevier publist_id: '3984' pubrep_id: '400' quality_controlled: '1' scopus_import: 1 status: public title: Density games 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: 334 year: '2013' ... --- _id: '2823' abstract: - lang: eng text: The primary goal of restoration is to create self-sustaining ecological communities that are resilient to periodic disturbance. Currently, little is known about how restored communities respond to disturbance events such as fire and how this response compares to remnant vegetation. Following the 2003 fires in south-eastern Australia we examined the post-fire response of revegetation plantings and compared this to remnant vegetation. Ten burnt and 10 unburnt (control) sites were assessed for each of three types of vegetation (direct seeding revegetation, revegetation using nursery seedlings (tubestock) and remnant woodland). Sixty sampling sites were surveyed 6months after fire to quantify the initial survival of mid- and overstorey plant species in each type of vegetation. Three and 5years after fire all sites were resurveyed to assess vegetation structure, species diversity and vigour, as well as indicators of soil function. Overall, revegetation showed high (>60%) post-fire survival, but this varied among species depending on regeneration strategy (obligate seeder or resprouter). The native ground cover, mid- and overstorey in both types of plantings showed rapid recovery of vegetation structure and cover within 3years of fire. This recovery was similar to the burnt remnant woodlands. Non-native (exotic) ground cover initially increased after fire, but was no different in burnt and unburnt sites 5years after fire. Fire had no effect on species richness, but burnt direct seeding sites had reduced species diversity (Simpson's Diversity Index) while diversity was higher in burnt remnant woodlands. Indices of soil function in all types of vegetation had recovered to levels found in unburnt sites 5years after fire. These results indicate that even young revegetation (stands <10years old) showed substantial recovery from disturbance by fire. This suggests that revegetation can provide an important basis for restoring woodland communities in the fire-prone Australian environment. author: - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - first_name: Susie full_name: Wilson, Susie last_name: Wilson - first_name: David full_name: Freudenberger, David last_name: Freudenberger - first_name: Nick full_name: Nicholls, Nick last_name: Nicholls - first_name: Lori full_name: Gould, Lori last_name: Gould - first_name: Sarah full_name: Hnatiuk, Sarah last_name: Hnatiuk - first_name: Jeni full_name: Delandre, Jeni last_name: Delandre citation: ama: Pickup M, Wilson S, Freudenberger D, et al. Post-fire recovery of revegetated woodland communities in south-eastern Australia. Austral Ecology. 2013;38(3):300-312. doi:10.1111/j.1442-9993.2012.02404.x apa: Pickup, M., Wilson, S., Freudenberger, D., Nicholls, N., Gould, L., Hnatiuk, S., & Delandre, J. (2013). Post-fire recovery of revegetated woodland communities in south-eastern Australia. Austral Ecology. Wiley-Blackwell. https://doi.org/10.1111/j.1442-9993.2012.02404.x chicago: Pickup, Melinda, Susie Wilson, David Freudenberger, Nick Nicholls, Lori Gould, Sarah Hnatiuk, and Jeni Delandre. “Post-Fire Recovery of Revegetated Woodland Communities in South-Eastern Australia.” Austral Ecology. Wiley-Blackwell, 2013. https://doi.org/10.1111/j.1442-9993.2012.02404.x. ieee: M. Pickup et al., “Post-fire recovery of revegetated woodland communities in south-eastern Australia,” Austral Ecology, vol. 38, no. 3. Wiley-Blackwell, pp. 300–312, 2013. ista: Pickup M, Wilson S, Freudenberger D, Nicholls N, Gould L, Hnatiuk S, Delandre J. 2013. Post-fire recovery of revegetated woodland communities in south-eastern Australia. Austral Ecology. 38(3), 300–312. mla: Pickup, Melinda, et al. “Post-Fire Recovery of Revegetated Woodland Communities in South-Eastern Australia.” Austral Ecology, vol. 38, no. 3, Wiley-Blackwell, 2013, pp. 300–12, doi:10.1111/j.1442-9993.2012.02404.x. short: M. Pickup, S. Wilson, D. Freudenberger, N. Nicholls, L. Gould, S. Hnatiuk, J. Delandre, Austral Ecology 38 (2013) 300–312. date_created: 2018-12-11T11:59:47Z date_published: 2013-05-01T00:00:00Z date_updated: 2021-01-12T06:59:58Z day: '01' department: - _id: NiBa doi: 10.1111/j.1442-9993.2012.02404.x intvolume: ' 38' issue: '3' language: - iso: eng month: '05' oa_version: None page: 300 - 312 publication: Austral Ecology publication_status: published publisher: Wiley-Blackwell publist_id: '3978' quality_controlled: '1' scopus_import: 1 status: public title: Post-fire recovery of revegetated woodland communities in south-eastern Australia type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 38 year: '2013' ... --- _id: '2842' abstract: - lang: eng text: 'We outline two approaches to inference of neighbourhood size, N, and dispersal rate, σ2, based on either allele frequencies or on the lengths of sequence blocks that are shared between genomes. Over intermediate timescales (10-100 generations, say), populations that live in two dimensions approach a quasi-equilibrium that is independent of both their local structure and their deeper history. Over such scales, the standardised covariance of allele frequencies (i.e. pairwise FS T) falls with the logarithm of distance, and depends only on neighbourhood size, N, and a ''local scale'', κ; the rate of gene flow, σ2, cannot be inferred. We show how spatial correlations can be accounted for, assuming a Gaussian distribution of allele frequencies, giving maximum likelihood estimates of N and κ. Alternatively, inferences can be based on the distribution of the lengths of sequence that are identical between blocks of genomes: long blocks (>0.1 cM, say) tell us about intermediate timescales, over which we assume a quasi-equilibrium. For large neighbourhood size, the distribution of long blocks is given directly by the classical Wright-Malécot formula; this relationship can be used to infer both N and σ2. With small neighbourhood size, there is an appreciable chance that recombinant lineages will coalesce back before escaping into the distant past. For this case, we show that if genomes are sampled from some distance apart, then the distribution of lengths of blocks that are identical in state is geometric, with a mean that depends on N and σ2.' 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: Jerome full_name: Kelleher, Jerome last_name: Kelleher - first_name: Amandine full_name: Véber, Amandine last_name: Véber citation: ama: 'Barton NH, Etheridge A, Kelleher J, Véber A. Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology. 2013;87(1):105-119. doi:10.1016/j.tpb.2013.03.001' apa: 'Barton, N. H., Etheridge, A., Kelleher, J., & Véber, A. (2013). Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology. Elsevier. https://doi.org/10.1016/j.tpb.2013.03.001' chicago: 'Barton, Nicholas H, Alison Etheridge, Jerome Kelleher, and Amandine Véber. “Inference in Two Dimensions: Allele Frequencies versus Lengths of Shared Sequence Blocks.” Theoretical Population Biology. Elsevier, 2013. https://doi.org/10.1016/j.tpb.2013.03.001.' ieee: 'N. H. Barton, A. Etheridge, J. Kelleher, and A. Véber, “Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks,” Theoretical Population Biology, vol. 87, no. 1. Elsevier, pp. 105–119, 2013.' ista: 'Barton NH, Etheridge A, Kelleher J, Véber A. 2013. Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology. 87(1), 105–119.' mla: 'Barton, Nicholas H., et al. “Inference in Two Dimensions: Allele Frequencies versus Lengths of Shared Sequence Blocks.” Theoretical Population Biology, vol. 87, no. 1, Elsevier, 2013, pp. 105–19, doi:10.1016/j.tpb.2013.03.001.' short: N.H. Barton, A. Etheridge, J. Kelleher, A. Véber, Theoretical Population Biology 87 (2013) 105–119. date_created: 2018-12-11T11:59:53Z date_published: 2013-08-01T00:00:00Z date_updated: 2021-01-12T07:00:09Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1016/j.tpb.2013.03.001 ec_funded: 1 file: - access_level: open_access checksum: 9bf9d9a6fd03dd9df50906891f393bf8 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:33Z date_updated: 2020-07-14T12:45:50Z file_id: '5288' file_name: IST-2016-558-v1+1_inference_revised3101NB.pdf file_size: 1554712 relation: main_file - access_level: open_access checksum: 2bceddb76edacd0cd5fad73051e2a928 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:34Z date_updated: 2020-07-14T12:45:50Z file_id: '5289' file_name: IST-2016-558-v1+2_inference_revised3101NBApp.pdf file_size: 822964 relation: main_file file_date_updated: 2020-07-14T12:45:50Z has_accepted_license: '1' intvolume: ' 87' issue: '1' language: - iso: eng month: '08' oa: 1 oa_version: Submitted Version page: 105 - 119 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: Elsevier publist_id: '3953' pubrep_id: '558' quality_controlled: '1' scopus_import: 1 status: public title: 'Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 87 year: '2013' ... --- _id: '2910' abstract: - lang: eng text: "Coalescent simulation has become an indispensable tool in population genetics and many complex evolutionary scenarios have been incorporated into the basic algorithm. Despite many years of intense interest in spatial structure, however, there are no available methods to simulate the ancestry of a sample of genes that occupy a spatial continuum. This is mainly due to the severe technical problems encountered by the classical model of isolation\r\nby distance. A recently introduced model solves these technical problems and provides a solid theoretical basis for the study of populations evolving in continuous space. We present a detailed algorithm to simulate the coalescent process in this model, and provide an efficient implementation of a generalised version of this algorithm as a freely available Python module." author: - first_name: Jerome full_name: Kelleher, Jerome last_name: Kelleher - 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 citation: ama: Kelleher J, Barton NH, Etheridge A. Coalescent simulation in continuous space. Bioinformatics. 2013;29(7):955-956. doi:10.1093/bioinformatics/btt067 apa: Kelleher, J., Barton, N. H., & Etheridge, A. (2013). Coalescent simulation in continuous space. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btt067 chicago: Kelleher, Jerome, Nicholas H Barton, and Alison Etheridge. “Coalescent Simulation in Continuous Space.” Bioinformatics. Oxford University Press, 2013. https://doi.org/10.1093/bioinformatics/btt067. ieee: J. Kelleher, N. H. Barton, and A. Etheridge, “Coalescent simulation in continuous space,” Bioinformatics, vol. 29, no. 7. Oxford University Press, pp. 955–956, 2013. ista: Kelleher J, Barton NH, Etheridge A. 2013. Coalescent simulation in continuous space. Bioinformatics. 29(7), 955–956. mla: Kelleher, Jerome, et al. “Coalescent Simulation in Continuous Space.” Bioinformatics, vol. 29, no. 7, Oxford University Press, 2013, pp. 955–56, doi:10.1093/bioinformatics/btt067. short: J. Kelleher, N.H. Barton, A. Etheridge, Bioinformatics 29 (2013) 955–956. date_created: 2018-12-11T12:00:17Z date_published: 2013-02-07T00:00:00Z date_updated: 2021-01-12T07:00:38Z day: '07' ddc: - '570' department: - _id: NiBa doi: 10.1093/bioinformatics/btt067 ec_funded: 1 file: - access_level: open_access checksum: a3b54d7477fac923815ac082403d9bd0 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:04Z date_updated: 2020-07-14T12:45:52Z file_id: '5189' file_name: IST-2016-556-v1+1_bioinformatics-2013.pdf file_size: 170197 relation: main_file file_date_updated: 2020-07-14T12:45:52Z has_accepted_license: '1' intvolume: ' 29' issue: '7' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: 955 - 956 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Bioinformatics publication_status: published publisher: Oxford University Press publist_id: '3833' pubrep_id: '556' quality_controlled: '1' scopus_import: 1 status: public title: Coalescent simulation in continuous space type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 29 year: '2013' ...