--- _id: '9851' abstract: - lang: eng text: Based on the intuitive derivation of the dynamics of SIM allele frequency pM in the main text, we present a heuristic prediction for the long-term SIM allele frequencies with χ > 1 stresses and compare it to numerical simulations. article_processing_charge: No author: - first_name: Marta full_name: Lukacisinova, Marta id: 4342E402-F248-11E8-B48F-1D18A9856A87 last_name: Lukacisinova orcid: 0000-0002-2519-8004 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Lukacisinova M, Novak S, Paixao T. Heuristic prediction for multiple stresses. 2017. doi:10.1371/journal.pcbi.1005609.s003 apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Heuristic prediction for multiple stresses. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s003 chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Heuristic Prediction for Multiple Stresses.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s003. ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Heuristic prediction for multiple stresses.” Public Library of Science, 2017. ista: Lukacisinova M, Novak S, Paixao T. 2017. Heuristic prediction for multiple stresses, Public Library of Science, 10.1371/journal.pcbi.1005609.s003. mla: Lukacisinova, Marta, et al. Heuristic Prediction for Multiple Stresses. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s003. short: M. Lukacisinova, S. Novak, T. Paixao, (2017). date_created: 2021-08-09T14:08:14Z date_published: 2017-07-18T00:00:00Z date_updated: 2023-02-23T12:55:39Z day: '18' department: - _id: ToBo - _id: CaGu - _id: NiBa doi: 10.1371/journal.pcbi.1005609.s003 month: '07' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '696' relation: used_in_publication status: public status: public title: Heuristic prediction for multiple stresses type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9852' abstract: - lang: eng text: We show how different combination strategies affect the fraction of individuals that are multi-resistant. article_processing_charge: No author: - first_name: Marta full_name: Lukacisinova, Marta id: 4342E402-F248-11E8-B48F-1D18A9856A87 last_name: Lukacisinova orcid: 0000-0002-2519-8004 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Lukacisinova M, Novak S, Paixao T. Resistance frequencies for different combination strategies. 2017. doi:10.1371/journal.pcbi.1005609.s004 apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Resistance frequencies for different combination strategies. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s004 chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Resistance Frequencies for Different Combination Strategies.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s004. ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Resistance frequencies for different combination strategies.” Public Library of Science, 2017. ista: Lukacisinova M, Novak S, Paixao T. 2017. Resistance frequencies for different combination strategies, Public Library of Science, 10.1371/journal.pcbi.1005609.s004. mla: Lukacisinova, Marta, et al. Resistance Frequencies for Different Combination Strategies. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s004. short: M. Lukacisinova, S. Novak, T. Paixao, (2017). date_created: 2021-08-09T14:11:40Z date_published: 2017-07-18T00:00:00Z date_updated: 2023-02-23T12:55:39Z day: '18' department: - _id: ToBo - _id: CaGu - _id: NiBa doi: 10.1371/journal.pcbi.1005609.s004 month: '07' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '696' relation: used_in_publication status: public status: public title: Resistance frequencies for different combination strategies type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '6291' abstract: - lang: eng text: Bacteria and their pathogens – phages – are the most abundant living entities on Earth. Throughout their coevolution, bacteria have evolved multiple immune systems to overcome the ubiquitous threat from the phages. Although the molecu- lar details of these immune systems’ functions are relatively well understood, their epidemiological consequences for the phage-bacterial communities have been largely neglected. In this thesis we employed both experimental and theoretical methods to explore whether herd and social immunity may arise in bacterial popu- lations. Using our experimental system consisting of Escherichia coli strains with a CRISPR based immunity to the T7 phage we show that herd immunity arises in phage-bacterial communities and that it is accentuated when the populations are spatially structured. By fitting a mathematical model, we inferred expressions for the herd immunity threshold and the velocity of spread of a phage epidemic in partially resistant bacterial populations, which both depend on the bacterial growth rate, phage burst size and phage latent period. We also investigated the poten- tial for social immunity in Streptococcus thermophilus and its phage 2972 using a bioinformatic analysis of potentially coding short open reading frames with a signalling signature, encoded within the CRISPR associated genes. Subsequently, we tested one identified potentially signalling peptide and found that its addition to a phage-challenged culture increases probability of survival of bacteria two fold, although the results were only marginally significant. Together, these results demonstrate that the ubiquitous arms races between bacteria and phages have further consequences at the level of the population. alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Pavel full_name: Payne, Pavel id: 35F78294-F248-11E8-B48F-1D18A9856A87 last_name: Payne orcid: 0000-0002-2711-9453 citation: ama: Payne P. Bacterial herd and social immunity to phages. 2017. apa: Payne, P. (2017). Bacterial herd and social immunity to phages. Institute of Science and Technology Austria. chicago: Payne, Pavel. “Bacterial Herd and Social Immunity to Phages.” Institute of Science and Technology Austria, 2017. ieee: P. Payne, “Bacterial herd and social immunity to phages,” Institute of Science and Technology Austria, 2017. ista: Payne P. 2017. Bacterial herd and social immunity to phages. Institute of Science and Technology Austria. mla: Payne, Pavel. Bacterial Herd and Social Immunity to Phages. Institute of Science and Technology Austria, 2017. short: P. Payne, Bacterial Herd and Social Immunity to Phages, Institute of Science and Technology Austria, 2017. date_created: 2019-04-09T15:16:45Z date_published: 2017-02-01T00:00:00Z date_updated: 2023-09-07T12:00:00Z day: '01' ddc: - '570' degree_awarded: PhD department: - _id: NiBa - _id: JoBo file: - access_level: closed checksum: a0fc5c26a89c0ea759947ffba87d0d8f content_type: application/pdf creator: dernst date_created: 2019-04-09T15:15:32Z date_updated: 2020-07-14T12:47:27Z file_id: '6292' file_name: thesis_pavel_payne_final_w_signature_page.pdf file_size: 3025175 relation: main_file - access_level: open_access checksum: af531e921a7f64a9e0af4cd8783b2226 content_type: application/pdf creator: dernst date_created: 2021-02-22T13:45:59Z date_updated: 2021-02-22T13:45:59Z file_id: '9187' file_name: 2017_Payne_Thesis.pdf file_size: 3111536 relation: main_file success: 1 file_date_updated: 2021-02-22T13:45:59Z has_accepted_license: '1' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: '83' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria status: public supervisor: - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 title: Bacterial herd and social immunity to phages type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2017' ... --- _id: '9842' abstract: - lang: eng text: Mathematica notebooks used to generate figures. article_processing_charge: No author: - first_name: Alison full_name: Etheridge, Alison last_name: Etheridge - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Etheridge A, Barton NH. Data for: Establishment in a new habitat by polygenic adaptation. 2017. doi:10.17632/nw68fxzjpm.1' apa: 'Etheridge, A., & Barton, N. H. (2017). Data for: Establishment in a new habitat by polygenic adaptation. Mendeley Data. https://doi.org/10.17632/nw68fxzjpm.1' chicago: 'Etheridge, Alison, and Nicholas H Barton. “Data for: Establishment in a New Habitat by Polygenic Adaptation.” Mendeley Data, 2017. https://doi.org/10.17632/nw68fxzjpm.1.' ieee: 'A. Etheridge and N. H. Barton, “Data for: Establishment in a new habitat by polygenic adaptation.” Mendeley Data, 2017.' ista: 'Etheridge A, Barton NH. 2017. Data for: Establishment in a new habitat by polygenic adaptation, Mendeley Data, 10.17632/nw68fxzjpm.1.' mla: 'Etheridge, Alison, and Nicholas H. Barton. Data for: Establishment in a New Habitat by Polygenic Adaptation. Mendeley Data, 2017, doi:10.17632/nw68fxzjpm.1.' short: A. Etheridge, N.H. Barton, (2017). date_created: 2021-08-09T13:18:55Z date_published: 2017-12-29T00:00:00Z date_updated: 2023-09-11T13:41:21Z day: '29' department: - _id: NiBa doi: 10.17632/nw68fxzjpm.1 main_file_link: - open_access: '1' url: https://doi.org/10.17632/nw68fxzjpm.1 month: '12' oa: 1 oa_version: Published Version publisher: Mendeley Data related_material: record: - id: '564' relation: used_in_publication status: public status: public title: 'Data for: Establishment in a new habitat by polygenic adaptation' type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '1351' abstract: - lang: eng text: The behaviour of gene regulatory networks (GRNs) is typically analysed using simulation-based statistical testing-like methods. In this paper, we demonstrate that we can replace this approach by a formal verification-like method that gives higher assurance and scalability. We focus on Wagner’s weighted GRN model with varying weights, which is used in evolutionary biology. In the model, weight parameters represent the gene interaction strength that may change due to genetic mutations. For a property of interest, we synthesise the constraints over the parameter space that represent the set of GRNs satisfying the property. We experimentally show that our parameter synthesis procedure computes the mutational robustness of GRNs—an important problem of interest in evolutionary biology—more efficiently than the classical simulation method. We specify the property in linear temporal logic. We employ symbolic bounded model checking and SMT solving to compute the space of GRNs that satisfy the property, which amounts to synthesizing a set of linear constraints on the weights. article_processing_charge: No author: - first_name: Mirco full_name: Giacobbe, Mirco id: 3444EA5E-F248-11E8-B48F-1D18A9856A87 last_name: Giacobbe orcid: 0000-0001-8180-0904 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Ashutosh full_name: Gupta, Ashutosh id: 335E5684-F248-11E8-B48F-1D18A9856A87 last_name: Gupta - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Tatjana full_name: Petrov, Tatjana id: 3D5811FC-F248-11E8-B48F-1D18A9856A87 last_name: Petrov orcid: 0000-0002-9041-0905 citation: ama: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking the evolution of gene regulatory networks. Acta Informatica. 2017;54(8):765-787. doi:10.1007/s00236-016-0278-x apa: Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., & Petrov, T. (2017). Model checking the evolution of gene regulatory networks. Acta Informatica. Springer. https://doi.org/10.1007/s00236-016-0278-x chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago Paixao, and Tatjana Petrov. “Model Checking the Evolution of Gene Regulatory Networks.” Acta Informatica. Springer, 2017. https://doi.org/10.1007/s00236-016-0278-x. ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov, “Model checking the evolution of gene regulatory networks,” Acta Informatica, vol. 54, no. 8. Springer, pp. 765–787, 2017. ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2017. Model checking the evolution of gene regulatory networks. Acta Informatica. 54(8), 765–787. mla: Giacobbe, Mirco, et al. “Model Checking the Evolution of Gene Regulatory Networks.” Acta Informatica, vol. 54, no. 8, Springer, 2017, pp. 765–87, doi:10.1007/s00236-016-0278-x. short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, Acta Informatica 54 (2017) 765–787. date_created: 2018-12-11T11:51:32Z date_published: 2017-12-01T00:00:00Z date_updated: 2023-09-20T11:06:03Z day: '01' ddc: - '006' - '576' department: - _id: ToHe - _id: CaGu - _id: NiBa doi: 10.1007/s00236-016-0278-x ec_funded: 1 external_id: isi: - '000414343200003' file: - access_level: open_access checksum: 4e661d9135d7f8c342e8e258dee76f3e content_type: application/pdf creator: dernst date_created: 2019-01-17T15:57:29Z date_updated: 2020-07-14T12:44:46Z file_id: '5841' file_name: 2017_ActaInformatica_Giacobbe.pdf file_size: 755241 relation: main_file file_date_updated: 2020-07-14T12:44:46Z has_accepted_license: '1' intvolume: ' 54' isi: 1 issue: '8' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '12' oa: 1 oa_version: Published Version page: 765 - 787 project: - _id: 25EE3708-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '267989' name: Quantitative Reactive Modeling - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Acta Informatica publication_identifier: issn: - '00015903' publication_status: published publisher: Springer publist_id: '5898' pubrep_id: '649' quality_controlled: '1' related_material: record: - id: '1835' relation: earlier_version status: public scopus_import: '1' status: public title: Model checking the evolution of gene regulatory networks tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 54 year: '2017' ... --- _id: '1336' abstract: - lang: eng text: Evolutionary algorithms (EAs) form a popular optimisation paradigm inspired by natural evolution. In recent years the field of evolutionary computation has developed a rigorous analytical theory to analyse the runtimes of EAs on many illustrative problems. Here we apply this theory to a simple model of natural evolution. In the Strong Selection Weak Mutation (SSWM) evolutionary regime the time between occurrences of new mutations is much longer than the time it takes for a mutated genotype to take over the population. In this situation, the population only contains copies of one genotype and evolution can be modelled as a stochastic process evolving one genotype by means of mutation and selection between the resident and the mutated genotype. The probability of accepting the mutated genotype then depends on the change in fitness. We study this process, SSWM, from an algorithmic perspective, quantifying its expected optimisation time for various parameters and investigating differences to a similar evolutionary algorithm, the well-known (1+1) EA. We show that SSWM can have a moderate advantage over the (1+1) EA at crossing fitness valleys and study an example where SSWM outperforms the (1+1) EA by taking advantage of information on the fitness gradient. article_processing_charge: No author: - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Jorge full_name: Pérez Heredia, Jorge last_name: Pérez Heredia - first_name: Dirk full_name: Sudholt, Dirk last_name: Sudholt - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 citation: ama: Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. Towards a runtime comparison of natural and artificial evolution. Algorithmica. 2017;78(2):681-713. doi:10.1007/s00453-016-0212-1 apa: Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B. (2017). Towards a runtime comparison of natural and artificial evolution. Algorithmica. Springer. https://doi.org/10.1007/s00453-016-0212-1 chicago: Paixao, Tiago, Jorge Pérez Heredia, Dirk Sudholt, and Barbora Trubenova. “Towards a Runtime Comparison of Natural and Artificial Evolution.” Algorithmica. Springer, 2017. https://doi.org/10.1007/s00453-016-0212-1. ieee: T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “Towards a runtime comparison of natural and artificial evolution,” Algorithmica, vol. 78, no. 2. Springer, pp. 681–713, 2017. ista: Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2017. Towards a runtime comparison of natural and artificial evolution. Algorithmica. 78(2), 681–713. mla: Paixao, Tiago, et al. “Towards a Runtime Comparison of Natural and Artificial Evolution.” Algorithmica, vol. 78, no. 2, Springer, 2017, pp. 681–713, doi:10.1007/s00453-016-0212-1. short: T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica 78 (2017) 681–713. date_created: 2018-12-11T11:51:27Z date_published: 2017-06-01T00:00:00Z date_updated: 2023-09-20T11:14:42Z day: '01' ddc: - '576' department: - _id: NiBa - _id: CaGu doi: 10.1007/s00453-016-0212-1 ec_funded: 1 external_id: isi: - '000400379500013' file: - access_level: open_access checksum: 7873f665a0c598ac747c908f34cb14b9 content_type: application/pdf creator: system date_created: 2018-12-12T10:10:19Z date_updated: 2020-07-14T12:44:44Z file_id: '4805' file_name: IST-2016-658-v1+1_s00453-016-0212-1.pdf file_size: 710206 relation: main_file file_date_updated: 2020-07-14T12:44:44Z has_accepted_license: '1' intvolume: ' 78' isi: 1 issue: '2' language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: 681 - 713 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: Algorithmica publication_identifier: issn: - '01784617' publication_status: published publisher: Springer publist_id: '5931' pubrep_id: '658' quality_controlled: '1' scopus_import: '1' status: public title: Towards a runtime comparison of natural and artificial evolution tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 78 year: '2017' ... --- _id: '1199' abstract: - lang: eng text: Much of quantitative genetics is based on the ‘infinitesimal model’, under which selection has a negligible effect on the genetic variance. This is typically justified by assuming a very large number of loci with additive effects. However, it applies even when genes interact, provided that the number of loci is large enough that selection on each of them is weak relative to random drift. In the long term, directional selection will change allele frequencies, but even then, the effects of epistasis on the ultimate change in trait mean due to selection may be modest. Stabilising selection can maintain many traits close to their optima, even when the underlying alleles are weakly selected. However, the number of traits that can be optimised is apparently limited to ~4Ne by the ‘drift load’, and this is hard to reconcile with the apparent complexity of many organisms. Just as for the mutation load, this limit can be evaded by a particular form of negative epistasis. A more robust limit is set by the variance in reproductive success. This suggests that selection accumulates information most efficiently in the infinitesimal regime, when selection on individual alleles is weak, and comparable with random drift. A review of evidence on selection strength suggests that although most variance in fitness may be because of alleles with large Nes, substantial amounts of adaptation may be because of alleles in the infinitesimal regime, in which epistasis has modest effects. article_processing_charge: No author: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Barton NH. How does epistasis influence the response to selection? Heredity. 2017;118:96-109. doi:10.1038/hdy.2016.109 apa: Barton, N. H. (2017). How does epistasis influence the response to selection? Heredity. Nature Publishing Group. https://doi.org/10.1038/hdy.2016.109 chicago: Barton, Nicholas H. “How Does Epistasis Influence the Response to Selection?” Heredity. Nature Publishing Group, 2017. https://doi.org/10.1038/hdy.2016.109. ieee: N. H. Barton, “How does epistasis influence the response to selection?,” Heredity, vol. 118. Nature Publishing Group, pp. 96–109, 2017. ista: Barton NH. 2017. How does epistasis influence the response to selection? Heredity. 118, 96–109. mla: Barton, Nicholas H. “How Does Epistasis Influence the Response to Selection?” Heredity, vol. 118, Nature Publishing Group, 2017, pp. 96–109, doi:10.1038/hdy.2016.109. short: N.H. Barton, Heredity 118 (2017) 96–109. date_created: 2018-12-11T11:50:40Z date_published: 2017-01-01T00:00:00Z date_updated: 2023-09-20T11:17:47Z day: '01' department: - _id: NiBa doi: 10.1038/hdy.2016.109 ec_funded: 1 external_id: isi: - '000392229100011' intvolume: ' 118' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5176114/ month: '01' oa: 1 oa_version: Submitted Version page: 96 - 109 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Heredity publication_status: published publisher: Nature Publishing Group publist_id: '6151' quality_controlled: '1' related_material: record: - id: '9710' relation: research_data status: public scopus_import: '1' status: public title: How does epistasis influence the response to selection? type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 118 year: '2017' ... --- _id: '1169' abstract: - lang: eng text: Dispersal is a crucial factor in natural evolution, since it determines the habitat experienced by any population and defines the spatial scale of interactions between individuals. There is compelling evidence for systematic differences in dispersal characteristics within the same population, i.e., genotype-dependent dispersal. The consequences of genotype-dependent dispersal on other evolutionary phenomena, however, are poorly understood. In this article we investigate the effect of genotype-dependent dispersal on spatial gene frequency patterns, using a generalization of the classical diffusion model of selection and dispersal. Dispersal is characterized by the variance of dispersal (diffusion coefficient) and the mean displacement (directional advection term). We demonstrate that genotype-dependent dispersal may change the qualitative behavior of Fisher waves, which change from being “pulled” to being “pushed” wave fronts as the discrepancy in dispersal between genotypes increases. The speed of any wave is partitioned into components due to selection, genotype-dependent variance of dispersal, and genotype-dependent mean displacement. We apply our findings to wave fronts maintained by selection against heterozygotes. Furthermore, we identify a benefit of increased variance of dispersal, quantify its effect on the speed of the wave, and discuss the implications for the evolution of dispersal strategies. article_processing_charge: No author: - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak orcid: 0000-0002-2519-824X - first_name: Richard full_name: Kollár, Richard last_name: Kollár citation: ama: Novak S, Kollár R. Spatial gene frequency waves under genotype dependent dispersal. Genetics. 2017;205(1):367-374. doi:10.1534/genetics.116.193946 apa: Novak, S., & Kollár, R. (2017). Spatial gene frequency waves under genotype dependent dispersal. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.193946 chicago: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under Genotype Dependent Dispersal.” Genetics. Genetics Society of America, 2017. https://doi.org/10.1534/genetics.116.193946. ieee: S. Novak and R. Kollár, “Spatial gene frequency waves under genotype dependent dispersal,” Genetics, vol. 205, no. 1. Genetics Society of America, pp. 367–374, 2017. ista: Novak S, Kollár R. 2017. Spatial gene frequency waves under genotype dependent dispersal. Genetics. 205(1), 367–374. mla: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under Genotype Dependent Dispersal.” Genetics, vol. 205, no. 1, Genetics Society of America, 2017, pp. 367–74, doi:10.1534/genetics.116.193946. short: S. Novak, R. Kollár, Genetics 205 (2017) 367–374. date_created: 2018-12-11T11:50:31Z date_published: 2017-01-01T00:00:00Z date_updated: 2023-09-20T11:24:21Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1534/genetics.116.193946 ec_funded: 1 external_id: isi: - '000393677300025' file: - access_level: open_access checksum: 7c8ab79cda1f92760bbbbe0f53175bfc content_type: application/pdf creator: system date_created: 2018-12-12T10:10:43Z date_updated: 2020-07-14T12:44:37Z file_id: '4833' file_name: IST-2016-727-v1+1_SFC_Genetics_final.pdf file_size: 361500 relation: main_file file_date_updated: 2020-07-14T12:44:37Z has_accepted_license: '1' intvolume: ' 205' isi: 1 issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 367 - 374 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Genetics publication_identifier: issn: - '00166731' publication_status: published publisher: Genetics Society of America publist_id: '6188' pubrep_id: '727' quality_controlled: '1' scopus_import: '1' status: public title: Spatial gene frequency waves under genotype dependent dispersal type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 205 year: '2017' ... --- _id: '1111' abstract: - lang: eng text: Adaptation depends critically on the effects of new mutations and their dependency on the genetic background in which they occur. These two factors can be summarized by the fitness landscape. However, it would require testing all mutations in all backgrounds, making the definition and analysis of fitness landscapes mostly inaccessible. Instead of postulating a particular fitness landscape, we address this problem by considering general classes of landscapes and calculating an upper limit for the time it takes for a population to reach a fitness peak, circumventing the need to have full knowledge about the fitness landscape. We analyze populations in the weak-mutation regime and characterize the conditions that enable them to quickly reach the fitness peak as a function of the number of sites under selection. We show that for additive landscapes there is a critical selection strength enabling populations to reach high-fitness genotypes, regardless of the distribution of effects. This threshold scales with the number of sites under selection, effectively setting a limit to adaptation, and results from the inevitable increase in deleterious mutational pressure as the population adapts in a space of discrete genotypes. Furthermore, we show that for the class of all unimodal landscapes this condition is sufficient but not necessary for rapid adaptation, as in some highly epistatic landscapes the critical strength does not depend on the number of sites under selection; effectively removing this barrier to adaptation. article_processing_charge: No article_type: original author: - first_name: Jorge full_name: Heredia, Jorge last_name: Heredia - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 - first_name: Dirk full_name: Sudholt, Dirk last_name: Sudholt - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Heredia J, Trubenova B, Sudholt D, Paixao T. Selection limits to adaptive walks on correlated landscapes. Genetics. 2017;205(2):803-825. doi:10.1534/genetics.116.189340 apa: Heredia, J., Trubenova, B., Sudholt, D., & Paixao, T. (2017). Selection limits to adaptive walks on correlated landscapes. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.189340 chicago: Heredia, Jorge, Barbora Trubenova, Dirk Sudholt, and Tiago Paixao. “Selection Limits to Adaptive Walks on Correlated Landscapes.” Genetics. Genetics Society of America, 2017. https://doi.org/10.1534/genetics.116.189340. ieee: J. Heredia, B. Trubenova, D. Sudholt, and T. Paixao, “Selection limits to adaptive walks on correlated landscapes,” Genetics, vol. 205, no. 2. Genetics Society of America, pp. 803–825, 2017. ista: Heredia J, Trubenova B, Sudholt D, Paixao T. 2017. Selection limits to adaptive walks on correlated landscapes. Genetics. 205(2), 803–825. mla: Heredia, Jorge, et al. “Selection Limits to Adaptive Walks on Correlated Landscapes.” Genetics, vol. 205, no. 2, Genetics Society of America, 2017, pp. 803–25, doi:10.1534/genetics.116.189340. short: J. Heredia, B. Trubenova, D. Sudholt, T. Paixao, Genetics 205 (2017) 803–825. date_created: 2018-12-11T11:50:12Z date_published: 2017-02-01T00:00:00Z date_updated: 2023-09-20T11:35:03Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.116.189340 ec_funded: 1 external_id: isi: - '000394144900025' pmid: - '27881471' intvolume: ' 205' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1534/genetics.116.189340 month: '02' oa: 1 oa_version: Published Version page: 803 - 825 pmid: 1 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: Genetics publication_identifier: issn: - '00166731' publication_status: published publisher: Genetics Society of America publist_id: '6256' quality_controlled: '1' scopus_import: '1' status: public title: Selection limits to adaptive walks on correlated landscapes type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 205 year: '2017' ... --- _id: '1077' abstract: - lang: eng text: Viral capsids are structurally constrained by interactions among the amino acids (AAs) of their constituent proteins. Therefore, epistasis is expected to evolve among physically interacting sites and to influence the rates of substitution. To study the evolution of epistasis, we focused on the major structural protein of the fX174 phage family by first reconstructing the ancestral protein sequences of 18 species using a Bayesian statistical framework. The inferred ancestral reconstruction differed at eight AAs, for a total of 256 possible ancestral haplotypes. For each ancestral haplotype and the extant species, we estimated, in silico, the distribution of free energies and epistasis of the capsid structure. We found that free energy has not significantly increased but epistasis has. We decomposed epistasis up to fifth order and found that higher-order epistasis sometimes compensates pairwise interactions making the free energy seem additive. The dN/dS ratio is low, suggesting strong purifying selection, and that structure is under stabilizing selection. We synthesized phages carrying ancestral haplotypes of the coat protein gene and measured their fitness experimentally. Our findings indicate that stabilizing mutations can have higher fitness, and that fitness optima do not necessarily coincide with energy minima. article_number: '20160139' article_processing_charge: Yes (in subscription journal) author: - first_name: Rodrigo A full_name: Fernandes Redondo, Rodrigo A id: 409D5C96-F248-11E8-B48F-1D18A9856A87 last_name: Fernandes Redondo orcid: 0000-0002-5837-2793 - first_name: Harold full_name: Vladar, Harold id: 2A181218-F248-11E8-B48F-1D18A9856A87 last_name: Vladar orcid: 0000-0002-5985-7653 - first_name: Tomasz full_name: Włodarski, Tomasz last_name: Włodarski - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 citation: ama: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. Journal of the Royal Society Interface. 2017;14(126). doi:10.1098/rsif.2016.0139 apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & Bollback, J. P. (2017). Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. Journal of the Royal Society Interface. Royal Society of London. https://doi.org/10.1098/rsif.2016.0139 chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan P Bollback. “Evolutionary Interplay between Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” Journal of the Royal Society Interface. Royal Society of London, 2017. https://doi.org/10.1098/rsif.2016.0139. ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family,” Journal of the Royal Society Interface, vol. 14, no. 126. Royal Society of London, 2017. ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2017. Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family. Journal of the Royal Society Interface. 14(126), 20160139. mla: Fernandes Redondo, Rodrigo A., et al. “Evolutionary Interplay between Structure, Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” Journal of the Royal Society Interface, vol. 14, no. 126, 20160139, Royal Society of London, 2017, doi:10.1098/rsif.2016.0139. short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, Journal of the Royal Society Interface 14 (2017). date_created: 2018-12-11T11:50:01Z date_published: 2017-01-04T00:00:00Z date_updated: 2023-09-20T11:56:34Z day: '04' ddc: - '570' department: - _id: NiBa - _id: JoBo doi: 10.1098/rsif.2016.0139 ec_funded: 1 external_id: isi: - '000393380400001' file: - access_level: open_access content_type: application/pdf creator: dernst date_created: 2019-01-18T09:14:02Z date_updated: 2019-01-18T09:14:02Z file_id: '5843' file_name: 2017_JRSI_Redondo.pdf file_size: 1092015 relation: main_file success: 1 file_date_updated: 2019-01-18T09:14:02Z has_accepted_license: '1' intvolume: ' 14' isi: 1 issue: '126' language: - iso: eng month: '01' oa: 1 oa_version: Published Version project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: Journal of the Royal Society Interface publication_identifier: issn: - '17425689' publication_status: published publisher: Royal Society of London publist_id: '6303' quality_controlled: '1' related_material: record: - id: '9864' relation: research_data status: public scopus_import: '1' status: public title: Evolutionary interplay between structure, energy and epistasis in the coat protein of the ϕX174 phage family tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 14 year: '2017' ... --- _id: '1074' abstract: - lang: eng text: Recently it has become feasible to detect long blocks of nearly identical sequence shared between pairs of genomes. These IBD blocks are direct traces of recent coalescence events and, as such, contain ample signal to infer recent demography. Here, we examine sharing of such blocks in two-dimensional populations with local migration. Using a diffusion approximation to trace genetic ancestry, we derive analytical formulae for patterns of isolation by distance of IBD blocks, which can also incorporate recent population density changes. We introduce an inference scheme that uses a composite likelihood approach to fit these formulae. We then extensively evaluate our theory and inference method on a range of scenarios using simulated data. We first validate the diffusion approximation by showing that the theoretical results closely match the simulated block sharing patterns. We then demonstrate that our inference scheme can accurately and robustly infer dispersal rate and effective density, as well as bounds on recent dynamics of population density. To demonstrate an application, we use our estimation scheme to explore the fit of a diffusion model to Eastern European samples in the POPRES data set. We show that ancestry diffusing with a rate of σ ≈ 50–100 km/√gen during the last centuries, combined with accelerating population growth, can explain the observed exponential decay of block sharing with increasing pairwise sample distance. article_processing_charge: No author: - first_name: Harald full_name: Ringbauer, Harald id: 417FCFF4-F248-11E8-B48F-1D18A9856A87 last_name: Ringbauer orcid: 0000-0002-4884-9682 - first_name: Graham full_name: Coop, Graham last_name: Coop - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Ringbauer H, Coop G, Barton NH. Inferring recent demography from isolation by distance of long shared sequence blocks. Genetics. 2017;205(3):1335-1351. doi:10.1534/genetics.116.196220 apa: Ringbauer, H., Coop, G., & Barton, N. H. (2017). Inferring recent demography from isolation by distance of long shared sequence blocks. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.196220 chicago: Ringbauer, Harald, Graham Coop, and Nicholas H Barton. “Inferring Recent Demography from Isolation by Distance of Long Shared Sequence Blocks.” Genetics. Genetics Society of America, 2017. https://doi.org/10.1534/genetics.116.196220. ieee: H. Ringbauer, G. Coop, and N. H. Barton, “Inferring recent demography from isolation by distance of long shared sequence blocks,” Genetics, vol. 205, no. 3. Genetics Society of America, pp. 1335–1351, 2017. ista: Ringbauer H, Coop G, Barton NH. 2017. Inferring recent demography from isolation by distance of long shared sequence blocks. Genetics. 205(3), 1335–1351. mla: Ringbauer, Harald, et al. “Inferring Recent Demography from Isolation by Distance of Long Shared Sequence Blocks.” Genetics, vol. 205, no. 3, Genetics Society of America, 2017, pp. 1335–51, doi:10.1534/genetics.116.196220. short: H. Ringbauer, G. Coop, N.H. Barton, Genetics 205 (2017) 1335–1351. date_created: 2018-12-11T11:50:00Z date_published: 2017-03-01T00:00:00Z date_updated: 2023-09-20T12:00:56Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.116.196220 ec_funded: 1 external_id: isi: - '000395807200023' intvolume: ' 205' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: http://www.biorxiv.org/content/early/2016/09/23/076810 month: '03' oa: 1 oa_version: Preprint page: 1335 - 1351 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Genetics publication_identifier: issn: - '00166731' publication_status: published publisher: Genetics Society of America publist_id: '6307' quality_controlled: '1' related_material: record: - id: '200' relation: dissertation_contains status: public scopus_import: '1' status: public title: Inferring recent demography from isolation by distance of long shared sequence blocks type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 205 year: '2017' ... --- _id: '1063' abstract: - lang: eng text: Severe environmental change can drive a population extinct unless the population adapts in time to the new conditions (“evolutionary rescue”). How does biparental sexual reproduction influence the chances of population persistence compared to clonal reproduction or selfing? In this article, we set up a one‐locus two‐allele model for adaptation in diploid species, where rescue is contingent on the establishment of the mutant homozygote. Reproduction can occur by random mating, selfing, or clonally. Random mating generates and destroys the rescue mutant; selfing is efficient at generating it but at the same time depletes the heterozygote, which can lead to a low mutant frequency in the standing genetic variation. Due to these (and other) antagonistic effects, we find a nontrivial dependence of population survival on the rate of sex/selfing, which is strongly influenced by the dominance coefficient of the mutation before and after the environmental change. Importantly, since mating with the wild‐type breaks the mutant homozygote up, a slow decay of the wild‐type population size can impede rescue in randomly mating populations. article_processing_charge: No author: - first_name: Hildegard full_name: Uecker, Hildegard id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87 last_name: Uecker orcid: 0000-0001-9435-2813 citation: ama: Uecker H. Evolutionary rescue in randomly mating, selfing, and clonal populations. Evolution. 2017;71(4):845-858. doi:10.1111/evo.13191 apa: Uecker, H. (2017). Evolutionary rescue in randomly mating, selfing, and clonal populations. Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.13191 chicago: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and Clonal Populations.” Evolution. Wiley-Blackwell, 2017. https://doi.org/10.1111/evo.13191. ieee: H. Uecker, “Evolutionary rescue in randomly mating, selfing, and clonal populations,” Evolution, vol. 71, no. 4. Wiley-Blackwell, pp. 845–858, 2017. ista: Uecker H. 2017. Evolutionary rescue in randomly mating, selfing, and clonal populations. Evolution. 71(4), 845–858. mla: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and Clonal Populations.” Evolution, vol. 71, no. 4, Wiley-Blackwell, 2017, pp. 845–58, doi:10.1111/evo.13191. short: H. Uecker, Evolution 71 (2017) 845–858. date_created: 2018-12-11T11:49:57Z date_published: 2017-04-01T00:00:00Z date_updated: 2023-09-20T12:10:32Z day: '01' department: - _id: NiBa doi: 10.1111/evo.13191 ec_funded: 1 external_id: isi: - '000398545200003' intvolume: ' 71' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: http://biorxiv.org/content/early/2016/10/14/081042 month: '04' oa: 1 oa_version: Submitted Version page: 845 - 858 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Evolution publication_identifier: issn: - '00143820' publication_status: published publisher: Wiley-Blackwell publist_id: '6327' quality_controlled: '1' scopus_import: '1' status: public title: Evolutionary rescue in randomly mating, selfing, and clonal populations type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 71 year: '2017' ... --- _id: '990' abstract: - lang: eng text: Assortative mating is an important driver of speciation in populations with gene flow and is predicted to evolve under certain conditions in few-locus models. However, the evolution of assortment is less understood for mating based on quantitative traits, which are often characterized by high genetic variability and extensive linkage disequilibrium between trait loci. We explore this scenario for a two-deme model with migration, by considering a single polygenic trait subject to divergent viability selection across demes, as well as assortative mating and sexual selection within demes, and investigate how trait divergence is shaped by various evolutionary forces. Our analysis reveals the existence of sharp thresholds of assortment strength, at which divergence increases dramatically. We also study the evolution of assortment via invasion of modifiers of mate discrimination and show that the ES assortment strength has an intermediate value under a range of migration-selection parameters, even in diverged populations, due to subtle effects which depend sensitively on the extent of phenotypic variation within these populations. The evolutionary dynamics of the polygenic trait is studied using the hypergeometric and infinitesimal models. We further investigate the sensitivity of our results to the assumptions of the hypergeometric model, using individual-based simulations. article_processing_charge: No author: - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Sachdeva H, Barton NH. Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow. Evolution; International Journal of Organic Evolution. 2017;71(6):1478-1493. doi:10.1111/evo.13252 apa: Sachdeva, H., & Barton, N. H. (2017). Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow. Evolution; International Journal of Organic Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.13252 chicago: Sachdeva, Himani, and Nicholas H Barton. “Divergence and Evolution of Assortative Mating in a Polygenic Trait Model of Speciation with Gene Flow.” Evolution; International Journal of Organic Evolution. Wiley-Blackwell, 2017. https://doi.org/10.1111/evo.13252. ieee: H. Sachdeva and N. H. Barton, “Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow,” Evolution; International Journal of Organic Evolution, vol. 71, no. 6. Wiley-Blackwell, pp. 1478–1493, 2017. ista: Sachdeva H, Barton NH. 2017. Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow. Evolution; International Journal of Organic Evolution. 71(6), 1478–1493. mla: Sachdeva, Himani, and Nicholas H. Barton. “Divergence and Evolution of Assortative Mating in a Polygenic Trait Model of Speciation with Gene Flow.” Evolution; International Journal of Organic Evolution, vol. 71, no. 6, Wiley-Blackwell, 2017, pp. 1478–93, doi:10.1111/evo.13252. short: H. Sachdeva, N.H. Barton, Evolution; International Journal of Organic Evolution 71 (2017) 1478–1493. date_created: 2018-12-11T11:49:34Z date_published: 2017-06-01T00:00:00Z date_updated: 2023-09-22T09:55:13Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1111/evo.13252 ec_funded: 1 external_id: isi: - '000403014800005' pmid: - '28419447' file: - access_level: open_access checksum: 6d4c38cb1347fd43620d1736c6df5c79 content_type: application/pdf creator: dernst date_created: 2019-04-17T07:37:04Z date_updated: 2020-07-14T12:48:18Z file_id: '6329' file_name: 2017_Evolution_Sachdeva_supplement.pdf file_size: 625260 relation: main_file - access_level: open_access checksum: f1d90dd8831b44baf49b4dd176f263af content_type: application/pdf creator: dernst date_created: 2019-04-17T07:37:04Z date_updated: 2020-07-14T12:48:18Z file_id: '6330' file_name: 2017_Evolution_Sachdeva_article.pdf file_size: 520110 relation: main_file file_date_updated: 2020-07-14T12:48:18Z has_accepted_license: '1' intvolume: ' 71' isi: 1 issue: '6' language: - iso: eng month: '06' oa: 1 oa_version: Submitted Version page: '1478 - 1493 ' pmid: 1 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Evolution; International Journal of Organic Evolution publication_identifier: issn: - '00143820' publication_status: published publisher: Wiley-Blackwell publist_id: '6409' pubrep_id: '977' quality_controlled: '1' scopus_import: '1' status: public title: Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 71 year: '2017' ... --- _id: '954' abstract: - lang: eng text: Understanding the relation between genotype and phenotype remains a major challenge. The difficulty of predicting individual mutation effects, and particularly the interactions between them, has prevented the development of a comprehensive theory that links genotypic changes to their phenotypic effects. We show that a general thermodynamic framework for gene regulation, based on a biophysical understanding of protein-DNA binding, accurately predicts the sign of epistasis in a canonical cis-regulatory element consisting of overlapping RNA polymerase and repressor binding sites. Sign and magnitude of individual mutation effects are sufficient to predict the sign of epistasis and its environmental dependence. Thus, the thermodynamic model offers the correct null prediction for epistasis between mutations across DNA-binding sites. Our results indicate that a predictive theory for the effects of cis-regulatory mutations is possible from first principles, as long as the essential molecular mechanisms and the constraints these impose on a biological system are accounted for. article_number: e25192 article_processing_charge: Yes author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. On the mechanistic nature of epistasis in a canonical cis-regulatory element. eLife. 2017;6. doi:10.7554/eLife.25192 apa: Lagator, M., Paixao, T., Barton, N. H., Bollback, J. P., & Guet, C. C. (2017). On the mechanistic nature of epistasis in a canonical cis-regulatory element. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.25192 chicago: Lagator, Mato, Tiago Paixao, Nicholas H Barton, Jonathan P Bollback, and Calin C Guet. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory Element.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25192. ieee: M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife, vol. 6. eLife Sciences Publications, 2017. ista: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. 2017. On the mechanistic nature of epistasis in a canonical cis-regulatory element. eLife. 6, e25192. mla: Lagator, Mato, et al. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory Element.” ELife, vol. 6, e25192, eLife Sciences Publications, 2017, doi:10.7554/eLife.25192. short: M. Lagator, T. Paixao, N.H. Barton, J.P. Bollback, C.C. Guet, ELife 6 (2017). date_created: 2018-12-11T11:49:23Z date_published: 2017-05-18T00:00:00Z date_updated: 2023-09-22T10:01:17Z day: '18' ddc: - '576' department: - _id: CaGu - _id: NiBa - _id: JoBo doi: 10.7554/eLife.25192 ec_funded: 1 external_id: isi: - '000404024800001' file: - access_level: open_access checksum: 59cdd4400fb41280122d414fea971546 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:49Z date_updated: 2020-07-14T12:48:16Z file_id: '5306' file_name: IST-2017-841-v1+1_elife-25192-v2.pdf file_size: 2441529 relation: main_file - access_level: open_access checksum: b69024880558b858eb8c5d47a92b6377 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:50Z date_updated: 2020-07-14T12:48:16Z file_id: '5307' file_name: IST-2017-841-v1+2_elife-25192-figures-v2.pdf file_size: 3752660 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 6' isi: 1 language: - iso: eng month: '05' oa: 1 oa_version: Published Version project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: eLife publication_identifier: issn: - 2050084X publication_status: published publisher: eLife Sciences Publications publist_id: '6460' pubrep_id: '841' quality_controlled: '1' scopus_import: '1' status: public title: On the mechanistic nature of epistasis in a canonical cis-regulatory element tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 6 year: '2017' ... --- _id: '955' abstract: - lang: eng text: 'Gene expression is controlled by networks of regulatory proteins that interact specifically with external signals and DNA regulatory sequences. These interactions force the network components to co-evolve so as to continually maintain function. Yet, existing models of evolution mostly focus on isolated genetic elements. In contrast, we study the essential process by which regulatory networks grow: the duplication and subsequent specialization of network components. We synthesize a biophysical model of molecular interactions with the evolutionary framework to find the conditions and pathways by which new regulatory functions emerge. We show that specialization of new network components is usually slow, but can be drastically accelerated in the presence of regulatory crosstalk and mutations that promote promiscuous interactions between network components.' article_number: '216' article_processing_charge: Yes (in subscription journal) author: - first_name: Tamar full_name: Friedlander, Tamar id: 36A5845C-F248-11E8-B48F-1D18A9856A87 last_name: Friedlander - first_name: Roshan full_name: Prizak, Roshan id: 4456104E-F248-11E8-B48F-1D18A9856A87 last_name: Prizak - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 citation: ama: Friedlander T, Prizak R, Barton NH, Tkačik G. Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. 2017;8(1). doi:10.1038/s41467-017-00238-8 apa: Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8 chicago: Friedlander, Tamar, Roshan Prizak, Nicholas H Barton, and Gašper Tkačik. “Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.” Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/s41467-017-00238-8. ieee: T. Friedlander, R. Prizak, N. H. Barton, and G. Tkačik, “Evolution of new regulatory functions on biophysically realistic fitness landscapes,” Nature Communications, vol. 8, no. 1. Nature Publishing Group, 2017. ista: Friedlander T, Prizak R, Barton NH, Tkačik G. 2017. Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. 8(1), 216. mla: Friedlander, Tamar, et al. “Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.” Nature Communications, vol. 8, no. 1, 216, Nature Publishing Group, 2017, doi:10.1038/s41467-017-00238-8. short: T. Friedlander, R. Prizak, N.H. Barton, G. Tkačik, Nature Communications 8 (2017). date_created: 2018-12-11T11:49:23Z date_published: 2017-08-09T00:00:00Z date_updated: 2023-09-22T10:00:49Z day: '09' ddc: - '539' - '576' department: - _id: GaTk - _id: NiBa doi: 10.1038/s41467-017-00238-8 ec_funded: 1 external_id: isi: - '000407198800005' file: - access_level: open_access checksum: 29a1b5db458048d3bd5c67e0e2a56818 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:14Z date_updated: 2020-07-14T12:48:16Z file_id: '5064' file_name: IST-2017-864-v1+1_s41467-017-00238-8.pdf file_size: 998157 relation: main_file - access_level: open_access checksum: 7b78401e52a576cf3e6bbf8d0abadc17 content_type: application/pdf creator: system date_created: 2018-12-12T10:14:15Z date_updated: 2020-07-14T12:48:16Z file_id: '5065' file_name: IST-2017-864-v1+2_41467_2017_238_MOESM1_ESM.pdf file_size: 9715993 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 8' isi: 1 issue: '1' language: - iso: eng month: '08' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 254E9036-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P28844-B27 name: Biophysics of information processing in gene regulation publication: Nature Communications publication_identifier: issn: - '20411723' publication_status: published publisher: Nature Publishing Group publist_id: '6459' pubrep_id: '864' quality_controlled: '1' related_material: record: - id: '6071' relation: dissertation_contains status: public scopus_import: '1' status: public title: Evolution of new regulatory functions on biophysically realistic fitness landscapes tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 8 year: '2017' ... --- _id: '953' abstract: - lang: eng text: 'The role of natural selection in the evolution of adaptive phenotypes has undergone constant probing by evolutionary biologists, employing both theoretical and empirical approaches. As Darwin noted, natural selection can act together with other processes, including random changes in the frequencies of phenotypic differences that are not under strong selection, and changes in the environment, which may reflect evolutionary changes in the organisms themselves. As understanding of genetics developed after 1900, the new genetic discoveries were incorporated into evolutionary biology. The resulting general principles were summarized by Julian Huxley in his 1942 book Evolution: the modern synthesis. Here, we examine how recent advances in genetics, developmental biology and molecular biology, including epigenetics, relate to today''s understanding of the evolution of adaptations. We illustrate how careful genetic studies have repeatedly shown that apparently puzzling results in a wide diversity of organisms involve processes that are consistent with neo-Darwinism. They do not support important roles in adaptation for processes such as directed mutation or the inheritance of acquired characters, and therefore no radical revision of our understanding of the mechanism of adaptive evolution is needed.' article_number: '20162864' article_processing_charge: No author: - first_name: Deborah full_name: Charlesworth, Deborah last_name: Charlesworth - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Brian full_name: Charlesworth, Brian last_name: Charlesworth citation: ama: Charlesworth D, Barton NH, Charlesworth B. The sources of adaptive evolution. Proceedings of the Royal Society of London Series B Biological Sciences. 2017;284(1855). doi:10.1098/rspb.2016.2864 apa: Charlesworth, D., Barton, N. H., & Charlesworth, B. (2017). The sources of adaptive evolution. Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The. https://doi.org/10.1098/rspb.2016.2864 chicago: Charlesworth, Deborah, Nicholas H Barton, and Brian Charlesworth. “The Sources of Adaptive Evolution.” Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The, 2017. https://doi.org/10.1098/rspb.2016.2864. ieee: D. Charlesworth, N. H. Barton, and B. Charlesworth, “The sources of adaptive evolution,” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 284, no. 1855. Royal Society, The, 2017. ista: Charlesworth D, Barton NH, Charlesworth B. 2017. The sources of adaptive evolution. Proceedings of the Royal Society of London Series B Biological Sciences. 284(1855), 20162864. mla: Charlesworth, Deborah, et al. “The Sources of Adaptive Evolution.” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 284, no. 1855, 20162864, Royal Society, The, 2017, doi:10.1098/rspb.2016.2864. short: D. Charlesworth, N.H. Barton, B. Charlesworth, Proceedings of the Royal Society of London Series B Biological Sciences 284 (2017). date_created: 2018-12-11T11:49:23Z date_published: 2017-05-31T00:00:00Z date_updated: 2023-09-22T10:01:48Z day: '31' department: - _id: NiBa doi: 10.1098/rspb.2016.2864 external_id: isi: - '000405148800021' pmid: - '28566483' intvolume: ' 284' isi: 1 issue: '1855' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454256/ month: '05' oa: 1 oa_version: Submitted Version pmid: 1 publication: Proceedings of the Royal Society of London Series B Biological Sciences publication_status: published publisher: Royal Society, The publist_id: '6462' quality_controlled: '1' scopus_import: '1' status: public title: The sources of adaptive evolution type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 284 year: '2017' ... --- _id: '952' abstract: - lang: eng text: A novel strategy for controlling the spread of arboviral diseases such as dengue, Zika and chikungunya is to transform mosquito populations with virus-suppressing Wolbachia. In general, Wolbachia transinfected into mosquitoes induce fitness costs through lower viability or fecundity. These maternally inherited bacteria also produce a frequency-dependent advantage for infected females by inducing cytoplasmic incompatibility (CI), which kills the embryos produced by uninfected females mated to infected males. These competing effects, a frequency-dependent advantage and frequency-independent costs, produce bistable Wolbachia frequency dynamics. Above a threshold frequency, denoted pˆ, CI drives fitness-decreasing Wolbachia transinfections through local populations; but below pˆ, infection frequencies tend to decline to zero. If pˆ is not too high, CI also drives spatial spread once infections become established over sufficiently large areas. We illustrate how simple models provide testable predictions concerning the spatial and temporal dynamics of Wolbachia introductions, focusing on rate of spatial spread, the shape of spreading waves, and the conditions for initiating spread from local introductions. First, we consider the robustness of diffusion-based predictions to incorporating two important features of wMel-Aedes aegypti biology that may be inconsistent with the diffusion approximations, namely fast local dynamics induced by complete CI (i.e., all embryos produced from incompatible crosses die) and long-tailed, non-Gaussian dispersal. With complete CI, our numerical analyses show that long-tailed dispersal changes wave-width predictions only slightly; but it can significantly reduce wave speed relative to the diffusion prediction; it also allows smaller local introductions to initiate spatial spread. Second, we use approximations for pˆ and dispersal distances to predict the outcome of 2013 releases of wMel-infected Aedes aegypti in Cairns, Australia, Third, we describe new data from Ae. aegypti populations near Cairns, Australia that demonstrate long-distance dispersal and provide an approximate lower bound on pˆ for wMel in northeastern Australia. Finally, we apply our analyses to produce operational guidelines for efficient transformation of vector populations over large areas. We demonstrate that even very slow spatial spread, on the order of 10-20 m/month (as predicted), can produce area-wide population transformation within a few years following initial releases covering about 20-30% of the target area. article_processing_charge: No author: - first_name: Michael full_name: Turelli, Michael last_name: Turelli - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Turelli M, Barton NH. Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti. Theoretical Population Biology. 2017;115:45-60. doi:10.1016/j.tpb.2017.03.003' apa: 'Turelli, M., & Barton, N. H. (2017). Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti. Theoretical Population Biology. Elsevier. https://doi.org/10.1016/j.tpb.2017.03.003' chicago: 'Turelli, Michael, and Nicholas H Barton. “Deploying Dengue-Suppressing Wolbachia: Robust Models Predict Slow but Effective Spatial Spread in Aedes Aegypti.” Theoretical Population Biology. Elsevier, 2017. https://doi.org/10.1016/j.tpb.2017.03.003.' ieee: 'M. Turelli and N. H. Barton, “Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti,” Theoretical Population Biology, vol. 115. Elsevier, pp. 45–60, 2017.' ista: 'Turelli M, Barton NH. 2017. Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti. Theoretical Population Biology. 115, 45–60.' mla: 'Turelli, Michael, and Nicholas H. Barton. “Deploying Dengue-Suppressing Wolbachia: Robust Models Predict Slow but Effective Spatial Spread in Aedes Aegypti.” Theoretical Population Biology, vol. 115, Elsevier, 2017, pp. 45–60, doi:10.1016/j.tpb.2017.03.003.' short: M. Turelli, N.H. Barton, Theoretical Population Biology 115 (2017) 45–60. date_created: 2018-12-11T11:49:22Z date_published: 2017-06-01T00:00:00Z date_updated: 2023-09-22T10:02:21Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1016/j.tpb.2017.03.003 external_id: pmid: - '28411063' file: - access_level: open_access checksum: 9aeff86fa7de69f7a15cf4fc60d57d01 content_type: application/pdf creator: dernst date_created: 2019-04-17T06:39:45Z date_updated: 2020-07-14T12:48:16Z file_id: '6327' file_name: 2017_TheoreticalPopulationBio_Turelli.pdf file_size: 2073856 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 115' language: - iso: eng month: '06' oa: 1 oa_version: Submitted Version page: 45 - 60 pmid: 1 publication: Theoretical Population Biology publication_identifier: issn: - '00405809' publication_status: published publisher: Elsevier publist_id: '6463' pubrep_id: '972' quality_controlled: '1' scopus_import: '1' status: public title: 'Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti' tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 115 year: '2017' ... --- _id: '951' abstract: - lang: eng text: Dengue-suppressing Wolbachia strains are promising tools for arbovirus control, particularly as they have the potential to self-spread following local introductions. To test this, we followed the frequency of the transinfected Wolbachia strain wMel through Ae. aegypti in Cairns, Australia, following releases at 3 nonisolated locations within the city in early 2013. Spatial spread was analysed graphically using interpolation and by fitting a statistical model describing the position and width of the wave. For the larger 2 of the 3 releases (covering 0.97 km2 and 0.52 km2), we observed slow but steady spatial spread, at about 100–200 m per year, roughly consistent with theoretical predictions. In contrast, the smallest release (0.11 km2) produced erratic temporal and spatial dynamics, with little evidence of spread after 2 years. This is consistent with the prediction concerning fitness-decreasing Wolbachia transinfections that a minimum release area is needed to achieve stable local establishment and spread in continuous habitats. Our graphical and likelihood analyses produced broadly consistent estimates of wave speed and wave width. Spread at all sites was spatially heterogeneous, suggesting that environmental heterogeneity will affect large-scale Wolbachia transformations of urban mosquito populations. The persistence and spread of Wolbachia in release areas meeting minimum area requirements indicates the promise of successful large-scale population transfo article_number: e2001894 article_processing_charge: No author: - first_name: Tom full_name: Schmidt, Tom last_name: Schmidt - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gordana full_name: Rasic, Gordana last_name: Rasic - first_name: Andrew full_name: Turley, Andrew last_name: Turley - first_name: Brian full_name: Montgomery, Brian last_name: Montgomery - first_name: Inaki full_name: Iturbe Ormaetxe, Inaki last_name: Iturbe Ormaetxe - first_name: Peter full_name: Cook, Peter last_name: Cook - first_name: Peter full_name: Ryan, Peter last_name: Ryan - first_name: Scott full_name: Ritchie, Scott last_name: Ritchie - first_name: Ary full_name: Hoffmann, Ary last_name: Hoffmann - first_name: Scott full_name: O’Neill, Scott last_name: O’Neill - first_name: Michael full_name: Turelli, Michael last_name: Turelli citation: ama: Schmidt T, Barton NH, Rasic G, et al. Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti. PLoS Biology. 2017;15(5). doi:10.1371/journal.pbio.2001894 apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I., … Turelli, M. (2017). Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2001894 chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery, Inaki Iturbe Ormaetxe, Peter Cook, et al. “Local Introduction and Heterogeneous Spatial Spread of Dengue-Suppressing Wolbachia through an Urban Population of Aedes Aegypti.” PLoS Biology. Public Library of Science, 2017. https://doi.org/10.1371/journal.pbio.2001894. ieee: T. Schmidt et al., “Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti,” PLoS Biology, vol. 15, no. 5. Public Library of Science, 2017. ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I, Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti. PLoS Biology. 15(5), e2001894. mla: Schmidt, Tom, et al. “Local Introduction and Heterogeneous Spatial Spread of Dengue-Suppressing Wolbachia through an Urban Population of Aedes Aegypti.” PLoS Biology, vol. 15, no. 5, e2001894, Public Library of Science, 2017, doi:10.1371/journal.pbio.2001894. short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe, P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, PLoS Biology 15 (2017). date_created: 2018-12-11T11:49:22Z date_published: 2017-05-30T00:00:00Z date_updated: 2023-09-22T10:02:52Z day: '30' ddc: - '576' department: - _id: NiBa doi: 10.1371/journal.pbio.2001894 external_id: isi: - '000402520000012' file: - access_level: open_access checksum: 107d290bd1159ec77b734eb2824b01c8 content_type: application/pdf creator: system date_created: 2018-12-12T10:08:30Z date_updated: 2020-07-14T12:48:16Z file_id: '4691' file_name: IST-2017-843-v1+1_journal.pbio.2001894.pdf file_size: 5541206 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 15' isi: 1 issue: '5' language: - iso: eng month: '05' oa: 1 oa_version: Published Version publication: PLoS Biology publication_identifier: issn: - '15449173' publication_status: published publisher: Public Library of Science publist_id: '6464' pubrep_id: '843' quality_controlled: '1' related_material: record: - id: '9856' relation: research_data status: public - id: '9857' relation: research_data status: public - id: '9858' relation: research_data status: public scopus_import: '1' status: public title: Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 15 year: '2017' ... --- _id: '9858' article_processing_charge: No author: - first_name: Tom full_name: Schmidt, Tom last_name: Schmidt - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gordana full_name: Rasic, Gordana last_name: Rasic - first_name: Andrew full_name: Turley, Andrew last_name: Turley - first_name: Brian full_name: Montgomery, Brian last_name: Montgomery - first_name: Inaki full_name: Iturbe Ormaetxe, Inaki last_name: Iturbe Ormaetxe - first_name: Peter full_name: Cook, Peter last_name: Cook - first_name: Peter full_name: Ryan, Peter last_name: Ryan - first_name: Scott full_name: Ritchie, Scott last_name: Ritchie - first_name: Ary full_name: Hoffmann, Ary last_name: Hoffmann - first_name: Scott full_name: O’Neill, Scott last_name: O’Neill - first_name: Michael full_name: Turelli, Michael last_name: Turelli citation: ama: Schmidt T, Barton NH, Rasic G, et al. Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics. 2017. doi:10.1371/journal.pbio.2001894.s016 apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I., … Turelli, M. (2017). Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics. Public Library of Science. https://doi.org/10.1371/journal.pbio.2001894.s016 chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery, Inaki Iturbe Ormaetxe, Peter Cook, et al. “Excel File with Data on Mosquito Densities, Wolbachia Infection Status and Housing Characteristics.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pbio.2001894.s016. ieee: T. Schmidt et al., “Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics.” Public Library of Science, 2017. ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I, Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics, Public Library of Science, 10.1371/journal.pbio.2001894.s016. mla: Schmidt, Tom, et al. Excel File with Data on Mosquito Densities, Wolbachia Infection Status and Housing Characteristics. Public Library of Science, 2017, doi:10.1371/journal.pbio.2001894.s016. short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe, P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, (2017). date_created: 2021-08-10T07:47:07Z date_published: 2017-05-30T00:00:00Z date_updated: 2023-09-22T10:02:51Z day: '30' department: - _id: NiBa doi: 10.1371/journal.pbio.2001894.s016 month: '05' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '951' relation: used_in_publication status: public status: public title: Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ... --- _id: '9857' article_processing_charge: No author: - first_name: Tom full_name: Schmidt, Tom last_name: Schmidt - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Gordana full_name: Rasic, Gordana last_name: Rasic - first_name: Andrew full_name: Turley, Andrew last_name: Turley - first_name: Brian full_name: Montgomery, Brian last_name: Montgomery - first_name: Inaki full_name: Iturbe Ormaetxe, Inaki last_name: Iturbe Ormaetxe - first_name: Peter full_name: Cook, Peter last_name: Cook - first_name: Peter full_name: Ryan, Peter last_name: Ryan - first_name: Scott full_name: Ritchie, Scott last_name: Ritchie - first_name: Ary full_name: Hoffmann, Ary last_name: Hoffmann - first_name: Scott full_name: O’Neill, Scott last_name: O’Neill - first_name: Michael full_name: Turelli, Michael last_name: Turelli citation: ama: Schmidt T, Barton NH, Rasic G, et al. Supporting information concerning observed wMel frequencies and analyses of habitat variables. 2017. doi:10.1371/journal.pbio.2001894.s015 apa: Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I., … Turelli, M. (2017). Supporting information concerning observed wMel frequencies and analyses of habitat variables. Public Library of Science . https://doi.org/10.1371/journal.pbio.2001894.s015 chicago: Schmidt, Tom, Nicholas H Barton, Gordana Rasic, Andrew Turley, Brian Montgomery, Inaki Iturbe Ormaetxe, Peter Cook, et al. “Supporting Information Concerning Observed WMel Frequencies and Analyses of Habitat Variables.” Public Library of Science , 2017. https://doi.org/10.1371/journal.pbio.2001894.s015. ieee: T. Schmidt et al., “Supporting information concerning observed wMel frequencies and analyses of habitat variables.” Public Library of Science , 2017. ista: Schmidt T, Barton NH, Rasic G, Turley A, Montgomery B, Iturbe Ormaetxe I, Cook P, Ryan P, Ritchie S, Hoffmann A, O’Neill S, Turelli M. 2017. Supporting information concerning observed wMel frequencies and analyses of habitat variables, Public Library of Science , 10.1371/journal.pbio.2001894.s015. mla: Schmidt, Tom, et al. Supporting Information Concerning Observed WMel Frequencies and Analyses of Habitat Variables. Public Library of Science , 2017, doi:10.1371/journal.pbio.2001894.s015. short: T. Schmidt, N.H. Barton, G. Rasic, A. Turley, B. Montgomery, I. Iturbe Ormaetxe, P. Cook, P. Ryan, S. Ritchie, A. Hoffmann, S. O’Neill, M. Turelli, (2017). date_created: 2021-08-10T07:41:52Z date_published: 2017-05-30T00:00:00Z date_updated: 2023-09-22T10:02:51Z day: '30' department: - _id: NiBa doi: 10.1371/journal.pbio.2001894.s015 month: '05' oa_version: Published Version publisher: 'Public Library of Science ' related_material: record: - id: '951' relation: used_in_publication status: public status: public title: Supporting information concerning observed wMel frequencies and analyses of habitat variables type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2017' ...