--- _id: '12157' abstract: - lang: eng text: 'Polygenic adaptation is thought to be ubiquitous, yet remains poorly understood. Here, we model this process analytically, in the plausible setting of a highly polygenic, quantitative trait that experiences a sudden shift in the fitness optimum. We show how the mean phenotype changes over time, depending on the effect sizes of loci that contribute to variance in the trait, and characterize the allele dynamics at these loci. Notably, we describe the two phases of the allele dynamics: The first is a rapid phase, in which directional selection introduces small frequency differences between alleles whose effects are aligned with or opposed to the shift, ultimately leading to small differences in their probability of fixation during a second, longer phase, governed by stabilizing selection. As we discuss, key results should hold in more general settings and have important implications for efforts to identify the genetic basis of adaptation in humans and other species.' acknowledgement: "We thank Guy Amster, Jeremy Berg, Nick Barton, Yuval Simons and Molly Przeworski for many helpful discussions, and Jeremy Berg, Graham Coop, Joachim Hermisson, Guillaume Martin, Will Milligan, Peter Ralph, Yuval Simons, Leo Speidel and Molly Przeworski for comments on the manuscript.\r\nNational Institutes of Health GM115889 Laura Katharine Hayward Guy Sella \r\nNational Institutes of Health GM121372 Laura Katharine Hayward" article_number: '66697' article_processing_charge: No article_type: original author: - first_name: Laura full_name: Hayward, Laura id: fc885ee5-24bf-11eb-ad7b-bcc5104c0c1b last_name: Hayward - first_name: Guy full_name: Sella, Guy last_name: Sella citation: ama: Hayward L, Sella G. Polygenic adaptation after a sudden change in environment. eLife. 2022;11. doi:10.7554/elife.66697 apa: Hayward, L., & Sella, G. (2022). Polygenic adaptation after a sudden change in environment. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.66697 chicago: Hayward, Laura, and Guy Sella. “Polygenic Adaptation after a Sudden Change in Environment.” ELife. eLife Sciences Publications, 2022. https://doi.org/10.7554/elife.66697. ieee: L. Hayward and G. Sella, “Polygenic adaptation after a sudden change in environment,” eLife, vol. 11. eLife Sciences Publications, 2022. ista: Hayward L, Sella G. 2022. Polygenic adaptation after a sudden change in environment. eLife. 11, 66697. mla: Hayward, Laura, and Guy Sella. “Polygenic Adaptation after a Sudden Change in Environment.” ELife, vol. 11, 66697, eLife Sciences Publications, 2022, doi:10.7554/elife.66697. short: L. Hayward, G. Sella, ELife 11 (2022). corr_author: '1' date_created: 2023-01-12T12:09:00Z date_published: 2022-09-26T00:00:00Z date_updated: 2024-10-09T21:03:38Z day: '26' ddc: - '570' department: - _id: NiBa doi: 10.7554/elife.66697 external_id: isi: - '000890735600001' file: - access_level: open_access checksum: 28de155b231ac1c8d4501c98b2fb359a content_type: application/pdf creator: dernst date_created: 2023-01-24T12:21:32Z date_updated: 2023-01-24T12:21:32Z file_id: '12363' file_name: 2022_eLife_Hayward.pdf file_size: 18935612 relation: main_file success: 1 file_date_updated: 2023-01-24T12:21:32Z has_accepted_license: '1' intvolume: ' 11' isi: 1 keyword: - General Immunology and Microbiology - General Biochemistry - Genetics and Molecular Biology - General Medicine - General Neuroscience language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '09' oa: 1 oa_version: Published Version publication: eLife publication_identifier: eissn: - 2050-084X publication_status: published publisher: eLife Sciences Publications quality_controlled: '1' scopus_import: '1' status: public title: Polygenic adaptation after a sudden change in environment 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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 11 year: '2022' ... --- _id: '12234' abstract: - lang: eng text: Hybrid speciation—the origin of new species resulting from the hybridization of genetically divergent lineages—was once considered rare, but genomic data suggest that it may occur more often than once thought. In this study, Noguerales and Ortego found genomic evidence supporting the hybrid origin of a grasshopper that is able to exploit a broader range of host plants than either of its putative parents. article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski citation: ama: 'Stankowski S. Digest: On the origin of a possible hybrid species. Evolution. 2022;76(11):2784-2785. doi:10.1111/evo.14632' apa: 'Stankowski, S. (2022). Digest: On the origin of a possible hybrid species. Evolution. Wiley. https://doi.org/10.1111/evo.14632' chicago: 'Stankowski, Sean. “Digest: On the Origin of a Possible Hybrid Species.” Evolution. Wiley, 2022. https://doi.org/10.1111/evo.14632.' ieee: 'S. Stankowski, “Digest: On the origin of a possible hybrid species,” Evolution, vol. 76, no. 11. Wiley, pp. 2784–2785, 2022.' ista: 'Stankowski S. 2022. Digest: On the origin of a possible hybrid species. Evolution. 76(11), 2784–2785.' mla: 'Stankowski, Sean. “Digest: On the Origin of a Possible Hybrid Species.” Evolution, vol. 76, no. 11, Wiley, 2022, pp. 2784–85, doi:10.1111/evo.14632.' short: S. Stankowski, Evolution 76 (2022) 2784–2785. corr_author: '1' date_created: 2023-01-16T09:50:48Z date_published: 2022-11-01T00:00:00Z date_updated: 2025-06-11T13:40:40Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/evo.14632 external_id: isi: - '000855751600001' pmid: - '36112597' file: - access_level: open_access checksum: 4c0f05083b414ac0323a1b9ee1abc275 content_type: application/pdf creator: dernst date_created: 2023-01-27T11:28:38Z date_updated: 2023-01-27T11:28:38Z file_id: '12425' file_name: 2022_Evolution_Stankowski.pdf file_size: 287282 relation: main_file success: 1 file_date_updated: 2023-01-27T11:28:38Z has_accepted_license: '1' intvolume: ' 76' isi: 1 issue: '11' keyword: - General Agricultural and Biological Sciences - Genetics - Ecology - Evolution - Behavior and Systematics language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '11' oa: 1 oa_version: Published Version page: 2784-2785 pmid: 1 publication: Evolution publication_identifier: eissn: - 1558-5646 issn: - 0014-3820 publication_status: published publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: 'Digest: On the origin of a possible hybrid species' 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: 76 year: '2022' ... --- _id: '12247' abstract: - lang: eng text: Chromosomal inversions have been shown to play a major role in a local adaptation by suppressing recombination between alternative arrangements and maintaining beneficial allele combinations. However, so far, their importance relative to the remaining genome remains largely unknown. Understanding the genetic architecture of adaptation requires better estimates of how loci of different effect sizes contribute to phenotypic variation. Here, we used three Swedish islands where the marine snail Littorina saxatilis has repeatedly evolved into two distinct ecotypes along a habitat transition. We estimated the contribution of inversion polymorphisms to phenotypic divergence while controlling for polygenic effects in the remaining genome using a quantitative genetics framework. We confirmed the importance of inversions but showed that contributions of loci outside inversions are of similar magnitude, with variable proportions dependent on the trait and the population. Some inversions showed consistent effects across all sites, whereas others exhibited site-specific effects, indicating that the genomic basis for replicated phenotypic divergence is only partly shared. The contributions of sexual dimorphism as well as environmental factors to phenotypic variation were significant but minor compared to inversions and polygenic background. Overall, this integrated approach provides insight into the multiple mechanisms contributing to parallel phenotypic divergence. acknowledgement: We thank everyone who helped with fieldwork, snail processing, and DNA extractions, particularly Laura Brettell, Mårten Duvetorp, Juan Galindo, Anne-Lise Liabot, Irena Senčić, and Zuzanna Zagrodzka. We also thank Rui Faria and Jenny Larsson for their contributions, with inversions and shell shape respectively. KJ was funded by the Swedish research council Vetenskapsrådet, grant number 2017-03798. R.K.B. and E.K. were funded by the European Research Council (ERC-2015-AdG-693030-BARRIERS). R.K.B. was also funded by the Natural Environment Research Council and the Swedish Research Council Vetenskapsrådet. article_processing_charge: No article_type: original author: - first_name: Eva L. full_name: Koch, Eva L. last_name: Koch - first_name: Mark full_name: Ravinet, Mark last_name: Ravinet - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Kerstin full_name: Johannesson, Kerstin last_name: Johannesson - first_name: Roger K. full_name: Butlin, Roger K. last_name: Butlin citation: ama: Koch EL, Ravinet M, Westram AM, Johannesson K, Butlin RK. Genetic architecture of repeated phenotypic divergence in Littorina saxatilis evolution. Evolution. 2022;76(10):2332-2346. doi:10.1111/evo.14602 apa: Koch, E. L., Ravinet, M., Westram, A. M., Johannesson, K., & Butlin, R. K. (2022). Genetic architecture of repeated phenotypic divergence in Littorina saxatilis evolution. Evolution. Wiley. https://doi.org/10.1111/evo.14602 chicago: Koch, Eva L., Mark Ravinet, Anja M Westram, Kerstin Johannesson, and Roger K. Butlin. “Genetic Architecture of Repeated Phenotypic Divergence in Littorina Saxatilis Evolution.” Evolution. Wiley, 2022. https://doi.org/10.1111/evo.14602. ieee: E. L. Koch, M. Ravinet, A. M. Westram, K. Johannesson, and R. K. Butlin, “Genetic architecture of repeated phenotypic divergence in Littorina saxatilis evolution,” Evolution, vol. 76, no. 10. Wiley, pp. 2332–2346, 2022. ista: Koch EL, Ravinet M, Westram AM, Johannesson K, Butlin RK. 2022. Genetic architecture of repeated phenotypic divergence in Littorina saxatilis evolution. Evolution. 76(10), 2332–2346. mla: Koch, Eva L., et al. “Genetic Architecture of Repeated Phenotypic Divergence in Littorina Saxatilis Evolution.” Evolution, vol. 76, no. 10, Wiley, 2022, pp. 2332–46, doi:10.1111/evo.14602. short: E.L. Koch, M. Ravinet, A.M. Westram, K. Johannesson, R.K. Butlin, Evolution 76 (2022) 2332–2346. date_created: 2023-01-16T09:54:15Z date_published: 2022-10-01T00:00:00Z date_updated: 2023-08-04T09:42:11Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/evo.14602 external_id: isi: - '000848449100001' pmid: - '35994296' file: - access_level: open_access checksum: defd8a4bea61cf00a3c88d4a30e2728c content_type: application/pdf creator: dernst date_created: 2023-01-30T08:45:35Z date_updated: 2023-01-30T08:45:35Z file_id: '12439' file_name: 2022_Evolution_Koch.pdf file_size: 2990581 relation: main_file success: 1 file_date_updated: 2023-01-30T08:45:35Z has_accepted_license: '1' intvolume: ' 76' isi: 1 issue: '10' keyword: - General Agricultural and Biological Sciences - Genetics - Ecology - Evolution - Behavior and Systematics language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 2332-2346 pmid: 1 publication: Evolution publication_identifier: eissn: - 1558-5646 issn: - 0014-3820 publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '13066' relation: research_data status: public scopus_import: '1' status: public title: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis 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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 76 year: '2022' ... --- _id: '12264' abstract: - lang: eng text: Reproductive isolation (RI) is a core concept in evolutionary biology. It has been the central focus of speciation research since the modern synthesis and is the basis by which biological species are defined. Despite this, the term is used in seemingly different ways, and attempts to quantify RI have used very different approaches. After showing that the field lacks a clear definition of the term, we attempt to clarify key issues, including what RI is, how it can be quantified in principle, and how it can be measured in practice. Following other definitions with a genetic focus, we propose that RI is a quantitative measure of the effect that genetic differences between populations have on gene flow. Specifically, RI compares the flow of neutral alleles in the presence of these genetic differences to the flow without any such differences. RI is thus greater than zero when genetic differences between populations reduce the flow of neutral alleles between populations. We show how RI can be quantified in a range of scenarios. A key conclusion is that RI depends strongly on circumstances—including the spatial, temporal and genomic context—making it difficult to compare across systems. After reviewing methods for estimating RI from data, we conclude that it is difficult to measure in practice. We discuss our findings in light of the goals of speciation research and encourage the use of methods for estimating RI that integrate organismal and genetic approaches. acknowledgement: 'We are grateful to the participants of the ESEB satellite symposium ‘Understanding reproductive isolation: bridging conceptual barriers in speciation research’ in 2021 for the interesting discussions that helped us clarify the thoughts presented in this article. We thank Roger Butlin, Michael Turelli and two anonymous reviewers for their thoughtful comments on this manuscript. We are also very grateful to Roger Butlin and the Barton Group for the continued conversa-tions about RI. In addition, we thank all participants of the speciation survey. Part of this work was funded by the Austrian Science Fund FWF (grant P 32166)' article_processing_charge: Yes (via OA deal) article_type: review author: - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski - first_name: Parvathy full_name: Surendranadh, Parvathy id: 455235B8-F248-11E8-B48F-1D18A9856A87 last_name: Surendranadh orcid: 0000-0001-6395-386X - 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: Westram AM, Stankowski S, Surendranadh P, Barton NH. What is reproductive isolation? Journal of Evolutionary Biology. 2022;35(9):1143-1164. doi:10.1111/jeb.14005 apa: Westram, A. M., Stankowski, S., Surendranadh, P., & Barton, N. H. (2022). What is reproductive isolation? Journal of Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.14005 chicago: Westram, Anja M, Sean Stankowski, Parvathy Surendranadh, and Nicholas H Barton. “What Is Reproductive Isolation?” Journal of Evolutionary Biology. Wiley, 2022. https://doi.org/10.1111/jeb.14005. ieee: A. M. Westram, S. Stankowski, P. Surendranadh, and N. H. Barton, “What is reproductive isolation?,” Journal of Evolutionary Biology, vol. 35, no. 9. Wiley, pp. 1143–1164, 2022. ista: Westram AM, Stankowski S, Surendranadh P, Barton NH. 2022. What is reproductive isolation? Journal of Evolutionary Biology. 35(9), 1143–1164. mla: Westram, Anja M., et al. “What Is Reproductive Isolation?” Journal of Evolutionary Biology, vol. 35, no. 9, Wiley, 2022, pp. 1143–64, doi:10.1111/jeb.14005. short: A.M. Westram, S. Stankowski, P. Surendranadh, N.H. Barton, Journal of Evolutionary Biology 35 (2022) 1143–1164. corr_author: '1' date_created: 2023-01-16T09:59:24Z date_published: 2022-09-01T00:00:00Z date_updated: 2025-04-15T08:20:40Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/jeb.14005 external_id: isi: - '000849851100002' pmid: - '36063156' file: - access_level: open_access checksum: f08de57112330a7ee88d2e1b20576a1e content_type: application/pdf creator: dernst date_created: 2023-01-30T10:05:31Z date_updated: 2023-01-30T10:05:31Z file_id: '12448' file_name: 2022_JourEvoBiology_Westram.pdf file_size: 3146793 relation: main_file success: 1 file_date_updated: 2023-01-30T10:05:31Z has_accepted_license: '1' intvolume: ' 35' isi: 1 issue: '9' keyword: - Ecology - Evolution - Behavior and Systematics language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: 1143-1164 pmid: 1 project: - _id: 05959E1C-7A3F-11EA-A408-12923DDC885E grant_number: P32166 name: Snapdragon Speciation publication: Journal of Evolutionary Biology publication_identifier: eissn: - 1420-9101 issn: - 1010-061X publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '12265' relation: other status: public scopus_import: '1' status: public title: What is reproductive isolation? 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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 35 year: '2022' ... --- _id: '12265' acknowledgement: We are very grateful to the authors of the commentaries for the interesting discussion and to Luke Holman for handling this set of manuscripts. Part of this work was funded by the Austrian Science Fund FWF (grant P 32166). article_processing_charge: Yes (via OA deal) article_type: letter_note author: - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski - first_name: Parvathy full_name: Surendranadh, Parvathy id: 455235B8-F248-11E8-B48F-1D18A9856A87 last_name: Surendranadh orcid: 0000-0001-6395-386X - 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: 'Westram AM, Stankowski S, Surendranadh P, Barton NH. Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?’ Journal of Evolutionary Biology. 2022;35(9):1200-1205. doi:10.1111/jeb.14082' apa: 'Westram, A. M., Stankowski, S., Surendranadh, P., & Barton, N. H. (2022). Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?’ Journal of Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.14082' chicago: 'Westram, Anja M, Sean Stankowski, Parvathy Surendranadh, and Nicholas H Barton. “Reproductive Isolation, Speciation, and the Value of Disagreement: A Reply to the Commentaries on ‘What Is Reproductive Isolation?’” Journal of Evolutionary Biology. Wiley, 2022. https://doi.org/10.1111/jeb.14082.' ieee: 'A. M. Westram, S. Stankowski, P. Surendranadh, and N. H. Barton, “Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?,’” Journal of Evolutionary Biology, vol. 35, no. 9. Wiley, pp. 1200–1205, 2022.' ista: 'Westram AM, Stankowski S, Surendranadh P, Barton NH. 2022. Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?’ Journal of Evolutionary Biology. 35(9), 1200–1205.' mla: 'Westram, Anja M., et al. “Reproductive Isolation, Speciation, and the Value of Disagreement: A Reply to the Commentaries on ‘What Is Reproductive Isolation?’” Journal of Evolutionary Biology, vol. 35, no. 9, Wiley, 2022, pp. 1200–05, doi:10.1111/jeb.14082.' short: A.M. Westram, S. Stankowski, P. Surendranadh, N.H. Barton, Journal of Evolutionary Biology 35 (2022) 1200–1205. corr_author: '1' date_created: 2023-01-16T09:59:37Z date_published: 2022-09-01T00:00:00Z date_updated: 2025-04-15T08:20:40Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/jeb.14082 external_id: isi: - '000849851100009' file: - access_level: open_access checksum: 27268009e5eec030bc10667a4ac5ed4c content_type: application/pdf creator: dernst date_created: 2023-01-30T10:14:09Z date_updated: 2023-01-30T10:14:09Z file_id: '12449' file_name: 2022_JourEvoBiology_Westram_Response.pdf file_size: 349603 relation: main_file success: 1 file_date_updated: 2023-01-30T10:14:09Z has_accepted_license: '1' intvolume: ' 35' isi: 1 issue: '9' keyword: - Ecology - Evolution - Behavior and Systematics language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: 1200-1205 project: - _id: 05959E1C-7A3F-11EA-A408-12923DDC885E grant_number: P32166 name: Snapdragon Speciation publication: Journal of Evolutionary Biology publication_identifier: eissn: - 1420-9101 issn: - 1010-061X publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '12264' relation: other status: public scopus_import: '1' status: public title: 'Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?’' 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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 35 year: '2022' ... --- _id: '13066' abstract: - lang: eng text: Chromosomal inversions have been shown to play a major role in local adaptation by suppressing recombination between alternative arrangements and maintaining beneficial allele combinations. However, so far, their importance relative to the remaining genome remains largely unknown. Understanding the genetic architecture of adaptation requires better estimates of how loci of different effect sizes contribute to phenotypic variation. Here, we used three Swedish islands where the marine snail Littorina saxatilis has repeatedly evolved into two distinct ecotypes along a habitat transition. We estimated the contribution of inversion polymorphisms to phenotypic divergence while controlling for polygenic effects in the remaining genome using a quantitative genetics framework. We confirmed the importance of inversions but showed that contributions of loci outside inversions are of similar magnitude, with variable proportions dependent on the trait and the population. Some inversions showed consistent effects across all sites, whereas others exhibited site-specific effects, indicating that the genomic basis for replicated phenotypic divergence is only partly shared. The contributions of sexual dimorphism as well as environmental factors to phenotypic variation were significant but minor compared to inversions and polygenic background. Overall, this integrated approach provides insight into the multiple mechanisms contributing to parallel phenotypic divergence. article_processing_charge: No author: - first_name: Eva full_name: Koch, Eva last_name: Koch - first_name: Mark full_name: Ravinet, Mark last_name: Ravinet - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Kerstin full_name: Jonannesson, Kerstin last_name: Jonannesson - first_name: Roger full_name: Butlin, Roger last_name: Butlin citation: ama: 'Koch E, Ravinet M, Westram AM, Jonannesson K, Butlin R. Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution. 2022. doi:10.5061/DRYAD.M905QFV4B' apa: 'Koch, E., Ravinet, M., Westram, A. M., Jonannesson, K., & Butlin, R. (2022). Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution. Dryad. https://doi.org/10.5061/DRYAD.M905QFV4B' chicago: 'Koch, Eva, Mark Ravinet, Anja M Westram, Kerstin Jonannesson, and Roger Butlin. “Data from: Genetic Architecture of Repeated Phenotypic Divergence in Littorina Saxatilis Ecotype Evolution.” Dryad, 2022. https://doi.org/10.5061/DRYAD.M905QFV4B.' ieee: 'E. Koch, M. Ravinet, A. M. Westram, K. Jonannesson, and R. Butlin, “Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution.” Dryad, 2022.' ista: 'Koch E, Ravinet M, Westram AM, Jonannesson K, Butlin R. 2022. Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution, Dryad, 10.5061/DRYAD.M905QFV4B.' mla: 'Koch, Eva, et al. Data from: Genetic Architecture of Repeated Phenotypic Divergence in Littorina Saxatilis Ecotype Evolution. Dryad, 2022, doi:10.5061/DRYAD.M905QFV4B.' short: E. Koch, M. Ravinet, A.M. Westram, K. Jonannesson, R. Butlin, (2022). date_created: 2023-05-23T16:33:12Z date_published: 2022-07-28T00:00:00Z date_updated: 2023-08-04T09:42:10Z day: '28' ddc: - '570' department: - _id: NiBa doi: 10.5061/DRYAD.M905QFV4B license: https://creativecommons.org/publicdomain/zero/1.0/ main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.m905qfv4b month: '07' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '12247' relation: used_in_publication status: public status: public title: 'Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution' 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_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '10604' abstract: - lang: eng text: Maternally inherited Wolbachia transinfections are being introduced into natural mosquito populations to reduce the transmission of dengue, Zika, and other arboviruses. Wolbachia-induced cytoplasmic incompatibility provides a frequency-dependent reproductive advantage to infected females that can spread transinfections within and among populations. However, because transinfections generally reduce host fitness, they tend to spread within populations only after their frequency exceeds a critical threshold. This produces bistability with stable equilibrium frequencies at both 0 and 1, analogous to the bistability produced by underdominance between alleles or karyotypes and by population dynamics under Allee effects. Here, we analyze how stochastic frequency variation produced by finite population size can facilitate the local spread of variants with bistable dynamics into areas where invasion is unexpected from deterministic models. Our exemplar is the establishment of wMel Wolbachia in the Aedes aegypti population of Pyramid Estates (PE), a small community in far north Queensland, Australia. In 2011, wMel was stably introduced into Gordonvale, separated from PE by barriers to A. aegypti dispersal. After nearly 6 years during which wMel was observed only at low frequencies in PE, corresponding to an apparent equilibrium between immigration and selection, wMel rose to fixation by 2018. Using analytic approximations and statistical analyses, we demonstrate that the observed fixation of wMel at PE is consistent with both stochastic transition past an unstable threshold frequency and deterministic transformation produced by steady immigration at a rate just above the threshold required for deterministic invasion. The indeterminacy results from a delicate balance of parameters needed to produce the delayed transition observed. Our analyses suggest that once Wolbachia transinfections are established locally through systematic introductions, stochastic “threshold crossing” is likely to only minimally enhance spatial spread, providing a local ratchet that slightly—but systematically—aids area-wide transformation of disease-vector populations in heterogeneous landscapes. acknowledgement: We thank S. O'Neill, C. Simmons, and the World Mosquito Project for providing access to unpublished data. S. Ritchie provided valuable insights into Aedes aegypti biology and the literature describing A. aegypti populations near Cairns. We thank B. Cooper for help with the figures and D. Shropshire, S. O'Neill, S. Ritchie, A. Hoffmann, B. Cooper, and members of the Cooper lab for comments on an earlier draft. Comments from three reviewers greatly improved our presentation. article_processing_charge: No article_type: original 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. Why did the Wolbachia transinfection cross the road? Drift, deterministic dynamics, and disease control. Evolution Letters. 2022;6(1):92-105. doi:10.1002/evl3.270 apa: Turelli, M., & Barton, N. H. (2022). Why did the Wolbachia transinfection cross the road? Drift, deterministic dynamics, and disease control. Evolution Letters. Wiley. https://doi.org/10.1002/evl3.270 chicago: Turelli, Michael, and Nicholas H Barton. “Why Did the Wolbachia Transinfection Cross the Road? Drift, Deterministic Dynamics, and Disease Control.” Evolution Letters. Wiley, 2022. https://doi.org/10.1002/evl3.270. ieee: M. Turelli and N. H. Barton, “Why did the Wolbachia transinfection cross the road? Drift, deterministic dynamics, and disease control,” Evolution Letters, vol. 6, no. 1. Wiley, pp. 92–105, 2022. ista: Turelli M, Barton NH. 2022. Why did the Wolbachia transinfection cross the road? Drift, deterministic dynamics, and disease control. Evolution Letters. 6(1), 92–105. mla: Turelli, Michael, and Nicholas H. Barton. “Why Did the Wolbachia Transinfection Cross the Road? Drift, Deterministic Dynamics, and Disease Control.” Evolution Letters, vol. 6, no. 1, Wiley, 2022, pp. 92–105, doi:10.1002/evl3.270. short: M. Turelli, N.H. Barton, Evolution Letters 6 (2022) 92–105. date_created: 2022-01-09T09:45:17Z date_published: 2022-02-01T00:00:00Z date_updated: 2025-06-11T13:45:56Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1002/evl3.270 external_id: isi: - '000754412600008' pmid: - '35127140' file: - access_level: open_access checksum: 7e9a37e3b65b480cd7014a6a4a7e460a content_type: application/pdf creator: dernst date_created: 2022-07-29T06:59:10Z date_updated: 2022-07-29T06:59:10Z file_id: '11689' file_name: 2022_EvolutionLetters_Turelli.pdf file_size: 2435185 relation: main_file success: 1 file_date_updated: 2022-07-29T06:59:10Z has_accepted_license: '1' intvolume: ' 6' isi: 1 issue: '1' keyword: - genetics - ecology - evolution - behavior and systematics language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: 92-105 pmid: 1 publication: Evolution Letters publication_identifier: eissn: - 2056-3744 publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '11686' relation: research_data status: public scopus_import: '1' status: public title: Why did the Wolbachia transinfection cross the road? Drift, deterministic dynamics, and disease control type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 6 year: '2022' ... --- _id: '10658' abstract: - lang: eng text: We analyse how migration from a large mainland influences genetic load and population numbers on an island, in a scenario where fitness-affecting variants are unconditionally deleterious, and where numbers decline with increasing load. Our analysis shows that migration can have qualitatively different effects, depending on the total mutation target and fitness effects of deleterious variants. In particular, we find that populations exhibit a genetic Allee effect across a wide range of parameter combinations, when variants are partially recessive, cycling between low-load (large-population) and high-load (sink) states. Increased migration reduces load in the sink state (by increasing heterozygosity) but further inflates load in the large-population state (by hindering purging). We identify various critical parameter thresholds at which one or other stable state collapses, and discuss how these thresholds are influenced by the genetic versus demographic effects of migration. Our analysis is based on a ‘semi-deterministic’ analysis, which accounts for genetic drift but neglects demographic stochasticity. We also compare against simulations which account for both demographic stochasticity and drift. Our results clarify the importance of gene flow as a key determinant of extinction risk in peripheral populations, even in the absence of ecological gradients. This article is part of the theme issue ‘Species’ ranges in the face of changing environments (part I)’. acknowledgement: This research was partly funded by the Austrian Science Fund (FWF) (grant no. P-32896B). article_number: '20210010' article_processing_charge: No article_type: original author: - first_name: Himani full_name: Sachdeva, Himani last_name: Sachdeva - first_name: Oluwafunmilola O full_name: Olusanya, Oluwafunmilola O id: 41AD96DC-F248-11E8-B48F-1D18A9856A87 last_name: Olusanya orcid: 0000-0003-1971-8314 - 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, Olusanya OO, Barton NH. Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity. Philosophical Transactions of the Royal Society B. 2022;377(1846). doi:10.1098/rstb.2021.0010' apa: 'Sachdeva, H., Olusanya, O. O., & Barton, N. H. (2022). Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity. Philosophical Transactions of the Royal Society B. The Royal Society. https://doi.org/10.1098/rstb.2021.0010' chicago: 'Sachdeva, Himani, Oluwafunmilola O Olusanya, and Nicholas H Barton. “Genetic Load and Extinction in Peripheral Populations: The Roles of Migration, Drift and Demographic Stochasticity.” Philosophical Transactions of the Royal Society B. The Royal Society, 2022. https://doi.org/10.1098/rstb.2021.0010.' ieee: 'H. Sachdeva, O. O. Olusanya, and N. H. Barton, “Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity,” Philosophical Transactions of the Royal Society B, vol. 377, no. 1846. The Royal Society, 2022.' ista: 'Sachdeva H, Olusanya OO, Barton NH. 2022. Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity. Philosophical Transactions of the Royal Society B. 377(1846), 20210010.' mla: 'Sachdeva, Himani, et al. “Genetic Load and Extinction in Peripheral Populations: The Roles of Migration, Drift and Demographic Stochasticity.” Philosophical Transactions of the Royal Society B, vol. 377, no. 1846, 20210010, The Royal Society, 2022, doi:10.1098/rstb.2021.0010.' short: H. Sachdeva, O.O. Olusanya, N.H. Barton, Philosophical Transactions of the Royal Society B 377 (2022). date_created: 2022-01-24T10:34:53Z date_published: 2022-01-24T00:00:00Z date_updated: 2026-04-07T12:54:28Z day: '24' ddc: - '576' department: - _id: GradSch - _id: NiBa doi: 10.1098/rstb.2021.0010 external_id: isi: - '000745854300008' pmid: - '35067097' file: - access_level: open_access checksum: 04ca9e2f0e344d680b947f2457df8d0a content_type: application/pdf creator: oolusany date_created: 2022-01-24T10:34:45Z date_updated: 2022-01-24T10:34:45Z file_id: '10659' file_name: rstb.2021.0010.pdf file_size: 1845792 relation: main_file file_date_updated: 2022-01-24T10:34:45Z has_accepted_license: '1' intvolume: ' 377' isi: 1 issue: '1846' language: - iso: eng month: '01' oa: 1 oa_version: Published Version pmid: 1 project: - _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8 grant_number: P32896 name: Causes and consequences of population fragmentation publication: Philosophical Transactions of the Royal Society B publication_identifier: eissn: - 1471-2970 issn: - 0962-8436 publication_status: published publisher: The Royal Society quality_controlled: '1' related_material: link: - relation: earlier_version url: https://doi.org/10.1101/2021.08.05.455207 record: - id: '14711' relation: dissertation_contains status: public scopus_import: '1' status: public title: 'Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity' 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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 377 year: '2022' ... --- _id: '10736' abstract: - lang: eng text: Predicting function from sequence is a central problem of biology. Currently, this is possible only locally in a narrow mutational neighborhood around a wildtype sequence rather than globally from any sequence. Using random mutant libraries, we developed a biophysical model that accounts for multiple features of σ70 binding bacterial promoters to predict constitutive gene expression levels from any sequence. We experimentally and theoretically estimated that 10–20% of random sequences lead to expression and ~80% of non-expressing sequences are one mutation away from a functional promoter. The potential for generating expression from random sequences is so pervasive that selection acts against σ70-RNA polymerase binding sites even within inter-genic, promoter-containing regions. This pervasiveness of σ70-binding sites implies that emergence of promoters is not the limiting step in gene regulatory evolution. Ultimately, the inclusion of novel features of promoter function into a mechanistic model enabled not only more accurate predictions of gene expression levels, but also identified that promoters evolve more rapidly than previously thought. acknowledgement: 'We thank Hande Acar, Nicholas H Barton, Rok Grah, Tiago Paixao, Maros Pleska, Anna Staron, and Murat Tugrul for insightful comments and input on the manuscript. This work was supported by: Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (grant number 216779/Z/19/Z) to ML; IPC Grant from IST Austria to ML and SS; European Research Council Funding Programme 7 (2007–2013, grant agreement number 648440) to JPB.' article_number: e64543 article_processing_charge: No article_type: original author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Srdjan full_name: Sarikas, Srdjan id: 35F0286E-F248-11E8-B48F-1D18A9856A87 last_name: Sarikas - first_name: Magdalena full_name: Steinrück, Magdalena id: 2C023F40-F248-11E8-B48F-1D18A9856A87 last_name: Steinrück orcid: 0000-0003-1229-9719 - first_name: David full_name: Toledo-Aparicio, David last_name: Toledo-Aparicio - 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 - first_name: Gašper full_name: Tkačik, Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: 0000-0002-6699-1455 citation: ama: Lagator M, Sarikas S, Steinrück M, et al. Predicting bacterial promoter function and evolution from random sequences. eLife. 2022;11. doi:10.7554/eLife.64543 apa: Lagator, M., Sarikas, S., Steinrück, M., Toledo-Aparicio, D., Bollback, J. P., Guet, C. C., & Tkačik, G. (2022). Predicting bacterial promoter function and evolution from random sequences. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.64543 chicago: Lagator, Mato, Srdjan Sarikas, Magdalena Steinrück, David Toledo-Aparicio, Jonathan P Bollback, Calin C Guet, and Gašper Tkačik. “Predicting Bacterial Promoter Function and Evolution from Random Sequences.” ELife. eLife Sciences Publications, 2022. https://doi.org/10.7554/eLife.64543. ieee: M. Lagator et al., “Predicting bacterial promoter function and evolution from random sequences,” eLife, vol. 11. eLife Sciences Publications, 2022. ista: Lagator M, Sarikas S, Steinrück M, Toledo-Aparicio D, Bollback JP, Guet CC, Tkačik G. 2022. Predicting bacterial promoter function and evolution from random sequences. eLife. 11, e64543. mla: Lagator, Mato, et al. “Predicting Bacterial Promoter Function and Evolution from Random Sequences.” ELife, vol. 11, e64543, eLife Sciences Publications, 2022, doi:10.7554/eLife.64543. short: M. Lagator, S. Sarikas, M. Steinrück, D. Toledo-Aparicio, J.P. Bollback, C.C. Guet, G. Tkačik, ELife 11 (2022). corr_author: '1' date_created: 2022-02-06T23:01:32Z date_published: 2022-01-26T00:00:00Z date_updated: 2025-03-31T16:00:23Z day: '26' ddc: - '576' department: - _id: CaGu - _id: GaTk - _id: NiBa doi: 10.7554/eLife.64543 ec_funded: 1 external_id: isi: - '000751104400001' pmid: - '35080492' file: - access_level: open_access checksum: decdcdf600ff51e9a9703b49ca114170 content_type: application/pdf creator: cchlebak date_created: 2022-02-07T07:14:09Z date_updated: 2022-02-07T07:14:09Z file_id: '10739' file_name: 2022_ELife_Lagator.pdf file_size: 5604343 relation: main_file success: 1 file_date_updated: 2022-02-07T07:14:09Z has_accepted_license: '1' intvolume: ' 11' isi: 1 language: - iso: eng month: '01' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: eLife publication_identifier: eissn: - 2050-084X publication_status: published publisher: eLife Sciences Publications quality_controlled: '1' scopus_import: '1' status: public title: Predicting bacterial promoter function and evolution from random sequences 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: '2022' ... --- _id: '10787' abstract: - lang: eng text: "A species distributed across diverse environments may adapt to local conditions. We ask how quickly such a species changes its range in response to changed conditions. Szép et al. (Szép E, Sachdeva H, Barton NH. 2021 Polygenic local adaptation in metapopulations: a stochastic eco-evolutionary model. Evolution75, 1030–1045 (doi:10.1111/evo.14210)) used the infinite island model to find the stationary distribution of allele frequencies and deme sizes. We extend this to find how a metapopulation responds to changes in carrying capacity, selection strength, or migration rate when deme sizes are fixed. We further develop a ‘fixed-state’ approximation. Under this approximation, polymorphism is only possible for a narrow range of habitat proportions when selection is weak compared to drift, but for a much wider range otherwise. When rates of selection or migration relative to drift change in a single deme of the metapopulation, the population takes a time of order m−1 to reach the new equilibrium. However, even with many loci, there can be substantial fluctuations in net adaptation, because at each locus, alleles randomly get lost or fixed. Thus, in a finite metapopulation, variation may gradually be lost by chance, even if it would persist in an infinite metapopulation. When conditions change across the whole metapopulation, there can be rapid change, which is predicted well by the fixed-state approximation. This work helps towards an understanding of how metapopulations extend their range across diverse environments.\r\nThis article is part of the theme issue ‘Species’ ranges in the face of changing environments (Part II)’." acknowledgement: This research was partly funded by the Austrian Science Fund (FWF) [FWF P-32896B]. article_processing_charge: No article_type: original 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: Oluwafunmilola O full_name: Olusanya, Oluwafunmilola O id: 41AD96DC-F248-11E8-B48F-1D18A9856A87 last_name: Olusanya orcid: 0000-0003-1971-8314 citation: ama: 'Barton NH, Olusanya OO. The response of a metapopulation to a changing environment. Philosophical Transactions of the Royal Society B: Biological Sciences. 2022;377(1848). doi:10.1098/rstb.2021.0009' apa: 'Barton, N. H., & Olusanya, O. O. (2022). The response of a metapopulation to a changing environment. Philosophical Transactions of the Royal Society B: Biological Sciences. The Royal Society. https://doi.org/10.1098/rstb.2021.0009' chicago: 'Barton, Nicholas H, and Oluwafunmilola O Olusanya. “The Response of a Metapopulation to a Changing Environment.” Philosophical Transactions of the Royal Society B: Biological Sciences. The Royal Society, 2022. https://doi.org/10.1098/rstb.2021.0009.' ieee: 'N. H. Barton and O. O. Olusanya, “The response of a metapopulation to a changing environment,” Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 377, no. 1848. The Royal Society, 2022.' ista: 'Barton NH, Olusanya OO. 2022. The response of a metapopulation to a changing environment. Philosophical Transactions of the Royal Society B: Biological Sciences. 377(1848).' mla: 'Barton, Nicholas H., and Oluwafunmilola O. Olusanya. “The Response of a Metapopulation to a Changing Environment.” Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 377, no. 1848, The Royal Society, 2022, doi:10.1098/rstb.2021.0009.' short: 'N.H. Barton, O.O. Olusanya, Philosophical Transactions of the Royal Society B: Biological Sciences 377 (2022).' corr_author: '1' date_created: 2022-02-21T16:08:10Z date_published: 2022-04-11T00:00:00Z date_updated: 2026-04-07T12:54:28Z day: '11' ddc: - '570' department: - _id: GradSch - _id: NiBa doi: 10.1098/rstb.2021.0009 external_id: isi: - '000758140300001' pmid: - '35184588' file: - access_level: open_access checksum: 3b0243738f01bf3c07e0d7e8dc64f71d content_type: application/pdf creator: dernst date_created: 2022-08-02T06:14:32Z date_updated: 2022-08-02T06:14:32Z file_id: '11719' file_name: 2022_PhilosophicalTransactionsRSB_Barton.pdf file_size: 1349672 relation: main_file success: 1 file_date_updated: 2022-08-02T06:14:32Z has_accepted_license: '1' intvolume: ' 377' isi: 1 issue: '1848' keyword: - General Agricultural and Biological Sciences - General Biochemistry - Genetics and Molecular Biology language: - iso: eng month: '04' oa: 1 oa_version: Published Version pmid: 1 project: - _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8 grant_number: P32896 name: Causes and consequences of population fragmentation publication: 'Philosophical Transactions of the Royal Society B: Biological Sciences' publication_identifier: eissn: - 1471-2970 issn: - 0962-8436 publication_status: published publisher: The Royal Society quality_controlled: '1' related_material: record: - id: '14711' relation: dissertation_contains status: public scopus_import: '1' status: public title: The response of a metapopulation to a changing environment 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: 377 year: '2022' ... --- OA_place: publisher _id: '11388' abstract: - lang: eng text: "In evolve and resequence experiments, a population is sequenced, subjected to selection and\r\nthen sequenced again, so that genetic changes before and after selection can be observed at\r\nthe genetic level. Here, I use these studies to better understand the genetic basis of complex\r\ntraits - traits which depend on more than a few genes.\r\nIn the first chapter, I discuss the first evolve and resequence experiment, in which a population\r\nof mice, the so-called \"Longshanks\" mice, were selected for tibia length while their body mass\r\nwas kept constant. The full pedigree is known. We observed a selection response on all\r\nchromosomes and used the infinitesimal model with linkage, a model which assumes an infinite\r\nnumber of genes with infinitesimally small effect sizes, as a null model. Results implied a very\r\npolygenic basis with a few loci of major effect standing out and changing in parallel. There\r\nwas large variability between the different chromosomes in this study, probably due to LD.\r\nIn chapter two, I go on to discuss the impact of LD, on the variability in an allele-frequency\r\nbased summary statistic, giving an equation based on the initial allele frequencies, average\r\npairwise LD, and the first four moments of the haplotype block copy number distribution. I\r\ndescribe this distribution by referring back to the founder generation. I then demonstrate\r\nhow to infer selection via a maximum likelihood scheme on the example of a single locus and\r\ndiscuss how to extend this to more realistic scenarios.\r\nIn chapter three, I discuss the second evolve and resequence experiment, in which a small\r\npopulation of Drosophila melanogaster was selected for increased pupal case size over 6\r\ngenerations. The experiment was highly replicated with 27 lines selected within family and a\r\nknown pedigree. We observed a phenotypic selection response of over one standard deviation.\r\nI describe the patterns in allele frequency data, including allele frequency changes and patterns\r\nof heterozygosity, and give ideas for future work." alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Stefanie full_name: Belohlavy, Stefanie id: 43FE426A-F248-11E8-B48F-1D18A9856A87 last_name: Belohlavy orcid: 0000-0002-9849-498X citation: ama: Belohlavy S. The genetic basis of complex traits studied via analysis of evolve and resequence experiments. 2022. doi:10.15479/at:ista:11388 apa: Belohlavy, S. (2022). The genetic basis of complex traits studied via analysis of evolve and resequence experiments. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:11388 chicago: Belohlavy, Stefanie. “The Genetic Basis of Complex Traits Studied via Analysis of Evolve and Resequence Experiments.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11388. ieee: S. Belohlavy, “The genetic basis of complex traits studied via analysis of evolve and resequence experiments,” Institute of Science and Technology Austria, 2022. ista: Belohlavy S. 2022. The genetic basis of complex traits studied via analysis of evolve and resequence experiments. Institute of Science and Technology Austria. mla: Belohlavy, Stefanie. The Genetic Basis of Complex Traits Studied via Analysis of Evolve and Resequence Experiments. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11388. short: S. Belohlavy, The Genetic Basis of Complex Traits Studied via Analysis of Evolve and Resequence Experiments, Institute of Science and Technology Austria, 2022. corr_author: '1' date_created: 2022-05-16T16:49:18Z date_published: 2022-05-18T00:00:00Z date_updated: 2026-04-07T14:29:57Z day: '18' ddc: - '576' degree_awarded: PhD department: - _id: GradSch - _id: NiBa doi: 10.15479/at:ista:11388 file: - access_level: open_access checksum: 4d75e6a619df7e8a9d6e840aee182380 content_type: application/pdf creator: sbelohla date_created: 2022-05-19T13:03:13Z date_updated: 2023-05-20T22:30:03Z embargo: 2023-05-19 file_id: '11398' file_name: thesis_sb_final_pdfa.pdf file_size: 8247240 relation: main_file - access_level: closed checksum: 7a5d8b6dd0ca00784f860075b0a7d8f0 content_type: application/x-zip-compressed creator: sbelohla date_created: 2022-05-19T13:07:47Z date_updated: 2023-05-20T22:30:03Z embargo_to: open_access file_id: '11399' file_name: thesis_sb_final.zip file_size: 7094 relation: source_file file_date_updated: 2023-05-20T22:30:03Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: '98' publication_identifier: isbn: - 978-3-99078-018-3 publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '6713' 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: The genetic basis of complex traits studied via analysis of evolve and resequence experiments 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: dissertation user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2022' ... --- OA_place: publisher _id: '12987' abstract: - lang: eng text: Chromosomal inversion polymorphisms, segments of chromosomes that are flipped in orientation and occur in reversed order in some individuals, have long been recognized to play an important role in local adaptation. They can reduce recombination in heterozygous individuals and thus help to maintain sets of locally adapted alleles. In a wide range of organisms, populations adapted to different habitats differ in frequency of inversion arrangements. However, getting a full understanding of the importance of inversions for adaptation requires confirmation of their influence on traits under divergent selection. Here, we studied a marine snail, Littorina saxatilis, that has evolved ecotypes adapted to wave exposure or crab predation. These two types occur in close proximity on different parts of the shore. Gene flow between them exists in contact zones. However, they exhibit strong phenotypic divergence in several traits under habitat-specific selection, including size, shape and behaviour. We used crosses between these ecotypes to identify genomic regions that explain variation in these traits by using QTL analysis and variance partitioning across linkage groups. We could show that previously detected inversion regions contribute to adaptive divergence. Some inversions influenced multiple traits suggesting that they contain sets of locally adaptive alleles. Our study also identified regions without known inversions that are important for phenotypic divergence. Thus, we provide a more complete overview of the importance of inversions in relation to the remaining genome. article_processing_charge: No author: - first_name: Eva full_name: Koch, Eva last_name: Koch - first_name: Hernán E. full_name: Morales, Hernán E. last_name: Morales - first_name: Jenny full_name: Larsson, Jenny last_name: Larsson - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Rui full_name: Faria, Rui last_name: Faria - first_name: Alan R. full_name: Lemmon, Alan R. last_name: Lemmon - first_name: E. Moriarty full_name: Lemmon, E. Moriarty last_name: Lemmon - first_name: Kerstin full_name: Johannesson, Kerstin last_name: Johannesson - first_name: Roger K. full_name: Butlin, Roger K. last_name: Butlin citation: ama: 'Koch E, Morales HE, Larsson J, et al. Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis. 2021. doi:10.5061/DRYAD.ZGMSBCCB4' apa: 'Koch, E., Morales, H. E., Larsson, J., Westram, A. M., Faria, R., Lemmon, A. R., … Butlin, R. K. (2021). Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis. Dryad. https://doi.org/10.5061/DRYAD.ZGMSBCCB4' chicago: 'Koch, Eva, Hernán E. Morales, Jenny Larsson, Anja M Westram, Rui Faria, Alan R. Lemmon, E. Moriarty Lemmon, Kerstin Johannesson, and Roger K. Butlin. “Data from: Genetic Variation for Adaptive Traits Is Associated with Polymorphic Inversions in Littorina Saxatilis.” Dryad, 2021. https://doi.org/10.5061/DRYAD.ZGMSBCCB4.' ieee: 'E. Koch et al., “Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis.” Dryad, 2021.' ista: 'Koch E, Morales HE, Larsson J, Westram AM, Faria R, Lemmon AR, Lemmon EM, Johannesson K, Butlin RK. 2021. Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis, Dryad, 10.5061/DRYAD.ZGMSBCCB4.' mla: 'Koch, Eva, et al. Data from: Genetic Variation for Adaptive Traits Is Associated with Polymorphic Inversions in Littorina Saxatilis. Dryad, 2021, doi:10.5061/DRYAD.ZGMSBCCB4.' short: E. Koch, H.E. Morales, J. Larsson, A.M. Westram, R. Faria, A.R. Lemmon, E.M. Lemmon, K. Johannesson, R.K. Butlin, (2021). date_created: 2023-05-16T12:34:09Z date_published: 2021-04-10T00:00:00Z date_updated: 2026-04-07T14:01:30Z day: '10' ddc: - '570' department: - _id: NiBa doi: 10.5061/DRYAD.ZGMSBCCB4 has_accepted_license: '1' main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.zgmsbccb4 month: '04' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '9394' relation: used_in_publication status: public status: public title: 'Data from: Genetic variation for adaptive traits is associated with polymorphic inversions in Littorina saxatilis' 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_reference user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd year: '2021' ... --- _id: '13062' abstract: - lang: eng text: 'This paper analyzes the conditions for local adaptation in a metapopulation with infinitely many islands under a model of hard selection, where population size depends on local fitness. Each island belongs to one of two distinct ecological niches or habitats. Fitness is influenced by an additive trait which is under habitat-dependent directional selection. Our analysis is based on the diffusion approximation and accounts for both genetic drift and demographic stochasticity. By neglecting linkage disequilibria, it yields the joint distribution of allele frequencies and population size on each island. We find that under hard selection, the conditions for local adaptation in a rare habitat are more restrictive for more polygenic traits: even moderate migration load per locus at very many loci is sufficient for population sizes to decline. This further reduces the efficacy of selection at individual loci due to increased drift and because smaller populations are more prone to swamping due to migration, causing a positive feedback between increasing maladaptation and declining population sizes. Our analysis also highlights the importance of demographic stochasticity, which exacerbates the decline in numbers of maladapted populations, leading to population collapse in the rare habitat at significantly lower migration than predicted by deterministic arguments.' article_processing_charge: No author: - first_name: Eniko full_name: Szep, Eniko id: 485BB5A4-F248-11E8-B48F-1D18A9856A87 last_name: Szep - 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: 'Szep E, Sachdeva H, Barton NH. Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model. 2021. doi:10.5061/DRYAD.8GTHT76P1' apa: 'Szep, E., Sachdeva, H., & Barton, N. H. (2021). Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model. Dryad. https://doi.org/10.5061/DRYAD.8GTHT76P1' chicago: 'Szep, Eniko, Himani Sachdeva, and Nicholas H Barton. “Supplementary Code for: Polygenic Local Adaptation in Metapopulations: A Stochastic Eco-Evolutionary Model.” Dryad, 2021. https://doi.org/10.5061/DRYAD.8GTHT76P1.' ieee: 'E. Szep, H. Sachdeva, and N. H. Barton, “Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model.” Dryad, 2021.' ista: 'Szep E, Sachdeva H, Barton NH. 2021. Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model, Dryad, 10.5061/DRYAD.8GTHT76P1.' mla: 'Szep, Eniko, et al. Supplementary Code for: Polygenic Local Adaptation in Metapopulations: A Stochastic Eco-Evolutionary Model. Dryad, 2021, doi:10.5061/DRYAD.8GTHT76P1.' short: E. Szep, H. Sachdeva, N.H. Barton, (2021). corr_author: '1' date_created: 2023-05-23T16:17:02Z date_published: 2021-03-02T00:00:00Z date_updated: 2025-06-12T06:35:39Z day: '02' ddc: - '570' department: - _id: NiBa doi: 10.5061/DRYAD.8GTHT76P1 main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.8gtht76p1 month: '03' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '9252' relation: used_in_publication status: public status: public title: 'Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model' 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_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '14984' abstract: - lang: eng text: Hybrid zones are narrow geographic regions where different populations, races or interbreeding species meet and mate, producing mixed ‘hybrid’ offspring. They are relatively common and can be found in a diverse range of organisms and environments. The study of hybrid zones has played an important role in our understanding of the origin of species, with hybrid zones having been described as ‘natural laboratories’. This is because they allow us to study,in situ, the conditions and evolutionary forces that enable divergent taxa to remain distinct despite some ongoing gene exchange between them. article_processing_charge: No author: - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski - first_name: Daria full_name: Shipilina, Daria id: 428A94B0-F248-11E8-B48F-1D18A9856A87 last_name: Shipilina orcid: 0000-0002-1145-9226 - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 citation: ama: 'Stankowski S, Shipilina D, Westram AM. Hybrid Zones. In: Encyclopedia of Life Sciences. Vol 2. eLS. Wiley; 2021. doi:10.1002/9780470015902.a0029355' apa: Stankowski, S., Shipilina, D., & Westram, A. M. (2021). Hybrid Zones. In Encyclopedia of Life Sciences (Vol. 2). Wiley. https://doi.org/10.1002/9780470015902.a0029355 chicago: Stankowski, Sean, Daria Shipilina, and Anja M Westram. “Hybrid Zones.” In Encyclopedia of Life Sciences, Vol. 2. ELS. Wiley, 2021. https://doi.org/10.1002/9780470015902.a0029355. ieee: S. Stankowski, D. Shipilina, and A. M. Westram, “Hybrid Zones,” in Encyclopedia of Life Sciences, vol. 2, Wiley, 2021. ista: 'Stankowski S, Shipilina D, Westram AM. 2021.Hybrid Zones. In: Encyclopedia of Life Sciences. vol. 2.' mla: Stankowski, Sean, et al. “Hybrid Zones.” Encyclopedia of Life Sciences, vol. 2, Wiley, 2021, doi:10.1002/9780470015902.a0029355. short: S. Stankowski, D. Shipilina, A.M. Westram, in:, Encyclopedia of Life Sciences, Wiley, 2021. corr_author: '1' date_created: 2024-02-14T12:05:50Z date_published: 2021-05-28T00:00:00Z date_updated: 2024-10-09T21:08:11Z day: '28' department: - _id: NiBa doi: 10.1002/9780470015902.a0029355 intvolume: ' 2' language: - iso: eng month: '05' oa_version: None publication: Encyclopedia of Life Sciences publication_identifier: eisbn: - '9780470015902' isbn: - '9780470016176' publication_status: published publisher: Wiley quality_controlled: '1' series_title: eLS status: public title: Hybrid Zones type: book_chapter user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2 year: '2021' ... --- _id: '10535' abstract: - lang: eng text: Realistic models of biological processes typically involve interacting components on multiple scales, driven by changing environment and inherent stochasticity. Such models are often analytically and numerically intractable. We revisit a dynamic maximum entropy method that combines a static maximum entropy with a quasi-stationary approximation. This allows us to reduce stochastic non-equilibrium dynamics expressed by the Fokker-Planck equation to a simpler low-dimensional deterministic dynamics, without the need to track microscopic details. Although the method has been previously applied to a few (rather complicated) applications in population genetics, our main goal here is to explain and to better understand how the method works. We demonstrate the usefulness of the method for two widely studied stochastic problems, highlighting its accuracy in capturing important macroscopic quantities even in rapidly changing non-stationary conditions. For the Ornstein-Uhlenbeck process, the method recovers the exact dynamics whilst for a stochastic island model with migration from other habitats, the approximation retains high macroscopic accuracy under a wide range of scenarios in a dynamic environment. acknowledged_ssus: - _id: ScienComp acknowledgement: "Computational resources for the study were provided by the Institute of Science and Technology, Austria.\r\nKB received funding from the Scientific Grant Agency of the Slovak Republic under the Grants Nos. 1/0755/19 and 1/0521/20." article_number: e1009661 article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Katarína full_name: Bod'ová, Katarína id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87 last_name: Bod'ová orcid: 0000-0002-7214-0171 - first_name: Eniko full_name: Szep, Eniko id: 485BB5A4-F248-11E8-B48F-1D18A9856A87 last_name: Szep - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Bodova K, Szep E, Barton NH. Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. 2021;17(12). doi:10.1371/journal.pcbi.1009661 apa: Bodova, K., Szep, E., & Barton, N. H. (2021). Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1009661 chicago: Bodova, Katarina, Eniko Szep, and Nicholas H Barton. “Dynamic Maximum Entropy Provides Accurate Approximation of Structured Population Dynamics.” PLoS Computational Biology. Public Library of Science, 2021. https://doi.org/10.1371/journal.pcbi.1009661. ieee: K. Bodova, E. Szep, and N. H. Barton, “Dynamic maximum entropy provides accurate approximation of structured population dynamics,” PLoS Computational Biology, vol. 17, no. 12. Public Library of Science, 2021. ista: Bodova K, Szep E, Barton NH. 2021. Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. 17(12), e1009661. mla: Bodova, Katarina, et al. “Dynamic Maximum Entropy Provides Accurate Approximation of Structured Population Dynamics.” PLoS Computational Biology, vol. 17, no. 12, e1009661, Public Library of Science, 2021, doi:10.1371/journal.pcbi.1009661. short: K. Bodova, E. Szep, N.H. Barton, PLoS Computational Biology 17 (2021). corr_author: '1' date_created: 2021-12-12T23:01:27Z date_published: 2021-12-01T00:00:00Z date_updated: 2024-10-09T21:01:16Z day: '01' ddc: - '570' department: - _id: NiBa - _id: GaTk doi: 10.1371/journal.pcbi.1009661 external_id: arxiv: - '2102.03669' pmid: - '34851948' file: - access_level: open_access checksum: dcd185d4f7e0acee25edf1d6537f447e content_type: application/pdf creator: dernst date_created: 2022-05-16T08:53:11Z date_updated: 2022-05-16T08:53:11Z file_id: '11383' file_name: 2021_PLOsComBio_Bodova.pdf file_size: 2299486 relation: main_file success: 1 file_date_updated: 2022-05-16T08:53:11Z has_accepted_license: '1' intvolume: ' 17' issue: '12' language: - iso: eng month: '12' oa: 1 oa_version: Published Version pmid: 1 publication: PLoS Computational Biology publication_identifier: eissn: - 1553-7358 issn: - 1553-734X publication_status: published publisher: Public Library of Science quality_controlled: '1' scopus_import: '1' status: public title: Dynamic maximum entropy provides accurate approximation of structured population dynamics 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: 17 year: '2021' ... --- _id: '8708' abstract: - lang: eng text: The Mytilus complex of marine mussel species forms a mosaic of hybrid zones, found across temperate regions of the globe. This allows us to study ‘replicated’ instances of secondary contact between closely related species. Previous work on this complex has shown that local introgression is both widespread and highly heterogeneous, and has identified SNPs that are outliers of differentiation between lineages. Here, we developed an ancestry‐informative panel of such SNPs. We then compared their frequencies in newly sampled populations, including samples from within the hybrid zones, and parental populations at different distances from the contact. Results show that close to the hybrid zones, some outlier loci are near to fixation for the heterospecific allele, suggesting enhanced local introgression, or the local sweep of a shared ancestral allele. Conversely, genomic cline analyses, treating local parental populations as the reference, reveal a globally high concordance among loci, albeit with a few signals of asymmetric introgression. Enhanced local introgression at specific loci is consistent with the early transfer of adaptive variants after contact, possibly including asymmetric bi‐stable variants (Dobzhansky‐Muller incompatibilities), or haplotypes loaded with fewer deleterious mutations. Having escaped one barrier, however, these variants can be trapped or delayed at the next barrier, confining the introgression locally. These results shed light on the decay of species barriers during phases of contact. acknowledgement: Data used in this work were partly produced through the genotyping and sequencing facilities of ISEM and LabEx CeMEB, an ANR ‘Investissements d'avenir’ program (ANR‐10‐LABX‐04‐01) This project benefited from the Montpellier Bioinformatics Biodiversity platform supported by the LabEx CeMEB. We thank Norah Saarman, Grant Pogson, Célia Gosset and Pierre‐Alexandre Gagnaire for providing samples. This work was funded by a Languedoc‐Roussillon ‘Chercheur(se)s d'Avenir’ grant (Connect7 project). P. Strelkov was supported by the Russian Science Foundation project 19‐74‐20024. This is article 2020‐240 of Institut des Sciences de l'Evolution de Montpellier. article_processing_charge: No article_type: original author: - first_name: Alexis full_name: Simon, Alexis last_name: Simon - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Tahani full_name: El Ayari, Tahani last_name: El Ayari - first_name: Cathy full_name: Liautard‐Haag, Cathy last_name: Liautard‐Haag - first_name: Petr full_name: Strelkov, Petr last_name: Strelkov - first_name: John J full_name: Welch, John J last_name: Welch - first_name: Nicolas full_name: Bierne, Nicolas last_name: Bierne citation: ama: Simon A, Fraisse C, El Ayari T, et al. How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary Biology. 2021;34(1):208-223. doi:10.1111/jeb.13709 apa: Simon, A., Fraisse, C., El Ayari, T., Liautard‐Haag, C., Strelkov, P., Welch, J. J., & Bierne, N. (2021). How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.13709 chicago: Simon, Alexis, Christelle Fraisse, Tahani El Ayari, Cathy Liautard‐Haag, Petr Strelkov, John J Welch, and Nicolas Bierne. “How Do Species Barriers Decay? Concordance and Local Introgression in Mosaic Hybrid Zones of Mussels.” Journal of Evolutionary Biology. Wiley, 2021. https://doi.org/10.1111/jeb.13709. ieee: A. Simon et al., “How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels,” Journal of Evolutionary Biology, vol. 34, no. 1. Wiley, pp. 208–223, 2021. ista: Simon A, Fraisse C, El Ayari T, Liautard‐Haag C, Strelkov P, Welch JJ, Bierne N. 2021. How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary Biology. 34(1), 208–223. mla: Simon, Alexis, et al. “How Do Species Barriers Decay? Concordance and Local Introgression in Mosaic Hybrid Zones of Mussels.” Journal of Evolutionary Biology, vol. 34, no. 1, Wiley, 2021, pp. 208–23, doi:10.1111/jeb.13709. short: A. Simon, C. Fraisse, T. El Ayari, C. Liautard‐Haag, P. Strelkov, J.J. Welch, N. Bierne, Journal of Evolutionary Biology 34 (2021) 208–223. date_created: 2020-10-25T23:01:20Z date_published: 2021-01-01T00:00:00Z date_updated: 2025-07-10T12:01:23Z day: '01' department: - _id: BeVi - _id: NiBa doi: 10.1111/jeb.13709 external_id: isi: - '000579599700001' pmid: - '33045123' intvolume: ' 34' isi: 1 issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1101/818559 month: '01' oa: 1 oa_version: Preprint page: 208-223 pmid: 1 publication: Journal of Evolutionary Biology publication_identifier: eissn: - 1420-9101 issn: - 1010-061X publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '13073' relation: research_data status: public scopus_import: '1' status: public title: How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 34 year: '2021' ... --- _id: '8743' abstract: - lang: eng text: 'Montane cloud forests are areas of high endemism, and are one of the more vulnerable terrestrial ecosystems to climate change. Thus, understanding how they both contribute to the generation of biodiversity, and will respond to ongoing climate change, are important and related challenges. The widely accepted model for montane cloud forest dynamics involves upslope forcing of their range limits with global climate warming. However, limited climate data provides some support for an alternative model, where range limits are forced downslope with climate warming. Testing between these two models is challenging, due to the inherent limitations of climate and pollen records. We overcome this with an alternative source of historical information, testing between competing model predictions using genomic data and demographic analyses for a species of beetle tightly associated to an oceanic island cloud forest. Results unequivocally support the alternative model: populations that were isolated at higher elevation peaks during the Last Glacial Maximum are now in contact and hybridizing at lower elevations. Our results suggest that genomic data are a rich source of information to further understand how montane cloud forest biodiversity originates, and how it is likely to be impacted by ongoing climate change.' acknowledgement: 'This work was financed by the Spanish Agencia Estatal de Investigación (CGL2017‐85718‐P), awarded to BCE, and co‐financed by FEDER. It was also supported by the Spanish Ministerio de Ciencia, Innovación y Universidades (EQC2018‐004418‐P), awarded to BCE. AS‐C was funded by the Spanish Ministerio de Ciencia, Innovación y Universidades through an FPU PhD fellowship (FPU014/02948). The authors thank Instituto Tecnológico y de Energías Renovables (ITER), S.A for providing access to the Teide High‐Performance Computing facility (Teide‐HPC). Fieldwork was supported by collecting permit AFF 107/17 (sigma number 2017‐00572) kindly provided by the Cabildo of Tenerife. The authors wish to thank the following for field work and sample sorting and identification: A. J. Pérez‐Delgado, H. López, and C. Andújar. We also thank V. García‐Olivares for assistance with laboratory and bioinformatic work.' article_processing_charge: No article_type: original author: - first_name: Antonia full_name: Salces-Castellano, Antonia last_name: Salces-Castellano - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski - first_name: Paula full_name: Arribas, Paula last_name: Arribas - first_name: Jairo full_name: Patino, Jairo last_name: Patino - first_name: 'Dirk N. ' full_name: 'Karger, Dirk N. ' last_name: Karger - first_name: Roger full_name: Butlin, Roger last_name: Butlin - first_name: Brent C. full_name: Emerson, Brent C. last_name: Emerson citation: ama: Salces-Castellano A, Stankowski S, Arribas P, et al. Long-term cloud forest response to climate warming revealed by insect speciation history. Evolution. 2021;75(2):231-244. doi:10.1111/evo.14111 apa: Salces-Castellano, A., Stankowski, S., Arribas, P., Patino, J., Karger, D. N., Butlin, R., & Emerson, B. C. (2021). Long-term cloud forest response to climate warming revealed by insect speciation history. Evolution. Wiley. https://doi.org/10.1111/evo.14111 chicago: Salces-Castellano, Antonia, Sean Stankowski, Paula Arribas, Jairo Patino, Dirk N. Karger, Roger Butlin, and Brent C. Emerson. “Long-Term Cloud Forest Response to Climate Warming Revealed by Insect Speciation History.” Evolution. Wiley, 2021. https://doi.org/10.1111/evo.14111. ieee: A. Salces-Castellano et al., “Long-term cloud forest response to climate warming revealed by insect speciation history,” Evolution, vol. 75, no. 2. Wiley, pp. 231–244, 2021. ista: Salces-Castellano A, Stankowski S, Arribas P, Patino J, Karger DN, Butlin R, Emerson BC. 2021. Long-term cloud forest response to climate warming revealed by insect speciation history. Evolution. 75(2), 231–244. mla: Salces-Castellano, Antonia, et al. “Long-Term Cloud Forest Response to Climate Warming Revealed by Insect Speciation History.” Evolution, vol. 75, no. 2, Wiley, 2021, pp. 231–44, doi:10.1111/evo.14111. short: A. Salces-Castellano, S. Stankowski, P. Arribas, J. Patino, D.N. Karger, R. Butlin, B.C. Emerson, Evolution 75 (2021) 231–244. date_created: 2020-11-08T23:01:26Z date_published: 2021-02-01T00:00:00Z date_updated: 2023-08-04T11:09:49Z day: '01' department: - _id: NiBa doi: 10.1111/evo.14111 external_id: isi: - '000583190600001' pmid: - '33078844' intvolume: ' 75' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://hdl.handle.net/10261/223937 month: '02' oa: 1 oa_version: Submitted Version page: 231-244 pmid: 1 publication: Evolution publication_identifier: eissn: - 1558-5646 issn: - 0014-3820 publication_status: published publisher: Wiley quality_controlled: '1' related_material: link: - relation: erratum url: https://doi.org/10.1111/evo.14225 scopus_import: '1' status: public title: Long-term cloud forest response to climate warming revealed by insect speciation history type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 75 year: '2021' ... --- _id: '8928' abstract: - lang: eng text: Domestication is a human‐induced selection process that imprints the genomes of domesticated populations over a short evolutionary time scale and that occurs in a given demographic context. Reconstructing historical gene flow, effective population size changes and their timing is therefore of fundamental interest to understand how plant demography and human selection jointly shape genomic divergence during domestication. Yet, the comparison under a single statistical framework of independent domestication histories across different crop species has been little evaluated so far. Thus, it is unclear whether domestication leads to convergent demographic changes that similarly affect crop genomes. To address this question, we used existing and new transcriptome data on three crop species of Solanaceae (eggplant, pepper and tomato), together with their close wild relatives. We fitted twelve demographic models of increasing complexity on the unfolded joint allele frequency spectrum for each wild/crop pair, and we found evidence for both shared and species‐specific demographic processes between species. A convergent history of domestication with gene flow was inferred for all three species, along with evidence of strong reduction in the effective population size during the cultivation stage of tomato and pepper. The absence of any reduction in size of the crop in eggplant stands out from the classical view of the domestication process; as does the existence of a “protracted period” of management before cultivation. Our results also suggest divergent management strategies of modern cultivars among species as their current demography substantially differs. Finally, the timing of domestication is species‐specific and supported by the few historical records available. acknowledgement: This work was supported by the EU Marie Curie Career Integration grant (FP7‐PEOPLE‐2011‐CIG grant agreement PCIG10‐GA‐2011‐304164) attributed to CS. SA was supported by a PhD fellowship from the French Région PACA and the Plant Breeding division of INRA, in partnership with Gautier Semences. CF was supported by an Austrian Science Foundation FWF grant (Project M 2463‐B29). Authors thank Mathilde Causse and Beatriz Vicoso for their team leading. Thanks to the Italian Eggplant Genome Consortium, which includes the DISAFA, Plant Genetics and Breeding (University of Torino), the Biotechnology Department (University of Verona), the CREA‐ORL in Montanaso Lombardo (LO) and the ENEA in Rome for providing access to the eggplant genome reference. Thanks to CRB‐lég ( https://www6.paca.inra.fr/gafl_eng/Vegetables-GRC ) for managing and providing the genetic resources, to Marie‐Christine Daunay and Alain Palloix (INRA UR1052) for assistance in choosing the biological material used, to Muriel Latreille and Sylvain Santoni from the UMR AGAP (INRA Montpellier, France) for their help with RNAseq library preparation, to Jean‐Paul Bouchet and Jacques Lagnel (INRA UR1052) for their Bioinformatics assistance. article_processing_charge: No article_type: original author: - first_name: Stéphanie full_name: Arnoux, Stéphanie last_name: Arnoux - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Christopher full_name: Sauvage, Christopher last_name: Sauvage citation: ama: Arnoux S, Fraisse C, Sauvage C. Genomic inference of complex domestication histories in three Solanaceae species. Journal of Evolutionary Biology. 2021;34(2):270-283. doi:10.1111/jeb.13723 apa: Arnoux, S., Fraisse, C., & Sauvage, C. (2021). Genomic inference of complex domestication histories in three Solanaceae species. Journal of Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.13723 chicago: Arnoux, Stéphanie, Christelle Fraisse, and Christopher Sauvage. “Genomic Inference of Complex Domestication Histories in Three Solanaceae Species.” Journal of Evolutionary Biology. Wiley, 2021. https://doi.org/10.1111/jeb.13723. ieee: S. Arnoux, C. Fraisse, and C. Sauvage, “Genomic inference of complex domestication histories in three Solanaceae species,” Journal of Evolutionary Biology, vol. 34, no. 2. Wiley, pp. 270–283, 2021. ista: Arnoux S, Fraisse C, Sauvage C. 2021. Genomic inference of complex domestication histories in three Solanaceae species. Journal of Evolutionary Biology. 34(2), 270–283. mla: Arnoux, Stéphanie, et al. “Genomic Inference of Complex Domestication Histories in Three Solanaceae Species.” Journal of Evolutionary Biology, vol. 34, no. 2, Wiley, 2021, pp. 270–83, doi:10.1111/jeb.13723. short: S. Arnoux, C. Fraisse, C. Sauvage, Journal of Evolutionary Biology 34 (2021) 270–283. date_created: 2020-12-06T23:01:16Z date_published: 2021-02-01T00:00:00Z date_updated: 2026-06-18T19:37:17Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/jeb.13723 external_id: isi: - '000587769700001' pmid: - '33107098' intvolume: ' 34' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1111/jeb.13723 month: '02' oa: 1 oa_version: Published Version page: 270-283 pmid: 1 project: - _id: 2662AADE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02463 name: Sex chromosomes and species barriers publication: Journal of Evolutionary Biology publication_identifier: eissn: - 1420-9101 issn: - 1010-061X publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '13065' relation: research_data status: public scopus_import: '1' status: public title: Genomic inference of complex domestication histories in three Solanaceae species type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 34 year: '2021' ... --- _id: '9100' abstract: - lang: eng text: 'Marine environments are inhabited by a broad representation of the tree of life, yet our understanding of speciation in marine ecosystems is extremely limited compared with terrestrial and freshwater environments. Developing a more comprehensive picture of speciation in marine environments requires that we ''dive under the surface'' by studying a wider range of taxa and ecosystems is necessary for a more comprehensive picture of speciation. Although studying marine evolutionary processes is often challenging, recent technological advances in different fields, from maritime engineering to genomics, are making it increasingly possible to study speciation of marine life forms across diverse ecosystems and taxa. Motivated by recent research in the field, including the 14 contributions in this issue, we highlight and discuss six axes of research that we think will deepen our understanding of speciation in the marine realm: (a) study a broader range of marine environments and organisms; (b) identify the reproductive barriers driving speciation between marine taxa; (c) understand the role of different genomic architectures underlying reproductive isolation; (d) infer the evolutionary history of divergence using model‐based approaches; (e) study patterns of hybridization and introgression between marine taxa; and (f) implement highly interdisciplinary, collaborative research programmes. In outlining these goals, we hope to inspire researchers to continue filling this critical knowledge gap surrounding the origins of marine biodiversity.' acknowledgement: "We would like to thank all the participants in the speciation symposium of the Marine Evolution Conference in Sweden for the interesting discussions and to all the contributors to this special\r\nissue. We thank Nicolas Bierne and Wolf Blanckenhorn (reviewer and editor, respectively) for valuable suggestions during the revision of the manuscript, and Roger K. Butlin and Anja M. Westram for very helpful comments on a previous draft. We would also like to thank Wolf Blanckenhorn and Nicola Cook, the Editor in Chief and the Managing Editor of the Journal of Evolutionary Biology, respectively, for the encouragement and support in putting together this special issue, and to all reviewers involved. RF was financed by the European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement Number 706376 and is currently financed by the FEDER Funds through the Operational Competitiveness Factors Program COMPETE and by National Funds through the Foundation for Science and Technology (FCT) within the scope of the project ‘Hybrabbid' (PTDC/BIA-EVL/30628/2017-POCI-01-0145-FEDER-030628). KJ was funded by the Swedish\r\nResearch Council, VR. SS was supported by NERC and ERC funding awarded to Roger K. Butlin." article_processing_charge: No article_type: original author: - first_name: Rui full_name: Faria, Rui last_name: Faria - first_name: Kerstin full_name: Johannesson, Kerstin last_name: Johannesson - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski citation: ama: 'Faria R, Johannesson K, Stankowski S. Speciation in marine environments: Diving under the surface. Journal of Evolutionary Biology. 2021;34(1):4-15. doi:10.1111/jeb.13756' apa: 'Faria, R., Johannesson, K., & Stankowski, S. (2021). Speciation in marine environments: Diving under the surface. Journal of Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.13756' chicago: 'Faria, Rui, Kerstin Johannesson, and Sean Stankowski. “Speciation in Marine Environments: Diving under the Surface.” Journal of Evolutionary Biology. Wiley, 2021. https://doi.org/10.1111/jeb.13756.' ieee: 'R. Faria, K. Johannesson, and S. Stankowski, “Speciation in marine environments: Diving under the surface,” Journal of Evolutionary Biology, vol. 34, no. 1. Wiley, pp. 4–15, 2021.' ista: 'Faria R, Johannesson K, Stankowski S. 2021. Speciation in marine environments: Diving under the surface. Journal of Evolutionary Biology. 34(1), 4–15.' mla: 'Faria, Rui, et al. “Speciation in Marine Environments: Diving under the Surface.” Journal of Evolutionary Biology, vol. 34, no. 1, Wiley, 2021, pp. 4–15, doi:10.1111/jeb.13756.' short: R. Faria, K. Johannesson, S. Stankowski, Journal of Evolutionary Biology 34 (2021) 4–15. date_created: 2021-02-07T23:01:13Z date_published: 2021-01-18T00:00:00Z date_updated: 2025-07-10T12:01:37Z day: '18' ddc: - '570' department: - _id: NiBa doi: 10.1111/jeb.13756 external_id: isi: - '000608367500001' file: - access_level: open_access checksum: 5755856a5368d4b4cdd6fad5ab27f4d1 content_type: application/pdf creator: dernst date_created: 2021-02-09T09:04:02Z date_updated: 2021-02-09T09:04:02Z file_id: '9108' file_name: 2021_JourEvolBiology_Faria.pdf file_size: 561340 relation: main_file success: 1 file_date_updated: 2021-02-09T09:04:02Z has_accepted_license: '1' intvolume: ' 34' isi: 1 issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Published Version page: 4-15 publication: Journal of Evolutionary Biology publication_identifier: eissn: - 1420-9101 issn: - 1010-061X publication_status: published publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: 'Speciation in marine environments: Diving under the surface' 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: 34 year: '2021' ... --- _id: '9119' abstract: - lang: eng text: 'We present DILS, a deployable statistical analysis platform for conducting demographic inferences with linked selection from population genomic data using an Approximate Bayesian Computation framework. DILS takes as input single‐population or two‐population data sets (multilocus fasta sequences) and performs three types of analyses in a hierarchical manner, identifying: (a) the best demographic model to study the importance of gene flow and population size change on the genetic patterns of polymorphism and divergence, (b) the best genomic model to determine whether the effective size Ne and migration rate N, m are heterogeneously distributed along the genome (implying linked selection) and (c) loci in genomic regions most associated with barriers to gene flow. Also available via a Web interface, an objective of DILS is to facilitate collaborative research in speciation genomics. Here, we show the performance and limitations of DILS by using simulations and finally apply the method to published data on a divergence continuum composed by 28 pairs of Mytilus mussel populations/species.' article_processing_charge: No article_type: original author: - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Iva full_name: Popovic, Iva last_name: Popovic - first_name: Clément full_name: Mazoyer, Clément last_name: Mazoyer - first_name: Bruno full_name: Spataro, Bruno last_name: Spataro - first_name: Stéphane full_name: Delmotte, Stéphane last_name: Delmotte - first_name: Jonathan full_name: Romiguier, Jonathan last_name: Romiguier - first_name: Étienne full_name: Loire, Étienne last_name: Loire - first_name: Alexis full_name: Simon, Alexis last_name: Simon - first_name: Nicolas full_name: Galtier, Nicolas last_name: Galtier - first_name: Laurent full_name: Duret, Laurent last_name: Duret - first_name: Nicolas full_name: Bierne, Nicolas last_name: Bierne - first_name: Xavier full_name: Vekemans, Xavier last_name: Vekemans - first_name: Camille full_name: Roux, Camille last_name: Roux citation: ama: 'Fraisse C, Popovic I, Mazoyer C, et al. DILS: Demographic inferences with linked selection by using ABC. Molecular Ecology Resources. 2021;21:2629-2644. doi:10.1111/1755-0998.13323' apa: 'Fraisse, C., Popovic, I., Mazoyer, C., Spataro, B., Delmotte, S., Romiguier, J., … Roux, C. (2021). DILS: Demographic inferences with linked selection by using ABC. Molecular Ecology Resources. Wiley. https://doi.org/10.1111/1755-0998.13323' chicago: 'Fraisse, Christelle, Iva Popovic, Clément Mazoyer, Bruno Spataro, Stéphane Delmotte, Jonathan Romiguier, Étienne Loire, et al. “DILS: Demographic Inferences with Linked Selection by Using ABC.” Molecular Ecology Resources. Wiley, 2021. https://doi.org/10.1111/1755-0998.13323.' ieee: 'C. Fraisse et al., “DILS: Demographic inferences with linked selection by using ABC,” Molecular Ecology Resources, vol. 21. Wiley, pp. 2629–2644, 2021.' ista: 'Fraisse C, Popovic I, Mazoyer C, Spataro B, Delmotte S, Romiguier J, Loire É, Simon A, Galtier N, Duret L, Bierne N, Vekemans X, Roux C. 2021. DILS: Demographic inferences with linked selection by using ABC. Molecular Ecology Resources. 21, 2629–2644.' mla: 'Fraisse, Christelle, et al. “DILS: Demographic Inferences with Linked Selection by Using ABC.” Molecular Ecology Resources, vol. 21, Wiley, 2021, pp. 2629–44, doi:10.1111/1755-0998.13323.' short: C. Fraisse, I. Popovic, C. Mazoyer, B. Spataro, S. Delmotte, J. Romiguier, É. Loire, A. Simon, N. Galtier, L. Duret, N. Bierne, X. Vekemans, C. Roux, Molecular Ecology Resources 21 (2021) 2629–2644. corr_author: '1' date_created: 2021-02-14T23:01:14Z date_published: 2021-01-15T00:00:00Z date_updated: 2025-06-12T06:34:23Z day: '15' department: - _id: NiBa doi: 10.1111/1755-0998.13323 external_id: isi: - '000614183100001' pmid: - '33448666' intvolume: ' 21' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/10.1101/2020.06.15.151597v2 month: '01' oa: 1 oa_version: Preprint page: 2629-2644 pmid: 1 publication: Molecular Ecology Resources publication_identifier: eissn: - 1755-0998 issn: - 1755-098X publication_status: published publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: 'DILS: Demographic inferences with linked selection by using ABC' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 21 year: '2021' ...