--- _id: '1359' abstract: - lang: eng text: "The role of gene interactions in the evolutionary process has long\r\nbeen controversial. Although some argue that they are not of\r\nimportance, because most variation is additive, others claim that\r\ntheir effect in the long term can be substantial. Here, we focus on\r\nthe long-term effects of genetic interactions under directional\r\nselection assuming no mutation or dominance, and that epistasis is\r\nsymmetrical overall. We ask by how much the mean of a complex\r\ntrait can be increased by selection and analyze two extreme\r\nregimes, in which either drift or selection dominate the dynamics\r\nof allele frequencies. In both scenarios, epistatic interactions affect\r\nthe long-term response to selection by modulating the additive\r\ngenetic variance. When drift dominates, we extend Robertson\r\n’\r\ns\r\n[Robertson A (1960)\r\nProc R Soc Lond B Biol Sci\r\n153(951):234\r\n−\r\n249]\r\nargument to show that, for any form of epistasis, the total response\r\nof a haploid population is proportional to the initial total genotypic\r\nvariance. In contrast, the total response of a diploid population is\r\nincreased by epistasis, for a given initial genotypic variance. When\r\nselection dominates, we show that the total selection response can\r\nonly be increased by epistasis when s\r\nome initially deleterious alleles\r\nbecome favored as the genetic background changes. We find a sim-\r\nple approximation for this effect and show that, in this regime, it is\r\nthe structure of the genotype - phenotype map that matters and not\r\nthe variance components of the population." article_processing_charge: No article_type: original author: - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Paixao T, Barton NH. The effect of gene interactions on the long-term response to selection. PNAS. 2016;113(16):4422-4427. doi:10.1073/pnas.1518830113 apa: Paixao, T., & Barton, N. H. (2016). The effect of gene interactions on the long-term response to selection. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1518830113 chicago: Paixao, Tiago, and Nicholas H Barton. “The Effect of Gene Interactions on the Long-Term Response to Selection.” PNAS. National Academy of Sciences, 2016. https://doi.org/10.1073/pnas.1518830113. ieee: T. Paixao and N. H. Barton, “The effect of gene interactions on the long-term response to selection,” PNAS, vol. 113, no. 16. National Academy of Sciences, pp. 4422–4427, 2016. ista: Paixao T, Barton NH. 2016. The effect of gene interactions on the long-term response to selection. PNAS. 113(16), 4422–4427. mla: Paixao, Tiago, and Nicholas H. Barton. “The Effect of Gene Interactions on the Long-Term Response to Selection.” PNAS, vol. 113, no. 16, National Academy of Sciences, 2016, pp. 4422–27, doi:10.1073/pnas.1518830113. short: T. Paixao, N.H. Barton, PNAS 113 (2016) 4422–4427. date_created: 2018-12-11T11:51:34Z date_published: 2016-04-19T00:00:00Z date_updated: 2021-01-12T06:50:08Z day: '19' department: - _id: NiBa - _id: CaGu doi: 10.1073/pnas.1518830113 ec_funded: 1 external_id: pmid: - '27044080' intvolume: ' 113' issue: '16' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843425/ month: '04' oa: 1 oa_version: Published Version page: 4422 - 4427 pmid: 1 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: PNAS publication_status: published publisher: National Academy of Sciences publist_id: '5886' quality_controlled: '1' scopus_import: 1 status: public title: The effect of gene interactions on the long-term response to selection type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 113 year: '2016' ... --- _id: '1356' author: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Barton NH. Sewall Wright on evolution in Mendelian populations and the “Shifting Balance.” Genetics. 2016;202(1):3-4. doi:10.1534/genetics.115.184796 apa: Barton, N. H. (2016). Sewall Wright on evolution in Mendelian populations and the “Shifting Balance.” Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.184796 chicago: Barton, Nicholas H. “Sewall Wright on Evolution in Mendelian Populations and the ‘Shifting Balance.’” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.184796. ieee: N. H. Barton, “Sewall Wright on evolution in Mendelian populations and the ‘Shifting Balance,’” Genetics, vol. 202, no. 1. Genetics Society of America, pp. 3–4, 2016. ista: Barton NH. 2016. Sewall Wright on evolution in Mendelian populations and the “Shifting Balance”. Genetics. 202(1), 3–4. mla: Barton, Nicholas H. “Sewall Wright on Evolution in Mendelian Populations and the ‘Shifting Balance.’” Genetics, vol. 202, no. 1, Genetics Society of America, 2016, pp. 3–4, doi:10.1534/genetics.115.184796. short: N.H. Barton, Genetics 202 (2016) 3–4. date_created: 2018-12-11T11:51:33Z date_published: 2016-01-05T00:00:00Z date_updated: 2021-01-12T06:50:07Z day: '05' ddc: - '570' department: - _id: NiBa doi: 10.1534/genetics.115.184796 file: - access_level: open_access checksum: 3562b89c821a4be84edf2b6ebd870cf5 content_type: application/pdf creator: system date_created: 2018-12-12T10:08:26Z date_updated: 2020-07-14T12:44:46Z file_id: '4687' file_name: IST-2017-769-v1+1_SewallWright1931.pdf file_size: 112674 relation: main_file file_date_updated: 2020-07-14T12:44:46Z has_accepted_license: '1' intvolume: ' 202' issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 3 - 4 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '5889' pubrep_id: '769' quality_controlled: '1' scopus_import: 1 status: public title: Sewall Wright on evolution in Mendelian populations and the “Shifting Balance” type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1357' author: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Barton NH. Richard Hudson and Norman Kaplan on the coalescent process. Genetics. 2016;202(3):865-866. doi:10.1534/genetics.116.187542 apa: Barton, N. H. (2016). Richard Hudson and Norman Kaplan on the coalescent process. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.187542 chicago: Barton, Nicholas H. “Richard Hudson and Norman Kaplan on the Coalescent Process.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.116.187542. ieee: N. H. Barton, “Richard Hudson and Norman Kaplan on the coalescent process,” Genetics, vol. 202, no. 3. Genetics Society of America, pp. 865–866, 2016. ista: Barton NH. 2016. Richard Hudson and Norman Kaplan on the coalescent process. Genetics. 202(3), 865–866. mla: Barton, Nicholas H. “Richard Hudson and Norman Kaplan on the Coalescent Process.” Genetics, vol. 202, no. 3, Genetics Society of America, 2016, pp. 865–66, doi:10.1534/genetics.116.187542. short: N.H. Barton, Genetics 202 (2016) 865–866. date_created: 2018-12-11T11:51:33Z date_published: 2016-03-01T00:00:00Z date_updated: 2021-01-12T06:50:07Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1534/genetics.116.187542 file: - access_level: open_access checksum: b2174bab2de1d1142900062a150f35c9 content_type: application/pdf creator: system date_created: 2018-12-12T10:15:09Z date_updated: 2020-07-14T12:44:46Z file_id: '5127' file_name: IST-2017-768-v1+1_Hudson-Kaplan-1988.pdf file_size: 130779 relation: main_file file_date_updated: 2020-07-14T12:44:46Z has_accepted_license: '1' intvolume: ' 202' issue: '3' language: - iso: eng month: '03' oa: 1 oa_version: Submitted Version page: 865 - 866 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '5888' pubrep_id: '768' quality_controlled: '1' scopus_import: 1 status: public title: Richard Hudson and Norman Kaplan on the coalescent process type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1409' author: - first_name: Richard full_name: Abbott, Richard last_name: Abbott - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Jeffrey full_name: Good, Jeffrey last_name: Good citation: ama: Abbott R, Barton NH, Good J. Genomics of hybridization and its evolutionary consequences. Molecular Ecology. 2016;25(11):2325-2332. doi:10.1111/mec.13685 apa: Abbott, R., Barton, N. H., & Good, J. (2016). Genomics of hybridization and its evolutionary consequences. Molecular Ecology. Wiley-Blackwell. https://doi.org/10.1111/mec.13685 chicago: Abbott, Richard, Nicholas H Barton, and Jeffrey Good. “Genomics of Hybridization and Its Evolutionary Consequences.” Molecular Ecology. Wiley-Blackwell, 2016. https://doi.org/10.1111/mec.13685. ieee: R. Abbott, N. H. Barton, and J. Good, “Genomics of hybridization and its evolutionary consequences,” Molecular Ecology, vol. 25, no. 11. Wiley-Blackwell, pp. 2325–2332, 2016. ista: Abbott R, Barton NH, Good J. 2016. Genomics of hybridization and its evolutionary consequences. Molecular Ecology. 25(11), 2325–2332. mla: Abbott, Richard, et al. “Genomics of Hybridization and Its Evolutionary Consequences.” Molecular Ecology, vol. 25, no. 11, Wiley-Blackwell, 2016, pp. 2325–32, doi:10.1111/mec.13685. short: R. Abbott, N.H. Barton, J. Good, Molecular Ecology 25 (2016) 2325–2332. date_created: 2018-12-11T11:51:51Z date_published: 2016-06-08T00:00:00Z date_updated: 2021-01-12T06:50:33Z day: '08' ddc: - '576' department: - _id: NiBa doi: 10.1111/mec.13685 file: - access_level: open_access checksum: ede7d0b8a471754f71f17e2b20f3135b content_type: application/pdf creator: system date_created: 2018-12-12T10:10:12Z date_updated: 2020-07-14T12:44:53Z file_id: '4797' file_name: IST-2017-772-v1+1_AbbotEtAl2016-3.pdf file_size: 226137 relation: main_file file_date_updated: 2020-07-14T12:44:53Z has_accepted_license: '1' intvolume: ' 25' issue: '11' language: - iso: eng month: '06' oa: 1 oa_version: Submitted Version page: 2325 - 2332 publication: Molecular Ecology publication_status: published publisher: Wiley-Blackwell publist_id: '5798' pubrep_id: '772' quality_controlled: '1' scopus_import: 1 status: public title: Genomics of hybridization and its evolutionary consequences type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 25 year: '2016' ... --- _id: '1420' abstract: - lang: eng text: 'Selection, mutation, and random drift affect the dynamics of allele frequencies and consequently of quantitative traits. While the macroscopic dynamics of quantitative traits can be measured, the underlying allele frequencies are typically unobserved. Can we understand how the macroscopic observables evolve without following these microscopic processes? This problem has been studied previously by analogy with statistical mechanics: the allele frequency distribution at each time point is approximated by the stationary form, which maximizes entropy. We explore the limitations of this method when mutation is small (4Nμ < 1) so that populations are typically close to fixation, and we extend the theory in this regime to account for changes in mutation strength. We consider a single diallelic locus either under directional selection or with overdominance and then generalize to multiple unlinked biallelic loci with unequal effects. We find that the maximum-entropy approximation is remarkably accurate, even when mutation and selection change rapidly. ' article_processing_charge: No author: - first_name: Katarína full_name: Bod'ová, Katarína id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87 last_name: Bod'ová orcid: 0000-0002-7214-0171 - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Bodova K, Tkačik G, Barton NH. A general approximation for the dynamics of quantitative traits. Genetics. 2016;202(4):1523-1548. doi:10.1534/genetics.115.184127 apa: Bodova, K., Tkačik, G., & Barton, N. H. (2016). A general approximation for the dynamics of quantitative traits. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.184127 chicago: Bodova, Katarina, Gašper Tkačik, and Nicholas H Barton. “A General Approximation for the Dynamics of Quantitative Traits.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.184127. ieee: K. Bodova, G. Tkačik, and N. H. Barton, “A general approximation for the dynamics of quantitative traits,” Genetics, vol. 202, no. 4. Genetics Society of America, pp. 1523–1548, 2016. ista: Bodova K, Tkačik G, Barton NH. 2016. A general approximation for the dynamics of quantitative traits. Genetics. 202(4), 1523–1548. mla: Bodova, Katarina, et al. “A General Approximation for the Dynamics of Quantitative Traits.” Genetics, vol. 202, no. 4, Genetics Society of America, 2016, pp. 1523–48, doi:10.1534/genetics.115.184127. short: K. Bodova, G. Tkačik, N.H. Barton, Genetics 202 (2016) 1523–1548. date_created: 2018-12-11T11:51:55Z date_published: 2016-04-06T00:00:00Z date_updated: 2022-08-01T10:49:55Z day: '06' department: - _id: GaTk - _id: NiBa doi: 10.1534/genetics.115.184127 ec_funded: 1 external_id: arxiv: - '1510.08344' intvolume: ' 202' issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1510.08344 month: '04' oa: 1 oa_version: Preprint page: 1523 - 1548 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 255008E4-B435-11E9-9278-68D0E5697425 grant_number: RGP0065/2012 name: Information processing and computation in fish groups publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '5787' quality_controlled: '1' scopus_import: '1' status: public title: A general approximation for the dynamics of quantitative traits type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1518' abstract: - lang: eng text: The inference of demographic history from genome data is hindered by a lack of efficient computational approaches. In particular, it has proved difficult to exploit the information contained in the distribution of genealogies across the genome. We have previously shown that the generating function (GF) of genealogies can be used to analytically compute likelihoods of demographic models from configurations of mutations in short sequence blocks (Lohse et al. 2011). Although the GF has a simple, recursive form, the size of such likelihood calculations explodes quickly with the number of individuals and applications of this framework have so far been mainly limited to small samples (pairs and triplets) for which the GF can be written by hand. Here we investigate several strategies for exploiting the inherent symmetries of the coalescent. In particular, we show that the GF of genealogies can be decomposed into a set of equivalence classes that allows likelihood calculations from nontrivial samples. Using this strategy, we automated blockwise likelihood calculations for a general set of demographic scenarios in Mathematica. These histories may involve population size changes, continuous migration, discrete divergence, and admixture between multiple populations. To give a concrete example, we calculate the likelihood for a model of isolation with migration (IM), assuming two diploid samples without phase and outgroup information. We demonstrate the new inference scheme with an analysis of two individual butterfly genomes from the sister species Heliconius melpomene rosina and H. cydno. acknowledgement: "We thank Lynsey Bunnefeld for discussions throughout the project and Joshua Schraiber and one anonymous reviewer\r\nfor constructive comments on an earlier version of this manuscript. This work was supported by funding from the\r\nUnited Kingdom Natural Environment Research Council (to K.L.) (NE/I020288/1) and a grant from the European\r\nResearch Council (250152) (to N.H.B.)." article_processing_charge: No article_type: original author: - first_name: Konrad full_name: Lohse, Konrad last_name: Lohse - first_name: Martin full_name: Chmelik, Martin id: 3624234E-F248-11E8-B48F-1D18A9856A87 last_name: Chmelik - first_name: Simon full_name: Martin, Simon last_name: Martin - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Lohse K, Chmelik M, Martin S, Barton NH. Efficient strategies for calculating blockwise likelihoods under the coalescent. Genetics. 2016;202(2):775-786. doi:10.1534/genetics.115.183814 apa: Lohse, K., Chmelik, M., Martin, S., & Barton, N. H. (2016). Efficient strategies for calculating blockwise likelihoods under the coalescent. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.183814 chicago: Lohse, Konrad, Martin Chmelik, Simon Martin, and Nicholas H Barton. “Efficient Strategies for Calculating Blockwise Likelihoods under the Coalescent.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.183814. ieee: K. Lohse, M. Chmelik, S. Martin, and N. H. Barton, “Efficient strategies for calculating blockwise likelihoods under the coalescent,” Genetics, vol. 202, no. 2. Genetics Society of America, pp. 775–786, 2016. ista: Lohse K, Chmelik M, Martin S, Barton NH. 2016. Efficient strategies for calculating blockwise likelihoods under the coalescent. Genetics. 202(2), 775–786. mla: Lohse, Konrad, et al. “Efficient Strategies for Calculating Blockwise Likelihoods under the Coalescent.” Genetics, vol. 202, no. 2, Genetics Society of America, 2016, pp. 775–86, doi:10.1534/genetics.115.183814. short: K. Lohse, M. Chmelik, S. Martin, N.H. Barton, Genetics 202 (2016) 775–786. date_created: 2018-12-11T11:52:29Z date_published: 2016-02-01T00:00:00Z date_updated: 2022-05-24T09:16:22Z day: '01' ddc: - '570' department: - _id: KrCh - _id: NiBa doi: 10.1534/genetics.115.183814 ec_funded: 1 external_id: pmid: - '26715666' file: - access_level: open_access checksum: 41c9b5d72e7fe4624dd22dfe622337d5 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:51Z date_updated: 2020-07-14T12:45:00Z file_id: '5241' file_name: IST-2016-561-v1+1_Lohse_et_al_Genetics_2015.pdf file_size: 957466 relation: main_file file_date_updated: 2020-07-14T12:45:00Z has_accepted_license: '1' intvolume: ' 202' issue: '2' language: - iso: eng month: '02' oa: 1 oa_version: Preprint page: 775 - 786 pmid: 1 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '5658' pubrep_id: '561' quality_controlled: '1' scopus_import: '1' status: public title: Efficient strategies for calculating blockwise likelihoods under the coalescent type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 202 year: '2016' ... --- _id: '1631' abstract: - lang: eng text: 'Ancestral processes are fundamental to modern population genetics and spatial structure has been the subject of intense interest for many years. Despite this interest, almost nothing is known about the distribution of the locations of pedigree or genetic ancestors. Using both spatially continuous and stepping-stone models, we show that the distribution of pedigree ancestors approaches a travelling wave, for which we develop two alternative approximations. The speed and width of the wave are sensitive to the local details of the model. After a short time, genetic ancestors spread far more slowly than pedigree ancestors, ultimately diffusing out with radius ## rather than spreading at constant speed. In contrast to the wave of pedigree ancestors, the spread of genetic ancestry is insensitive to the local details of the models.' author: - first_name: Jerome full_name: Kelleher, Jerome last_name: Kelleher - first_name: Alison full_name: Etheridge, Alison last_name: Etheridge - first_name: Amandine full_name: Véber, Amandine last_name: Véber - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Kelleher J, Etheridge A, Véber A, Barton NH. Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology. 2016;108:1-12. doi:10.1016/j.tpb.2015.10.008 apa: Kelleher, J., Etheridge, A., Véber, A., & Barton, N. H. (2016). Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2015.10.008 chicago: Kelleher, Jerome, Alison Etheridge, Amandine Véber, and Nicholas H Barton. “Spread of Pedigree versus Genetic Ancestry in Spatially Distributed Populations.” Theoretical Population Biology. Academic Press, 2016. https://doi.org/10.1016/j.tpb.2015.10.008. ieee: J. Kelleher, A. Etheridge, A. Véber, and N. H. Barton, “Spread of pedigree versus genetic ancestry in spatially distributed populations,” Theoretical Population Biology, vol. 108. Academic Press, pp. 1–12, 2016. ista: Kelleher J, Etheridge A, Véber A, Barton NH. 2016. Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology. 108, 1–12. mla: Kelleher, Jerome, et al. “Spread of Pedigree versus Genetic Ancestry in Spatially Distributed Populations.” Theoretical Population Biology, vol. 108, Academic Press, 2016, pp. 1–12, doi:10.1016/j.tpb.2015.10.008. short: J. Kelleher, A. Etheridge, A. Véber, N.H. Barton, Theoretical Population Biology 108 (2016) 1–12. date_created: 2018-12-11T11:53:08Z date_published: 2016-04-01T00:00:00Z date_updated: 2021-01-12T06:52:07Z day: '01' ddc: - '576' department: - _id: NiBa doi: 10.1016/j.tpb.2015.10.008 ec_funded: 1 file: - access_level: open_access checksum: 6a65ba187994d4ad86c1c509e0ff482a content_type: application/pdf creator: system date_created: 2018-12-12T10:11:12Z date_updated: 2020-07-14T12:45:07Z file_id: '4865' file_name: IST-2016-465-v1+1_1-s2.0-S0040580915001094-main.pdf file_size: 1684043 relation: main_file file_date_updated: 2020-07-14T12:45:07Z has_accepted_license: '1' intvolume: ' 108' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: 1 - 12 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Theoretical Population Biology publication_status: published publisher: Academic Press publist_id: '5524' pubrep_id: '465' quality_controlled: '1' scopus_import: 1 status: public title: Spread of pedigree versus genetic ancestry in spatially distributed populations tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 108 year: '2016' ... --- _id: '1158' abstract: - lang: eng text: Speciation results from the progressive accumulation of mutations that decrease the probability of mating between parental populations or reduce the fitness of hybrids—the so-called species barriers. The speciation genomic literature, however, is mainly a collection of case studies, each with its own approach and specificities, such that a global view of the gradual process of evolution from one to two species is currently lacking. Of primary importance is the prevalence of gene flow between diverging entities, which is central in most species concepts and has been widely discussed in recent years. Here, we explore the continuum of speciation thanks to a comparative analysis of genomic data from 61 pairs of populations/species of animals with variable levels of divergence. Gene flow between diverging gene pools is assessed under an approximate Bayesian computation (ABC) framework. We show that the intermediate "grey zone" of speciation, in which taxonomy is often controversial, spans from 0.5% to 2% of net synonymous divergence, irrespective of species life history traits or ecology. Thanks to appropriate modeling of among-locus variation in genetic drift and introgression rate, we clarify the status of the majority of ambiguous cases and uncover a number of cryptic species. Our analysis also reveals the high incidence in animals of semi-isolated species (when some but not all loci are affected by barriers to gene flow) and highlights the intrinsic difficulty, both statistical and conceptual, of delineating species in the grey zone of speciation. acknowledgement: "European Research Council (ERC) https://erc.europa.eu/ (grant number ERC grant 232971). PopPhyl project. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. French National Research Agency (ANR) http://www.agence-nationale-recherche.fr/en/project-based-funding-to-advance-french-research/ (grant number ANR-12-BSV7- 0011). HYSEA project.\r\nWe thank Aude Darracq, Vincent Castric, Pierre-Alexandre Gagnaire, Xavier Vekemans, and John Welch for insightful discussions. The computations were performed at the Vital-IT (http://www.vital-it.ch) Center for high-performance computing of the SIB Swiss Institute of Bioinformatics and the ISEM computing cluster at the platform Montpellier Bioinformatique et Biodiversité." article_number: e2000234 author: - first_name: Camille full_name: Roux, Camille last_name: Roux - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Jonathan full_name: Romiguier, Jonathan last_name: Romiguier - first_name: Youann full_name: Anciaux, Youann last_name: Anciaux - first_name: Nicolas full_name: Galtier, Nicolas last_name: Galtier - first_name: Nicolas full_name: Bierne, Nicolas last_name: Bierne citation: ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Shedding light on the grey zone of speciation along a continuum of genomic divergence. PLoS Biology. 2016;14(12). doi:10.1371/journal.pbio.2000234 apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne, N. (2016). Shedding light on the grey zone of speciation along a continuum of genomic divergence. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234 chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux, Nicolas Galtier, and Nicolas Bierne. “Shedding Light on the Grey Zone of Speciation along a Continuum of Genomic Divergence.” PLoS Biology. Public Library of Science, 2016. https://doi.org/10.1371/journal.pbio.2000234. ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne, “Shedding light on the grey zone of speciation along a continuum of genomic divergence,” PLoS Biology, vol. 14, no. 12. Public Library of Science, 2016. ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Shedding light on the grey zone of speciation along a continuum of genomic divergence. PLoS Biology. 14(12), e2000234. mla: Roux, Camille, et al. “Shedding Light on the Grey Zone of Speciation along a Continuum of Genomic Divergence.” PLoS Biology, vol. 14, no. 12, e2000234, Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234. short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, PLoS Biology 14 (2016). date_created: 2018-12-11T11:50:28Z date_published: 2016-12-27T00:00:00Z date_updated: 2023-02-23T14:11:16Z day: '27' ddc: - '576' department: - _id: BeVi - _id: NiBa doi: 10.1371/journal.pbio.2000234 file: - access_level: open_access checksum: 2bab63b068a9840efd532b9ae583f9bb content_type: application/pdf creator: system date_created: 2018-12-12T10:15:42Z date_updated: 2020-07-14T12:44:36Z file_id: '5164' file_name: IST-2017-742-v1+1_journal.pbio.2000234.pdf file_size: 2494348 relation: main_file file_date_updated: 2020-07-14T12:44:36Z has_accepted_license: '1' intvolume: ' 14' issue: '12' language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: PLoS Biology publication_status: published publisher: Public Library of Science publist_id: '6200' pubrep_id: '742' quality_controlled: '1' related_material: record: - id: '9862' relation: research_data status: public - id: '9863' relation: research_data status: public scopus_import: 1 status: public title: Shedding light on the grey zone of speciation along a continuum of genomic divergence tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 14 year: '2016' ... --- _id: '9862' article_processing_charge: No author: - first_name: Camille full_name: Roux, Camille last_name: Roux - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Jonathan full_name: Romiguier, Jonathan last_name: Romiguier - first_name: Youann full_name: Anciaux, Youann last_name: Anciaux - first_name: Nicolas full_name: Galtier, Nicolas last_name: Galtier - first_name: Nicolas full_name: Bierne, Nicolas last_name: Bierne citation: ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Simulation study to test the robustness of ABC in face of recent times of divergence. 2016. doi:10.1371/journal.pbio.2000234.s016 apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne, N. (2016). Simulation study to test the robustness of ABC in face of recent times of divergence. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234.s016 chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux, Nicolas Galtier, and Nicolas Bierne. “Simulation Study to Test the Robustness of ABC in Face of Recent Times of Divergence.” Public Library of Science, 2016. https://doi.org/10.1371/journal.pbio.2000234.s016. ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne, “Simulation study to test the robustness of ABC in face of recent times of divergence.” Public Library of Science, 2016. ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Simulation study to test the robustness of ABC in face of recent times of divergence, Public Library of Science, 10.1371/journal.pbio.2000234.s016. mla: Roux, Camille, et al. Simulation Study to Test the Robustness of ABC in Face of Recent Times of Divergence. Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234.s016. short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, (2016). date_created: 2021-08-10T08:20:17Z date_updated: 2023-02-21T16:21:20Z day: '27' department: - _id: BeVi - _id: NiBa doi: 10.1371/journal.pbio.2000234.s016 month: '12' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '1158' relation: used_in_publication status: public status: public title: Simulation study to test the robustness of ABC in face of recent times of divergence type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2016' ... --- _id: '9863' article_processing_charge: No author: - first_name: Camille full_name: Roux, Camille last_name: Roux - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Jonathan full_name: Romiguier, Jonathan last_name: Romiguier - first_name: Youann full_name: Anciaux, Youann last_name: Anciaux - first_name: Nicolas full_name: Galtier, Nicolas last_name: Galtier - first_name: Nicolas full_name: Bierne, Nicolas last_name: Bierne citation: ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Accessions of surveyed individuals, geographic locations and summary statistics. 2016. doi:10.1371/journal.pbio.2000234.s017 apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne, N. (2016). Accessions of surveyed individuals, geographic locations and summary statistics. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234.s017 chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux, Nicolas Galtier, and Nicolas Bierne. “Accessions of Surveyed Individuals, Geographic Locations and Summary Statistics.” Public Library of Science, 2016. https://doi.org/10.1371/journal.pbio.2000234.s017. ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne, “Accessions of surveyed individuals, geographic locations and summary statistics.” Public Library of Science, 2016. ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Accessions of surveyed individuals, geographic locations and summary statistics, Public Library of Science, 10.1371/journal.pbio.2000234.s017. mla: Roux, Camille, et al. Accessions of Surveyed Individuals, Geographic Locations and Summary Statistics. Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234.s017. short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, (2016). date_created: 2021-08-10T08:22:52Z date_updated: 2023-02-21T16:21:20Z day: '27' department: - _id: BeVi - _id: NiBa doi: 10.1371/journal.pbio.2000234.s017 month: '12' oa_version: Published Version publisher: Public Library of Science related_material: record: - id: '1158' relation: used_in_publication status: public status: public title: Accessions of surveyed individuals, geographic locations and summary statistics type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2016' ...