--- _id: '564' abstract: - lang: eng text: "Maladapted individuals can only colonise a new habitat if they can evolve a\r\npositive growth rate fast enough to avoid extinction, a process known as evolutionary\r\nrescue. We treat log fitness at low density in the new habitat as a\r\nsingle polygenic trait and thus use the infinitesimal model to follow the evolution\r\nof the growth rate; this assumes that the trait values of offspring of a\r\nsexual union are normally distributed around the mean of the parents’ trait\r\nvalues, with variance that depends only on the parents’ relatedness. The\r\nprobability that a single migrant can establish depends on just two parameters:\r\nthe mean and genetic variance of the trait in the source population.\r\nThe chance of success becomes small if migrants come from a population\r\nwith mean growth rate in the new habitat more than a few standard deviations\r\nbelow zero; this chance depends roughly equally on the probability\r\nthat the initial founder is unusually fit, and on the subsequent increase in\r\ngrowth rate of its offspring as a result of selection. The loss of genetic variation\r\nduring the founding event is substantial, but highly variable. With\r\ncontinued migration at rate M, establishment is inevitable; when migration\r\nis rare, the expected time to establishment decreases inversely with M.\r\nHowever, above a threshold migration rate, the population may be trapped\r\nin a ‘sink’ state, in which adaptation is held back by gene flow; above this\r\nthreshold, the expected time to establishment increases exponentially with M. This threshold behaviour is captured by a deterministic approximation,\r\nwhich assumes a Gaussian distribution of the trait in the founder population\r\nwith mean and variance evolving deterministically. By assuming a constant\r\ngenetic variance, we also develop a diffusion approximation for the joint distribution\r\nof population size and trait mean, which extends to include stabilising\r\nselection and density regulation. Divergence of the population from its\r\nancestors causes partial reproductive isolation, which we measure through\r\nthe reproductive value of migrants into the newly established population." 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: Alison full_name: Etheridge, Alison last_name: Etheridge citation: ama: Barton NH, Etheridge A. Establishment in a new habitat by polygenic adaptation. Theoretical Population Biology. 2018;122(7):110-127. doi:10.1016/j.tpb.2017.11.007 apa: Barton, N. H., & Etheridge, A. (2018). Establishment in a new habitat by polygenic adaptation. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2017.11.007 chicago: Barton, Nicholas H, and Alison Etheridge. “Establishment in a New Habitat by Polygenic Adaptation.” Theoretical Population Biology. Academic Press, 2018. https://doi.org/10.1016/j.tpb.2017.11.007. ieee: N. H. Barton and A. Etheridge, “Establishment in a new habitat by polygenic adaptation,” Theoretical Population Biology, vol. 122, no. 7. Academic Press, pp. 110–127, 2018. ista: Barton NH, Etheridge A. 2018. Establishment in a new habitat by polygenic adaptation. Theoretical Population Biology. 122(7), 110–127. mla: Barton, Nicholas H., and Alison Etheridge. “Establishment in a New Habitat by Polygenic Adaptation.” Theoretical Population Biology, vol. 122, no. 7, Academic Press, 2018, pp. 110–27, doi:10.1016/j.tpb.2017.11.007. short: N.H. Barton, A. Etheridge, Theoretical Population Biology 122 (2018) 110–127. date_created: 2018-12-11T11:47:12Z date_published: 2018-07-01T00:00:00Z date_updated: 2023-09-11T13:41:22Z day: '01' ddc: - '519' - '576' department: - _id: NiBa doi: 10.1016/j.tpb.2017.11.007 ec_funded: 1 external_id: isi: - '000440392900014' file: - access_level: open_access checksum: 0b96f6db47e3e91b5e7d103b847c239d content_type: application/pdf creator: nbarton date_created: 2019-12-21T09:36:39Z date_updated: 2020-07-14T12:47:09Z file_id: '7199' file_name: bartonetheridge.pdf file_size: 2287682 relation: main_file file_date_updated: 2020-07-14T12:47:09Z has_accepted_license: '1' intvolume: ' 122' isi: 1 issue: '7' language: - iso: eng license: https://creativecommons.org/licenses/by-nc/4.0/ month: '07' oa: 1 oa_version: Submitted Version page: 110-127 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: '7250' quality_controlled: '1' related_material: record: - id: '9842' relation: research_data status: public scopus_import: '1' status: public title: Establishment in a new habitat by polygenic adaptation tmp: image: /images/cc_by_nc.png legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) short: CC BY-NC (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 122 year: '2018' ... --- _id: '563' abstract: - lang: eng text: "In continuous populations with local migration, nearby pairs of individuals have on average more similar genotypes\r\nthan geographically well separated pairs. A barrier to gene flow distorts this classical pattern of isolation by distance. Genetic similarity is decreased for sample pairs on different sides of the barrier and increased for pairs on the same side near the barrier. Here, we introduce an inference scheme that utilizes this signal to detect and estimate the strength of a linear barrier to gene flow in two-dimensions. We use a diffusion approximation to model the effects of a barrier on the geographical spread of ancestry backwards in time. This approach allows us to calculate the chance of recent coalescence and probability of identity by descent. We introduce an inference scheme that fits these theoretical results to the geographical covariance structure of bialleleic genetic markers. It can estimate the strength of the barrier as well as several demographic parameters. We investigate the power of our inference scheme to detect barriers by applying it to a wide range of simulated data. We also showcase an example application to a Antirrhinum majus (snapdragon) flower color hybrid zone, where we do not detect any signal of a strong genome wide barrier to gene flow." article_processing_charge: No author: - first_name: Harald full_name: Ringbauer, Harald id: 417FCFF4-F248-11E8-B48F-1D18A9856A87 last_name: Ringbauer orcid: 0000-0002-4884-9682 - first_name: Alexander full_name: Kolesnikov, Alexander id: 2D157DB6-F248-11E8-B48F-1D18A9856A87 last_name: Kolesnikov - first_name: David full_name: Field, David last_name: Field - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Ringbauer H, Kolesnikov A, Field D, Barton NH. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 2018;208(3):1231-1245. doi:10.1534/genetics.117.300638 apa: Ringbauer, H., Kolesnikov, A., Field, D., & Barton, N. H. (2018). Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.117.300638 chicago: Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.117.300638. ieee: H. Ringbauer, A. Kolesnikov, D. Field, and N. H. Barton, “Estimating barriers to gene flow from distorted isolation-by-distance patterns,” Genetics, vol. 208, no. 3. Genetics Society of America, pp. 1231–1245, 2018. ista: Ringbauer H, Kolesnikov A, Field D, Barton NH. 2018. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 208(3), 1231–1245. mla: Ringbauer, Harald, et al. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics, vol. 208, no. 3, Genetics Society of America, 2018, pp. 1231–45, doi:10.1534/genetics.117.300638. short: H. Ringbauer, A. Kolesnikov, D. Field, N.H. Barton, Genetics 208 (2018) 1231–1245. date_created: 2018-12-11T11:47:12Z date_published: 2018-03-01T00:00:00Z date_updated: 2023-09-11T13:42:38Z day: '01' department: - _id: NiBa - _id: ChLa doi: 10.1534/genetics.117.300638 external_id: isi: - '000426219600025' intvolume: ' 208' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/10.1101/205484v1 month: '03' oa: 1 oa_version: Preprint page: 1231-1245 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '7251' quality_controlled: '1' related_material: record: - id: '200' relation: dissertation_contains status: public scopus_import: '1' status: public title: Estimating barriers to gene flow from distorted isolation-by-distance patterns type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 208 year: '2018' ... --- _id: '316' abstract: - lang: eng text: 'Self-incompatibility (SI) is a genetically based recognition system that functions to prevent self-fertilization and mating among related plants. An enduring puzzle in SI is how the high diversity observed in nature arises and is maintained. Based on the underlying recognition mechanism, SI can be classified into two main groups: self- and non-self recognition. Most work has focused on diversification within self-recognition systems despite expected differences between the two groups in the evolutionary pathways and outcomes of diversification. Here, we use a deterministic population genetic model and stochastic simulations to investigate how novel S-haplotypes evolve in a gametophytic non-self recognition (SRNase/S Locus F-box (SLF)) SI system. For this model the pathways for diversification involve either the maintenance or breakdown of SI and can vary in the order of mutations of the female (SRNase) and male (SLF) components. We show analytically that diversification can occur with high inbreeding depression and self-pollination, but this varies with evolutionary pathway and level of completeness (which determines the number of potential mating partners in the population), and in general is more likely for lower haplotype number. The conditions for diversification are broader in stochastic simulations of finite population size. However, the number of haplotypes observed under high inbreeding and moderate to high self-pollination is less than that commonly observed in nature. Diversification was observed through pathways that maintain SI as well as through self-compatible intermediates. Yet the lifespan of diversified haplotypes was sensitive to their level of completeness. By examining diversification in a non-self recognition SI system, this model extends our understanding of the evolution and maintenance of haplotype diversity observed in a self recognition system common in flowering plants.' article_processing_charge: No article_type: original author: - first_name: Katarina full_name: Bodova, Katarina id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87 last_name: Bodova orcid: 0000-0002-7214-0171 - first_name: Tadeas full_name: Priklopil, Tadeas id: 3C869AA0-F248-11E8-B48F-1D18A9856A87 last_name: Priklopil - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 citation: ama: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. 2018;209(3):861-883. doi:10.1534/genetics.118.300748 apa: Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018). Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.300748 chicago: Bodova, Katarina, Tadeas Priklopil, David Field, Nicholas H Barton, and Melinda Pickup. “Evolutionary Pathways for the Generation of New Self-Incompatibility Haplotypes in a Non-Self Recognition System.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.300748. ieee: K. Bodova, T. Priklopil, D. Field, N. H. Barton, and M. Pickup, “Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system,” Genetics, vol. 209, no. 3. Genetics Society of America, pp. 861–883, 2018. ista: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. 2018. Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. 209(3), 861–883. mla: Bodova, Katarina, et al. “Evolutionary Pathways for the Generation of New Self-Incompatibility Haplotypes in a Non-Self Recognition System.” Genetics, vol. 209, no. 3, Genetics Society of America, 2018, pp. 861–83, doi:10.1534/genetics.118.300748. short: K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, Genetics 209 (2018) 861–883. date_created: 2018-12-11T11:45:47Z date_published: 2018-07-01T00:00:00Z date_updated: 2023-09-11T13:57:43Z day: '01' department: - _id: NiBa - _id: GaTk doi: 10.1534/genetics.118.300748 ec_funded: 1 external_id: isi: - '000437171700017' intvolume: ' 209' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/node/80098.abstract month: '07' oa: 1 oa_version: Preprint page: 861-883 project: - _id: 25B36484-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '329960' name: Mating system and the evolutionary dynamics of hybrid zones - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Genetics publication_status: published publisher: Genetics Society of America quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/recognizing-others-but-not-yourself-new-insights-into-the-evolution-of-plant-mating/ record: - id: '9813' relation: research_data status: public scopus_import: '1' status: public title: Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 209 year: '2018' ... --- _id: '9813' abstract: - lang: eng text: 'File S1 contains figures that clarify the following features: (i) effect of population size on the average number/frequency of SI classes, (ii) changes in the minimal completeness deficit in time for a single class, and (iii) diversification diagrams for all studied pathways, including the summary figure for k = 8. File S2 contains the code required for a stochastic simulation of the SLF system with an example. This file also includes the output in the form of figures and tables.' 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: Tadeas full_name: Priklopil, Tadeas id: 3C869AA0-F248-11E8-B48F-1D18A9856A87 last_name: Priklopil - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 citation: ama: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Supplemental material for Bodova et al., 2018. 2018. doi:10.25386/genetics.6148304.v1 apa: Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018). Supplemental material for Bodova et al., 2018. Genetics Society of America. https://doi.org/10.25386/genetics.6148304.v1 chicago: Bodova, Katarina, Tadeas Priklopil, David Field, Nicholas H Barton, and Melinda Pickup. “Supplemental Material for Bodova et Al., 2018.” Genetics Society of America, 2018. https://doi.org/10.25386/genetics.6148304.v1. ieee: K. Bodova, T. Priklopil, D. Field, N. H. Barton, and M. Pickup, “Supplemental material for Bodova et al., 2018.” Genetics Society of America, 2018. ista: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. 2018. Supplemental material for Bodova et al., 2018, Genetics Society of America, 10.25386/genetics.6148304.v1. mla: Bodova, Katarina, et al. Supplemental Material for Bodova et Al., 2018. Genetics Society of America, 2018, doi:10.25386/genetics.6148304.v1. short: K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, (2018). date_created: 2021-08-06T13:04:32Z date_published: 2018-04-30T00:00:00Z date_updated: 2023-09-11T13:57:42Z day: '30' department: - _id: NiBa - _id: GaTk doi: 10.25386/genetics.6148304.v1 main_file_link: - open_access: '1' url: https://doi.org/10.25386/genetics.6148304.v1 month: '04' oa: 1 oa_version: Published Version publisher: Genetics Society of America related_material: record: - id: '316' relation: used_in_publication status: public status: public title: Supplemental material for Bodova et al., 2018 type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2018' ... --- _id: '723' abstract: - lang: eng text: Escaping local optima is one of the major obstacles to function optimisation. Using the metaphor of a fitness landscape, local optima correspond to hills separated by fitness valleys that have to be overcome. We define a class of fitness valleys of tunable difficulty by considering their length, representing the Hamming path between the two optima and their depth, the drop in fitness. For this function class we present a runtime comparison between stochastic search algorithms using different search strategies. The (1+1) EA is a simple and well-studied evolutionary algorithm that has to jump across the valley to a point of higher fitness because it does not accept worsening moves (elitism). In contrast, the Metropolis algorithm and the Strong Selection Weak Mutation (SSWM) algorithm, a famous process in population genetics, are both able to cross the fitness valley by accepting worsening moves. We show that the runtime of the (1+1) EA depends critically on the length of the valley while the runtimes of the non-elitist algorithms depend crucially on the depth of the valley. Moreover, we show that both SSWM and Metropolis can also efficiently optimise a rugged function consisting of consecutive valleys. article_processing_charge: No author: - first_name: Pietro full_name: Oliveto, Pietro last_name: Oliveto - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Jorge full_name: Pérez Heredia, Jorge last_name: Pérez Heredia - first_name: Dirk full_name: Sudholt, Dirk last_name: Sudholt - first_name: Barbora full_name: Trubenova, Barbora id: 42302D54-F248-11E8-B48F-1D18A9856A87 last_name: Trubenova orcid: 0000-0002-6873-2967 citation: ama: Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. 2018;80(5):1604-1633. doi:10.1007/s00453-017-0369-2 apa: Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B. (2018). How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. Springer. https://doi.org/10.1007/s00453-017-0369-2 chicago: Oliveto, Pietro, Tiago Paixao, Jorge Pérez Heredia, Dirk Sudholt, and Barbora Trubenova. “How to Escape Local Optima in Black Box Optimisation When Non Elitism Outperforms Elitism.” Algorithmica. Springer, 2018. https://doi.org/10.1007/s00453-017-0369-2. ieee: P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How to escape local optima in black box optimisation when non elitism outperforms elitism,” Algorithmica, vol. 80, no. 5. Springer, pp. 1604–1633, 2018. ista: Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2018. How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. 80(5), 1604–1633. mla: Oliveto, Pietro, et al. “How to Escape Local Optima in Black Box Optimisation When Non Elitism Outperforms Elitism.” Algorithmica, vol. 80, no. 5, Springer, 2018, pp. 1604–33, doi:10.1007/s00453-017-0369-2. short: P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica 80 (2018) 1604–1633. date_created: 2018-12-11T11:48:09Z date_published: 2018-05-01T00:00:00Z date_updated: 2023-09-11T14:11:35Z day: '01' ddc: - '576' department: - _id: NiBa - _id: CaGu doi: 10.1007/s00453-017-0369-2 ec_funded: 1 external_id: isi: - '000428239300010' file: - access_level: open_access checksum: 7d92f5d7be81e387edeec4f06442791c content_type: application/pdf creator: system date_created: 2018-12-12T10:08:14Z date_updated: 2020-07-14T12:47:54Z file_id: '4674' file_name: IST-2018-1014-v1+1_2018_Paixao_Escape.pdf file_size: 691245 relation: main_file file_date_updated: 2020-07-14T12:47:54Z has_accepted_license: '1' intvolume: ' 80' isi: 1 issue: '5' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '05' oa: 1 oa_version: Published Version page: 1604 - 1633 project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation publication: Algorithmica publication_status: published publisher: Springer publist_id: '6957' pubrep_id: '1014' quality_controlled: '1' scopus_import: '1' status: public title: How to escape local optima in black box optimisation when non elitism outperforms elitism 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: 80 year: '2018' ... --- _id: '282' abstract: - lang: eng text: Adaptive introgression is common in nature and can be driven by selection acting on multiple, linked genes. We explore the effects of polygenic selection on introgression under the infinitesimal model with linkage. This model assumes that the introgressing block has an effectively infinite number of genes, each with an infinitesimal effect on the trait under selection. The block is assumed to introgress under directional selection within a native population that is genetically homogeneous. We use individual-based simulations and a branching process approximation to compute various statistics of the introgressing block, and explore how these depend on parameters such as the map length and initial trait value associated with the introgressing block, the genetic variability along the block, and the strength of selection. Our results show that the introgression dynamics of a block under infinitesimal selection is qualitatively different from the dynamics of neutral introgression. We also find that in the long run, surviving descendant blocks are likely to have intermediate lengths, and clarify how the length is shaped by the interplay between linkage and infinitesimal selection. Our results suggest that it may be difficult to distinguish introgression of single loci from that of genomic blocks with multiple, tightly linked and weakly selected loci. article_processing_charge: No author: - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Sachdeva H, Barton NH. Introgression of a block of genome under infinitesimal selection. Genetics. 2018;209(4):1279-1303. doi:10.1534/genetics.118.301018 apa: Sachdeva, H., & Barton, N. H. (2018). Introgression of a block of genome under infinitesimal selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301018 chicago: Sachdeva, Himani, and Nicholas H Barton. “Introgression of a Block of Genome under Infinitesimal Selection.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.301018. ieee: H. Sachdeva and N. H. Barton, “Introgression of a block of genome under infinitesimal selection,” Genetics, vol. 209, no. 4. Genetics Society of America, pp. 1279–1303, 2018. ista: Sachdeva H, Barton NH. 2018. Introgression of a block of genome under infinitesimal selection. Genetics. 209(4), 1279–1303. mla: Sachdeva, Himani, and Nicholas H. Barton. “Introgression of a Block of Genome under Infinitesimal Selection.” Genetics, vol. 209, no. 4, Genetics Society of America, 2018, pp. 1279–303, doi:10.1534/genetics.118.301018. short: H. Sachdeva, N.H. Barton, Genetics 209 (2018) 1279–1303. date_created: 2018-12-11T11:45:36Z date_published: 2018-08-01T00:00:00Z date_updated: 2023-09-13T08:22:32Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.118.301018 external_id: isi: - '000440014100020' intvolume: ' 209' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/early/2017/11/30/227082 month: '08' oa: 1 oa_version: Submitted Version page: 1279 - 1303 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '7617' quality_controlled: '1' scopus_import: '1' status: public title: Introgression of a block of genome under infinitesimal selection type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 209 year: '2018' ... --- _id: '39' abstract: - lang: eng text: We study how a block of genome with a large number of weakly selected loci introgresses under directional selection into a genetically homogeneous population. We derive exact expressions for the expected rate of growth of any fragment of the introduced block during the initial phase of introgression, and show that the growth rate of a single-locus variant is largely insensitive to its own additive effect, but depends instead on the combined effect of all loci within a characteristic linkage scale. The expected growth rate of a fragment is highly correlated with its long-term introgression probability in populations of moderate size, and can hence identify variants that are likely to introgress across replicate populations. We clarify how the introgression probability of an individual variant is determined by the interplay between hitchhiking with relatively large fragments during the early phase of introgression and selection on fine-scale variation within these, which at longer times results in differential introgression probabilities for beneficial and deleterious loci within successful fragments. By simulating individuals, we also investigate how introgression probabilities at individual loci depend on the variance of fitness effects, the net fitness of the introduced block, and the size of the recipient population, and how this shapes the net advance under selection. Our work suggests that even highly replicable substitutions may be associated with a range of selective effects, which makes it challenging to fine map the causal loci that underlie polygenic adaptation. article_processing_charge: No article_type: original author: - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Sachdeva H, Barton NH. Replicability of introgression under linked, polygenic selection. Genetics. 2018;210(4):1411-1427. doi:10.1534/genetics.118.301429 apa: Sachdeva, H., & Barton, N. H. (2018). Replicability of introgression under linked, polygenic selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301429 chicago: Sachdeva, Himani, and Nicholas H Barton. “Replicability of Introgression under Linked, Polygenic Selection.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.301429. ieee: H. Sachdeva and N. H. Barton, “Replicability of introgression under linked, polygenic selection,” Genetics, vol. 210, no. 4. Genetics Society of America, pp. 1411–1427, 2018. ista: Sachdeva H, Barton NH. 2018. Replicability of introgression under linked, polygenic selection. Genetics. 210(4), 1411–1427. mla: Sachdeva, Himani, and Nicholas H. Barton. “Replicability of Introgression under Linked, Polygenic Selection.” Genetics, vol. 210, no. 4, Genetics Society of America, 2018, pp. 1411–27, doi:10.1534/genetics.118.301429. short: H. Sachdeva, N.H. Barton, Genetics 210 (2018) 1411–1427. date_created: 2018-12-11T11:44:18Z date_published: 2018-12-04T00:00:00Z date_updated: 2023-09-18T08:10:29Z day: '04' department: - _id: NiBa doi: 10.1534/genetics.118.301429 external_id: isi: - '000452315900021' intvolume: ' 210' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/10.1101/379578v1 month: '12' oa: 1 oa_version: Preprint page: 1411-1427 publication: Genetics publication_identifier: issn: - '00166731' publication_status: published publisher: Genetics Society of America quality_controlled: '1' scopus_import: '1' status: public title: Replicability of introgression under linked, polygenic selection type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 210 year: '2018' ... --- _id: '38' abstract: - lang: eng text: 'Genomes of closely-related species or populations often display localized regions of enhanced relative sequence divergence, termed genomic islands. It has been proposed that these islands arise through selective sweeps and/or barriers to gene flow. Here, we genetically dissect a genomic island that controls flower color pattern differences between two subspecies of Antirrhinum majus, A.m.striatum and A.m.pseudomajus, and relate it to clinal variation across a natural hybrid zone. We show that selective sweeps likely raised relative divergence at two tightly-linked MYB-like transcription factors, leading to distinct flower patterns in the two subspecies. The two patterns provide alternate floral guides and create a strong barrier to gene flow where populations come into contact. This barrier affects the selected flower color genes and tightlylinked loci, but does not extend outside of this domain, allowing gene flow to lower relative divergence for the rest of the chromosome. Thus, both selective sweeps and barriers to gene flow play a role in shaping genomic islands: sweeps cause elevation in relative divergence, while heterogeneous gene flow flattens the surrounding "sea," making the island of divergence stand out. By showing how selective sweeps establish alternative adaptive phenotypes that lead to barriers to gene flow, our study sheds light on possible mechanisms leading to reproductive isolation and speciation.' acknowledgement: ' ERC Grant 201252 (to N.H.B.)' article_processing_charge: No author: - first_name: Hugo full_name: Tavares, Hugo last_name: Tavares - first_name: Annabel full_name: Whitley, Annabel last_name: Whitley - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Desmond full_name: Bradley, Desmond last_name: Bradley - first_name: Matthew full_name: Couchman, Matthew last_name: Couchman - first_name: Lucy full_name: Copsey, Lucy last_name: Copsey - first_name: Joane full_name: Elleouet, Joane last_name: Elleouet - first_name: Monique full_name: Burrus, Monique last_name: Burrus - first_name: Christophe full_name: Andalo, Christophe last_name: Andalo - first_name: Miaomiao full_name: Li, Miaomiao last_name: Li - first_name: Qun full_name: Li, Qun last_name: Li - first_name: Yongbiao full_name: Xue, Yongbiao last_name: Xue - first_name: Alexandra B full_name: Rebocho, Alexandra B last_name: Rebocho - 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: Enrico full_name: Coen, Enrico last_name: Coen citation: ama: Tavares H, Whitley A, Field D, et al. Selection and gene flow shape genomic islands that control floral guides. PNAS. 2018;115(43):11006-11011. doi:10.1073/pnas.1801832115 apa: Tavares, H., Whitley, A., Field, D., Bradley, D., Couchman, M., Copsey, L., … Coen, E. (2018). Selection and gene flow shape genomic islands that control floral guides. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1801832115 chicago: Tavares, Hugo, Annabel Whitley, David Field, Desmond Bradley, Matthew Couchman, Lucy Copsey, Joane Elleouet, et al. “Selection and Gene Flow Shape Genomic Islands That Control Floral Guides.” PNAS. National Academy of Sciences, 2018. https://doi.org/10.1073/pnas.1801832115. ieee: H. Tavares et al., “Selection and gene flow shape genomic islands that control floral guides,” PNAS, vol. 115, no. 43. National Academy of Sciences, pp. 11006–11011, 2018. ista: Tavares H, Whitley A, Field D, Bradley D, Couchman M, Copsey L, Elleouet J, Burrus M, Andalo C, Li M, Li Q, Xue Y, Rebocho AB, Barton NH, Coen E. 2018. Selection and gene flow shape genomic islands that control floral guides. PNAS. 115(43), 11006–11011. mla: Tavares, Hugo, et al. “Selection and Gene Flow Shape Genomic Islands That Control Floral Guides.” PNAS, vol. 115, no. 43, National Academy of Sciences, 2018, pp. 11006–11, doi:10.1073/pnas.1801832115. short: H. Tavares, A. Whitley, D. Field, D. Bradley, M. Couchman, L. Copsey, J. Elleouet, M. Burrus, C. Andalo, M. Li, Q. Li, Y. Xue, A.B. Rebocho, N.H. Barton, E. Coen, PNAS 115 (2018) 11006–11011. date_created: 2018-12-11T11:44:18Z date_published: 2018-10-23T00:00:00Z date_updated: 2023-09-18T08:36:49Z day: '23' ddc: - '570' department: - _id: NiBa doi: 10.1073/pnas.1801832115 external_id: isi: - '000448040500065' pmid: - '30297406' file: - access_level: open_access checksum: d2305d0cc81dbbe4c1c677d64ad6f6d1 content_type: application/pdf creator: dernst date_created: 2018-12-17T08:44:03Z date_updated: 2020-07-14T12:46:16Z file_id: '5683' file_name: 11006.full.pdf file_size: 1911302 relation: main_file file_date_updated: 2020-07-14T12:46:16Z has_accepted_license: '1' intvolume: ' 115' isi: 1 issue: '43' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '10' oa: 1 oa_version: Published Version page: 11006 - 11011 pmid: 1 publication: PNAS publication_identifier: issn: - '00278424' publication_status: published publisher: National Academy of Sciences publist_id: '8017' quality_controlled: '1' scopus_import: '1' status: public title: Selection and gene flow shape genomic islands that control floral guides tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 115 year: '2018' ... --- _id: '40' abstract: - lang: eng text: Hanemaaijer et al. (Molecular Ecology, 27, 2018) describe the genetic consequences of the introgression of an insecticide resistance allele into a mosquito population. Linked alleles initially increased, but many of these later declined. It is hard to determine whether this decline was due to counter‐selection, rather than simply to chance. article_processing_charge: Yes (via OA deal) article_type: letter_note 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. The consequences of an introgression event. Molecular Ecology. 2018;27(24):4973-4975. doi:10.1111/mec.14950 apa: Barton, N. H. (2018). The consequences of an introgression event. Molecular Ecology. Wiley. https://doi.org/10.1111/mec.14950 chicago: Barton, Nicholas H. “The Consequences of an Introgression Event.” Molecular Ecology. Wiley, 2018. https://doi.org/10.1111/mec.14950. ieee: N. H. Barton, “The consequences of an introgression event,” Molecular Ecology, vol. 27, no. 24. Wiley, pp. 4973–4975, 2018. ista: Barton NH. 2018. The consequences of an introgression event. Molecular Ecology. 27(24), 4973–4975. mla: Barton, Nicholas H. “The Consequences of an Introgression Event.” Molecular Ecology, vol. 27, no. 24, Wiley, 2018, pp. 4973–75, doi:10.1111/mec.14950. short: N.H. Barton, Molecular Ecology 27 (2018) 4973–4975. date_created: 2018-12-11T11:44:18Z date_published: 2018-12-31T00:00:00Z date_updated: 2023-09-19T10:06:08Z day: '31' ddc: - '576' department: - _id: NiBa doi: 10.1111/mec.14950 external_id: isi: - '000454600500001' pmid: - '30599087' file: - access_level: open_access content_type: application/pdf creator: apreinsp date_created: 2019-07-19T06:54:46Z date_updated: 2020-07-14T12:46:22Z file_id: '6652' file_name: 2018_MolecularEcology_BartonNick.pdf file_size: 295452 relation: main_file file_date_updated: 2020-07-14T12:46:22Z has_accepted_license: '1' intvolume: ' 27' isi: 1 issue: '24' language: - iso: eng month: '12' oa: 1 oa_version: Published Version page: 4973-4975 pmid: 1 publication: Molecular Ecology publication_identifier: issn: - 1365294X publication_status: published publisher: Wiley publist_id: '8014' quality_controlled: '1' related_material: record: - id: '9805' relation: research_data status: public scopus_import: '1' status: public title: The consequences of an introgression event 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: 27 year: '2018' ... --- _id: '565' abstract: - lang: eng text: 'We re-examine the model of Kirkpatrick and Barton for the spread of an inversion into a local population. This model assumes that local selection maintains alleles at two or more loci, despite immigration of alternative alleles at these loci from another population. We show that an inversion is favored because it prevents the breakdown of linkage disequilibrium generated by migration; the selective advantage of an inversion is proportional to the amount of recombination between the loci involved, as in other cases where inversions are selected for. We derive expressions for the rate of spread of an inversion; when the loci covered by the inversion are tightly linked, these conditions deviate substantially from those proposed previously, and imply that an inversion can then have only a small advantage. ' article_processing_charge: No article_type: original author: - first_name: Brian full_name: Charlesworth, Brian last_name: Charlesworth - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Charlesworth B, Barton NH. The spread of an inversion with migration and selection. Genetics. 2018;208(1):377-382. doi:10.1534/genetics.117.300426 apa: Charlesworth, B., & Barton, N. H. (2018). The spread of an inversion with migration and selection. Genetics. Genetics . https://doi.org/10.1534/genetics.117.300426 chicago: Charlesworth, Brian, and Nicholas H Barton. “The Spread of an Inversion with Migration and Selection.” Genetics. Genetics , 2018. https://doi.org/10.1534/genetics.117.300426. ieee: B. Charlesworth and N. H. Barton, “The spread of an inversion with migration and selection,” Genetics, vol. 208, no. 1. Genetics , pp. 377–382, 2018. ista: Charlesworth B, Barton NH. 2018. The spread of an inversion with migration and selection. Genetics. 208(1), 377–382. mla: Charlesworth, Brian, and Nicholas H. Barton. “The Spread of an Inversion with Migration and Selection.” Genetics, vol. 208, no. 1, Genetics , 2018, pp. 377–82, doi:10.1534/genetics.117.300426. short: B. Charlesworth, N.H. Barton, Genetics 208 (2018) 377–382. date_created: 2018-12-11T11:47:12Z date_published: 2018-01-01T00:00:00Z date_updated: 2023-09-19T10:12:31Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.117.300426 external_id: isi: - '000419356300025' pmid: - '29158424' intvolume: ' 208' isi: 1 issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753870/ month: '01' oa: 1 oa_version: Published Version page: 377 - 382 pmid: 1 publication: Genetics publication_status: published publisher: 'Genetics ' publist_id: '7249' quality_controlled: '1' scopus_import: '1' status: public title: The spread of an inversion with migration and selection type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 208 year: '2018' ...