[{"oa":1,"citation":{"ama":"Pickup M, Barton NH, Brandvain Y, et al. Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow. <i>New Phytologist</i>. 2019;224(3):1035-1047. doi:<a href=\"https://doi.org/10.1111/nph.16180\">10.1111/nph.16180</a>","ieee":"M. Pickup <i>et al.</i>, “Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow,” <i>New Phytologist</i>, vol. 224, no. 3. Wiley, pp. 1035–1047, 2019.","chicago":"Pickup, Melinda, Nicholas H Barton, Yaniv Brandvain, Christelle Fraisse, Sarah Yakimowski, Tanmay Dixit, Christian Lexer, Eva Cereghetti, and David Field. “Mating System Variation in Hybrid Zones: Facilitation, Barriers and Asymmetries to Gene Flow.” <i>New Phytologist</i>. Wiley, 2019. <a href=\"https://doi.org/10.1111/nph.16180\">https://doi.org/10.1111/nph.16180</a>.","mla":"Pickup, Melinda, et al. “Mating System Variation in Hybrid Zones: Facilitation, Barriers and Asymmetries to Gene Flow.” <i>New Phytologist</i>, vol. 224, no. 3, Wiley, 2019, pp. 1035–47, doi:<a href=\"https://doi.org/10.1111/nph.16180\">10.1111/nph.16180</a>.","apa":"Pickup, M., Barton, N. H., Brandvain, Y., Fraisse, C., Yakimowski, S., Dixit, T., … Field, D. (2019). Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow. <i>New Phytologist</i>. Wiley. <a href=\"https://doi.org/10.1111/nph.16180\">https://doi.org/10.1111/nph.16180</a>","ista":"Pickup M, Barton NH, Brandvain Y, Fraisse C, Yakimowski S, Dixit T, Lexer C, Cereghetti E, Field D. 2019. Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow. New Phytologist. 224(3), 1035–1047.","short":"M. Pickup, N.H. Barton, Y. Brandvain, C. Fraisse, S. Yakimowski, T. Dixit, C. Lexer, E. Cereghetti, D. Field, New Phytologist 224 (2019) 1035–1047."},"title":"Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow","_id":"6856","article_processing_charge":"No","publication":"New Phytologist","publication_status":"published","file":[{"file_size":1511958,"creator":"dernst","checksum":"21e4c95599bbcaf7c483b89954658672","relation":"main_file","date_created":"2019-11-13T08:15:05Z","date_updated":"2020-07-14T12:47:42Z","access_level":"open_access","file_name":"2019_NewPhytologist_Pickup.pdf","file_id":"7011","content_type":"application/pdf"}],"doi":"10.1111/nph.16180","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","oa_version":"Published Version","author":[{"orcid":"0000-0001-6118-0541","last_name":"Pickup","full_name":"Pickup, Melinda","first_name":"Melinda","id":"2C78037E-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","full_name":"Barton, Nicholas H","last_name":"Barton","orcid":"0000-0002-8548-5240"},{"first_name":"Yaniv","full_name":"Brandvain, Yaniv","last_name":"Brandvain"},{"orcid":"0000-0001-8441-5075","last_name":"Fraisse","full_name":"Fraisse, Christelle","id":"32DF5794-F248-11E8-B48F-1D18A9856A87","first_name":"Christelle"},{"full_name":"Yakimowski, Sarah","first_name":"Sarah","last_name":"Yakimowski"},{"full_name":"Dixit, Tanmay","first_name":"Tanmay","last_name":"Dixit"},{"last_name":"Lexer","full_name":"Lexer, Christian","first_name":"Christian"},{"first_name":"Eva","full_name":"Cereghetti, Eva","id":"71AA91B4-05ED-11EA-8BEB-F5833E63BD63","last_name":"Cereghetti"},{"first_name":"David","id":"419049E2-F248-11E8-B48F-1D18A9856A87","full_name":"Field, David","orcid":"0000-0002-4014-8478","last_name":"Field"}],"date_published":"2019-11-01T00:00:00Z","ec_funded":1,"intvolume":"       224","date_updated":"2023-10-18T08:47:08Z","issue":"3","project":[{"grant_number":"329960","call_identifier":"FP7","_id":"25B36484-B435-11E9-9278-68D0E5697425","name":"Mating system and the evolutionary dynamics of hybrid zones"},{"name":"Sex chromosomes and species barriers","grant_number":"M02463","call_identifier":"FWF","_id":"2662AADE-B435-11E9-9278-68D0E5697425"}],"volume":224,"publication_identifier":{"issn":["0028-646X"],"eissn":["1469-8137"]},"year":"2019","language":[{"iso":"eng"}],"pmid":1,"page":"1035-1047","department":[{"_id":"NiBa"}],"month":"11","article_type":"original","file_date_updated":"2020-07-14T12:47:42Z","day":"01","type":"journal_article","status":"public","abstract":[{"text":"Plant mating systems play a key role in structuring genetic variation both within and between species. In hybrid zones, the outcomes and dynamics of hybridization are usually interpreted as the balance between gene flow and selection against hybrids. Yet, mating systems can introduce selective forces that alter these expectations; with diverse outcomes for the level and direction of gene flow depending on variation in outcrossing and whether the mating systems of the species pair are the same or divergent. We present a survey of hybridization in 133 species pairs from 41 plant families and examine how patterns of hybridization vary with mating system. We examine if hybrid zone mode, level of gene flow, asymmetries in gene flow and the frequency of reproductive isolating barriers vary in relation to mating system/s of the species pair. We combine these results with a simulation model and examples from the literature to address two general themes: (i) the two‐way interaction between introgression and the evolution of reproductive systems, and (ii) how mating system can facilitate or restrict interspecific gene flow. We conclude that examining mating system with hybridization provides unique opportunities to understand divergence and the processes underlying reproductive isolation.","lang":"eng"}],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"ddc":["570"],"has_accepted_license":"1","publisher":"Wiley","quality_controlled":"1","external_id":{"pmid":["31505037"]},"date_created":"2019-09-07T14:35:40Z"},{"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","oa":1,"citation":{"short":"B. Giese, J.L. Friess, M.F. Schetelig, N.H. Barton, P. Messer, F. Debarre, H. Meimberg, N. Windbichler, C. Boete, BioEssays 41 (2019).","ista":"Giese B, Friess JL, Schetelig MF, Barton NH, Messer P, Debarre F, Meimberg H, Windbichler N, Boete C. 2019. Gene Drives: Dynamics and regulatory matters – A report from the workshop “Evaluation of spatial and temporal control of Gene Drives”, 4 – 5 April 2019, Vienna. BioEssays. 41(11), 1900151.","mla":"Giese, B., et al. “Gene Drives: Dynamics and Regulatory Matters – A Report from the Workshop ‘Evaluation of Spatial and Temporal Control of Gene Drives’, 4 – 5 April 2019, Vienna.” <i>BioEssays</i>, vol. 41, no. 11, 1900151, Wiley, 2019, doi:<a href=\"https://doi.org/10.1002/bies.201900151\">10.1002/bies.201900151</a>.","apa":"Giese, B., Friess, J. L., Schetelig, M. F., Barton, N. H., Messer, P., Debarre, F., … Boete, C. (2019). Gene Drives: Dynamics and regulatory matters – A report from the workshop “Evaluation of spatial and temporal control of Gene Drives”, 4 – 5 April 2019, Vienna. <i>BioEssays</i>. Wiley. <a href=\"https://doi.org/10.1002/bies.201900151\">https://doi.org/10.1002/bies.201900151</a>","ama":"Giese B, Friess JL, Schetelig MF, et al. Gene Drives: Dynamics and regulatory matters – A report from the workshop “Evaluation of spatial and temporal control of Gene Drives”, 4 – 5 April 2019, Vienna. <i>BioEssays</i>. 2019;41(11). doi:<a href=\"https://doi.org/10.1002/bies.201900151\">10.1002/bies.201900151</a>","ieee":"B. Giese <i>et al.</i>, “Gene Drives: Dynamics and regulatory matters – A report from the workshop ‘Evaluation of spatial and temporal control of Gene Drives’, 4 – 5 April 2019, Vienna,” <i>BioEssays</i>, vol. 41, no. 11. Wiley, 2019.","chicago":"Giese, B, J L Friess, M F  Schetelig, Nicholas H Barton, Philip Messer, Florence Debarre, H Meimberg, N Windbichler, and C Boete. “Gene Drives: Dynamics and Regulatory Matters – A Report from the Workshop ‘Evaluation of Spatial and Temporal Control of Gene Drives’, 4 – 5 April 2019, Vienna.” <i>BioEssays</i>. Wiley, 2019. <a href=\"https://doi.org/10.1002/bies.201900151\">https://doi.org/10.1002/bies.201900151</a>."},"article_number":"1900151","_id":"6857","article_processing_charge":"No","publication":"BioEssays","title":"Gene Drives: Dynamics and regulatory matters – A report from the workshop “Evaluation of spatial and temporal control of Gene Drives”, 4 – 5 April 2019, Vienna","file":[{"access_level":"open_access","file_name":"2019_BioEssays_Giese.pdf","content_type":"application/pdf","file_id":"6939","file_size":193248,"creator":"dernst","checksum":"8cc7551bff70b2658f8d5630f228ee12","date_created":"2019-10-11T06:59:26Z","relation":"main_file","date_updated":"2020-07-14T12:47:42Z"}],"publication_status":"published","doi":"10.1002/bies.201900151","author":[{"last_name":"Giese","full_name":"Giese, B","first_name":"B"},{"last_name":"Friess","full_name":"Friess, J L","first_name":"J L"},{"last_name":"Schetelig","full_name":"Schetelig, M F ","first_name":"M F "},{"orcid":"0000-0002-8548-5240","last_name":"Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","full_name":"Barton, Nicholas H","first_name":"Nicholas H"},{"first_name":"Philip","full_name":"Messer, Philip","last_name":"Messer"},{"full_name":"Debarre, Florence","first_name":"Florence","last_name":"Debarre"},{"last_name":"Meimberg","first_name":"H","full_name":"Meimberg, H"},{"first_name":"N","full_name":"Windbichler, N","last_name":"Windbichler"},{"last_name":"Boete","first_name":"C","full_name":"Boete, C"}],"date_published":"2019-11-01T00:00:00Z","intvolume":"        41","date_updated":"2023-08-30T06:56:26Z","issue":"11","scopus_import":"1","oa_version":"Published Version","department":[{"_id":"NiBa"}],"month":"11","article_type":"original","isi":1,"volume":41,"publication_identifier":{"eissn":["1521-1878"]},"year":"2019","language":[{"iso":"eng"}],"quality_controlled":"1","publisher":"Wiley","external_id":{"isi":["000489502000001"]},"date_created":"2019-09-07T14:40:03Z","file_date_updated":"2020-07-14T12:47:42Z","day":"01","type":"journal_article","status":"public","abstract":[{"text":"Gene Drives are regarded as future tools with a high potential for population control. Due to their inherent ability to overcome the rules of Mendelian inheritance, gene drives (GD) may spread genes rapidly through populations of sexually reproducing organisms. A release of organisms carrying a GD would constitute a paradigm shift in the handling of genetically modified organisms because gene drive organisms (GDO) are designed to drive their transgenes into wild populations and thereby increase the number of GDOs. The rapid development in this field and its focus on wild populations demand a prospective risk assessment with a focus on exposure related aspects. Presently, it is unclear how adequate risk management could be guaranteed to limit the spread of GDs in time and space, in order to avoid potential adverse effects in socio‐ecological systems.\r\n\r\nThe recent workshop on the “Evaluation of Spatial and Temporal Control of Gene Drives” hosted by the Institute of Safety/Security and Risk Sciences (ISR) in Vienna aimed at gaining some insight into the potential population dynamic behavior of GDs and appropriate measures of control. Scientists from France, Germany, England, and the USA discussed both topics in this meeting on April 4–5, 2019. This article summarizes results of the workshop.","lang":"eng"}],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"ddc":["570"],"has_accepted_license":"1"},{"date_created":"2019-09-07T14:43:02Z","publisher":"Oxford University Press","quality_controlled":"1","external_id":{"isi":["000467957400025"]},"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"ddc":["570"],"has_accepted_license":"1","day":"01","file_date_updated":"2020-10-02T09:16:44Z","type":"journal_article","status":"public","month":"03","article_type":"review","department":[{"_id":"NiBa"}],"page":"291-292","volume":6,"publication_identifier":{"eissn":["2053-714X"],"issn":["2095-5138"]},"year":"2019","language":[{"iso":"eng"}],"isi":1,"intvolume":"         6","date_updated":"2023-08-29T07:51:09Z","issue":"2","author":[{"orcid":"0000-0002-8548-5240","last_name":"Barton","first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","full_name":"Barton, Nicholas H"}],"date_published":"2019-03-01T00:00:00Z","oa_version":"Published Version","scopus_import":"1","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","title":"Is speciation driven by cycles of mixing and isolation?","_id":"6858","article_processing_charge":"No","publication":"National Science Review","file":[{"checksum":"571d60fa21a568607d1fd04e119da88c","success":1,"file_size":106463,"creator":"dernst","date_created":"2020-10-02T09:16:44Z","relation":"main_file","date_updated":"2020-10-02T09:16:44Z","access_level":"open_access","file_name":"2019_NSR_Barton.pdf","file_id":"8595","content_type":"application/pdf"}],"publication_status":"published","doi":"10.1093/nsr/nwy113","oa":1,"citation":{"apa":"Barton, N. H. (2019). Is speciation driven by cycles of mixing and isolation? <i>National Science Review</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/nsr/nwy113\">https://doi.org/10.1093/nsr/nwy113</a>","mla":"Barton, Nicholas H. “Is Speciation Driven by Cycles of Mixing and Isolation?” <i>National Science Review</i>, vol. 6, no. 2, Oxford University Press, 2019, pp. 291–92, doi:<a href=\"https://doi.org/10.1093/nsr/nwy113\">10.1093/nsr/nwy113</a>.","short":"N.H. Barton, National Science Review 6 (2019) 291–292.","ista":"Barton NH. 2019. Is speciation driven by cycles of mixing and isolation? National Science Review. 6(2), 291–292.","chicago":"Barton, Nicholas H. “Is Speciation Driven by Cycles of Mixing and Isolation?” <i>National Science Review</i>. Oxford University Press, 2019. <a href=\"https://doi.org/10.1093/nsr/nwy113\">https://doi.org/10.1093/nsr/nwy113</a>.","ama":"Barton NH. Is speciation driven by cycles of mixing and isolation? <i>National Science Review</i>. 2019;6(2):291-292. doi:<a href=\"https://doi.org/10.1093/nsr/nwy113\">10.1093/nsr/nwy113</a>","ieee":"N. H. Barton, “Is speciation driven by cycles of mixing and isolation?,” <i>National Science Review</i>, vol. 6, no. 2. Oxford University Press, pp. 291–292, 2019."}},{"department":[{"_id":"NiBa"}],"month":"02","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","citation":{"apa":"Merrill, R. M., Rastas, P., Martin, S. H., Melo Hurtado, M. C., Barker, S., Davey, J., … Jiggins, C. D. (2019). Raw behavioral data. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">https://doi.org/10.1371/journal.pbio.2005902.s006</a>","mla":"Merrill, Richard M., et al. <i>Raw Behavioral Data</i>. Public Library of Science, 2019, doi:<a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">10.1371/journal.pbio.2005902.s006</a>.","short":"R.M. Merrill, P. Rastas, S.H. Martin, M.C. Melo Hurtado, S. Barker, J. Davey, W.O. Mcmillan, C.D. Jiggins, (2019).","ista":"Merrill RM, Rastas P, Martin SH, Melo Hurtado MC, Barker S, Davey J, Mcmillan WO, Jiggins CD. 2019. Raw behavioral data, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">10.1371/journal.pbio.2005902.s006</a>.","ama":"Merrill RM, Rastas P, Martin SH, et al. Raw behavioral data. 2019. doi:<a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">10.1371/journal.pbio.2005902.s006</a>","ieee":"R. M. Merrill <i>et al.</i>, “Raw behavioral data.” Public Library of Science, 2019.","chicago":"Merrill, Richard M., Pasi Rastas, Simon H. Martin, Maria C Melo Hurtado, Sarah Barker, John Davey, W. Owen Mcmillan, and Chris D. Jiggins. “Raw Behavioral Data.” Public Library of Science, 2019. <a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">https://doi.org/10.1371/journal.pbio.2005902.s006</a>."},"year":"2019","doi":"10.1371/journal.pbio.2005902.s006","title":"Raw behavioral data","_id":"9801","article_processing_charge":"No","date_published":"2019-02-07T00:00:00Z","publisher":"Public Library of Science","author":[{"last_name":"Merrill","full_name":"Merrill, Richard M.","first_name":"Richard M."},{"first_name":"Pasi","full_name":"Rastas, Pasi","last_name":"Rastas"},{"first_name":"Simon H.","full_name":"Martin, Simon H.","last_name":"Martin"},{"last_name":"Melo Hurtado","id":"386D7308-F248-11E8-B48F-1D18A9856A87","full_name":"Melo Hurtado, Maria C","first_name":"Maria C"},{"last_name":"Barker","full_name":"Barker, Sarah","first_name":"Sarah"},{"last_name":"Davey","first_name":"John","full_name":"Davey, John"},{"first_name":"W. Owen","full_name":"Mcmillan, W. Owen","last_name":"Mcmillan"},{"last_name":"Jiggins","first_name":"Chris D.","full_name":"Jiggins, Chris D."}],"date_created":"2021-08-06T11:34:56Z","date_updated":"2023-08-24T14:46:23Z","type":"research_data_reference","status":"public","day":"07","related_material":{"record":[{"relation":"used_in_publication","id":"6022","status":"public"}]},"oa_version":"Published Version"},{"date_published":"2019-07-16T00:00:00Z","author":[{"id":"42377A0A-F248-11E8-B48F-1D18A9856A87","first_name":"Himani","full_name":"Sachdeva, Himani","last_name":"Sachdeva"}],"publisher":"Dryad","date_created":"2021-08-06T11:45:11Z","date_updated":"2023-08-29T06:43:57Z","status":"public","type":"research_data_reference","day":"16","related_material":{"record":[{"id":"6680","status":"public","relation":"used_in_publication"}]},"oa_version":"Published Version","abstract":[{"text":"This paper analyzes how partial selfing in a large source population influences its ability to colonize a new habitat via the introduction of a few founder individuals. Founders experience inbreeding depression due to partially recessive deleterious alleles as well as maladaptation to the new environment due to selection on a large number of additive loci. I first introduce a simplified version of the Inbreeding History Model (Kelly, 2007) in order to characterize mutation-selection balance in a large, partially selfing source population under selection involving multiple non-identical loci. I then use individual-based simulations to study the eco-evolutionary dynamics of founders establishing in the new habitat under a model of hard selection. The study explores how selfing rate shapes establishment probabilities of founders via effects on both inbreeding depression and adaptability to the new environment, and also distinguishes the effects of selfing on the initial fitness of founders from its effects on the long-term adaptive response of the populations they found. A high rate of (but not complete) selfing is found to aid establishment over a wide range of parameters, even in the absence of mate limitation. The sensitivity of the results to assumptions about the nature of polygenic selection are discussed.","lang":"eng"}],"department":[{"_id":"NiBa"}],"month":"07","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5061/dryad.8tp0900"}],"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","citation":{"ista":"Sachdeva H. 2019. Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat, Dryad, <a href=\"https://doi.org/10.5061/dryad.8tp0900\">10.5061/dryad.8tp0900</a>.","short":"H. Sachdeva, (2019).","mla":"Sachdeva, Himani. <i>Data from: Effect of Partial Selfing and Polygenic Selection on Establishment in a New Habitat</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.8tp0900\">10.5061/dryad.8tp0900</a>.","apa":"Sachdeva, H. (2019). Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat. Dryad. <a href=\"https://doi.org/10.5061/dryad.8tp0900\">https://doi.org/10.5061/dryad.8tp0900</a>","ama":"Sachdeva H. Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.8tp0900\">10.5061/dryad.8tp0900</a>","ieee":"H. Sachdeva, “Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat.” Dryad, 2019.","chicago":"Sachdeva, Himani. “Data from: Effect of Partial Selfing and Polygenic Selection on Establishment in a New Habitat.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.8tp0900\">https://doi.org/10.5061/dryad.8tp0900</a>."},"oa":1,"year":"2019","doi":"10.5061/dryad.8tp0900","_id":"9802","article_processing_charge":"No","title":"Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat"},{"_id":"9803","article_processing_charge":"No","title":"Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics","year":"2019","doi":"10.5061/dryad.n1701c9","oa":1,"citation":{"apa":"Puixeu Sala, G., Pickup, M., Field, D., &#38; Barrett, S. C. H. (2019). Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics. Dryad. <a href=\"https://doi.org/10.5061/dryad.n1701c9\">https://doi.org/10.5061/dryad.n1701c9</a>","mla":"Puixeu Sala, Gemma, et al. <i>Data from: Variation in Sexual Dimorphism in a Wind-Pollinated Plant: The Influence of Geographical Context and Life-Cycle Dynamics</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.n1701c9\">10.5061/dryad.n1701c9</a>.","short":"G. Puixeu Sala, M. Pickup, D. Field, S.C.H. Barrett, (2019).","ista":"Puixeu Sala G, Pickup M, Field D, Barrett SCH. 2019. Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics, Dryad, <a href=\"https://doi.org/10.5061/dryad.n1701c9\">10.5061/dryad.n1701c9</a>.","chicago":"Puixeu Sala, Gemma, Melinda Pickup, David Field, and Spencer C.H. Barrett. “Data from: Variation in Sexual Dimorphism in a Wind-Pollinated Plant: The Influence of Geographical Context and Life-Cycle Dynamics.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.n1701c9\">https://doi.org/10.5061/dryad.n1701c9</a>.","ieee":"G. Puixeu Sala, M. Pickup, D. Field, and S. C. H. Barrett, “Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics.” Dryad, 2019.","ama":"Puixeu Sala G, Pickup M, Field D, Barrett SCH. Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.n1701c9\">10.5061/dryad.n1701c9</a>"},"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","month":"07","main_file_link":[{"url":"https://doi.org/10.5061/dryad.n1701c9","open_access":"1"}],"department":[{"_id":"NiBa"},{"_id":"BeVi"}],"abstract":[{"lang":"eng","text":"Understanding the mechanisms causing phenotypic differences between females and males has long fascinated evolutionary biologists. An extensive literature exists on animal sexual dimorphism but less is known about sex differences in plants, particularly the extent of geographical variation in sexual dimorphism and its life-cycle dynamics. Here, we investigate patterns of genetically-based sexual dimorphism in vegetative and reproductive traits of a wind-pollinated dioecious plant, Rumex hastatulus, across three life-cycle stages using open-pollinated families from 30 populations spanning the geographic range and chromosomal variation (XY and XY1Y2) of the species. The direction and degree of sexual dimorphism was highly variable among populations and life-cycle stages. Sex-specific differences in reproductive function explained a significant amount of temporal change in sexual dimorphism. For several traits, geographical variation in sexual dimorphism was associated with bioclimatic parameters, likely due to the differential responses of the sexes to climate. We found no systematic differences in sexual dimorphism between chromosome races. Sex-specific trait differences in dioecious plants largely result from a balance between sexual and natural selection on resource allocation. Our results indicate that abiotic factors associated with geographical context also play a role in modifying sexual dimorphism during the plant life cycle."}],"oa_version":"Published Version","day":"22","related_material":{"record":[{"status":"public","id":"14058","relation":"used_in_publication"},{"relation":"used_in_publication","status":"public","id":"6831"}]},"type":"research_data_reference","status":"public","date_created":"2021-08-06T11:48:42Z","date_updated":"2023-08-29T07:17:07Z","author":[{"last_name":"Puixeu Sala","orcid":"0000-0001-8330-1754","first_name":"Gemma","id":"33AB266C-F248-11E8-B48F-1D18A9856A87","full_name":"Puixeu Sala, Gemma"},{"orcid":"0000-0001-6118-0541","last_name":"Pickup","id":"2C78037E-F248-11E8-B48F-1D18A9856A87","first_name":"Melinda","full_name":"Pickup, Melinda"},{"full_name":"Field, David","first_name":"David","last_name":"Field"},{"last_name":"Barrett","full_name":"Barrett, Spencer C.H.","first_name":"Spencer C.H."}],"publisher":"Dryad","date_published":"2019-07-22T00:00:00Z"},{"date_updated":"2023-08-29T06:41:51Z","date_created":"2021-08-06T11:52:54Z","date_published":"2019-06-06T00:00:00Z","publisher":"Dryad","author":[{"last_name":"Castro","first_name":"João Pl","full_name":"Castro, João Pl"},{"first_name":"Michelle N.","full_name":"Yancoskie, Michelle N.","last_name":"Yancoskie"},{"last_name":"Marchini","full_name":"Marchini, Marta","first_name":"Marta"},{"last_name":"Belohlavy","orcid":"0000-0002-9849-498X","full_name":"Belohlavy, Stefanie","first_name":"Stefanie","id":"43FE426A-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Hiramatsu","first_name":"Layla","full_name":"Hiramatsu, Layla"},{"full_name":"Kučka, Marek","first_name":"Marek","last_name":"Kučka"},{"first_name":"William H.","full_name":"Beluch, William H.","last_name":"Beluch"},{"first_name":"Ronald","full_name":"Naumann, Ronald","last_name":"Naumann"},{"last_name":"Skuplik","full_name":"Skuplik, Isabella","first_name":"Isabella"},{"first_name":"John","full_name":"Cobb, John","last_name":"Cobb"},{"full_name":"Barton, Nicholas H","first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8548-5240","last_name":"Barton"},{"full_name":"Rolian, Campbell","first_name":"Campbell","last_name":"Rolian"},{"last_name":"Chan","first_name":"Yingguang Frank","full_name":"Chan, Yingguang Frank"}],"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Evolutionary studies are often limited by missing data that are critical to understanding the history of selection. Selection experiments, which reproduce rapid evolution under controlled conditions, are excellent tools to study how genomes evolve under selection. Here we present a genomic dissection of the Longshanks selection experiment, in which mice were selectively bred over 20 generations for longer tibiae relative to body mass, resulting in 13% longer tibiae in two replicates. We synthesized evolutionary theory, genome sequences and molecular genetics to understand the selection response and found that it involved both polygenic adaptation and discrete loci of major effect, with the strongest loci tending to be selected in parallel between replicates. We show that selection may favor de-repression of bone growth through inactivating two limb enhancers of an inhibitor, Nkx3-2. Our integrative genomic analyses thus show that it is possible to connect individual base-pair changes to the overall selection response."}],"type":"research_data_reference","status":"public","related_material":{"record":[{"relation":"used_in_publication","id":"6713","status":"public"}]},"day":"06","main_file_link":[{"url":"https://doi.org/10.5061/dryad.0q2h6tk","open_access":"1"}],"month":"06","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","department":[{"_id":"NiBa"}],"doi":"10.5061/dryad.0q2h6tk","year":"2019","article_processing_charge":"No","_id":"9804","title":"Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice","citation":{"ama":"Castro JP, Yancoskie MN, Marchini M, et al. Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">10.5061/dryad.0q2h6tk</a>","ieee":"J. P. Castro <i>et al.</i>, “Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice.” Dryad, 2019.","chicago":"Castro, João Pl, Michelle N. Yancoskie, Marta Marchini, Stefanie Belohlavy, Layla Hiramatsu, Marek Kučka, William H. Beluch, et al. “Data from: An Integrative Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">https://doi.org/10.5061/dryad.0q2h6tk</a>.","short":"J.P. Castro, M.N. Yancoskie, M. Marchini, S. Belohlavy, L. Hiramatsu, M. Kučka, W.H. Beluch, R. Naumann, I. Skuplik, J. Cobb, N.H. Barton, C. Rolian, Y.F. Chan, (2019).","ista":"Castro JP, Yancoskie MN, Marchini M, Belohlavy S, Hiramatsu L, Kučka M, Beluch WH, Naumann R, Skuplik I, Cobb J, Barton NH, Rolian C, Chan YF. 2019. Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice, Dryad, <a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">10.5061/dryad.0q2h6tk</a>.","mla":"Castro, João Pl, et al. <i>Data from: An Integrative Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">10.5061/dryad.0q2h6tk</a>.","apa":"Castro, J. P., Yancoskie, M. N., Marchini, M., Belohlavy, S., Hiramatsu, L., Kučka, M., … Chan, Y. F. (2019). Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. Dryad. <a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">https://doi.org/10.5061/dryad.0q2h6tk</a>"},"oa":1},{"date_updated":"2023-09-19T10:06:07Z","date_created":"2021-08-06T12:03:50Z","date_published":"2019-01-09T00:00:00Z","author":[{"orcid":"0000-0002-8548-5240","last_name":"Barton","first_name":"Nicholas H","full_name":"Barton, Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"}],"publisher":"Dryad","oa_version":"Published Version","abstract":[{"text":"The spread of adaptive alleles is fundamental to evolution, and in theory, this process is well‐understood. However, only rarely can we follow this process—whether it originates from the spread of a new mutation, or by introgression from another population. In this issue of Molecular Ecology, Hanemaaijer et al. (2018) report on a 25‐year long study of the mosquitoes Anopheles gambiae (Figure 1) and Anopheles coluzzi in Mali, based on genotypes at 15 single‐nucleotide polymorphism (SNP). The species are usually reproductively isolated from each other, but in 2002 and 2006, bursts of hybridization were observed, when F1 hybrids became abundant. Alleles backcrossed from A. gambiae into A. coluzzi, but after the first event, these declined over the following years. In contrast, after 2006, an insecticide resistance allele that had established in A. gambiae spread into A. coluzzi, and rose to high frequency there, over 6 years (~75 generations). Whole genome sequences of 74 individuals showed that A. gambiae SNP from across the genome had become common in the A. coluzzi population, but that most of these were clustered in 34 genes around the resistance locus. A new set of SNP from 25 of these genes were assayed over time; over the 4 years since near‐fixation of the resistance allele; some remained common, whereas others declined. What do these patterns tell us about this introgression event?","lang":"eng"}],"type":"research_data_reference","status":"public","related_material":{"record":[{"relation":"used_in_publication","id":"40","status":"public"}]},"day":"09","main_file_link":[{"url":"https://doi.org/10.5061/dryad.2kb6fh4","open_access":"1"}],"month":"01","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","department":[{"_id":"NiBa"}],"doi":"10.5061/dryad.2kb6fh4","year":"2019","title":"Data from: The consequences of an introgression event","_id":"9805","article_processing_charge":"No","citation":{"chicago":"Barton, Nicholas H. “Data from: The Consequences of an Introgression Event.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">https://doi.org/10.5061/dryad.2kb6fh4</a>.","ieee":"N. H. Barton, “Data from: The consequences of an introgression event.” Dryad, 2019.","ama":"Barton NH. Data from: The consequences of an introgression event. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">10.5061/dryad.2kb6fh4</a>","short":"N.H. Barton, (2019).","ista":"Barton NH. 2019. Data from: The consequences of an introgression event, Dryad, <a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">10.5061/dryad.2kb6fh4</a>.","mla":"Barton, Nicholas H. <i>Data from: The Consequences of an Introgression Event</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">10.5061/dryad.2kb6fh4</a>.","apa":"Barton, N. H. (2019). Data from: The consequences of an introgression event. Dryad. <a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">https://doi.org/10.5061/dryad.2kb6fh4</a>"},"oa":1},{"citation":{"ieee":"J. Polechova, “Data from: Is the sky the limit? On the expansion threshold of a species’ range.” Dryad, 2019.","ama":"Polechova J. Data from: Is the sky the limit? On the expansion threshold of a species’ range. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.5vv37\">10.5061/dryad.5vv37</a>","chicago":"Polechova, Jitka. “Data from: Is the Sky the Limit? On the Expansion Threshold of a Species’ Range.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.5vv37\">https://doi.org/10.5061/dryad.5vv37</a>.","short":"J. Polechova, (2019).","ista":"Polechova J. 2019. Data from: Is the sky the limit? On the expansion threshold of a species’ range, Dryad, <a href=\"https://doi.org/10.5061/dryad.5vv37\">10.5061/dryad.5vv37</a>.","apa":"Polechova, J. (2019). Data from: Is the sky the limit? On the expansion threshold of a species’ range. Dryad. <a href=\"https://doi.org/10.5061/dryad.5vv37\">https://doi.org/10.5061/dryad.5vv37</a>","mla":"Polechova, Jitka. <i>Data from: Is the Sky the Limit? On the Expansion Threshold of a Species’ Range</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.5vv37\">10.5061/dryad.5vv37</a>."},"oa":1,"doi":"10.5061/dryad.5vv37","year":"2019","_id":"9839","title":"Data from: Is the sky the limit? On the expansion threshold of a species' range","article_processing_charge":"No","department":[{"_id":"NiBa"}],"main_file_link":[{"url":"https://doi.org/10.5061/dryad.5vv37","open_access":"1"}],"month":"06","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","type":"research_data_reference","status":"public","related_material":{"record":[{"status":"public","id":"315","relation":"used_in_publication"}]},"day":"22","oa_version":"Published Version","abstract":[{"text":"More than 100 years after Grigg’s influential analysis of species’ borders, the causes of limits to species’ ranges still represent a puzzle that has never been understood with clarity. The topic has become especially important recently as many scientists have become interested in the potential for species’ ranges to shift in response to climate change—and yet nearly all of those studies fail to recognise or incorporate evolutionary genetics in a way that relates to theoretical developments. I show that range margins can be understood based on just two measurable parameters: (i) the fitness cost of dispersal—a measure of environmental heterogeneity—and (ii) the strength of genetic drift, which reduces genetic diversity. Together, these two parameters define an ‘expansion threshold’: adaptation fails when genetic drift reduces genetic diversity below that required for adaptation to a heterogeneous environment. When the key parameters drop below this expansion threshold locally, a sharp range margin forms. When they drop below this threshold throughout the species’ range, adaptation collapses everywhere, resulting in either extinction or formation of a fragmented metapopulation. Because the effects of dispersal differ fundamentally with dimension, the second parameter—the strength of genetic drift—is qualitatively different compared to a linear habitat. In two-dimensional habitats, genetic drift becomes effectively independent of selection. It decreases with ‘neighbourhood size’—the number of individuals accessible by dispersal within one generation. Moreover, in contrast to earlier predictions, which neglected evolution of genetic variance and/or stochasticity in two dimensions, dispersal into small marginal populations aids adaptation. This is because the reduction of both genetic and demographic stochasticity has a stronger effect than the cost of dispersal through increased maladaptation. The expansion threshold thus provides a novel, theoretically justified, and testable prediction for formation of the range margin and collapse of the species’ range.","lang":"eng"}],"date_published":"2019-06-22T00:00:00Z","author":[{"full_name":"Polechova, Jitka","id":"3BBFB084-F248-11E8-B48F-1D18A9856A87","first_name":"Jitka","orcid":"0000-0003-0951-3112","last_name":"Polechova"}],"publisher":"Dryad","date_updated":"2023-02-23T11:14:30Z","date_created":"2021-08-09T13:07:28Z"},{"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."}],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"ddc":["576"],"has_accepted_license":"1","file_date_updated":"2020-07-14T12:47:54Z","day":"01","type":"journal_article","status":"public","date_created":"2018-12-11T11:48:09Z","publisher":"Springer","quality_controlled":"1","external_id":{"isi":["000428239300010"]},"project":[{"call_identifier":"FP7","grant_number":"618091","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425","name":"Speed of Adaptation in Population Genetics and Evolutionary Computation"}],"volume":80,"year":"2018","language":[{"iso":"eng"}],"isi":1,"month":"05","department":[{"_id":"NiBa"},{"_id":"CaGu"}],"page":"1604 - 1633","publist_id":"6957","pubrep_id":"1014","oa_version":"Published Version","scopus_import":"1","intvolume":"        80","ec_funded":1,"date_updated":"2023-09-11T14:11:35Z","issue":"5","author":[{"last_name":"Oliveto","full_name":"Oliveto, Pietro","first_name":"Pietro"},{"id":"2C5658E6-F248-11E8-B48F-1D18A9856A87","full_name":"Paixao, Tiago","first_name":"Tiago","orcid":"0000-0003-2361-3953","last_name":"Paixao"},{"first_name":"Jorge","full_name":"Pérez Heredia, Jorge","last_name":"Pérez Heredia"},{"full_name":"Sudholt, Dirk","first_name":"Dirk","last_name":"Sudholt"},{"full_name":"Trubenova, Barbora","id":"42302D54-F248-11E8-B48F-1D18A9856A87","first_name":"Barbora","last_name":"Trubenova","orcid":"0000-0002-6873-2967"}],"date_published":"2018-05-01T00:00:00Z","publication":"Algorithmica","_id":"723","article_processing_charge":"No","title":"How to escape local optima in black box optimisation when non elitism outperforms elitism","publication_status":"published","file":[{"creator":"system","file_size":691245,"checksum":"7d92f5d7be81e387edeec4f06442791c","date_updated":"2020-07-14T12:47:54Z","relation":"main_file","date_created":"2018-12-12T10:08:14Z","access_level":"open_access","file_id":"4674","content_type":"application/pdf","file_name":"IST-2018-1014-v1+1_2018_Paixao_Escape.pdf"}],"doi":"10.1007/s00453-017-0369-2","oa":1,"citation":{"mla":"Oliveto, Pietro, et al. “How to Escape Local Optima in Black Box Optimisation When Non Elitism Outperforms Elitism.” <i>Algorithmica</i>, vol. 80, no. 5, Springer, 2018, pp. 1604–33, doi:<a href=\"https://doi.org/10.1007/s00453-017-0369-2\">10.1007/s00453-017-0369-2</a>.","apa":"Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., &#38; Trubenova, B. (2018). How to escape local optima in black box optimisation when non elitism outperforms elitism. <i>Algorithmica</i>. Springer. <a href=\"https://doi.org/10.1007/s00453-017-0369-2\">https://doi.org/10.1007/s00453-017-0369-2</a>","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.","short":"P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica 80 (2018) 1604–1633.","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,” <i>Algorithmica</i>, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.","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. <i>Algorithmica</i>. 2018;80(5):1604-1633. doi:<a href=\"https://doi.org/10.1007/s00453-017-0369-2\">10.1007/s00453-017-0369-2</a>","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.” <i>Algorithmica</i>. Springer, 2018. <a href=\"https://doi.org/10.1007/s00453-017-0369-2\">https://doi.org/10.1007/s00453-017-0369-2</a>."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1"},{"publication_identifier":{"issn":["2663-337X"]},"year":"2018","language":[{"iso":"eng"}],"page":"146","department":[{"_id":"NiBa"}],"month":"02","file_date_updated":"2020-07-14T12:45:23Z","day":"21","related_material":{"record":[{"id":"563","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"1074"}]},"status":"public","type":"dissertation","abstract":[{"text":"This thesis is concerned with the inference of current population structure based on geo-referenced genetic data. The underlying idea is that population structure affects its spatial genetic structure. Therefore, genotype information can be utilized to estimate important demographic parameters such as migration rates. These indirect estimates of population structure have become very attractive, as genotype data is now widely available. However, there also has been much concern about these approaches. Importantly, genetic structure can be influenced by many complex patterns, which often cannot be disentangled. Moreover, many methods merely fit heuristic patterns of genetic structure, and do not build upon population genetics theory. Here, I describe two novel inference methods that address these shortcomings. In Chapter 2, I introduce an inference scheme based on a new type of signal, identity by descent (IBD) blocks. Recently, it has become feasible to detect such long blocks of genome shared between pairs of samples. These blocks are direct traces of recent coalescence events. As such, they contain ample signal for inferring recent demography. I examine sharing of IBD blocks in two-dimensional populations with local migration. Using a diffusion approximation, I derive formulas for an isolation by distance pattern of long IBD blocks and show that sharing of long IBD blocks approaches rapid exponential decay for growing sample distance. I describe an inference scheme based on these results. It can robustly estimate the dispersal rate and population density, which is demonstrated on simulated data. I also show an application to estimate mean migration and the rate of recent population growth within Eastern Europe. Chapter 3 is about a novel method to estimate barriers to gene flow in a two dimensional population. This inference scheme utilizes geographically localized allele frequency fluctuations - a classical isolation by distance signal. The strength of these local fluctuations increases on average next to a barrier, and there is less correlation across it. I again use a framework of diffusion of ancestral lineages to model this effect, and provide an efficient numerical implementation to fit the results to geo-referenced biallelic SNP data. This inference scheme is able to robustly estimate strong barriers to gene flow, as tests on simulated data confirm.","lang":"eng"}],"tmp":{"name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","short":"CC BY-NC (4.0)","image":"/images/cc_by_nc.png"},"ddc":["576"],"has_accepted_license":"1","publisher":"Institute of Science and Technology Austria","degree_awarded":"PhD","date_created":"2018-12-11T11:45:10Z","supervisor":[{"last_name":"Barton","orcid":"0000-0002-8548-5240","first_name":"Nicholas H","full_name":"Barton, Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"}],"oa":1,"citation":{"chicago":"Ringbauer, Harald. “Inferring Recent Demography from Spatial Genetic Structure.” Institute of Science and Technology Austria, 2018. <a href=\"https://doi.org/10.15479/AT:ISTA:th_963\">https://doi.org/10.15479/AT:ISTA:th_963</a>.","ama":"Ringbauer H. Inferring recent demography from spatial genetic structure. 2018. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:th_963\">10.15479/AT:ISTA:th_963</a>","ieee":"H. Ringbauer, “Inferring recent demography from spatial genetic structure,” Institute of Science and Technology Austria, 2018.","short":"H. Ringbauer, Inferring Recent Demography from Spatial Genetic Structure, Institute of Science and Technology Austria, 2018.","ista":"Ringbauer H. 2018. Inferring recent demography from spatial genetic structure. Institute of Science and Technology Austria.","apa":"Ringbauer, H. (2018). <i>Inferring recent demography from spatial genetic structure</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:th_963\">https://doi.org/10.15479/AT:ISTA:th_963</a>","mla":"Ringbauer, Harald. <i>Inferring Recent Demography from Spatial Genetic Structure</i>. Institute of Science and Technology Austria, 2018, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:th_963\">10.15479/AT:ISTA:th_963</a>."},"article_processing_charge":"No","_id":"200","title":"Inferring recent demography from spatial genetic structure","file":[{"content_type":"application/pdf","file_id":"5111","file_name":"IST-2018-963-v1+1_thesis.pdf","access_level":"open_access","date_updated":"2020-07-14T12:45:23Z","date_created":"2018-12-12T10:14:55Z","relation":"main_file","creator":"system","file_size":5792935,"checksum":"8cc534d2b528ae017acf80874cce48c9"},{"access_level":"closed","file_id":"6224","content_type":"application/zip","file_name":"2018_thesis_ringbauer_source.zip","checksum":"6af18d7e5a7e2728ceda2f41ee24f628","creator":"dernst","file_size":113365,"date_updated":"2020-07-14T12:45:23Z","relation":"source_file","date_created":"2019-04-05T09:30:12Z"}],"publication_status":"published","doi":"10.15479/AT:ISTA:th_963","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","alternative_title":["ISTA Thesis"],"publist_id":"7713","pubrep_id":"963","oa_version":"Published Version","author":[{"id":"417FCFF4-F248-11E8-B48F-1D18A9856A87","first_name":"Harald","full_name":"Ringbauer, Harald","last_name":"Ringbauer","orcid":"0000-0002-4884-9682"}],"date_published":"2018-02-21T00:00:00Z","date_updated":"2025-05-28T11:57:06Z"},{"date_published":"2018-07-30T00:00:00Z","author":[{"last_name":"Fraisse","orcid":"0000-0001-8441-5075","first_name":"Christelle","id":"32DF5794-F248-11E8-B48F-1D18A9856A87","full_name":"Fraisse, Christelle"},{"first_name":"Camille","full_name":"Roux, Camille","last_name":"Roux"},{"last_name":"Gagnaire","first_name":"Pierre","full_name":"Gagnaire, Pierre"},{"last_name":"Romiguier","full_name":"Romiguier, Jonathan","first_name":"Jonathan"},{"first_name":"Nicolas","full_name":"Faivre, Nicolas","last_name":"Faivre"},{"first_name":"John","full_name":"Welch, John","last_name":"Welch"},{"last_name":"Bierne","full_name":"Bierne, Nicolas","first_name":"Nicolas"}],"issue":"7","date_updated":"2023-10-17T12:25:28Z","intvolume":"      2018","scopus_import":"1","oa_version":"Published Version","publist_id":"7784","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_number":"30083438","citation":{"ista":"Fraisse C, Roux C, Gagnaire P, Romiguier J, Faivre N, Welch J, Bierne N. 2018. The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. PeerJ. 2018(7), 30083438.","short":"C. Fraisse, C. Roux, P. Gagnaire, J. Romiguier, N. Faivre, J. Welch, N. Bierne, PeerJ 2018 (2018).","mla":"Fraisse, Christelle, et al. “The Divergence History of European Blue Mussel Species Reconstructed from Approximate Bayesian Computation: The Effects of Sequencing Techniques and Sampling Strategies.” <i>PeerJ</i>, vol. 2018, no. 7, 30083438, PeerJ, 2018, doi:<a href=\"https://doi.org/10.7717/peerj.5198\">10.7717/peerj.5198</a>.","apa":"Fraisse, C., Roux, C., Gagnaire, P., Romiguier, J., Faivre, N., Welch, J., &#38; Bierne, N. (2018). The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. <i>PeerJ</i>. PeerJ. <a href=\"https://doi.org/10.7717/peerj.5198\">https://doi.org/10.7717/peerj.5198</a>","chicago":"Fraisse, Christelle, Camille Roux, Pierre Gagnaire, Jonathan Romiguier, Nicolas Faivre, John Welch, and Nicolas Bierne. “The Divergence History of European Blue Mussel Species Reconstructed from Approximate Bayesian Computation: The Effects of Sequencing Techniques and Sampling Strategies.” <i>PeerJ</i>. PeerJ, 2018. <a href=\"https://doi.org/10.7717/peerj.5198\">https://doi.org/10.7717/peerj.5198</a>.","ieee":"C. Fraisse <i>et al.</i>, “The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies,” <i>PeerJ</i>, vol. 2018, no. 7. PeerJ, 2018.","ama":"Fraisse C, Roux C, Gagnaire P, et al. The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies. <i>PeerJ</i>. 2018;2018(7). doi:<a href=\"https://doi.org/10.7717/peerj.5198\">10.7717/peerj.5198</a>"},"oa":1,"doi":"10.7717/peerj.5198","publication_status":"published","file":[{"access_level":"open_access","file_name":"2018_PeerJ_Fraisse.pdf","content_type":"application/pdf","file_id":"5739","file_size":1480792,"creator":"dernst","checksum":"7d55ae22598a1c70759cd671600cff53","relation":"main_file","date_created":"2018-12-18T09:42:11Z","date_updated":"2020-07-14T12:44:48Z"}],"_id":"139","title":"The divergence history of European blue mussel species reconstructed from Approximate Bayesian Computation: The effects of sequencing techniques and sampling strategies","publication":"PeerJ","article_processing_charge":"No","external_id":{"isi":["000440484800002"]},"publisher":"PeerJ","quality_controlled":"1","date_created":"2018-12-11T11:44:50Z","type":"journal_article","status":"public","day":"30","file_date_updated":"2020-07-14T12:44:48Z","has_accepted_license":"1","ddc":["576"],"tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"abstract":[{"lang":"eng","text":"Genome-scale diversity data are increasingly available in a variety of biological systems, and can be used to reconstruct the past evolutionary history of species divergence. However, extracting the full demographic information from these data is not trivial, and requires inferential methods that account for the diversity of coalescent histories throughout the genome. Here, we evaluate the potential and limitations of one such approach. We reexamine a well-known system of mussel sister species, using the joint site frequency spectrum (jSFS) of synonymousmutations computed either fromexome capture or RNA-seq, in an Approximate Bayesian Computation (ABC) framework. We first assess the best sampling strategy (number of: individuals, loci, and bins in the jSFS), and show that model selection is robust to variation in the number of individuals and loci. In contrast, different binning choices when summarizing the jSFS, strongly affect the results: including classes of low and high frequency shared polymorphisms can more effectively reveal recent migration events. We then take advantage of the flexibility of ABC to compare more realistic models of speciation, including variation in migration rates through time (i.e., periodic connectivity) and across genes (i.e., genome-wide heterogeneity in migration rates). We show that these models were consistently selected as the most probable, suggesting that mussels have experienced a complex history of gene flow during divergence and that the species boundary is semi-permeable. Our work provides a comprehensive evaluation of ABC demographic inference in mussels based on the coding jSFS, and supplies guidelines for employing different sequencing techniques and sampling strategies. We emphasize, perhaps surprisingly, that inferences are less limited by the volume of data, than by the way in which they are analyzed."}],"department":[{"_id":"BeVi"},{"_id":"NiBa"}],"month":"07","isi":1,"language":[{"iso":"eng"}],"year":"2018","volume":2018},{"year":"2018","file":[{"date_updated":"2020-07-14T12:47:07Z","date_created":"2018-12-12T13:02:41Z","relation":"main_file","checksum":"fc6aab51439f2622ba6df8632e66fd4f","creator":"system","file_size":122048,"file_id":"5606","content_type":"text/csv","file_name":"IST-2018-95-v1+1_amajus_GPS_2012.csv","access_level":"open_access"},{"date_updated":"2020-07-14T12:47:07Z","relation":"main_file","date_created":"2018-12-12T13:02:42Z","checksum":"92347586ae4f8a6eb7c04354797bf314","creator":"system","file_size":235980,"content_type":"text/csv","file_id":"5607","file_name":"IST-2018-95-v1+2_offspring_SNPs_2012.csv","access_level":"open_access"},{"access_level":"open_access","content_type":"text/csv","file_id":"5608","file_name":"IST-2018-95-v1+3_parents_SNPs_2012.csv","creator":"system","file_size":311712,"checksum":"3300813645a54e6c5c39f41917228354","date_updated":"2020-07-14T12:47:07Z","relation":"main_file","date_created":"2018-12-12T13:02:43Z"},{"access_level":"open_access","file_id":"5609","content_type":"application/zip","file_name":"IST-2018-95-v1+4_faps_scripts.zip","checksum":"e739fc473567fd8f39438b445fc46147","creator":"system","file_size":342090,"date_updated":"2020-07-14T12:47:07Z","date_created":"2018-12-12T13:02:44Z","relation":"main_file"}],"doi":"10.15479/AT:ISTA:95","title":"Data and Python scripts supporting Python package FAPS","_id":"5583","article_processing_charge":"No","citation":{"ista":"Ellis T. 2018. Data and Python scripts supporting Python package FAPS, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:95\">10.15479/AT:ISTA:95</a>.","short":"T. Ellis, (2018).","mla":"Ellis, Thomas. <i>Data and Python Scripts Supporting Python Package FAPS</i>. Institute of Science and Technology Austria, 2018, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:95\">10.15479/AT:ISTA:95</a>.","apa":"Ellis, T. (2018). Data and Python scripts supporting Python package FAPS. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:95\">https://doi.org/10.15479/AT:ISTA:95</a>","ama":"Ellis T. Data and Python scripts supporting Python package FAPS. 2018. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:95\">10.15479/AT:ISTA:95</a>","ieee":"T. Ellis, “Data and Python scripts supporting Python package FAPS.” Institute of Science and Technology Austria, 2018.","chicago":"Ellis, Thomas. “Data and Python Scripts Supporting Python Package FAPS.” Institute of Science and Technology Austria, 2018. <a href=\"https://doi.org/10.15479/AT:ISTA:95\">https://doi.org/10.15479/AT:ISTA:95</a>."},"oa":1,"month":"02","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"NiBa"}],"has_accepted_license":"1","oa_version":"Published Version","abstract":[{"text":"Data and scripts are provided in support of the manuscript \"Efficient inference of paternity and sibship inference given known maternity via hierarchical clustering\", and the associated Python package FAPS, available from www.github.com/ellisztamas/faps.\r\n\r\nSimulation scripts cover:\r\n1. Performance under different mating scenarios.\r\n2. Comparison with Colony2.\r\n3. Effect of changing the number of Monte Carlo draws\r\n\r\nThe final script covers the analysis of half-sib arrays from wild-pollinated seed in an Antirrhinum majus hybrid zone.","lang":"eng"}],"datarep_id":"95","tmp":{"name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","image":"/images/cc_0.png"},"status":"public","type":"research_data","file_date_updated":"2020-07-14T12:47:07Z","contributor":[{"last_name":"Field","id":"419049E2-F248-11E8-B48F-1D18A9856A87","first_name":"David"},{"last_name":"Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H"}],"day":"12","related_material":{"record":[{"relation":"research_paper","id":"286","status":"public"}]},"date_created":"2018-12-12T12:31:39Z","date_updated":"2025-05-28T11:56:58Z","date_published":"2018-02-12T00:00:00Z","publisher":"Institute of Science and Technology Austria","author":[{"full_name":"Ellis, Thomas","id":"3153D6D4-F248-11E8-B48F-1D18A9856A87","first_name":"Thomas","orcid":"0000-0002-8511-0254","last_name":"Ellis"}]},{"date_updated":"2023-09-11T13:42:38Z","intvolume":"       208","issue":"3","author":[{"id":"417FCFF4-F248-11E8-B48F-1D18A9856A87","full_name":"Ringbauer, Harald","first_name":"Harald","orcid":"0000-0002-4884-9682","last_name":"Ringbauer"},{"id":"2D157DB6-F248-11E8-B48F-1D18A9856A87","first_name":"Alexander","full_name":"Kolesnikov, Alexander","last_name":"Kolesnikov"},{"first_name":"David","full_name":"Field, David","last_name":"Field"},{"orcid":"0000-0002-8548-5240","last_name":"Barton","full_name":"Barton, Nicholas H","first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"}],"date_published":"2018-03-01T00:00:00Z","oa_version":"Preprint","publist_id":"7251","scopus_import":"1","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"563","article_processing_charge":"No","title":"Estimating barriers to gene flow from distorted isolation-by-distance patterns","publication":"Genetics","doi":"10.1534/genetics.117.300638","publication_status":"published","oa":1,"citation":{"mla":"Ringbauer, Harald, et al. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” <i>Genetics</i>, vol. 208, no. 3, Genetics Society of America, 2018, pp. 1231–45, doi:<a href=\"https://doi.org/10.1534/genetics.117.300638\">10.1534/genetics.117.300638</a>.","apa":"Ringbauer, H., Kolesnikov, A., Field, D., &#38; Barton, N. H. (2018). Estimating barriers to gene flow from distorted isolation-by-distance patterns. <i>Genetics</i>. Genetics Society of America. <a href=\"https://doi.org/10.1534/genetics.117.300638\">https://doi.org/10.1534/genetics.117.300638</a>","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.","short":"H. Ringbauer, A. Kolesnikov, D. Field, N.H. Barton, Genetics 208 (2018) 1231–1245.","chicago":"Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” <i>Genetics</i>. Genetics Society of America, 2018. <a href=\"https://doi.org/10.1534/genetics.117.300638\">https://doi.org/10.1534/genetics.117.300638</a>.","ieee":"H. Ringbauer, A. Kolesnikov, D. Field, and N. H. Barton, “Estimating barriers to gene flow from distorted isolation-by-distance patterns,” <i>Genetics</i>, vol. 208, no. 3. Genetics Society of America, pp. 1231–1245, 2018.","ama":"Ringbauer H, Kolesnikov A, Field D, Barton NH. Estimating barriers to gene flow from distorted isolation-by-distance patterns. <i>Genetics</i>. 2018;208(3):1231-1245. doi:<a href=\"https://doi.org/10.1534/genetics.117.300638\">10.1534/genetics.117.300638</a>"},"date_created":"2018-12-11T11:47:12Z","external_id":{"isi":["000426219600025"]},"quality_controlled":"1","publisher":"Genetics Society of America","abstract":[{"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.","lang":"eng"}],"related_material":{"record":[{"id":"200","status":"public","relation":"dissertation_contains"}]},"day":"01","type":"journal_article","status":"public","main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/205484v1","open_access":"1"}],"month":"03","department":[{"_id":"NiBa"},{"_id":"ChLa"}],"page":"1231-1245","volume":208,"language":[{"iso":"eng"}],"year":"2018","isi":1},{"date_published":"2018-07-01T00:00:00Z","author":[{"full_name":"Barton, Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H","last_name":"Barton","orcid":"0000-0002-8548-5240"},{"first_name":"Alison","full_name":"Etheridge, Alison","last_name":"Etheridge"}],"issue":"7","intvolume":"       122","ec_funded":1,"date_updated":"2025-05-28T11:42:45Z","scopus_import":"1","publist_id":"7250","oa_version":"Submitted Version","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"apa":"Barton, N. H., &#38; Etheridge, A. (2018). Establishment in a new habitat by polygenic adaptation. <i>Theoretical Population Biology</i>. Academic Press. <a href=\"https://doi.org/10.1016/j.tpb.2017.11.007\">https://doi.org/10.1016/j.tpb.2017.11.007</a>","mla":"Barton, Nicholas H., and Alison Etheridge. “Establishment in a New Habitat by Polygenic Adaptation.” <i>Theoretical Population Biology</i>, vol. 122, no. 7, Academic Press, 2018, pp. 110–27, doi:<a href=\"https://doi.org/10.1016/j.tpb.2017.11.007\">10.1016/j.tpb.2017.11.007</a>.","ista":"Barton NH, Etheridge A. 2018. Establishment in a new habitat by polygenic adaptation. Theoretical Population Biology. 122(7), 110–127.","short":"N.H. Barton, A. Etheridge, Theoretical Population Biology 122 (2018) 110–127.","chicago":"Barton, Nicholas H, and Alison Etheridge. “Establishment in a New Habitat by Polygenic Adaptation.” <i>Theoretical Population Biology</i>. Academic Press, 2018. <a href=\"https://doi.org/10.1016/j.tpb.2017.11.007\">https://doi.org/10.1016/j.tpb.2017.11.007</a>.","ama":"Barton NH, Etheridge A. Establishment in a new habitat by polygenic adaptation. <i>Theoretical Population Biology</i>. 2018;122(7):110-127. doi:<a href=\"https://doi.org/10.1016/j.tpb.2017.11.007\">10.1016/j.tpb.2017.11.007</a>","ieee":"N. H. Barton and A. Etheridge, “Establishment in a new habitat by polygenic adaptation,” <i>Theoretical Population Biology</i>, vol. 122, no. 7. Academic Press, pp. 110–127, 2018."},"oa":1,"publication_status":"published","file":[{"checksum":"0b96f6db47e3e91b5e7d103b847c239d","creator":"nbarton","file_size":2287682,"date_updated":"2020-07-14T12:47:09Z","relation":"main_file","date_created":"2019-12-21T09:36:39Z","access_level":"open_access","file_id":"7199","content_type":"application/pdf","file_name":"bartonetheridge.pdf"}],"doi":"10.1016/j.tpb.2017.11.007","_id":"564","article_processing_charge":"No","title":"Establishment in a new habitat by polygenic adaptation","publication":"Theoretical Population Biology","quality_controlled":"1","publisher":"Academic Press","external_id":{"isi":["000440392900014"]},"date_created":"2018-12-11T11:47:12Z","status":"public","type":"journal_article","file_date_updated":"2020-07-14T12:47:09Z","day":"01","related_material":{"record":[{"id":"9842","status":"public","relation":"research_data"}]},"ddc":["519","576"],"has_accepted_license":"1","abstract":[{"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.","lang":"eng"}],"tmp":{"name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","short":"CC BY-NC (4.0)","image":"/images/cc_by_nc.png"},"page":"110-127","department":[{"_id":"NiBa"}],"month":"07","article_type":"original","isi":1,"year":"2018","language":[{"iso":"eng"}],"volume":122,"project":[{"_id":"25B07788-B435-11E9-9278-68D0E5697425","grant_number":"250152","call_identifier":"FP7","name":"Limits to selection in biology and in evolutionary computation"}]},{"pmid":1,"department":[{"_id":"NiBa"}],"page":"377 - 382","month":"01","main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753870/"}],"article_type":"original","isi":1,"volume":208,"year":"2018","language":[{"iso":"eng"}],"quality_controlled":"1","publisher":"Genetics ","external_id":{"isi":["000419356300025"],"pmid":["29158424"]},"date_created":"2018-12-11T11:47:12Z","day":"01","type":"journal_article","status":"public","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. "}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","oa":1,"citation":{"short":"B. Charlesworth, N.H. Barton, Genetics 208 (2018) 377–382.","ista":"Charlesworth B, Barton NH. 2018. The spread of an inversion with migration and selection. Genetics. 208(1), 377–382.","apa":"Charlesworth, B., &#38; Barton, N. H. (2018). The spread of an inversion with migration and selection. <i>Genetics</i>. Genetics . <a href=\"https://doi.org/10.1534/genetics.117.300426\">https://doi.org/10.1534/genetics.117.300426</a>","mla":"Charlesworth, Brian, and Nicholas H. Barton. “The Spread of an Inversion with Migration and Selection.” <i>Genetics</i>, vol. 208, no. 1, Genetics , 2018, pp. 377–82, doi:<a href=\"https://doi.org/10.1534/genetics.117.300426\">10.1534/genetics.117.300426</a>.","ieee":"B. Charlesworth and N. H. Barton, “The spread of an inversion with migration and selection,” <i>Genetics</i>, vol. 208, no. 1. Genetics , pp. 377–382, 2018.","ama":"Charlesworth B, Barton NH. The spread of an inversion with migration and selection. <i>Genetics</i>. 2018;208(1):377-382. doi:<a href=\"https://doi.org/10.1534/genetics.117.300426\">10.1534/genetics.117.300426</a>","chicago":"Charlesworth, Brian, and Nicholas H Barton. “The Spread of an Inversion with Migration and Selection.” <i>Genetics</i>. Genetics , 2018. <a href=\"https://doi.org/10.1534/genetics.117.300426\">https://doi.org/10.1534/genetics.117.300426</a>."},"publication":"Genetics","_id":"565","article_processing_charge":"No","title":"The spread of an inversion with migration and selection","publication_status":"published","doi":"10.1534/genetics.117.300426","author":[{"last_name":"Charlesworth","full_name":"Charlesworth, Brian","first_name":"Brian"},{"full_name":"Barton, Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H","orcid":"0000-0002-8548-5240","last_name":"Barton"}],"date_published":"2018-01-01T00:00:00Z","intvolume":"       208","date_updated":"2023-09-19T10:12:31Z","issue":"1","scopus_import":"1","publist_id":"7249","oa_version":"Published Version"},{"publisher":"Institute of Science and Technology Austria","author":[{"first_name":"Christelle","full_name":"Fraisse, Christelle","id":"32DF5794-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8441-5075","last_name":"Fraisse"}],"date_published":"2018-12-19T00:00:00Z","date_updated":"2024-02-21T13:59:18Z","date_created":"2018-12-19T14:22:35Z","ec_funded":1,"related_material":{"record":[{"status":"public","id":"6089","relation":"research_paper"}]},"contributor":[{"id":"32DF5794-F248-11E8-B48F-1D18A9856A87","first_name":"Christelle","last_name":"Fraisse"},{"first_name":"Gemma","id":"33AB266C-F248-11E8-B48F-1D18A9856A87","last_name":"Puixeu Sala"},{"id":"49E1C5C6-F248-11E8-B48F-1D18A9856A87","first_name":"Beatriz","last_name":"Vicoso","orcid":"0000-0002-4579-8306"}],"file_date_updated":"2020-07-14T12:47:11Z","day":"19","status":"public","type":"research_data","abstract":[{"lang":"eng","text":"File S1. Variant Calling Format file of the ingroup: 197 haploid sequences of D. melanogaster from Zambia (Africa) aligned to the D. melanogaster 5.57 reference genome.\r\n\r\nFile S2. Variant Calling Format file of the outgroup: 1 haploid sequence of D. simulans aligned to the D. melanogaster 5.57 reference genome.\r\n\r\nFile S3. Annotations of each transcript in coding regions with SNPeff: Ps (# of synonymous polymorphic sites); Pn (# of non-synonymous polymorphic sites); Ds (# of synonymous divergent sites); Dn (# of non-synonymous divergent sites); DoS; ⍺ MK . All variants were included.\r\n\r\nFile S4. Annotations of each transcript in non-coding regions with SNPeff: Ps (# of synonymous polymorphic sites); Pu (# of UTR polymorphic sites); Ds (# of synonymous divergent sites); Du (# of UTR divergent sites); DoS; ⍺ MK . All variants were included.\r\n\r\nFile S5. Annotations of each transcript in coding regions with SNPGenie: Ps (# of synonymous polymorphic sites); πs (synonymous diversity); Ss_p (total # of synonymous sites in the polymorphism data); Pn (# of non-synonymous polymorphic sites); πn (non-synonymous diversity); Sn_p (total # of non-synonymous sites in the polymorphism data); Ds (# of synonymous divergent sites); ks (synonymous evolutionary rate); Ss_d (total # of synonymous sites in the divergence data); Dn (# of non-synonymous divergent sites); kn (non-synonymous evolutionary rate); Sn_d (total # of non-\r\nsynonymous sites in the divergence data); DoS; ⍺ MK . All variants were included.\r\n\r\nFile S6. Gene expression values (RPKM summed over all transcripts) for each sample. Values were quantile-normalized across all samples.\r\n\r\nFile S7. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for coding sites, excluding variants below 5% frequency.\r\n\r\nFile S8. Final dataset with all covariates, ⍺ MK , ωA MK and DoS for non-coding sites, excluding variants below 5%\r\nfrequency.\r\n\r\nFile S9. Final dataset with all covariates, ⍺ EWK , ωA EWK and deleterious SFS for coding sites obtained with the Eyre-Walker and Keightley method on binned data and using all variants."}],"has_accepted_license":"1","oa_version":"Published Version","ddc":["576"],"department":[{"_id":"BeVi"},{"_id":"NiBa"}],"keyword":["(mal)adaptation","pleiotropy","selective constraint","evo-devo","gene expression","Drosophila melanogaster"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"12","oa":1,"citation":{"ama":"Fraisse C. Supplementary Files for “Pleiotropy modulates the efficacy of selection in Drosophila melanogaster.” 2018. doi:<a href=\"https://doi.org/10.15479/at:ista:/5757\">10.15479/at:ista:/5757</a>","ieee":"C. Fraisse, “Supplementary Files for ‘Pleiotropy modulates the efficacy of selection in Drosophila melanogaster.’” Institute of Science and Technology Austria, 2018.","chicago":"Fraisse, Christelle. “Supplementary Files for ‘Pleiotropy Modulates the Efficacy of Selection in Drosophila Melanogaster.’” Institute of Science and Technology Austria, 2018. <a href=\"https://doi.org/10.15479/at:ista:/5757\">https://doi.org/10.15479/at:ista:/5757</a>.","ista":"Fraisse C. 2018. Supplementary Files for ‘Pleiotropy modulates the efficacy of selection in Drosophila melanogaster’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/at:ista:/5757\">10.15479/at:ista:/5757</a>.","short":"C. Fraisse, (2018).","mla":"Fraisse, Christelle. <i>Supplementary Files for “Pleiotropy Modulates the Efficacy of Selection in Drosophila Melanogaster.”</i> Institute of Science and Technology Austria, 2018, doi:<a href=\"https://doi.org/10.15479/at:ista:/5757\">10.15479/at:ista:/5757</a>.","apa":"Fraisse, C. (2018). Supplementary Files for “Pleiotropy modulates the efficacy of selection in Drosophila melanogaster.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:/5757\">https://doi.org/10.15479/at:ista:/5757</a>"},"article_processing_charge":"No","_id":"5757","project":[{"call_identifier":"FP7","grant_number":"291734","_id":"25681D80-B435-11E9-9278-68D0E5697425","name":"International IST Postdoc Fellowship Programme"}],"title":"Supplementary Files for \"Pleiotropy modulates the efficacy of selection in Drosophila melanogaster\"","doi":"10.15479/at:ista:/5757","file":[{"checksum":"aed7ee9ca3f4dc07d8a66945f68e13cd","file_size":369837892,"creator":"cfraisse","relation":"main_file","date_created":"2018-12-19T14:19:52Z","date_updated":"2020-07-14T12:47:11Z","access_level":"open_access","file_name":"FileS1.zip","content_type":"application/zip","file_id":"5758"},{"date_created":"2018-12-19T14:19:49Z","relation":"main_file","date_updated":"2020-07-14T12:47:11Z","checksum":"3592e467b4d8206650860b612d6e12f3","file_size":84856909,"creator":"cfraisse","file_name":"FileS2.zip","content_type":"application/zip","file_id":"5759","access_level":"open_access"},{"file_name":"FileS3.txt","content_type":"text/plain","file_id":"5760","access_level":"open_access","relation":"main_file","date_created":"2018-12-19T14:19:49Z","date_updated":"2020-07-14T12:47:11Z","checksum":"c37ac5d5437c457338afc128c1240655","file_size":881133,"creator":"cfraisse"},{"file_size":883742,"creator":"cfraisse","checksum":"943dfd14da61817441e33e3e3cb8cdb9","date_created":"2018-12-19T14:19:49Z","relation":"main_file","date_updated":"2020-07-14T12:47:11Z","access_level":"open_access","file_name":"FileS4.txt","file_id":"5761","content_type":"text/plain"},{"file_name":"FileS5.txt","content_type":"text/plain","file_id":"5762","access_level":"open_access","date_created":"2018-12-19T14:19:49Z","relation":"main_file","date_updated":"2020-07-14T12:47:11Z","checksum":"1c669b6c4690ec1bbca3e2da9f566d17","file_size":2495437,"creator":"cfraisse"},{"access_level":"open_access","file_id":"5763","content_type":"text/plain","file_name":"FileS6.txt","checksum":"f40f661b987ca6fb6b47f650cbbb04e6","creator":"cfraisse","file_size":15913457,"date_updated":"2020-07-14T12:47:11Z","date_created":"2018-12-19T14:19:50Z","relation":"main_file"},{"access_level":"open_access","file_name":"FileS7.txt","content_type":"text/plain","file_id":"5764","file_size":2584120,"creator":"cfraisse","checksum":"25f41e5b8a075669c6c88d4c6713bf6f","date_created":"2018-12-19T14:19:50Z","relation":"main_file","date_updated":"2020-07-14T12:47:11Z"},{"date_updated":"2020-07-14T12:47:11Z","date_created":"2018-12-19T14:19:50Z","relation":"main_file","creator":"cfraisse","file_size":2446059,"checksum":"f6c0bd3e63e14ddf5445bd69b43a9152","file_id":"5765","content_type":"text/plain","file_name":"FileS8.txt","access_level":"open_access"},{"file_name":"FileS9.txt","content_type":"text/plain","file_id":"5766","access_level":"open_access","relation":"main_file","date_created":"2018-12-19T14:19:50Z","date_updated":"2020-07-14T12:47:11Z","file_size":100737,"creator":"cfraisse","checksum":"0fe7a58a030b11bf3b9c8ff7a7addcae"}],"year":"2018"},{"day":"01","type":"journal_article","status":"public","abstract":[{"text":"We study the Fokker-Planck equation derived in the large system limit of the Markovian process describing the dynamics of quantitative traits. The Fokker-Planck equation is posed on a bounded domain and its transport and diffusion coefficients vanish on the domain's boundary. We first argue that, despite this degeneracy, the standard no-flux boundary condition is valid. We derive the weak formulation of the problem and prove the existence and uniqueness of its solutions by constructing the corresponding contraction semigroup on a suitable function space. Then, we prove that for the parameter regime with high enough mutation rate the problem exhibits a positive spectral gap, which implies exponential convergence to equilibrium.Next, we provide a simple derivation of the so-called Dynamic Maximum Entropy (DynMaxEnt) method for approximation of observables (moments) of the Fokker-Planck solution, which can be interpreted as a nonlinear Galerkin approximation. The limited applicability of the DynMaxEnt method inspires us to introduce its modified version that is valid for the whole range of admissible parameters. Finally, we present several numerical experiments to demonstrate the performance of both the original and modified DynMaxEnt methods. We observe that in the parameter regimes where both methods are valid, the modified one exhibits slightly better approximation properties compared to the original one.","lang":"eng"}],"external_id":{"arxiv":["1704.08757"],"isi":["000437962900012"]},"publisher":"Elsevier","quality_controlled":"1","date_created":"2018-12-11T11:47:28Z","isi":1,"volume":"376-377","language":[{"iso":"eng"}],"year":"2018","page":"108-120","department":[{"_id":"NiBa"},{"_id":"GaTk"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1704.08757"}],"month":"08","scopus_import":"1","oa_version":"Submitted Version","publist_id":"7198","author":[{"last_name":"Bodova","orcid":"0000-0002-7214-0171","full_name":"Bodova, Katarina","id":"2BA24EA0-F248-11E8-B48F-1D18A9856A87","first_name":"Katarina"},{"full_name":"Haskovec, Jan","first_name":"Jan","last_name":"Haskovec"},{"first_name":"Peter","full_name":"Markowich, Peter","last_name":"Markowich"}],"date_published":"2018-08-01T00:00:00Z","date_updated":"2023-09-19T10:38:34Z","oa":1,"acknowledgement":"JH and PM are funded by KAUST baseline funds and grant no. 1000000193 .\r\nWe thank Nicholas Barton (IST Austria) for his useful comments and suggestions. \r\n\r\n","citation":{"ista":"Bodova K, Haskovec J, Markowich P. 2018. Well posedness and maximum entropy approximation for the dynamics of quantitative traits. Physica D: Nonlinear Phenomena. 376–377, 108–120.","short":"K. Bodova, J. Haskovec, P. Markowich, Physica D: Nonlinear Phenomena 376–377 (2018) 108–120.","mla":"Bodova, Katarina, et al. “Well Posedness and Maximum Entropy Approximation for the Dynamics of Quantitative Traits.” <i>Physica D: Nonlinear Phenomena</i>, vol. 376–377, Elsevier, 2018, pp. 108–20, doi:<a href=\"https://doi.org/10.1016/j.physd.2017.10.015\">10.1016/j.physd.2017.10.015</a>.","apa":"Bodova, K., Haskovec, J., &#38; Markowich, P. (2018). Well posedness and maximum entropy approximation for the dynamics of quantitative traits. <i>Physica D: Nonlinear Phenomena</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.physd.2017.10.015\">https://doi.org/10.1016/j.physd.2017.10.015</a>","chicago":"Bodova, Katarina, Jan Haskovec, and Peter Markowich. “Well Posedness and Maximum Entropy Approximation for the Dynamics of Quantitative Traits.” <i>Physica D: Nonlinear Phenomena</i>. Elsevier, 2018. <a href=\"https://doi.org/10.1016/j.physd.2017.10.015\">https://doi.org/10.1016/j.physd.2017.10.015</a>.","ieee":"K. Bodova, J. Haskovec, and P. Markowich, “Well posedness and maximum entropy approximation for the dynamics of quantitative traits,” <i>Physica D: Nonlinear Phenomena</i>, vol. 376–377. Elsevier, pp. 108–120, 2018.","ama":"Bodova K, Haskovec J, Markowich P. Well posedness and maximum entropy approximation for the dynamics of quantitative traits. <i>Physica D: Nonlinear Phenomena</i>. 2018;376-377:108-120. doi:<a href=\"https://doi.org/10.1016/j.physd.2017.10.015\">10.1016/j.physd.2017.10.015</a>"},"arxiv":1,"_id":"607","article_processing_charge":"No","title":"Well posedness and maximum entropy approximation for the dynamics of quantitative traits","publication":"Physica D: Nonlinear Phenomena","doi":"10.1016/j.physd.2017.10.015","publication_status":"published","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1"},{"doi":"10.25386/genetics.6148304.v1","year":"2018","title":"Supplemental material for Bodova et al., 2018","_id":"9813","article_processing_charge":"No","citation":{"ama":"Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Supplemental material for Bodova et al., 2018. 2018. doi:<a href=\"https://doi.org/10.25386/genetics.6148304.v1\">10.25386/genetics.6148304.v1</a>","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.","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. <a href=\"https://doi.org/10.25386/genetics.6148304.v1\">https://doi.org/10.25386/genetics.6148304.v1</a>.","apa":"Bodova, K., Priklopil, T., Field, D., Barton, N. H., &#38; Pickup, M. (2018). Supplemental material for Bodova et al., 2018. Genetics Society of America. <a href=\"https://doi.org/10.25386/genetics.6148304.v1\">https://doi.org/10.25386/genetics.6148304.v1</a>","mla":"Bodova, Katarina, et al. <i>Supplemental Material for Bodova et Al., 2018</i>. Genetics Society of America, 2018, doi:<a href=\"https://doi.org/10.25386/genetics.6148304.v1\">10.25386/genetics.6148304.v1</a>.","short":"K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, (2018).","ista":"Bodova K, Priklopil T, Field D, Barton NH, Pickup M. 2018. Supplemental material for Bodova et al., 2018, Genetics Society of America, <a href=\"https://doi.org/10.25386/genetics.6148304.v1\">10.25386/genetics.6148304.v1</a>."},"oa":1,"main_file_link":[{"url":"https://doi.org/10.25386/genetics.6148304.v1","open_access":"1"}],"month":"04","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","department":[{"_id":"NiBa"},{"_id":"GaTk"}],"oa_version":"Published Version","abstract":[{"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.","lang":"eng"}],"status":"public","type":"research_data_reference","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"316"}]},"day":"30","date_updated":"2025-05-28T11:57:01Z","date_created":"2021-08-06T13:04:32Z","date_published":"2018-04-30T00:00:00Z","author":[{"orcid":"0000-0002-7214-0171","last_name":"Bod'ová","first_name":"Katarína","id":"2BA24EA0-F248-11E8-B48F-1D18A9856A87","full_name":"Bod'ová, Katarína"},{"first_name":"Tadeas","id":"3C869AA0-F248-11E8-B48F-1D18A9856A87","full_name":"Priklopil, Tadeas","last_name":"Priklopil"},{"orcid":"0000-0002-4014-8478","last_name":"Field","full_name":"Field, David","id":"419049E2-F248-11E8-B48F-1D18A9856A87","first_name":"David"},{"id":"4880FE40-F248-11E8-B48F-1D18A9856A87","full_name":"Barton, Nicholas H","first_name":"Nicholas H","orcid":"0000-0002-8548-5240","last_name":"Barton"},{"id":"2C78037E-F248-11E8-B48F-1D18A9856A87","full_name":"Pickup, Melinda","first_name":"Melinda","last_name":"Pickup","orcid":"0000-0001-6118-0541"}],"publisher":"Genetics Society of America"},{"day":"09","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"6095"}]},"type":"research_data_reference","status":"public","abstract":[{"text":"Both classical and recent studies suggest that chromosomal inversion polymorphisms are important in adaptation and speciation. However, biases in discovery and reporting of inversions make it difficult to assess their prevalence and biological importance. Here, we use an approach based on linkage disequilibrium among markers genotyped for samples collected across a transect between contrasting habitats to detect chromosomal rearrangements de novo. We report 17 polymorphic rearrangements in a single locality for the coastal marine snail, Littorina saxatilis. Patterns of diversity in the field and of recombination in controlled crosses provide strong evidence that at least the majority of these rearrangements are inversions. Most show clinal changes in frequency between habitats, suggestive of divergent selection, but only one appears to be fixed for different arrangements in the two habitats. Consistent with widespread evidence for balancing selection on inversion polymorphisms, we argue that a combination of heterosis and divergent selection can explain the observed patterns and should be considered in other systems spanning environmental gradients.","lang":"eng"}],"oa_version":"Published Version","publisher":"Dryad","author":[{"last_name":"Faria","full_name":"Faria, Rui","first_name":"Rui"},{"first_name":"Pragya","full_name":"Chaube, Pragya","last_name":"Chaube"},{"last_name":"Morales","full_name":"Morales, Hernán E.","first_name":"Hernán E."},{"last_name":"Larsson","full_name":"Larsson, Tomas","first_name":"Tomas"},{"last_name":"Lemmon","full_name":"Lemmon, Alan R.","first_name":"Alan R."},{"last_name":"Lemmon","first_name":"Emily M.","full_name":"Lemmon, Emily M."},{"last_name":"Rafajlović","full_name":"Rafajlović, Marina","first_name":"Marina"},{"full_name":"Panova, Marina","first_name":"Marina","last_name":"Panova"},{"last_name":"Ravinet","first_name":"Mark","full_name":"Ravinet, Mark"},{"last_name":"Johannesson","first_name":"Kerstin","full_name":"Johannesson, Kerstin"},{"first_name":"Anja M","id":"3C147470-F248-11E8-B48F-1D18A9856A87","full_name":"Westram, Anja M","orcid":"0000-0003-1050-4969","last_name":"Westram"},{"last_name":"Butlin","full_name":"Butlin, Roger K.","first_name":"Roger K."}],"date_published":"2018-10-09T00:00:00Z","date_created":"2021-08-09T12:46:39Z","date_updated":"2023-08-24T14:50:26Z","oa":1,"citation":{"ista":"Faria R, Chaube P, Morales HE, Larsson T, Lemmon AR, Lemmon EM, Rafajlović M, Panova M, Ravinet M, Johannesson K, Westram AM, Butlin RK. 2018. Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes, Dryad, <a href=\"https://doi.org/10.5061/dryad.72cg113\">10.5061/dryad.72cg113</a>.","short":"R. Faria, P. Chaube, H.E. Morales, T. Larsson, A.R. Lemmon, E.M. Lemmon, M. Rafajlović, M. Panova, M. Ravinet, K. Johannesson, A.M. Westram, R.K. Butlin, (2018).","mla":"Faria, Rui, et al. <i>Data from: Multiple Chromosomal Rearrangements in a Hybrid Zone between Littorina Saxatilis Ecotypes</i>. Dryad, 2018, doi:<a href=\"https://doi.org/10.5061/dryad.72cg113\">10.5061/dryad.72cg113</a>.","apa":"Faria, R., Chaube, P., Morales, H. E., Larsson, T., Lemmon, A. R., Lemmon, E. M., … Butlin, R. K. (2018). Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes. Dryad. <a href=\"https://doi.org/10.5061/dryad.72cg113\">https://doi.org/10.5061/dryad.72cg113</a>","ieee":"R. Faria <i>et al.</i>, “Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes.” Dryad, 2018.","ama":"Faria R, Chaube P, Morales HE, et al. Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes. 2018. doi:<a href=\"https://doi.org/10.5061/dryad.72cg113\">10.5061/dryad.72cg113</a>","chicago":"Faria, Rui, Pragya Chaube, Hernán E. Morales, Tomas Larsson, Alan R. Lemmon, Emily M. Lemmon, Marina Rafajlović, et al. “Data from: Multiple Chromosomal Rearrangements in a Hybrid Zone between Littorina Saxatilis Ecotypes.” Dryad, 2018. <a href=\"https://doi.org/10.5061/dryad.72cg113\">https://doi.org/10.5061/dryad.72cg113</a>."},"article_processing_charge":"No","_id":"9837","title":"Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes","year":"2018","doi":"10.5061/dryad.72cg113","department":[{"_id":"NiBa"}],"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","month":"10","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5061/dryad.72cg113"}]}]