[{"date_created":"2019-07-28T21:59:17Z","doi":"10.7554/eLife.42014","date_published":"2019-06-06T00:00:00Z","year":"2019","isi":1,"has_accepted_license":"1","publication":"eLife","day":"06","oa":1,"publisher":"eLife Sciences Publications","quality_controlled":"1","external_id":{"pmid":["31169497"],"isi":["000473588700001"]},"article_processing_charge":"No","author":[{"first_name":"João Pl","last_name":"Castro","full_name":"Castro, João Pl"},{"first_name":"Michelle N.","last_name":"Yancoskie","full_name":"Yancoskie, Michelle N."},{"last_name":"Marchini","full_name":"Marchini, Marta","first_name":"Marta"},{"last_name":"Belohlavy","full_name":"Belohlavy, Stefanie","orcid":"0000-0002-9849-498X","first_name":"Stefanie","id":"43FE426A-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Hiramatsu","full_name":"Hiramatsu, Layla","first_name":"Layla"},{"first_name":"Marek","full_name":"Kučka, Marek","last_name":"Kučka"},{"full_name":"Beluch, William H.","last_name":"Beluch","first_name":"William H."},{"last_name":"Naumann","full_name":"Naumann, Ronald","first_name":"Ronald"},{"first_name":"Isabella","last_name":"Skuplik","full_name":"Skuplik, Isabella"},{"first_name":"John","last_name":"Cobb","full_name":"Cobb, John"},{"full_name":"Barton, Nicholas H","orcid":"0000-0002-8548-5240","last_name":"Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H"},{"first_name":"Campbell","last_name":"Rolian","full_name":"Rolian, Campbell"},{"full_name":"Chan, Yingguang Frank","last_name":"Chan","first_name":"Yingguang Frank"}],"title":"An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice","citation":{"mla":"Castro, João Pl, et al. “An Integrative Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice.” ELife, vol. 8, e42014, eLife Sciences Publications, 2019, doi:10.7554/eLife.42014.","apa":"Castro, J. P., Yancoskie, M. N., Marchini, M., Belohlavy, S., Hiramatsu, L., Kučka, M., … Chan, Y. F. (2019). An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.42014","ama":"Castro JP, Yancoskie MN, Marchini M, et al. An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. eLife. 2019;8. doi:10.7554/eLife.42014","ieee":"J. P. Castro et al., “An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice,” eLife, vol. 8. eLife Sciences Publications, 2019.","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, ELife 8 (2019).","chicago":"Castro, João Pl, Michelle N. Yancoskie, Marta Marchini, Stefanie Belohlavy, Layla Hiramatsu, Marek Kučka, William H. Beluch, et al. “An Integrative Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice.” ELife. eLife Sciences Publications, 2019. https://doi.org/10.7554/eLife.42014.","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. An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. eLife. 8, e42014."},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","article_number":"e42014","volume":8,"related_material":{"record":[{"status":"public","id":"9804","relation":"research_data"},{"id":"11388","status":"public","relation":"dissertation_contains"}]},"publication_status":"published","language":[{"iso":"eng"}],"file":[{"creator":"apreinsp","file_size":6748249,"date_updated":"2020-07-14T12:47:38Z","file_name":"2019_eLife_Castro.pdf","date_created":"2019-07-29T07:41:18Z","relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_id":"6721","checksum":"fa0936fe58f0d9e3f8e75038570e5a17"}],"scopus_import":"1","intvolume":" 8","month":"06","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."}],"pmid":1,"oa_version":"Published Version","file_date_updated":"2020-07-14T12:47:38Z","department":[{"_id":"NiBa"}],"date_updated":"2024-03-27T23:30:22Z","ddc":["576"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","status":"public","_id":"6713"},{"date_created":"2018-12-11T11:45:46Z","date_published":"2018-06-15T00:00:00Z","doi":"10.1371/journal.pbio.2005372","publication":"PLoS Biology","day":"15","year":"2018","has_accepted_license":"1","oa":1,"quality_controlled":"1","publisher":"Public Library of Science","title":"Is the sky the limit? On the expansion threshold of a species’ range","publist_id":"7550","author":[{"last_name":"Polechova","full_name":"Polechova, Jitka","orcid":"0000-0003-0951-3112","first_name":"Jitka","id":"3BBFB084-F248-11E8-B48F-1D18A9856A87"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"chicago":"Polechova, Jitka. “Is the Sky the Limit? On the Expansion Threshold of a Species’ Range.” PLoS Biology. Public Library of Science, 2018. https://doi.org/10.1371/journal.pbio.2005372.","ista":"Polechova J. 2018. Is the sky the limit? On the expansion threshold of a species’ range. PLoS Biology. 16(6), e2005372.","mla":"Polechova, Jitka. “Is the Sky the Limit? On the Expansion Threshold of a Species’ Range.” PLoS Biology, vol. 16, no. 6, e2005372, Public Library of Science, 2018, doi:10.1371/journal.pbio.2005372.","apa":"Polechova, J. (2018). Is the sky the limit? On the expansion threshold of a species’ range. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2005372","ama":"Polechova J. Is the sky the limit? On the expansion threshold of a species’ range. PLoS Biology. 2018;16(6). doi:10.1371/journal.pbio.2005372","ieee":"J. Polechova, “Is the sky the limit? On the expansion threshold of a species’ range,” PLoS Biology, vol. 16, no. 6. Public Library of Science, 2018.","short":"J. Polechova, PLoS Biology 16 (2018)."},"article_number":"e2005372","related_material":{"record":[{"status":"public","id":"9839","relation":"research_data"}]},"volume":16,"issue":"6","language":[{"iso":"eng"}],"file":[{"file_name":"2017_PLOS_Polechova.pdf","date_created":"2019-01-22T08:30:03Z","creator":"dernst","file_size":6968201,"date_updated":"2020-07-14T12:46:01Z","file_id":"5870","checksum":"908c52751bba30c55ed36789e5e4c84d","relation":"main_file","access_level":"open_access","content_type":"application/pdf"}],"publication_status":"published","publication_identifier":{"issn":["15449173"]},"intvolume":" 16","month":"06","scopus_import":1,"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"}],"file_date_updated":"2020-07-14T12:46:01Z","department":[{"_id":"NiBa"}],"ddc":["576"],"date_updated":"2023-02-23T14:10:16Z","status":"public","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","_id":"315"},{"abstract":[{"lang":"eng","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."}],"oa_version":"Published Version","oa":1,"main_file_link":[{"url":"https://doi.org/10.5061/dryad.72cg113","open_access":"1"}],"publisher":"Dryad","month":"10","year":"2018","day":"09","date_created":"2021-08-09T12:46:39Z","related_material":{"record":[{"id":"6095","status":"public","relation":"used_in_publication"}]},"doi":"10.5061/dryad.72cg113","date_published":"2018-10-09T00:00:00Z","_id":"9837","type":"research_data_reference","status":"public","date_updated":"2023-08-24T14:50:26Z","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, 10.5061/dryad.72cg113.","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. https://doi.org/10.5061/dryad.72cg113.","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).","ieee":"R. Faria et al., “Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes.” Dryad, 2018.","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. https://doi.org/10.5061/dryad.72cg113","ama":"Faria R, Chaube P, Morales HE, et al. Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes. 2018. doi:10.5061/dryad.72cg113","mla":"Faria, Rui, et al. Data from: Multiple Chromosomal Rearrangements in a Hybrid Zone between Littorina Saxatilis Ecotypes. Dryad, 2018, doi:10.5061/dryad.72cg113."},"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","article_processing_charge":"No","author":[{"first_name":"Rui","full_name":"Faria, Rui","last_name":"Faria"},{"first_name":"Pragya","full_name":"Chaube, Pragya","last_name":"Chaube"},{"first_name":"Hernán E.","full_name":"Morales, Hernán E.","last_name":"Morales"},{"first_name":"Tomas","last_name":"Larsson","full_name":"Larsson, Tomas"},{"last_name":"Lemmon","full_name":"Lemmon, Alan R.","first_name":"Alan R."},{"last_name":"Lemmon","full_name":"Lemmon, Emily M.","first_name":"Emily M."},{"full_name":"Rafajlović, Marina","last_name":"Rafajlović","first_name":"Marina"},{"first_name":"Marina","full_name":"Panova, Marina","last_name":"Panova"},{"first_name":"Mark","last_name":"Ravinet","full_name":"Ravinet, Mark"},{"first_name":"Kerstin","last_name":"Johannesson","full_name":"Johannesson, Kerstin"},{"id":"3C147470-F248-11E8-B48F-1D18A9856A87","first_name":"Anja M","orcid":"0000-0003-1050-4969","full_name":"Westram, Anja M","last_name":"Westram"},{"full_name":"Butlin, Roger K.","last_name":"Butlin","first_name":"Roger K."}],"title":"Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes","department":[{"_id":"NiBa"}]},{"year":"2018","has_accepted_license":"1","isi":1,"publication":"eLife","day":"09","date_created":"2018-12-11T11:46:23Z","date_published":"2018-03-09T00:00:00Z","doi":"10.7554/eLife.32035","acknowledgement":"We are grateful to Remy Chait for his help and assistance with establishing our experimental setups and to Tobias Bergmiller for valuable insights into some specific experimental details. We thank Luciano Marraffini for donating us the pCas9 plasmid used in this study. We also want to express our gratitude to Seth Barribeau, Andrea Betancourt, Călin Guet, Mato Lagator, Tiago Paixão and Maroš Pleška for valuable discussions on the manuscript. Finally, we would like to thank the \r\neditors and reviewers for their helpful comments and suggestions.","oa":1,"publisher":"eLife Sciences Publications","quality_controlled":"1","citation":{"apa":"Payne, P., Geyrhofer, L., Barton, N. H., & Bollback, J. P. (2018). CRISPR-based herd immunity can limit phage epidemics in bacterial populations. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.32035","ama":"Payne P, Geyrhofer L, Barton NH, Bollback JP. CRISPR-based herd immunity can limit phage epidemics in bacterial populations. eLife. 2018;7. doi:10.7554/eLife.32035","ieee":"P. Payne, L. Geyrhofer, N. H. Barton, and J. P. Bollback, “CRISPR-based herd immunity can limit phage epidemics in bacterial populations,” eLife, vol. 7. eLife Sciences Publications, 2018.","short":"P. Payne, L. Geyrhofer, N.H. Barton, J.P. Bollback, ELife 7 (2018).","mla":"Payne, Pavel, et al. “CRISPR-Based Herd Immunity Can Limit Phage Epidemics in Bacterial Populations.” ELife, vol. 7, e32035, eLife Sciences Publications, 2018, doi:10.7554/eLife.32035.","ista":"Payne P, Geyrhofer L, Barton NH, Bollback JP. 2018. CRISPR-based herd immunity can limit phage epidemics in bacterial populations. eLife. 7, e32035.","chicago":"Payne, Pavel, Lukas Geyrhofer, Nicholas H Barton, and Jonathan P Bollback. “CRISPR-Based Herd Immunity Can Limit Phage Epidemics in Bacterial Populations.” ELife. eLife Sciences Publications, 2018. https://doi.org/10.7554/eLife.32035."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","article_processing_charge":"No","external_id":{"isi":["000431035800001"]},"author":[{"id":"35F78294-F248-11E8-B48F-1D18A9856A87","first_name":"Pavel","orcid":"0000-0002-2711-9453","full_name":"Payne, Pavel","last_name":"Payne"},{"first_name":"Lukas","full_name":"Geyrhofer, Lukas","last_name":"Geyrhofer"},{"first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","last_name":"Barton","orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H"},{"first_name":"Jonathan P","id":"2C6FA9CC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4624-4612","full_name":"Bollback, Jonathan P","last_name":"Bollback"}],"publist_id":"7400","title":"CRISPR-based herd immunity can limit phage epidemics in bacterial populations","article_number":"e32035","project":[{"call_identifier":"H2020","_id":"2578D616-B435-11E9-9278-68D0E5697425","name":"Selective Barriers to Horizontal Gene Transfer","grant_number":"648440"}],"publication_status":"published","language":[{"iso":"eng"}],"file":[{"file_id":"5689","checksum":"447cf6e680bdc3c01062a8737d876569","content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_name":"2018_eLife_Payne.pdf","date_created":"2018-12-17T10:36:07Z","file_size":3533881,"date_updated":"2020-07-14T12:46:25Z","creator":"dernst"}],"ec_funded":1,"related_material":{"record":[{"relation":"research_data","id":"9840","status":"public"}]},"volume":7,"abstract":[{"text":"Herd immunity, a process in which resistant individuals limit the spread of a pathogen among susceptible hosts has been extensively studied in eukaryotes. Even though bacteria have evolved multiple immune systems against their phage pathogens, herd immunity in bacteria remains unexplored. Here we experimentally demonstrate that herd immunity arises during phage epidemics in structured and unstructured Escherichia coli populations consisting of differing frequencies of susceptible and resistant cells harboring CRISPR immunity. In addition, we develop a mathematical model that quantifies how herd immunity is affected by spatial population structure, bacterial growth rate, and phage replication rate. Using our model we infer a general epidemiological rule describing the relative speed of an epidemic in partially resistant spatially structured populations. Our experimental and theoretical findings indicate that herd immunity may be important in bacterial communities, allowing for stable coexistence of bacteria and their phages and the maintenance of polymorphism in bacterial immunity.","lang":"eng"}],"oa_version":"Published Version","scopus_import":"1","intvolume":" 7","month":"03","date_updated":"2023-09-11T12:49:17Z","ddc":["576"],"file_date_updated":"2020-07-14T12:46:25Z","department":[{"_id":"NiBa"},{"_id":"JoBo"}],"_id":"423","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","status":"public"},{"_id":"9840","status":"public","type":"research_data_reference","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","date_updated":"2023-09-11T12:49:17Z","citation":{"ieee":"P. Payne, L. Geyrhofer, N. H. Barton, and J. P. Bollback, “Data from: CRISPR-based herd immunity limits phage epidemics in bacterial populations.” Dryad, 2018.","short":"P. Payne, L. Geyrhofer, N.H. Barton, J.P. Bollback, (2018).","ama":"Payne P, Geyrhofer L, Barton NH, Bollback JP. Data from: CRISPR-based herd immunity limits phage epidemics in bacterial populations. 2018. doi:10.5061/dryad.42n44","apa":"Payne, P., Geyrhofer, L., Barton, N. H., & Bollback, J. P. (2018). Data from: CRISPR-based herd immunity limits phage epidemics in bacterial populations. Dryad. https://doi.org/10.5061/dryad.42n44","mla":"Payne, Pavel, et al. Data from: CRISPR-Based Herd Immunity Limits Phage Epidemics in Bacterial Populations. Dryad, 2018, doi:10.5061/dryad.42n44.","ista":"Payne P, Geyrhofer L, Barton NH, Bollback JP. 2018. Data from: CRISPR-based herd immunity limits phage epidemics in bacterial populations, Dryad, 10.5061/dryad.42n44.","chicago":"Payne, Pavel, Lukas Geyrhofer, Nicholas H Barton, and Jonathan P Bollback. “Data from: CRISPR-Based Herd Immunity Limits Phage Epidemics in Bacterial Populations.” Dryad, 2018. https://doi.org/10.5061/dryad.42n44."},"title":"Data from: CRISPR-based herd immunity limits phage epidemics in bacterial populations","department":[{"_id":"NiBa"},{"_id":"JoBo"}],"article_processing_charge":"No","author":[{"last_name":"Payne","full_name":"Payne, Pavel","orcid":"0000-0002-2711-9453","first_name":"Pavel","id":"35F78294-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Lukas","full_name":"Geyrhofer, Lukas","last_name":"Geyrhofer"},{"first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","last_name":"Barton"},{"full_name":"Bollback, Jonathan P","orcid":"0000-0002-4624-4612","last_name":"Bollback","first_name":"Jonathan P","id":"2C6FA9CC-F248-11E8-B48F-1D18A9856A87"}],"oa_version":"Published Version","abstract":[{"lang":"eng","text":"Herd immunity, a process in which resistant individuals limit the spread of a pathogen among susceptible hosts has been extensively studied in eukaryotes. Even though bacteria have evolved multiple immune systems against their phage pathogens, herd immunity in bacteria remains unexplored. Here we experimentally demonstrate that herd immunity arises during phage epidemics in structured and unstructured Escherichia coli populations consisting of differing frequencies of susceptible and resistant cells harboring CRISPR immunity. In addition, we develop a mathematical model that quantifies how herd immunity is affected by spatial population structure, bacterial growth rate, and phage replication rate. Using our model we infer a general epidemiological rule describing the relative speed of an epidemic in partially resistant spatially structured populations. Our experimental and theoretical findings indicate that herd immunity may be important in bacterial communities, allowing for stable coexistence of bacteria and their phages and the maintenance of polymorphism in bacterial immunity."}],"month":"03","oa":1,"main_file_link":[{"url":"https://doi.org/10.5061/dryad.42n44","open_access":"1"}],"publisher":"Dryad","day":"12","year":"2018","date_created":"2021-08-09T13:10:02Z","doi":"10.5061/dryad.42n44","date_published":"2018-03-12T00:00:00Z","related_material":{"record":[{"status":"public","id":"423","relation":"used_in_publication"}]}},{"project":[{"call_identifier":"FP7","_id":"25B07788-B435-11E9-9278-68D0E5697425","grant_number":"250152","name":"Limits to selection in biology and in evolutionary computation"}],"citation":{"ista":"Barton NH, Etheridge A. 2018. Establishment in a new habitat by polygenic adaptation. Theoretical Population Biology. 122(7), 110–127.","chicago":"Barton, Nicholas H, and Alison Etheridge. “Establishment in a New Habitat by Polygenic Adaptation.” Theoretical Population Biology. Academic Press, 2018. https://doi.org/10.1016/j.tpb.2017.11.007.","short":"N.H. Barton, A. Etheridge, Theoretical Population Biology 122 (2018) 110–127.","ieee":"N. H. Barton and A. Etheridge, “Establishment in a new habitat by polygenic adaptation,” Theoretical Population Biology, vol. 122, no. 7. Academic Press, pp. 110–127, 2018.","apa":"Barton, N. H., & Etheridge, A. (2018). Establishment in a new habitat by polygenic adaptation. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2017.11.007","ama":"Barton NH, Etheridge A. Establishment in a new habitat by polygenic adaptation. Theoretical Population Biology. 2018;122(7):110-127. doi:10.1016/j.tpb.2017.11.007","mla":"Barton, Nicholas H., and Alison Etheridge. “Establishment in a New Habitat by Polygenic Adaptation.” Theoretical Population Biology, vol. 122, no. 7, Academic Press, 2018, pp. 110–27, doi:10.1016/j.tpb.2017.11.007."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publist_id":"7250","author":[{"orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","last_name":"Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H"},{"first_name":"Alison","last_name":"Etheridge","full_name":"Etheridge, Alison"}],"external_id":{"isi":["000440392900014"]},"article_processing_charge":"No","title":"Establishment in a new habitat by polygenic adaptation","quality_controlled":"1","publisher":"Academic Press","oa":1,"isi":1,"has_accepted_license":"1","year":"2018","day":"01","publication":"Theoretical Population Biology","page":"110-127","date_published":"2018-07-01T00:00:00Z","doi":"10.1016/j.tpb.2017.11.007","date_created":"2018-12-11T11:47:12Z","_id":"564","article_type":"original","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","short":"CC BY-NC (4.0)"},"status":"public","date_updated":"2023-09-11T13:41:22Z","ddc":["519","576"],"file_date_updated":"2020-07-14T12:47:09Z","department":[{"_id":"NiBa"}],"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"}],"oa_version":"Submitted Version","scopus_import":"1","month":"07","intvolume":" 122","publication_status":"published","file":[{"checksum":"0b96f6db47e3e91b5e7d103b847c239d","file_id":"7199","content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_name":"bartonetheridge.pdf","date_created":"2019-12-21T09:36:39Z","file_size":2287682,"date_updated":"2020-07-14T12:47:09Z","creator":"nbarton"}],"language":[{"iso":"eng"}],"related_material":{"record":[{"relation":"research_data","id":"9842","status":"public"}]},"issue":"7","volume":122,"license":"https://creativecommons.org/licenses/by-nc/4.0/","ec_funded":1},{"_id":"563","type":"journal_article","status":"public","date_updated":"2023-09-11T13:42:38Z","department":[{"_id":"NiBa"},{"_id":"ChLa"}],"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"}],"oa_version":"Preprint","scopus_import":"1","main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/205484v1","open_access":"1"}],"month":"03","intvolume":" 208","publication_status":"published","language":[{"iso":"eng"}],"issue":"3","related_material":{"record":[{"relation":"dissertation_contains","id":"200","status":"public"}]},"volume":208,"citation":{"chicago":"Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.117.300638.","ista":"Ringbauer H, Kolesnikov A, Field D, Barton NH. 2018. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 208(3), 1231–1245.","mla":"Ringbauer, Harald, et al. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics, vol. 208, no. 3, Genetics Society of America, 2018, pp. 1231–45, doi:10.1534/genetics.117.300638.","short":"H. Ringbauer, A. Kolesnikov, D. Field, N.H. Barton, Genetics 208 (2018) 1231–1245.","ieee":"H. Ringbauer, A. Kolesnikov, D. Field, and N. H. Barton, “Estimating barriers to gene flow from distorted isolation-by-distance patterns,” Genetics, vol. 208, no. 3. Genetics Society of America, pp. 1231–1245, 2018.","apa":"Ringbauer, H., Kolesnikov, A., Field, D., & Barton, N. H. (2018). Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.117.300638","ama":"Ringbauer H, Kolesnikov A, Field D, Barton NH. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 2018;208(3):1231-1245. doi:10.1534/genetics.117.300638"},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publist_id":"7251","author":[{"last_name":"Ringbauer","full_name":"Ringbauer, Harald","orcid":"0000-0002-4884-9682","id":"417FCFF4-F248-11E8-B48F-1D18A9856A87","first_name":"Harald"},{"full_name":"Kolesnikov, Alexander","last_name":"Kolesnikov","id":"2D157DB6-F248-11E8-B48F-1D18A9856A87","first_name":"Alexander"},{"full_name":"Field, David","last_name":"Field","first_name":"David"},{"id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H","full_name":"Barton, Nicholas H","orcid":"0000-0002-8548-5240","last_name":"Barton"}],"external_id":{"isi":["000426219600025"]},"article_processing_charge":"No","title":"Estimating barriers to gene flow from distorted isolation-by-distance patterns","publisher":"Genetics Society of America","quality_controlled":"1","oa":1,"isi":1,"year":"2018","day":"01","publication":"Genetics","page":"1231-1245","doi":"10.1534/genetics.117.300638","date_published":"2018-03-01T00:00:00Z","date_created":"2018-12-11T11:47:12Z"},{"oa":1,"quality_controlled":"1","publisher":"Genetics Society of America","date_created":"2018-12-11T11:45:47Z","date_published":"2018-07-01T00:00:00Z","doi":"10.1534/genetics.118.300748","page":"861-883","publication":"Genetics","day":"01","year":"2018","isi":1,"project":[{"_id":"25B36484-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"Mating system and the evolutionary dynamics of hybrid zones","grant_number":"329960"},{"grant_number":"250152","name":"Limits to selection in biology and in evolutionary computation","_id":"25B07788-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"},{"call_identifier":"FP7","_id":"25681D80-B435-11E9-9278-68D0E5697425","grant_number":"291734","name":"International IST Postdoc Fellowship Programme"}],"title":"Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system","article_processing_charge":"No","external_id":{"isi":["000437171700017"]},"author":[{"first_name":"Katarina","id":"2BA24EA0-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7214-0171","full_name":"Bodova, Katarina","last_name":"Bodova"},{"id":"3C869AA0-F248-11E8-B48F-1D18A9856A87","first_name":"Tadeas","full_name":"Priklopil, Tadeas","last_name":"Priklopil"},{"last_name":"Field","orcid":"0000-0002-4014-8478","full_name":"Field, David","first_name":"David","id":"419049E2-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","full_name":"Barton, Nicholas H","orcid":"0000-0002-8548-5240","last_name":"Barton"},{"last_name":"Pickup","orcid":"0000-0001-6118-0541","full_name":"Pickup, Melinda","first_name":"Melinda","id":"2C78037E-F248-11E8-B48F-1D18A9856A87"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","citation":{"ista":"Bodova K, Priklopil T, Field D, Barton NH, Pickup M. 2018. Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. 209(3), 861–883.","chicago":"Bodova, Katarina, Tadeas Priklopil, David Field, Nicholas H Barton, and Melinda Pickup. “Evolutionary Pathways for the Generation of New Self-Incompatibility Haplotypes in a Non-Self Recognition System.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.300748.","ieee":"K. Bodova, T. Priklopil, D. Field, N. H. Barton, and M. Pickup, “Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system,” Genetics, vol. 209, no. 3. Genetics Society of America, pp. 861–883, 2018.","short":"K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, Genetics 209 (2018) 861–883.","ama":"Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. 2018;209(3):861-883. doi:10.1534/genetics.118.300748","apa":"Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018). Evolutionary pathways for the generation of new self-incompatibility haplotypes in a non-self recognition system. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.300748","mla":"Bodova, Katarina, et al. “Evolutionary Pathways for the Generation of New Self-Incompatibility Haplotypes in a Non-Self Recognition System.” Genetics, vol. 209, no. 3, Genetics Society of America, 2018, pp. 861–83, doi:10.1534/genetics.118.300748."},"intvolume":" 209","month":"07","main_file_link":[{"open_access":"1","url":"https://www.biorxiv.org/node/80098.abstract"}],"scopus_import":"1","oa_version":"Preprint","abstract":[{"lang":"eng","text":"Self-incompatibility (SI) is a genetically based recognition system that functions to prevent self-fertilization and mating among related plants. An enduring puzzle in SI is how the high diversity observed in nature arises and is maintained. Based on the underlying recognition mechanism, SI can be classified into two main groups: self- and non-self recognition. Most work has focused on diversification within self-recognition systems despite expected differences between the two groups in the evolutionary pathways and outcomes of diversification. Here, we use a deterministic population genetic model and stochastic simulations to investigate how novel S-haplotypes evolve in a gametophytic non-self recognition (SRNase/S Locus F-box (SLF)) SI system. For this model the pathways for diversification involve either the maintenance or breakdown of SI and can vary in the order of mutations of the female (SRNase) and male (SLF) components. We show analytically that diversification can occur with high inbreeding depression and self-pollination, but this varies with evolutionary pathway and level of completeness (which determines the number of potential mating partners in the population), and in general is more likely for lower haplotype number. The conditions for diversification are broader in stochastic simulations of finite population size. However, the number of haplotypes observed under high inbreeding and moderate to high self-pollination is less than that commonly observed in nature. Diversification was observed through pathways that maintain SI as well as through self-compatible intermediates. Yet the lifespan of diversified haplotypes was sensitive to their level of completeness. By examining diversification in a non-self recognition SI system, this model extends our understanding of the evolution and maintenance of haplotype diversity observed in a self recognition system common in flowering plants."}],"ec_funded":1,"related_material":{"link":[{"description":"News on IST Homepage","relation":"press_release","url":"https://ist.ac.at/en/news/recognizing-others-but-not-yourself-new-insights-into-the-evolution-of-plant-mating/"}],"record":[{"relation":"research_data","id":"9813","status":"public"}]},"volume":209,"issue":"3","language":[{"iso":"eng"}],"publication_status":"published","status":"public","type":"journal_article","article_type":"original","_id":"316","department":[{"_id":"NiBa"},{"_id":"GaTk"}],"date_updated":"2023-09-11T13:57:43Z"},{"status":"public","type":"research_data_reference","_id":"9813","department":[{"_id":"NiBa"},{"_id":"GaTk"}],"title":"Supplemental material for Bodova et al., 2018","author":[{"last_name":"Bod'ová","full_name":"Bod'ová, Katarína","orcid":"0000-0002-7214-0171","first_name":"Katarína","id":"2BA24EA0-F248-11E8-B48F-1D18A9856A87"},{"id":"3C869AA0-F248-11E8-B48F-1D18A9856A87","first_name":"Tadeas","full_name":"Priklopil, Tadeas","last_name":"Priklopil"},{"id":"419049E2-F248-11E8-B48F-1D18A9856A87","first_name":"David","full_name":"Field, David","orcid":"0000-0002-4014-8478","last_name":"Field"},{"orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","last_name":"Barton","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H"},{"last_name":"Pickup","orcid":"0000-0001-6118-0541","full_name":"Pickup, Melinda","first_name":"Melinda","id":"2C78037E-F248-11E8-B48F-1D18A9856A87"}],"article_processing_charge":"No","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","date_updated":"2023-09-11T13:57:42Z","citation":{"chicago":"Bodova, Katarina, Tadeas Priklopil, David Field, Nicholas H Barton, and Melinda Pickup. “Supplemental Material for Bodova et Al., 2018.” Genetics Society of America, 2018. https://doi.org/10.25386/genetics.6148304.v1.","ista":"Bodova K, Priklopil T, Field D, Barton NH, Pickup M. 2018. Supplemental material for Bodova et al., 2018, Genetics Society of America, 10.25386/genetics.6148304.v1.","mla":"Bodova, Katarina, et al. Supplemental Material for Bodova et Al., 2018. Genetics Society of America, 2018, doi:10.25386/genetics.6148304.v1.","ama":"Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Supplemental material for Bodova et al., 2018. 2018. doi:10.25386/genetics.6148304.v1","apa":"Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018). Supplemental material for Bodova et al., 2018. Genetics Society of America. https://doi.org/10.25386/genetics.6148304.v1","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.","short":"K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, (2018)."},"month":"04","publisher":"Genetics Society of America","oa":1,"main_file_link":[{"url":"https://doi.org/10.25386/genetics.6148304.v1","open_access":"1"}],"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"}],"related_material":{"record":[{"id":"316","status":"public","relation":"used_in_publication"}]},"doi":"10.25386/genetics.6148304.v1","date_published":"2018-04-30T00:00:00Z","date_created":"2021-08-06T13:04:32Z","day":"30","year":"2018"},{"ec_funded":1,"issue":"5","volume":80,"publication_status":"published","language":[{"iso":"eng"}],"file":[{"relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_id":"4674","checksum":"7d92f5d7be81e387edeec4f06442791c","creator":"system","file_size":691245,"date_updated":"2020-07-14T12:47:54Z","file_name":"IST-2018-1014-v1+1_2018_Paixao_Escape.pdf","date_created":"2018-12-12T10:08:14Z"}],"scopus_import":"1","intvolume":" 80","month":"05","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."}],"oa_version":"Published Version","department":[{"_id":"NiBa"},{"_id":"CaGu"}],"file_date_updated":"2020-07-14T12:47:54Z","date_updated":"2023-09-11T14:11:35Z","ddc":["576"],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","pubrep_id":"1014","status":"public","_id":"723","page":"1604 - 1633","date_created":"2018-12-11T11:48:09Z","date_published":"2018-05-01T00:00:00Z","doi":"10.1007/s00453-017-0369-2","year":"2018","isi":1,"has_accepted_license":"1","publication":"Algorithmica","day":"01","oa":1,"quality_controlled":"1","publisher":"Springer","external_id":{"isi":["000428239300010"]},"article_processing_charge":"No","publist_id":"6957","author":[{"first_name":"Pietro","full_name":"Oliveto, Pietro","last_name":"Oliveto"},{"last_name":"Paixao","orcid":"0000-0003-2361-3953","full_name":"Paixao, Tiago","first_name":"Tiago","id":"2C5658E6-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Pérez Heredia, Jorge","last_name":"Pérez Heredia","first_name":"Jorge"},{"first_name":"Dirk","full_name":"Sudholt, Dirk","last_name":"Sudholt"},{"first_name":"Barbora","id":"42302D54-F248-11E8-B48F-1D18A9856A87","last_name":"Trubenova","orcid":"0000-0002-6873-2967","full_name":"Trubenova, Barbora"}],"title":"How to escape local optima in black box optimisation when non elitism outperforms elitism","citation":{"chicago":"Oliveto, Pietro, Tiago Paixao, Jorge Pérez Heredia, Dirk Sudholt, and Barbora Trubenova. “How to Escape Local Optima in Black Box Optimisation When Non Elitism Outperforms Elitism.” Algorithmica. Springer, 2018. https://doi.org/10.1007/s00453-017-0369-2.","ista":"Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2018. How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. 80(5), 1604–1633.","mla":"Oliveto, Pietro, et al. “How to Escape Local Optima in Black Box Optimisation When Non Elitism Outperforms Elitism.” Algorithmica, vol. 80, no. 5, Springer, 2018, pp. 1604–33, doi:10.1007/s00453-017-0369-2.","short":"P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica 80 (2018) 1604–1633.","ieee":"P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How to escape local optima in black box optimisation when non elitism outperforms elitism,” Algorithmica, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.","apa":"Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B. (2018). How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. Springer. https://doi.org/10.1007/s00453-017-0369-2","ama":"Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. 2018;80(5):1604-1633. doi:10.1007/s00453-017-0369-2"},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","project":[{"grant_number":"618091","name":"Speed of Adaptation in Population Genetics and Evolutionary Computation","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"}]}]