[{"file_date_updated":"2021-06-11T15:34:53Z","department":[{"_id":"NiBa"}],"date_updated":"2023-08-08T13:59:18Z","ddc":["570"],"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)"},"type":"journal_article","status":"public","_id":"9470","ec_funded":1,"license":"https://creativecommons.org/licenses/by-nc/4.0/","issue":"12","volume":30,"publication_status":"published","publication_identifier":{"eissn":["1365294X"],"issn":["09621083"]},"language":[{"iso":"eng"}],"file":[{"success":1,"checksum":"e6f4731365bde2614b333040a08265d8","file_id":"9545","relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_name":"2021_MolecularEcology_Berdan.pdf","date_created":"2021-06-11T15:34:53Z","creator":"kschuh","file_size":1031978,"date_updated":"2021-06-11T15:34:53Z"}],"scopus_import":"1","intvolume":" 30","month":"06","abstract":[{"text":"A key step in understanding the genetic basis of different evolutionary outcomes (e.g., adaptation) is to determine the roles played by different mutation types (e.g., SNPs, translocations and inversions). To do this we must simultaneously consider different mutation types in an evolutionary framework. Here, we propose a research framework that directly utilizes the most important characteristics of mutations, their population genetic effects, to determine their relative evolutionary significance in a given scenario. We review known population genetic effects of different mutation types and show how these may be connected to different evolutionary outcomes. We provide examples of how to implement this framework and pinpoint areas where more data, theory and synthesis are needed. Linking experimental and theoretical approaches to examine different mutation types simultaneously is a critical step towards understanding their evolutionary significance.","lang":"eng"}],"oa_version":"Published Version","article_processing_charge":"No","external_id":{"isi":["000652056400001"]},"author":[{"last_name":"Berdan","full_name":"Berdan, Emma L.","first_name":"Emma L."},{"full_name":"Blanckaert, Alexandre","last_name":"Blanckaert","first_name":"Alexandre"},{"full_name":"Slotte, Tanja","last_name":"Slotte","first_name":"Tanja"},{"first_name":"Alexander","full_name":"Suh, Alexander","last_name":"Suh"},{"first_name":"Anja M","id":"3C147470-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1050-4969","full_name":"Westram, Anja M","last_name":"Westram"},{"full_name":"Fragata, Inês","last_name":"Fragata","first_name":"Inês"}],"title":"Unboxing mutations: Connecting mutation types with evolutionary consequences","citation":{"ista":"Berdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. 2021. Unboxing mutations: Connecting mutation types with evolutionary consequences. Molecular Ecology. 30(12), 2710–2723.","chicago":"Berdan, Emma L., Alexandre Blanckaert, Tanja Slotte, Alexander Suh, Anja M Westram, and Inês Fragata. “Unboxing Mutations: Connecting Mutation Types with Evolutionary Consequences.” Molecular Ecology. Wiley, 2021. https://doi.org/10.1111/mec.15936.","apa":"Berdan, E. L., Blanckaert, A., Slotte, T., Suh, A., Westram, A. M., & Fragata, I. (2021). Unboxing mutations: Connecting mutation types with evolutionary consequences. Molecular Ecology. Wiley. https://doi.org/10.1111/mec.15936","ama":"Berdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. Unboxing mutations: Connecting mutation types with evolutionary consequences. Molecular Ecology. 2021;30(12):2710-2723. doi:10.1111/mec.15936","ieee":"E. L. Berdan, A. Blanckaert, T. Slotte, A. Suh, A. M. Westram, and I. Fragata, “Unboxing mutations: Connecting mutation types with evolutionary consequences,” Molecular Ecology, vol. 30, no. 12. Wiley, pp. 2710–2723, 2021.","short":"E.L. Berdan, A. Blanckaert, T. Slotte, A. Suh, A.M. Westram, I. Fragata, Molecular Ecology 30 (2021) 2710–2723.","mla":"Berdan, Emma L., et al. “Unboxing Mutations: Connecting Mutation Types with Evolutionary Consequences.” Molecular Ecology, vol. 30, no. 12, Wiley, 2021, pp. 2710–23, doi:10.1111/mec.15936."},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","project":[{"name":"Theoretical and empirical approaches to understanding Parallel Adaptation","grant_number":"797747","call_identifier":"H2020","_id":"265B41B8-B435-11E9-9278-68D0E5697425"}],"page":"2710-2723","date_created":"2021-06-06T22:01:31Z","date_published":"2021-06-01T00:00:00Z","doi":"10.1111/mec.15936","year":"2021","has_accepted_license":"1","isi":1,"publication":"Molecular Ecology","day":"01","oa":1,"quality_controlled":"1","publisher":"Wiley","acknowledgement":"We thank the editor, two helpful reviewers, Roger Butlin, Kerstin Johannesson, Valentina Peona, Rike Stelkens, Julie Blommaert, Nick Barton, and João Alpedrinha for helpful comments that improved the manuscript. The authors acknowledge funding from the Swedish Research Council Formas (2017-01597 to AS), the Swedish Research Council Vetenskapsrådet (2016-05139 to AS, 2019-04452 to TS) and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 757451 to TS). ELB was funded by a Carl Tryggers grant awarded to Tanja Slotte. Anja M. Westram was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 797747. Inês Fragata was funded by a Junior Researcher contract from FCT (CEECIND/02616/2018)."},{"department":[{"_id":"NiBa"}],"file_date_updated":"2020-07-14T12:47:31Z","ddc":["580","576"],"date_updated":"2023-08-25T10:37:30Z","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":"6466","license":"https://creativecommons.org/licenses/by/4.0/","volume":28,"issue":"7","language":[{"iso":"eng"}],"file":[{"checksum":"521e3aff3e9263ddf2ffbfe0b6157715","file_id":"6472","access_level":"open_access","relation":"main_file","content_type":"application/pdf","date_created":"2019-05-20T11:49:06Z","file_name":"2019_MolecularEcology_Field.pdf","creator":"dernst","date_updated":"2020-07-14T12:47:31Z","file_size":367711}],"publication_status":"published","publication_identifier":{"eissn":["1365294X"]},"intvolume":" 28","month":"04","scopus_import":"1","oa_version":"Published Version","abstract":[{"text":"One of the most striking and consistent results in speciation genomics is the heterogeneous divergence observed across the genomes of closely related species. This pattern was initially attributed to different levels of gene exchange—with divergence preserved at loci generating a barrier to gene flow but homogenized at unlinked neutral loci. Although there is evidence to support this model, it is now recognized that interpreting patterns of divergence across genomes is not so straightforward. One \r\nproblem is that heterogenous divergence between populations can also be generated by other processes (e.g. recurrent selective sweeps or background selection) without any involvement of differential gene flow. Thus, integrated studies that identify which loci are likely subject to divergent selection are required to shed light on the interplay between selection and gene flow during the early phases of speciation. In this issue of Molecular Ecology, Rifkin et al. (2019) confront this challenge using a pair of sister morning glory species. They wisely design their sampling to take the geographic context of individuals into account, including geographically isolated (allopatric) and co‐occurring (sympatric) populations. This enabled them to show that individuals are phenotypically less differentiated in sympatry. They also found that the loci that resist introgression are enriched for those most differentiated in allopatry and loci that exhibit signals of divergent selection. One great strength of the \r\nstudy is the combination of methods from population genetics and molecular evolution, including the development of a model to simultaneously infer admixture proportions and selfing rates.","lang":"eng"}],"title":"Breaking down barriers in morning glories","article_processing_charge":"No","external_id":{"isi":["000474808300001"]},"author":[{"full_name":"Field, David","orcid":"0000-0002-4014-8478","last_name":"Field","first_name":"David","id":"419049E2-F248-11E8-B48F-1D18A9856A87"},{"id":"32DF5794-F248-11E8-B48F-1D18A9856A87","first_name":"Christelle","orcid":"0000-0001-8441-5075","full_name":"Fraisse, Christelle","last_name":"Fraisse"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","citation":{"chicago":"Field, David, and Christelle Fraisse. “Breaking down Barriers in Morning Glories.” Molecular Ecology. Wiley, 2019. https://doi.org/10.1111/mec.15048.","ista":"Field D, Fraisse C. 2019. Breaking down barriers in morning glories. Molecular ecology. 28(7), 1579–1581.","mla":"Field, David, and Christelle Fraisse. “Breaking down Barriers in Morning Glories.” Molecular Ecology, vol. 28, no. 7, Wiley, 2019, pp. 1579–81, doi:10.1111/mec.15048.","apa":"Field, D., & Fraisse, C. (2019). Breaking down barriers in morning glories. Molecular Ecology. Wiley. https://doi.org/10.1111/mec.15048","ama":"Field D, Fraisse C. Breaking down barriers in morning glories. Molecular ecology. 2019;28(7):1579-1581. doi:10.1111/mec.15048","ieee":"D. Field and C. Fraisse, “Breaking down barriers in morning glories,” Molecular ecology, vol. 28, no. 7. Wiley, pp. 1579–1581, 2019.","short":"D. Field, C. Fraisse, Molecular Ecology 28 (2019) 1579–1581."},"date_created":"2019-05-19T21:59:15Z","date_published":"2019-04-01T00:00:00Z","doi":"10.1111/mec.15048","page":"1579-1581","publication":"Molecular ecology","day":"01","year":"2019","isi":1,"has_accepted_license":"1","oa":1,"quality_controlled":"1","publisher":"Wiley"}]