{"file":[{"checksum":"e6f4731365bde2614b333040a08265d8","access_level":"open_access","date_created":"2021-06-11T15:34:53Z","success":1,"date_updated":"2021-06-11T15:34:53Z","content_type":"application/pdf","creator":"kschuh","file_id":"9545","file_name":"2021_MolecularEcology_Berdan.pdf","relation":"main_file","file_size":1031978}],"day":"01","publisher":"Wiley","department":[{"_id":"NiBa"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","isi":1,"article_processing_charge":"No","file_date_updated":"2021-06-11T15:34:53Z","volume":30,"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"}],"date_created":"2021-06-06T22:01:31Z","publication_status":"published","language":[{"iso":"eng"}],"publication":"Molecular Ecology","scopus_import":"1","_id":"9470","oa":1,"intvolume":" 30","tmp":{"short":"CC BY-NC (4.0)","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","image":"/images/cc_by_nc.png","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode"},"citation":{"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.","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.","short":"E.L. Berdan, A. Blanckaert, T. Slotte, A. Suh, A.M. Westram, I. Fragata, Molecular Ecology 30 (2021) 2710–2723.","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","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."},"date_published":"2021-06-01T00:00:00Z","quality_controlled":"1","title":"Unboxing mutations: Connecting mutation types with evolutionary consequences","project":[{"grant_number":"797747","_id":"265B41B8-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Theoretical and empirical approaches to understanding Parallel Adaptation"}],"publication_identifier":{"issn":["09621083"],"eissn":["1365294X"]},"month":"06","ec_funded":1,"year":"2021","oa_version":"Published Version","date_updated":"2023-08-08T13:59:18Z","status":"public","license":"https://creativecommons.org/licenses/by-nc/4.0/","external_id":{"isi":["000652056400001"]},"author":[{"last_name":"Berdan","first_name":"Emma L.","full_name":"Berdan, Emma L."},{"first_name":"Alexandre","last_name":"Blanckaert","full_name":"Blanckaert, Alexandre"},{"last_name":"Slotte","first_name":"Tanja","full_name":"Slotte, Tanja"},{"full_name":"Suh, Alexander","last_name":"Suh","first_name":"Alexander"},{"orcid":"0000-0003-1050-4969","first_name":"Anja M","last_name":"Westram","full_name":"Westram, Anja M","id":"3C147470-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Inês","last_name":"Fragata","full_name":"Fragata, Inês"}],"issue":"12","ddc":["570"],"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).","page":"2710-2723","has_accepted_license":"1","doi":"10.1111/mec.15936","type":"journal_article"}