{"title":"Can We Use Genomic Data to Predict Maladaptation to Environmental Change?","authors":"Christian Rellstab, Stephen R Keller","doi":"10.1111/1755-0998.14059","DOIUrl":null,"url":null,"abstract":"<p><p>Climate change is happening fast, maybe too fast for some species and populations to adapt in time. Therefore, practice and science are highly interested in predicting how populations may react to future changes. Such information could be used to identify populations at risk or sources for assisted gene flow. Ideally, such predictions account for intraspecific genetic variation and adaptation. A promising approach is genomic offset, which aims at predicting the disruption to adaptation arising from environmental change. In this issue of Molecular Ecology Resources, Lind and Lotterhos (2024) perform an enormous simulation effort to test the performance of genomic offset under various evolutionary and ecological settings. They show that genomic offset is a valuable approach for predicting fitness under changed environments, but that performance can be reduced under certain conditions, especially under highly novel environments.</p>","PeriodicalId":211,"journal":{"name":"Molecular Ecology Resources","volume":" ","pages":"e14059"},"PeriodicalIF":5.5000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Ecology Resources","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/1755-0998.14059","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Climate change is happening fast, maybe too fast for some species and populations to adapt in time. Therefore, practice and science are highly interested in predicting how populations may react to future changes. Such information could be used to identify populations at risk or sources for assisted gene flow. Ideally, such predictions account for intraspecific genetic variation and adaptation. A promising approach is genomic offset, which aims at predicting the disruption to adaptation arising from environmental change. In this issue of Molecular Ecology Resources, Lind and Lotterhos (2024) perform an enormous simulation effort to test the performance of genomic offset under various evolutionary and ecological settings. They show that genomic offset is a valuable approach for predicting fitness under changed environments, but that performance can be reduced under certain conditions, especially under highly novel environments.
期刊介绍:
Molecular Ecology Resources promotes the creation of comprehensive resources for the scientific community, encompassing computer programs, statistical and molecular advancements, and a diverse array of molecular tools. Serving as a conduit for disseminating these resources, the journal targets a broad audience of researchers in the fields of evolution, ecology, and conservation. Articles in Molecular Ecology Resources are crafted to support investigations tackling significant questions within these disciplines.
In addition to original resource articles, Molecular Ecology Resources features Reviews, Opinions, and Comments relevant to the field. The journal also periodically releases Special Issues focusing on resource development within specific areas.