Can We Use Genomic Data to Predict Maladaptation to Environmental Change?

IF 5.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Christian Rellstab, Stephen R Keller
{"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.

我们可以用基因组数据预测对环境变化的不适应吗?
气候变化发生得很快,也许太快了,一些物种和种群无法及时适应。因此,实践和科学对预测人口对未来变化的反应非常感兴趣。这些信息可用于确定处于危险中的种群或辅助基因流动的来源。理想情况下,这样的预测可以解释种内遗传变异和适应。一种有希望的方法是基因组抵消,其目的是预测环境变化对适应的破坏。在本期的《分子生态资源》中,Lind和Lotterhos(2024)进行了大量的模拟工作,以测试基因组偏移在各种进化和生态环境下的表现。他们表明,基因组偏移是预测变化环境下适应性的一种有价值的方法,但在某些条件下,尤其是在高度新颖的环境下,这种表现可能会降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Molecular Ecology Resources
Molecular Ecology Resources 生物-进化生物学
CiteScore
15.60
自引率
5.20%
发文量
170
审稿时长
3 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信