Rellstab Christian, Keller Stephen R
Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Department of Plant Biology, University of Vermont, Burlington, Vermont, USA.
Mol Ecol Resour. 2025 May;25(4):e14059. doi: 10.1111/1755-0998.14059. Epub 2024 Dec 26.
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.
气候变化正在迅速发生,或许对某些物种和种群来说太快了,以至于它们无法及时适应。因此,实践和科学界对预测种群对未来变化的反应高度关注。此类信息可用于识别濒危种群或辅助基因流动的来源。理想情况下,此类预测会考虑种内遗传变异和适应性。一种很有前景的方法是基因组偏移,其旨在预测环境变化对适应性造成的破坏。在本期《分子生态学资源》中,林德和洛特霍斯(2024年)进行了大量模拟工作,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合度的一种有价值的方法,但在某些条件下,尤其是在高度新奇的环境下,其表现可能会降低。