Chen Jun, Bataillon Thomas, Glémin Sylvain, Lascoux Martin
College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
Bioinformatics Research Centre, Aarhus University, C.F. Möllers Allé 8, Aarhus C, DK-8000, Denmark.
New Phytol. 2022 Feb;233(4):1613-1619. doi: 10.1111/nph.17826. Epub 2021 Nov 16.
The distribution of fitness effects (DFE) of new mutations plays a central role in molecular evolution. It is therefore crucial to be able to estimate it accurately from genomic data and to understand the factors that shape it. After a rapid overview of available methods to characterize the fitness effects of mutations, we review what is known on the factors affecting them in plants. Available data indicate that life history traits (e.g. mating system and longevity) have a major effect on the DFE. By contrast, the impact of demography within species appears to be more limited. These results remain to be confirmed, and methods to estimate the joint evolution of demography, life history traits, and the DFE need to be developed.
新突变的适合度效应分布(DFE)在分子进化中起着核心作用。因此,能够从基因组数据中准确估计它并了解塑造它的因素至关重要。在快速概述了用于表征突变适合度效应的现有方法之后,我们回顾了关于影响植物中这些效应的因素的已知情况。现有数据表明,生活史特征(例如交配系统和寿命)对DFE有重大影响。相比之下,物种内种群统计学的影响似乎更为有限。这些结果仍有待证实,并且需要开发估计种群统计学、生活史特征和DFE联合进化的方法。