Suppr超能文献

利用系统发育比较分析进行遗传同化测试:概念、方法和统计考虑。

Testing for genetic assimilation with phylogenetic comparative analysis: Conceptual, methodological, and statistical considerations.

机构信息

Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana, 70118.

Department of Biology, University of Massachusetts Boston, Boston, Massachusetts, 02125.

出版信息

Evolution. 2022 Sep;76(9):1942-1952. doi: 10.1111/evo.14570. Epub 2022 Jul 26.

Abstract

Genetic assimilation is a process that leads to reduced phenotypic plasticity during adaptation to novel conditions, a potentially important phenomenon under global environmental change. Null expectations when testing for genetic assimilation, however, are not always clear. For instance, the statistical artifact of regression to the mean could bias us toward detecting genetic assimilation when it has not occurred. Likewise, the specific mechanism underlying plasticity expression may affect null expectations under neutral evolution. We used macroevolutionary numerical simulations to examine both of these important issues and their interaction, varying whether plasticity evolves, the evolutionary mechanism, trait measurement error, and experimental design. We also modified an existing reaction norm correction method to account for phylogenetic nonindependence. We found (1) regression to the mean is pervasive and can generate spurious support for genetic assimilation; (2) experimental design and post hoc correction can minimize this spurious effect; and (3) neutral evolution can produce patterns consistent with genetic assimilation without constraint or selection, depending on the mechanism of plasticity expression. Additionally, we reanalyzed published macroevolutionary data supporting genetic assimilation, and found that support was reduced after proper correction. Considerable caution is thus required whenever investigating genetic assimilation and reaction norm evolution at macroevolutionary scales.

摘要

遗传同化是一种导致在适应新环境条件时表型可塑性降低的过程,这是全球环境变化下一个潜在的重要现象。然而,在检验遗传同化时,零假设并不总是明确的。例如,回归平均值的统计假象可能会使我们倾向于在没有发生遗传同化时检测到它。同样,可塑性表达的具体机制也可能会影响中性进化下的零假设。我们使用宏观进化数值模拟来研究这两个重要问题及其相互作用,包括可塑性是否进化、进化机制、性状测量误差和实验设计。我们还修改了现有的反应规范校正方法,以考虑系统发育非独立性。我们发现:1. 回归平均值是普遍存在的,可能会产生对遗传同化的虚假支持;2. 实验设计和事后校正可以最小化这种虚假效应;3. 中性进化可以产生与遗传同化一致的模式,而无需约束或选择,这取决于可塑性表达的机制。此外,我们重新分析了支持遗传同化的已发表的宏观进化数据,发现适当校正后支持减少了。因此,在宏观进化尺度上研究遗传同化和反应规范进化时,需要非常谨慎。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验