Qi Cheng, Wei Qiang, Ye Yuting, Liu Jing, Li Guishuang, Liang Jane W, Huang Haiyan, Wu Guang
College of Life Science, Shaanxi Normal University, Xi'an 710119, China.
Department of Statistics, University of California, Berkeley, CA 94720, USA.
Int J Mol Sci. 2024 Dec 22;25(24):13710. doi: 10.3390/ijms252413710.
Functional divergences of coding genes can be caused by divergences in their coding sequences and expression. However, whether and how expression divergences and coding sequence divergences coevolve is not clear. Gene expression divergences in differentiated cells and tissues recapitulate developmental models within a species, while gene expression divergences between analogous cells and tissues resemble traditional phylogenies in different species, suggesting that gene expression divergences are molecular traits that can be used for evolutionary studies. Using transcriptomes and evolutionary proxies to study gene expression divergences among differentiated cells and tissues in , expression divergences of coding genes are shown to be strongly anti-correlated with phylostrata (gene ages), indicators of selective constraint Ka/Ks (nonsynonymous replacement rate/synonymous substitution rate) and indicators of positive selection (frequency of loci with Ka/Ks > 1), but only weakly or not correlated with indicators of neutral selection (Ks). Our results thus suggest that expression divergences largely coevolve with coding sequence divergences, suggesting that expression divergences of coding genes are selectively fixed by natural selection but not neutral selection, which provides a molecular framework for trait diversification, functional adaptation and speciation. Our findings therefore support that positive selection rather than negative or neutral selection is a major driver for the origin and evolution of genes, supporting the Darwinian theory at molecular levels.
编码基因的功能分化可能由其编码序列和表达的分化引起。然而,表达分化和编码序列分化是否以及如何共同进化尚不清楚。分化细胞和组织中的基因表达分化概括了一个物种内的发育模式,而类似细胞和组织之间的基因表达分化类似于不同物种中的传统系统发育,这表明基因表达分化是可用于进化研究的分子特征。利用转录组和进化代理来研究[具体物种]中分化细胞和组织之间的基因表达分化,编码基因的表达分化显示出与系统发育层级(基因年龄)、选择约束指标Ka/Ks(非同义替换率/同义替换率)和正选择指标(Ka/Ks>1的位点频率)强烈负相关,但与中性选择指标(Ks)仅呈弱相关或不相关。因此,我们的结果表明,表达分化在很大程度上与编码序列分化共同进化,这表明编码基因的表达分化是由自然选择而非中性选择选择性固定的,这为性状多样化、功能适应和物种形成提供了一个分子框架。因此,我们的发现支持正选择而非负选择或中性选择是[具体物种]基因起源和进化的主要驱动力,在分子水平上支持了达尔文理论。