Macroevolutionary divergence of gene expression driven by selection on protein abundance

• 成果类型: Article
• 署名作者: Cope, Alexander L.; Schraiber, Joshua G.; Pennell, Matt
• 署名单位: Vanderbilt University; Rutgers University System; Rutgers University New Brunswick; Rutgers University System; Rutgers University New Brunswick; Rutgers University System; Rutgers University New Brunswick; Rutgers University Biomedical & Health Sciences; University of Southern California; Cornell University
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-13583
• DOI: 10.1126/science.ads2658
• 发表日期: 2025-03-07
• 页码: 1063-1068
• 关键词: stabilizing selection; rna; variability; EVOLUTION; MODEL

摘要

The regulation of messenger RNA (mRNA) and protein abundances is well-studied, but less is known about the evolutionary processes shaping their relationship. To address this, we derived a new phylogenetic model and applied it to multispecies mammalian data. Our analyses reveal (i) strong stabilizing selection on protein abundances over macroevolutionary time, (ii) mutations affecting mRNA abundances minimally impact protein abundances, (iii) mRNA abundances evolve under selection to align with protein abundances, and (iv) mRNA abundances adapt faster than protein abundances owing to greater mutational opportunity. These conclusions are supported by comparisons of model parameters with independent functional genomic data. By decomposing mutational and selective influences on mRNA-protein dynamics, our approach provides a framework for discovering the evolutionary rules that drive divergence in gene expression.