Simon Noah M, Kim Yujin, Bautista Diana M, Dutton James R, Brem Rachel B
bioRxiv. 2024 Jul 20:2023.07.18.549406. doi: 10.1101/2023.07.18.549406.
A key goal of evolutionary genomics is to harness molecular data to draw inferences about selective forces that have acted on genomes. The field progresses in large part through the development of advanced molecular-evolution analysis methods. Here we explored the intersection between classical sequence-based tests for selection and an empirical expression-based approach, using stem cells from subspecies as a model. Using a test of directional, -regulatory evolution across genes in pathways, we discovered a unique program of induction of translation genes in stem cells of the Southeast Asian mouse relative to its sister taxa. We then mined population-genomic sequences to pursue underlying regulatory mechanisms for this expression divergence, finding robust evidence for alleles unique to at the upstream regions of the translation genes. We interpret our data under a model of changes in lineage-specific pressures across in stem cells with high translational capacity. Our findings underscore the rigor of integrating expression and sequence-based methods to generate hypotheses about evolutionary events from long ago.
进化基因组学的一个关键目标是利用分子数据来推断作用于基因组的选择力。该领域的进展在很大程度上依赖于先进的分子进化分析方法的发展。在这里,我们以亚种的干细胞为模型,探索了基于经典序列的选择测试与基于经验表达的方法之间的交叉点。通过对通路中基因的定向、调控进化进行测试,我们发现相对于其姐妹分类群,东南亚小鼠干细胞中翻译基因的诱导程序具有独特性。然后,我们挖掘群体基因组序列以探寻这种表达差异的潜在调控机制,发现在翻译基因上游区域存在对该亚种独特的等位基因的有力证据。我们在具有高翻译能力的干细胞中,根据谱系特异性压力变化的模型来解释我们的数据。我们的研究结果强调了整合基于表达和序列的方法以生成关于久远进化事件假设的严谨性。