Petak Csenge, Frati Lapo, Brennan Reid S, Pespeni Melissa H
Am Nat. 2023 Oct;202(4):571-586. doi: 10.1086/726013. Epub 2023 Aug 23.
AbstractOrganisms experience environments that vary across both space and time. Such environmental heterogeneity shapes standing genetic variation and may influence species' capacity to adapt to rapid environmental change. However, we know little about the kind of genetic variation that is involved in local adaptation to environmental variability. To address this gap, we sequenced the whole genomes of 140 purple sea urchins () from seven populations that vary in their degree of pH variability. Despite no evidence of global population structure, we found a suite of single-nucleotide polymorphisms (SNPs) tightly correlated with local pH variability (outlier SNPs), which were overrepresented in regions putatively involved in gene regulation (long noncoding RNA and enhancers), supporting the idea that variation in regulatory regions is important for local adaptation to variability. In addition, outliers in genes were found to be (i) enriched for biomineralization and ion homeostasis functions related to low pH response, (ii) less central to the protein-protein interaction network, and (iii) underrepresented among genes highly expressed during early development. Taken together, these results suggest that loci that underlie local adaptation to pH variability in purple sea urchins fall in regions with potentially low pleiotropic effects (based on analyses involving regulatory regions, network centrality, and expression time) involved in low pH response (based on functional enrichment).
摘要
生物体所经历的环境在空间和时间上都是变化的。这种环境异质性塑造了现存的遗传变异,并可能影响物种适应快速环境变化的能力。然而,我们对参与局部适应环境变异性的遗传变异类型知之甚少。为了填补这一空白,我们对来自七个种群的140只紫海胆()的全基因组进行了测序,这些种群在pH变异性程度上有所不同。尽管没有全球种群结构的证据,但我们发现了一组与局部pH变异性紧密相关的单核苷酸多态性(SNP)(异常SNP),它们在假定参与基因调控的区域(长链非编码RNA和增强子)中过度富集,支持了调控区域的变异对于局部适应变异性很重要的观点。此外,发现基因中的异常值(i)在与低pH反应相关的生物矿化和离子稳态功能方面富集,(ii)在蛋白质-蛋白质相互作用网络中不那么核心,并且(iii)在早期发育过程中高表达的基因中代表性不足。综上所述,这些结果表明,紫海胆中参与局部适应pH变异性的基因座位于具有潜在低多效性效应的区域(基于涉及调控区域、网络中心性和表达时间的分析),这些区域参与低pH反应(基于功能富集)。