Department of Ecology and Evolution, Princeton University, Princeton, New Jersey 08544, USA.
Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA.
Genome Res. 2022 Oct;32(10):1826-1839. doi: 10.1101/gr.276430.121. Epub 2022 Oct 13.
There is increasing appreciation that, in addition to being shaped by an individual's genotype and environment, most complex traits are also determined by poorly understood interactions between these two factors. So-called "genotype × environment" (G×E) interactions remain difficult to map at the organismal level but can be uncovered using molecular phenotypes. To do so at large scale, we used TM3'seq to profile transcriptomes across 12 cellular environments in 544 immortalized B cell lines from the 1000 Genomes Project. We mapped the genetic basis of gene expression levels across environments and revealed a context-dependent genetic architecture: The average heritability of gene expression levels increased in treatment relative to control conditions, and on average, each treatment revealed new expression quantitative trait loci (eQTLs) at 11% of genes. Across our experiments, 22% of all identified eQTLs were context-dependent, and this group was enriched for trait- and disease-associated loci. Further, evolutionary analyses suggested that positive selection has shaped G×E loci involved in responding to immune challenges and hormones but not to man-made chemicals. We hypothesize that this reflects a reduced opportunity for selection to act on responses to molecules recently introduced into human environments. Together, our work highlights the importance of considering an exposure's evolutionary history when studying and interpreting G×E interactions, and provides new insight into the evolutionary mechanisms that maintain G×E loci in human populations.
人们越来越认识到,除了受到个体基因型和环境的影响外,大多数复杂特征还取决于这两个因素之间尚未被充分了解的相互作用。所谓的“基因型×环境”(G×E)相互作用在机体水平上仍然难以映射,但可以使用分子表型来揭示。为了大规模地做到这一点,我们使用 TM3'seq 在来自 1000 基因组计划的 544 个永生 B 细胞系的 12 个细胞环境中对转录组进行了分析。我们绘制了跨环境的基因表达水平的遗传基础,并揭示了一种依赖于上下文的遗传结构:与对照条件相比,基因表达水平的平均遗传力在处理条件下增加,平均而言,每种处理在 11%的基因中揭示了新的表达数量性状基因座(eQTLs)。在我们的实验中,所有鉴定的 eQTL 中有 22%是依赖于上下文的,而这一组富集了与性状和疾病相关的基因座。此外,进化分析表明,积极选择塑造了 G×E 基因座,这些基因座参与了对免疫挑战和激素的反应,但不参与对人为化学物质的反应。我们假设这反映了选择在对人类环境中最近引入的分子的反应中发挥作用的机会减少。总之,我们的工作强调了在研究和解释 G×E 相互作用时考虑暴露的进化历史的重要性,并为维持人类群体中 G×E 基因座的进化机制提供了新的见解。