Determining the evolutionary forces shaping genotype-by-environment interactions

确定塑造基因型与环境相互作用的进化力量

• 批准号: 10461190
• 负责人: Emily Josephs
• 金额: $ 38.35万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-03 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10461190
• 关键词: Address; Data Set; Environment; Evolution; Gene Frequency; Genes; Genetic Diseases; Genetic Variation; Genomics; Genotype; Human; Maintenance; Medical; Methods; Phenotype; Play; Population; Prevalence; Process; Research Personnel; Role; Shapes; System; Testing; Variant; Work; response; trait; transcriptomics

PROJECT SUMMARY Understanding how evolutionary forces shape genetic variation for quantitative traits is crucial for determining the prevalence of genetic disease in human populations. Despite numerous examples that genotype-by-environment interactions (GxE) are important for the maintenance of variation for biologically and medically important traits, we lack a clear understanding of the role that GxE plays in shaping genetic variation and of the evolutionary processes that shape GxE. In particular two broad processes could contribute to GxE: local adaptation for plastic responses and variation in selective constraint across environments. The proposed work evaluates the importance of these two evolutionary processes in shaping GxE in natural populations. We will leverage large genomic, transcriptomic, and phenotypic datasets in systems where identical genotypes can be phenotyped across multiple biologically-realistic environments. First, we will use an extension of a test previously developed by the PI to look for evidence of local adaptation shaping genetic variation for plastic responses, contributing to GxE. Next, we will develop a new analysis looking for a covariance between allele frequency and environment-specific effect sizes, consistent with the hypothesis that variation in selective constraint shapes GxE. Finally, we will test the hypothesis that relaxed selective constraint on rarely-expressed plastic responses limits the evolution of adaptive plasticity by testing for evidence of reduced negative selection on genes that are only expressed in specific environments. Overall, this work will determine the evolutionary processes that shape GxE, filling a crucial gap in our understanding of the maintenance of variation for quantitative traits and providing methods that will be useful to researchers in a variety of systems.

项目总结