Biology Department, Pennsylvania State University, University Park, PA, USA.
Nat Ecol Evol. 2019 Feb;3(2):274-285. doi: 10.1038/s41559-018-0754-5. Epub 2019 Jan 14.
The environment imposes critical selective forces on all living organisms, and the sessile nature of plants makes them particularly useful for investigating the relationship between genetic variation and environmental adaptation. In the model plant Arabidopsis thaliana, extensive information on phenotypic and genotypic variation is available, but comparable information on environmental variation within the native range of the species is lacking. Here, we compile 204 geoclimatic variables to describe the local environments of Arabidopsis accessions with known collection sites encompassing a wide geo-environmental range, and fully sequenced genomes from the 1001 Genomes Project. We identify candidate adaptive genetic variation associated with these environmental variables, and validate this approach through comparison with previous experimental studies, and by targeted confirmation of a role of the heterotrimeric G-protein γ subunit, AGG3, in cold tolerance, as newly predicted from our environmental genome wide association study (GWAS). To facilitate identification of adaptive variation, we created Arabidopsis CLIMtools : interactive web-based databases of the environment × genome associations and correlations between the local environments and 131 phenotypes compiled from previous experimental GWASs. Our study presents an extensive analysis of the local environments, landscape genomics and phenotypic variation of Arabidopsis, and illustrates how 'in silico GWAS' approaches can inform and complement experimental phenomics studies.
环境对所有生物都施加了关键的选择压力,而植物的固着特性使它们特别适合研究遗传变异与环境适应之间的关系。在模式植物拟南芥中,有大量关于表型和基因型变异的信息,但在该物种的本地范围内,关于环境变异的可比信息却很缺乏。在这里,我们编译了 204 个地理气候变量,以描述具有已知采集地点的拟南芥品系的本地环境,这些地点涵盖了广泛的地理环境范围,并且拥有 1001 基因组计划的全基因组测序。我们确定了与这些环境变量相关的候选适应性遗传变异,并通过与先前的实验研究进行比较,以及通过靶向确认三磷酸鸟苷结合蛋白 γ 亚基(AGG3)在耐冷性中的作用来验证这种方法,这是我们从环境全基因组关联研究(GWAS)中最新预测的。为了方便识别适应性变异,我们创建了拟南芥 CLIMtools:环境与基因组关联的交互式网络数据库,以及从以前的实验 GWAS 中编译的本地环境与 131 个表型之间的相关性。我们的研究对拟南芥的本地环境、景观基因组学和表型变异进行了广泛的分析,并说明了“计算机 GWAS”方法如何为实验表型组学研究提供信息和补充。