Predicting genotypes environmental range from genome-environment associations

Genome-environment association methods aim to detect genetic markers associated with environmental variables. The detected associations are usually analysed separately to identify the genomic regions involved in local adaptation. However, a recent study suggests that single-locus associations can be combined and used in a predictive way to estimate environmental variables for new individuals on the basis of their genotypes. Here, we introduce an original approach to predict the environmental range (values and upper and lower limits) of species genotypes from the genetic markers significantly associated with those environmental variables in an independent set of individuals. We illustrate this approach to predict aridity in a database constituted of 950 individuals of wild beets and 299 individuals of cultivated beets genotyped at 14,409 random Single Nucleotide Polymorphisms (SNPs). We detected 66 alleles associated with aridity and used them to calculate the fraction (I) of aridity-ass...基因组-环境关联（Genome-environment association）方法旨在检测与环境变量相关的遗传标记。常规做法是单独分析所检出的关联，以甄别参与本地适应的基因组区域。然而，近期一项研究表明，单基因座关联可被整合并以预测性路径，基于新个体的基因型估算其所处的环境变量。本文提出一种原创方法，可通过独立个体群体中与上述环境变量显著相关的遗传标记，预测物种基因型的环境范围（包括数值及其上下限）。我们以一个数据库为例展示该方法的应用：该数据库包含950份野生甜菜与299份栽培甜菜的样本，所有样本均通过14409个随机单核苷酸多态性（Single Nucleotide Polymorphisms, SNPs）完成基因分型。我们共检测到66个与干旱度相关的等位基因，并利用这些等位基因计算干旱度相关的...（原文后续内容未完整给出）