Environmental Association Analyses Identify Candidates for Abiotic Stress Tolerance in Glycine soja, the Wild Progenitor of Cultivated Soybeans

Understanding the genetics basis of adaption is a fundamental goal of biological research. The present study explores an ex situ conservation collection, the USDA germplasm collection, genotyped at 32,416 SNPs, to identify population structure and test for associations with bioclimatic and biophysical variables in Glycine soja, the wild progenitor of Glycine max (soybean). Candidate loci were detected that putatively contribute to adaptation to abiotic stresses.
The sampled accessions in this study are derived from the SNPs genotyped by Song et al. (2015) and catalogued in the USDA soybean germplasm collection (http://soybase.org/snps/index.php). Accessions without latitudinal and longitudinal data were excluded, as were those with greater than 10% of data missing. Additionally, eight accessions from Taiwan and Northern Russia were excluded due to those being geographical outliers. A list of accessions used in the study can be found in the data files below. Environmental association was performed using data from public repositories of global bioclimatic (WorldClim) and biophysical variables (ISRIC), and a list of the variables retrieved per accession can be found in the data files below.
Sponsorship: United Soybean Board; Minnesota Varietal Development Fund; MnDRIVE 2014 Global Food Ventures Fellowship Resources in this dataset:Resource Title: Environmental Association Analyses Identify Candidates for Abiotic Stress Tolerance in Glycine soja, the Wild Progenitor of Cultivated Soybeans. File Name: Web Page, url: https://conservancy.umn.edu/handle/11299/182430 Link to dataset in the Data Repository for the University of Minnesota (DRUM).

洞悉适应性遗传学基础乃生物研究领域之根本目标。本项研究深入探究了一处离体保存库——美国农业部种质资源库，该库在32,416个单核苷酸多态性位点（SNPs）上进行了基因分型，旨在识别Glycine soja（大豆的野生亲本）的种群结构，并检验其与生物气候和生物物理变量的相关性。研究成功检测到候选位点，这些位点可能对适应非生物胁迫具有贡献。本研究的样本基因型源自Song等（2015年）所进行的SNPs分型，并收录于美国农业部大豆种质资源库（http://soybase.org/snps/index.php）。排除无经纬度数据的样本，以及缺失数据超过10%的样本。此外，由于台湾和北俄罗斯的样本为地理异常值，故亦被排除。研究所用样本列表可于下载数据文件中查得。环境关联分析采用全球生物气候（WorldClim）和生物物理变量（ISRIC）的公共存储库数据，每个样本所检索到的变量列表亦可在下载数据文件中查阅。资助方包括：美国大豆协会；明尼苏达州品种发展基金；MnDRIVE 2014全球食品创新项目奖学金。本数据集包含的资源：资源标题：环境关联分析识别大豆野生亲本Glycine soja的非生物胁迫耐受性候选位点。文件名：网页，链接：https://conservancy.umn.edu/handle/11299/182430。数据集链接：明尼苏达大学数据存储库（DRUM）。