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解析大豆本地化适应的遗传基础。

Dissecting the Genetic Basis of Local Adaptation in Soybean.

机构信息

Department of Agronomy & Horticulture, University of Nebraska-Lincoln, Keim Hall, Lincoln, NE, 68583-0915, USA.

Department of Molecular Genetics and Physiology of Plants, Ruhr University Bochum, Universitätsstraße 150, 40211, Bochum, Germany.

出版信息

Sci Rep. 2017 Dec 8;7(1):17195. doi: 10.1038/s41598-017-17342-w.

Abstract

Soybean (Glycine max) is the most widely grown oilseed in the world and is an important source of protein for both humans and livestock. Soybean is widely adapted to both temperate and tropical regions, but a changing climate demands a better understanding of adaptation to specific environmental conditions. Here, we explore genetic variation in a collection of 3,012 georeferenced, locally adapted landraces from a broad geographical range to help elucidate the genetic basis of local adaptation. We used geographic origin, environmental data and dense genome-wide SNP data to perform an environmental association analysis and discover loci displaying steep gradients in allele frequency across geographical distance and between landrace and modern cultivars. Our combined application of methods in environmental association mapping and detection of selection targets provide a better understanding of how geography and selection may have shaped genetic variation among soybean landraces. Moreover, we identified several important candidate genes related to drought and heat stress, and revealed important genomic regions possibly involved in the geographic divergence of soybean.

摘要

大豆(Glycine max)是世界上种植最广泛的油料作物,也是人类和牲畜蛋白质的重要来源。大豆广泛适应于温带和热带地区,但气候变化要求更好地了解对特定环境条件的适应。在这里,我们探索了来自广泛地理范围的 3012 个具有地理定位的、本地适应的地方品种的遗传变异,以帮助阐明本地适应的遗传基础。我们使用地理起源、环境数据和密集的全基因组 SNP 数据来进行环境关联分析,并发现了在地理距离和地方品种与现代品种之间表现出等位基因频率急剧梯度的位点。我们在环境关联作图和选择靶标检测中的综合应用方法提供了更好的理解,了解地理和选择如何在大豆地方品种中塑造遗传变异。此外,我们鉴定了与干旱和热胁迫相关的几个重要候选基因,并揭示了可能参与大豆地理分化的重要基因组区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae33/5722827/4b700285f3cc/41598_2017_17342_Fig1_HTML.jpg

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