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Genomic Analysis of Vavilov’s Historic Chickpea Landraces Reveals Footprints of Environmental and Human Selection

机译:瓦维洛夫(Vavilov)历史悠久的鹰嘴豆地方品种的基因组分析揭示了环境和人类选择的足迹

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摘要

A defining challenge of the 21st century is meeting the nutritional demands of the growing human population, under a scenario of limited land and water resources and under the specter of climate change. The Vavilov seed bank contains numerous landraces collected nearly a hundred years ago, and thus may contain ‘genetic gems’ with the potential to enhance modern breeding efforts. Here, we analyze 407 landraces, sampled from major historic centers of chickpea cultivation and secondary diversification. Genome-Wide Association Studies (GWAS) conducted on both phenotypic traits and bioclimatic variables at landraces sampling sites as extended phenotypes resulted in 84 GWAS hits associated to various regions. The novel haploblock-based test identified haploblocks enriched for single nucleotide polymorphisms (SNPs) associated with phenotypes and bioclimatic variables. Subsequent bi-clustering of traits sharing enriched haploblocks underscored both non-random distribution of SNPs among several haploblocks and their association with multiple traits. We hypothesize that these clusters of pleiotropic SNPs represent co-adapted genetic complexes to a range of environmental conditions that chickpea experienced during domestication and subsequent geographic radiation. Linking genetic variation to phenotypic data and a wealth of historic information preserved in historic seed banks are the keys for genome-based and environment-informed breeding intensification.
机译:在土地和水资源有限的情况下以及在气候变化的阴影下,21世纪面临的挑战是满足不断增长的人口的营养需求。 Vavilov种子库包含近一百年前收集的众多地方品种,因此可能包含“遗传宝石”,具有增强现代育种工作的潜力。在这里,我们分析了407个地方品种,这些地方样品来自鹰嘴豆种植和次生多样化的主要历史中心。全基因组关联研究(GWAS)在地方样品采样点对表型性状和生物气候变量进行了研究,因为扩展表型导致84个与各个地区相关的GWAS命中。基于单倍体的新型测试确定了丰富的单核苷酸多态性(SNP)与表型和生物气候变量相关联的单倍体。随后共享富集单倍性状的性状的双聚类突显了SNP在几个单倍性块之间的非随机分布以及它们与多个性状的关联。我们假设这些多效性SNP簇代表了鹰嘴豆在驯化和随后的地理辐射过程中经历的一系列环境条件的适应性遗传复合体。将遗传变异与表型数据和保存在历史种子库中的大量历史信息联系起来,是基于基因组和环境信息的育种集约化的关键。

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