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利用大规模基因组学提高面包小麦的产量、抗逆性和品质。

Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics.

机构信息

International Maize And Wheat Improvement Center (CIMMYT), Texcoco, Mexico.

Wheat Genetics Resource Center, Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.

出版信息

Nat Genet. 2019 Oct;51(10):1530-1539. doi: 10.1038/s41588-019-0496-6. Epub 2019 Sep 23.

Abstract

Bread wheat improvement using genomic tools is essential for accelerating trait genetic gains. Here we report the genomic predictabilities of 35 key traits and demonstrate the potential of genomic selection for wheat end-use quality. We also performed a large genome-wide association study that identified several significant marker-trait associations for 50 traits evaluated in South Asia, Africa and the Americas. Furthermore, we built a reference wheat genotype-phenotype map, explored allele frequency dynamics over time and fingerprinted 44,624 wheat lines for trait-associated markers, generating over 7.6 million data points, which together will provide a valuable resource to the wheat community for enhancing productivity and stress resilience.

摘要

利用基因组工具改良面包小麦对于加速性状遗传增益至关重要。在这里,我们报告了 35 个关键性状的基因组预测能力,并展示了基因组选择在小麦用途品质方面的潜力。我们还进行了一项大型全基因组关联研究,鉴定了在南亚、非洲和美洲评估的 50 个性状的几个显著的标记-性状关联。此外,我们构建了一个参考小麦基因型-表型图谱,探索了随时间变化的等位基因频率动态,并为与性状相关的标记对 44624 个小麦品系进行了指纹识别,生成了超过 760 万个数据点,这些数据点将为提高小麦生产力和抗逆性提供宝贵的资源,共同为小麦社区提供宝贵的资源。

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