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利用小麦 660K SNP 芯片衍生的高密度遗传图谱,对一个主要的粒数数量性状位点进行高分辨率定位。

Utilization of a Wheat660K SNP array-derived high-density genetic map for high-resolution mapping of a major QTL for kernel number.

机构信息

Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050022, China.

Genetic Improvement Centre of Agricultural and Forest Crops, College of Agriculture, Ludong Unversity, Yan'tai, 264025, China.

出版信息

Sci Rep. 2017 Jun 19;7(1):3788. doi: 10.1038/s41598-017-04028-6.

Abstract

In crop plants, a high-density genetic linkage map is essential for both genetic and genomic researches. The complexity and the large size of wheat genome have hampered the acquisition of a high-resolution genetic map. In this study, we report a high-density genetic map based on an individual mapping population using the Affymetrix Wheat660K single-nucleotide polymorphism (SNP) array as a probe in hexaploid wheat. The resultant genetic map consisted of 119 566 loci spanning 4424.4 cM, and 119 001 of those loci were SNP markers. This genetic map showed good collinearity with the 90 K and 820 K consensus genetic maps and was also in accordance with the recently released wheat whole genome assembly. The high-density wheat genetic map will provide a major resource for future genetic and genomic research in wheat. Moreover, a comparative genomics analysis among gramineous plant genomes was conducted based on the high-density wheat genetic map, providing an overview of the structural relationships among theses gramineous plant genomes. A major stable quantitative trait locus (QTL) for kernel number per spike was characterized, providing a solid foundation for the future high-resolution mapping and map-based cloning of the targeted QTL.

摘要

在作物中,高密度遗传图谱对于遗传和基因组研究都是必不可少的。小麦基因组的复杂性和庞大尺寸阻碍了高分辨率遗传图谱的获取。在本研究中,我们报告了一个基于个体作图群体的高密度遗传图谱,该图谱使用 Affymetrix Wheat660K 单核苷酸多态性 (SNP) 芯片作为六倍体小麦的探针。所得遗传图谱包含 119566 个位点,覆盖 4424.4 cM,其中 119001 个位点为 SNP 标记。该遗传图谱与 90K 和 820K 共识遗传图谱具有良好的共线性,也与最近发布的小麦全基因组组装一致。高密度小麦遗传图谱将为小麦未来的遗传和基因组研究提供重要资源。此外,基于高密度小麦遗传图谱对禾本科植物基因组进行了比较基因组学分析,概述了这些禾本科植物基因组之间的结构关系。一个主要的稳定的穗粒数数量性状位点 (QTL) 被表征,为目标 QTL 的未来高分辨率作图和基于图谱的克隆提供了坚实的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be52/5476560/ed630ddb6f18/41598_2017_4028_Fig1_HTML.jpg

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