Institute of Wheat, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Methods Mol Biol. 2024;2830:121-129. doi: 10.1007/978-1-0716-3965-8_11.
Genome-wide association study (GWAS) is widely used to characterize genes or quantitative trait loci (QTLs) associated with preharvest sprouting and seed dormancy. GWAS can identify both previously discovered and novel QTLs across diverse genetic panels. The high-throughput SNP arrays or next-generation sequencing technologies have facilitated the identification of numerous genetic markers, thereby significantly enhancing the resolution of GWAS. Although various methods have been developed, the fundamental principles underlying these techniques remain constant. Here, we provide a basic technological flow to perform seed dormancy assay, followed by GWAS using population structure control, and compared it with previous identified QTLs and genes.
全基因组关联研究(GWAS)广泛用于描述与收获前发芽和种子休眠相关的基因或数量性状位点(QTL)。GWAS 可以在不同的遗传面板中识别先前发现的和新的 QTL。高通量 SNP 芯片或下一代测序技术促进了众多遗传标记的鉴定,从而大大提高了 GWAS 的分辨率。尽管已经开发了各种方法,但这些技术的基本原理保持不变。在这里,我们提供了一个基本的技术流程来进行种子休眠测定,然后使用群体结构控制进行 GWAS,并将其与以前鉴定的 QTL 和基因进行比较。