International Maize and Wheat Improvement Center (CIMMYT), Carretera Mex-Veracruz, Texcoco, CP, Mexico.
Methods Mol Biol. 2022;2481:341-351. doi: 10.1007/978-1-0716-2237-7_19.
With the advancements in next-generation sequencing technologies, leading to millions of single nucleotide polymorphisms in all crop species including wheat, genome-wide association study (GWAS) has become a leading approach for trait dissection. In wheat, GWAS has been conducted for a plethora of traits and more and more studies are being conducted and reported in journals. While application of GWAS has become a routine in wheat using the standardized approaches, there has been a great leap forward using newer models and combination of GWAS with other sets of data. This chapter has reviewed all these latest advancements in GWAS in wheat by citing the most important studies and their outputs. Specially, we have focused on studies that conducted meta-GWAS, multilocus GWAS, haplotype-based GWAS, Environmental- and Eigen-GWAS, and/or GWAS combined with gene regulatory network and pathway analyses or epistatic interactions analyses; all these have taken the association mapping approach to new heights in wheat.
随着下一代测序技术的进步,导致包括小麦在内的所有作物物种的数百万个单核苷酸多态性,全基因组关联研究(GWAS)已成为性状剖析的主要方法。在小麦中,已经针对大量性状进行了 GWAS,并且越来越多的研究正在进行并在期刊上报道。虽然使用标准化方法,GWAS 在小麦中的应用已成为常规,但使用更新的模型以及将 GWAS 与其他数据集相结合已经取得了巨大飞跃。本章通过引用最重要的研究及其成果,综述了小麦中 GWAS 的所有最新进展。特别是,我们专注于进行元 GWAS、多基因座 GWAS、基于单倍型的 GWAS、环境和 Eigen-GWAS 以及/或与基因调控网络和途径分析或上位性相互作用分析相结合的 GWAS 的研究;所有这些都将关联作图方法提升到了小麦研究的新高度。