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利用全基因组关联研究方法鉴定软红冬小麦品质相关重要数量性状的新的主效数量性状位点。

A Genome-Wide Association Study Approach to Identify Novel Major-Effect Quantitative Trait Loci for End-Use Quality Traits in Soft Red Winter Wheat.

机构信息

Cornell Institute of Biotechnology, Cornell University, Ithaca, NY 14853, USA.

Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27606, USA.

出版信息

Genes (Basel). 2024 Sep 7;15(9):1177. doi: 10.3390/genes15091177.

DOI:10.3390/genes15091177
PMID:39336768
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11431581/
Abstract

Wheat is used for making many food products due to its diverse quality profile among different wheat classes. Since laboratory analysis of these end-use quality traits is costly and time-consuming, genetic dissection of the traits is preferential. This study used a genome-wide association study (GWAS) of ten end-use quality traits, including kernel protein, flour protein, flour yield, softness equivalence, solvent's retention capacity, cookie diameter, and top-grain, in soft red winter wheat (SRWW) adapted to US southeast. The GWAS included 266 SRWW genotypes that were evaluated in two locations over two years (2020-2022). A total of 27,466 single nucleotide markers were used, and a total of 80 significant marker-trait associations were identified. There were 13 major-effect quantitative trait loci (QTLs) explaining >10% phenotypic variance, out of which, 12 were considered to be novel. Five of the major-effect QTLs were found to be stably expressed across multiple datasets, and four showed associations with multiple traits. Candidate genes were identified for eight of the major-effect QTLs, including genes associated with starch biosynthesis and nutritional homeostasis in plants. These findings increase genetic comprehension of these end-use quality traits and could potentially be used for improving the quality of SRWW.

摘要

由于不同小麦品种之间的品质特征存在差异,小麦被广泛用于制作多种食品。由于对这些用途品质特性的实验室分析既昂贵又耗时,因此优先进行遗传解析。本研究利用全基因组关联研究(GWAS)对适应美国东南部的软红冬小麦(SRWW)的十个用途品质特性(包括籽粒蛋白、面粉蛋白、面粉产量、柔软度等价物、溶剂保持能力、饼干直径和上麦)进行了分析。GWAS 包括 266 个 SRWW 基因型,这些基因型在两年(2020-2022 年)的两个地点进行了评估。共使用了 27,466 个单核苷酸标记,共鉴定出 80 个显著的标记-性状关联。其中,有 13 个主效数量性状基因座(QTL)解释了超过 10%的表型方差,其中 12 个被认为是新的。五个主效 QTL 被发现稳定地在多个数据集上表达,并且四个 QTL 与多个性状有关联。八个主效 QTL 确定了候选基因,包括与植物中淀粉生物合成和营养平衡相关的基因。这些发现增加了对这些用途品质特性的遗传理解,并且可能有助于提高 SRWW 的品质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b4/11431581/96d1c8211952/genes-15-01177-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b4/11431581/2c7a86224e07/genes-15-01177-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b4/11431581/96d1c8211952/genes-15-01177-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b4/11431581/2c7a86224e07/genes-15-01177-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b4/11431581/96d1c8211952/genes-15-01177-g002.jpg

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