A Genome-Wide Association Study Reveals a Rich Genetic Architecture of Flour Color-Related Traits in Bread Wheat

被引:25
|
作者
Zhai, Shengnan [1 ,2 ]
Liu, Jindong [2 ]
Xu, Dengan [2 ]
Wen, Weie [2 ]
Yan, Jun [2 ,3 ]
Zhang, Pingzhi [4 ]
Wan, Yingxiu [4 ]
Cao, Shuanghe [2 ]
Hao, Yuanfeng [2 ]
Xia, Xianchun [2 ]
Ma, Wujun [5 ,6 ]
He, Zhonghu [2 ,7 ]
机构
[1] Shandong Acad Agr Sci, Key Lab Wheat Biol & Genet Improvement Northern Y, Natl Engn Lab Wheat & Maize, Minist Agr,Crop Res Inst, Jinan, Shandong, Peoples R China
[2] Chinese Acad Agr Sci, Inst Crop Sci, Natl Wheat Improvement Ctr, Beijing, Peoples R China
[3] Chinese Acad Agr Sci, Inst Cotton Res, Anyang, Peoples R China
[4] Anhui Acad Agr Sci, Crop Res Inst, Hefei, Anhui, Peoples R China
[5] Murdoch Univ, Sch Vet & Life Sci, Perth, WA, Australia
[6] Australian Export Grains Innovat Ctr, Perth, WA, Australia
[7] Int Maize & Wheat Improvement Ctr, Beijing, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
brightness (L*); candidate gene; GWAS; redness (a*); yellowness (b*); yellow pigment content (YPC); YELLOW PIGMENT CONTENT; TRITICUM-AESTIVUM L; B-ASTERISK COLOR; DURUM-WHEAT; COMMON WHEAT; FUNCTIONAL MARKERS; ALLELIC VARIANTS; COMPLEX TRAITS; QTL ANALYSIS; MAIZE;
D O I
10.3389/fpls.2018.01136
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Flour color-related traits, including brightness (L*), redness (a*), yellowness (b*) and yellow pigment content (YPC), are very important for end-use quality of wheat. Uncovering the genetic architecture of these traits is necessary for improving wheat quality by marker-assisted selection (MAS). In the present study, a genome-wide association study (GWAS) was performed on a collection of 166 bread wheat cultivars to better understand the genetic architecture of flour color-related traits using the wheat 90 and 660 K SNP arrays, and 10 allele-specific markers for known genes influencing these traits. Fifteen, 28, 25, and 32 marker-trait associations (MTAs) for L*, a*, b*, and YPC, respectively, were detected, explaining 6.5-20.9% phenotypic variation. Seventy-eight loci were consistent across all four environments. Compared with previous studies, Psy-A1, Psy-B1, Pinb-D1, and the 1B.1R translocation controlling flour color-related traits were confirmed, and four loci were novel. Two and 11 loci explained much more phenotypic variation of a* and YPC than phytoene synthase 1 gene (Psy1), respectively. Sixteen candidate genes were predicted based on biochemical information and bioinformatics analyses, mainly related to carotenoid biosynthesis and degradation, terpenoid backbone biosynthesis and glycolysis/gluconeogenesis. The results largely enrich our knowledge of the genetic basis of flour color-related traits in bread wheat and provide valuable markers for wheat quality improvement. The study also indicated that GWAS was a powerful strategy for dissecting flour color-related traits and identifying candidate genes based on diverse genotypes and high-throughput SNP arrays.
引用
收藏
页数:13
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