Genetic dissection of major QTL for grain number per spike on chromosomes 5A and 6A in bread wheat (Triticum aestivum L.)

被引:0
作者
Jiang, Cheng [1 ,2 ,3 ]
Xu, Zhibin [1 ]
Fan, Xiaoli [1 ]
Zhou, Qiang [1 ]
Ji, Guangsi [1 ,3 ]
Liao, Simin [1 ,3 ]
Wang, Yanlin [1 ,3 ]
Ma, Fang [1 ,3 ]
Zhao, Yun [2 ]
Wang, Tao [1 ,4 ]
Feng, Bo [1 ]
机构
[1] Chinese Acad Sci, Chengdu Inst Biol, Chengdu, Peoples R China
[2] Sichuan Univ, Coll Life Sci, Chengdu, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
[4] Chinese Acad Sci, Innovat Acad Seed Design, Beijing, Peoples R China
来源
FRONTIERS IN PLANT SCIENCE | 2024年 / 14卷
基金
中国科学院西部之光基金;
关键词
QTL mapping; BSE-Seq; grain number per spike; haplotype analysis; wheat; QUANTITATIVE TRAIT LOCI; YIELD COMPONENTS; SYNTHETIC WHEAT; FLORAL ORGAN; CROSS; TEOSINTE-BRANCHED1; TRANSCRIPTION; ARCHITECTURE; BARLEY; AUXIN;
D O I
10.3389/fpls.2023.1305547
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Grain number per spike (GNS) is a crucial component of grain yield and plays a significant role in improving wheat yield. To identify quantitative trait loci (QTL) associated with GNS, a recombinant inbred line (RIL) population derived from the cross of Zhongkemai 13F10 and Chuanmai 42 was employed to conduct QTL mapping across eight environments. Based on the bulked segregant exome sequencing (BSE-Seq), genomic regions associated with GNS were detected on chromosomes 5A and 6A. According to the constructed genetic maps, two major QTL QGns.cib-5A (LOD = 4.35-8.16, PVE = 8.46-14.43%) and QGns.cib-6A (LOD = 3.82-30.80, PVE = 5.44-12.38%) were detected in five and four environments, respectively. QGns.cib-6A is a QTL cluster for other seven yield-related traits. QGns.cib-5A and QGns.cib-6A were further validated using linked Kompetitive Allele Specific PCR (KASP) markers in different genetic backgrounds. QGns.cib-5A exhibited pleiotropic effects on productive tiller number (PTN), spike length (SL), fertile spikelet number per spike (FSN), and ratio of grain length to grain width (GL/GW) but did not significantly affect thousand grain weight (TGW). Haplotype analysis revealed that QGns.cib-5A and QGns.cib-6A were the targets of artificial selection during wheat improvement. Candidate genes for QGns.cib-5A and QGns.cib-6A were predicted by analyzing gene annotation, spatiotemporal expression patterns, and orthologous and sequence differences. These findings will be valuable for fine mapping and map-based cloning of genes underlying QGns.cib-5A and QGns.cib-6A.
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页数:14
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