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High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6.

Authors :
Qiu-Hong Wu
Yong-Xing Chen
Sheng-Hui Zhou
Lin Fu
Jiao-Jiao Chen
Yao Xiao
Dong Zhang
Shu-Hong Ouyang
Xiao-Jie Zhao
Yu Cui
De-Yun Zhang
Yong Liang
Zhen-Zhong Wang
Jing-Zhong Xie
Jin-Xia Qin
Guo-Xin Wang
De-Lin Li
Yin-Lian Huang
Mei-Hua Yu
Ping Lu
Li-Li Wang
Ling Wang
Hao Wang
Chen Dang
Jie Li
Yan Zhang
Hui-Ru Peng
Cheng-Guo Yuan
Ming-Shan You
Qi-Xin Sun
Ji-Rui Wang
Li-Xin Wang
Ming-Cheng Luo
Jun Han
Zhi-Yong Liu
Source :
PLoS ONE, Vol 10, Iss 2, p e0118144 (2015)
Publication Year :
2015
Publisher :
Public Library of Science (PLoS), 2015.

Abstract

High-density genetic linkage maps are necessary for precisely mapping quantitative trait loci (QTLs) controlling grain shape and size in wheat. By applying the Infinium iSelect 9K SNP assay, we have constructed a high-density genetic linkage map with 269 F 8 recombinant inbred lines (RILs) developed between a Chinese cornerstone wheat breeding parental line Yanda1817 and a high-yielding line Beinong6. The map contains 2431 SNPs and 128 SSR & EST-SSR markers in a total coverage of 3213.2 cM with an average interval of 1.26 cM per marker. Eighty-eight QTLs for thousand-grain weight (TGW), grain length (GL), grain width (GW) and grain thickness (GT) were detected in nine ecological environments (Beijing, Shijiazhuang and Kaifeng) during five years between 2010-2014 by inclusive composite interval mapping (ICIM) (LOD ≥ 2.5). Among which, 17 QTLs for TGW were mapped on chromosomes 1A, 1B, 2A, 2B, 3A, 3B, 3D, 4A, 4D, 5A, 5B and 6B with phenotypic variations ranging from 2.62% to 12.08%. Four stable QTLs for TGW could be detected in five and seven environments, respectively. Thirty-two QTLs for GL were mapped on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 4A, 4B, 4D, 5A, 5B, 6B, 7A and 7B, with phenotypic variations ranging from 2.62% to 44.39%. QGl.cau-2A.2 can be detected in all the environments with the largest phenotypic variations, indicating that it is a major and stable QTL. For GW, 12 QTLs were identified with phenotypic variations range from 3.69% to 12.30%. We found 27 QTLs for GT with phenotypic variations ranged from 2.55% to 36.42%. In particular, QTL QGt.cau-5A.1 with phenotypic variations of 6.82-23.59% was detected in all the nine environments. Moreover, pleiotropic effects were detected for several QTL loci responsible for grain shape and size that could serve as target regions for fine mapping and marker assisted selection in wheat breeding programs.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
10
Issue :
2
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.6369103f499e444189d38ba132e0e318
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0118144