Wu Qiu-Hong, Chen Yong-Xing, Zhou Sheng-Hui, Fu Lin, Chen Jiao-Jiao, Xiao Yao, Zhang Dong, Ouyang Shu-Hong, Zhao Xiao-Jie, Cui Yu, Zhang De-Yun, Liang Yong, Wang Zhen-Zhong, Xie Jing-Zhong, Qin Jin-Xia, Wang Guo-Xin, Li De-Lin, Huang Yin-Lian, Yu Mei-Hua, Lu Ping, Wang Li-Li, Wang Ling, Wang Hao, Dang Chen, Li Jie, Zhang Yan, Peng Hui-Ru, Yuan Cheng-Guo, You Ming-Shan, Sun Qi-Xin, Wang Ji-Rui, Wang Li-Xin, Luo Ming-Cheng, Han Jun, Liu Zhi-Yong
State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.
Department of Plant Sciences, University of California at Davis, Davis 95616, United States of America; Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, China.
PLoS One. 2015 Feb 12;10(2):e0118144. doi: 10.1371/journal.pone.0118144. eCollection 2015.
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.
高密度遗传连锁图谱对于精确绘制控制小麦粒形和大小的数量性状位点（QTL）至关重要。通过应用Infinium iSelect 9K SNP分析，我们构建了一张高密度遗传连锁图谱，该图谱基于中国重要小麦育种亲本系偃大1817和一个高产系北农6杂交产生的269个F8重组自交系（RIL）构建而成。该图谱包含2431个SNP以及128个SSR和EST-SSR标记，总覆盖长度为3213.2 cM，标记平均间隔为1.26 cM。在2010年至2014年的五年间，通过包容性复合区间作图法（ICIM）（LOD≥2.5），在九个生态环境（北京、石家庄和开封）中检测到了88个控制千粒重（TGW）、粒长（GL）、粒宽（GW）和粒厚（GT）的QTL。其中，17个控制千粒重的QTL定位在1A、1B、2A、2B、3A、3B、3D、4A、4D、5A、5B和6B染色体上，表型变异范围为2.62%至12.08%。分别在五个和七个环境中检测到了四个稳定的控制千粒重的QTL。32个控制粒长的QTL定位在1B、1D、2A、2B、2D、3B、3D、4A、4B、4D、5A、5B、6B、7A和7B染色体上，表型变异范围为2.62%至44.39%。QGl.cau - 2A.2在所有环境中均可检测到，且表型变异最大，表明它是一个主效且稳定的QTL。对于粒宽，鉴定出12个QTL，表型变异范围为3.69%至12.30%。我们发现27个控制粒厚的QTL，表型变异范围为2.55%至36.42%。特别是，在所有九个环境中均检测到表型变异为6.82 - 23.59%的QTL QGt.cau - 5A.1。此外，还检测到了几个控制粒形和大小的QTL位点存在多效性，这些位点可作为小麦育种计划中精细定位和标记辅助选择的目标区域。
