Guo Jie, Hao Chenyang, Zhang Yong, Zhang Boqiao, Cheng Xiaoming, Qin Lin, Li Tian, Shi Weiping, Chang Xiaoping, Jing Ruilian, Yang Wuyun, Hu Wenjing, Zhang Xueyong, Cheng Shunhe
National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
PLoS One. 2015 Jun 11;10(6):e0130029. doi: 10.1371/journal.pone.0130029. eCollection 2015.
Common wheat is one of the most important crops in China, which is the largest producer in the world. A set of 230 cultivars was used to identify yield-related loci by association mapping. This set was tested for seven yield-related traits, viz. plant height (PH), spike length (SL), spikelet number per spike (SNPS), kernel number per spike (KNPS), thousand-kernel weight (TKW), kernel weight per spike (KWPS), and sterile spikelet number (SSN) per plant in four environments. A total of 106 simple sequence repeat (SSR) markers distributed on all 21 chromosomes were used to screen the set. Twenty-one and 19 of them were associated with KNPS and TKW, respectively. Association mapping detected 73 significant associations across 50 SSRs, and the phenotypic variation explained (R2) by the associations ranged from 1.54 to 23.93%. The associated loci were distributed on all chromosomes except 4A, 7A, and 7D. Significant and potentially new alleles were present on 8 chromosomes, namely 1A, 1D, 2A, 2D, 3D, 4B, 5B, and 6B. Further analysis showed that genetic effects of associated loci were greatly influenced by association panels, and the R2 of crucial loci were lower in modern cultivars than in the mini core collection, probably caused by strong selection in wheat breeding. In order to confirm the results of association analysis, yield-related favorable alleles Xgwm135-1A138, Xgwm337-1D186, Xgwm102-2D144, and Xgwm132-6B128 were evaluated in a double haploid (DH) population derived from Hanxuan10 xLumai14.These favorable alleles that were validated in various populations might be valuable in breeding for high-yield.
普通小麦是中国最重要的作物之一，中国是世界上最大的小麦生产国。利用一套230个品种通过关联分析鉴定产量相关位点。该品种在四种环境下对七个产量相关性状进行了测试，即株高（PH）、穗长（SL）、每穗小穗数（SNPS）、每穗粒数（KNPS）、千粒重（TKW）、每穗粒重（KWPS）和单株不育小穗数（SSN）。使用分布在所有21条染色体上的106个简单序列重复（SSR）标记对该品种进行筛选。其中分别有21个和19个标记与KNPS和TKW相关。关联分析在50个SSR中检测到73个显著关联，这些关联解释的表型变异（R2）范围为1.54%至23.93%。相关位点分布在除4A、7A和7D以外的所有染色体上。在8条染色体上，即1A、1D、2A、2D、3D、4B、5B和6B上存在显著且可能的新等位基因。进一步分析表明相关位点的遗传效应受关联群体的影响很大，关键位点在现代品种中的R2低于微核心种质库中的R2, 这可能是由于小麦育种中的强烈选择所致。为了证实关联分析的结果，在由邯选10×鲁麦14衍生的双单倍体（DH）群体中对产量相关有利等位基因Xgwm-1A138, Xgwm337-1D186, Xgwm102-2D144和Xgwm132-6B128进行了评估。这些在不同群体中得到验证的有利等位基因可能对高产育种具有重要价值。
