Xiao Yingjie, Tong Hao, Yang Xiaohong, Xu Shizhong, Pan Qingchun, Qiao Feng, Raihan Mohammad Sharif, Luo Yun, Liu Haijun, Zhang Xuehai, Yang Ning, Wang Xiaqing, Deng Min, Jin Minliang, Zhao Lijun, Luo Xin, Zhou Yang, Li Xiang, Liu Jie, Zhan Wei, Liu Nannan, Wang Hong, Chen Gengshen, Cai Ye, Xu Gen, Wang Weidong, Zheng Debo, Yan Jianbing
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
New Phytol. 2016 May;210(3):1095-106. doi: 10.1111/nph.13814. Epub 2015 Dec 30.
Improvement of grain yield is an essential long-term goal of maize (Zea mays) breeding to meet continual and increasing food demands worldwide, but the genetic basis remains unclear. We used 10 different recombination inbred line (RIL) populations genotyped with high-density markers and phenotyped in multiple environments to dissect the genetic architecture of maize ear traits. Three methods were used to map the quantitative trait loci (QTLs) affecting ear traits. We found 17-34 minor- or moderate-effect loci that influence ear traits, with little epistasis and environmental interactions, totally accounting for 55.4-82% of the phenotypic variation. Four novel QTLs were validated and fine mapped using candidate gene association analysis, expression QTL analysis and heterogeneous inbred family validation. The combination of multiple different populations is a flexible and manageable way to collaboratively integrate widely available genetic resources, thereby boosting the statistical power of QTL discovery for important traits in agricultural crops, ultimately facilitating breeding programs.
提高粮食产量是玉米(Zea mays)育种的一项重要长期目标,以满足全球持续增长的粮食需求,但其遗传基础仍不清楚。我们使用了10个不同的重组自交系(RIL)群体,这些群体通过高密度标记进行基因分型,并在多个环境中进行表型分析,以剖析玉米穗部性状的遗传结构。使用了三种方法来定位影响穗部性状的数量性状位点(QTL)。我们发现17-34个影响穗部性状的微效或中效位点,上位性和环境互作较少,共解释了55.4-82%的表型变异。通过候选基因关联分析、表达QTL分析和异质近交家系验证,对四个新的QTL进行了验证和精细定位。多个不同群体的组合是一种灵活且可管理的方式,可协同整合广泛可用的遗传资源,从而提高发现农作物重要性状QTL的统计功效,最终促进育种计划。