Wang Tingting, Wang Min, Hu Shuting, Xiao Yingni, Tong Hao, Pan Qingchun, Xue Jiquan, Yan Jianbing, Li Jiansheng, Yang Xiaohong
National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genomics and Genetic Improvement, China Agricultural University, 100193, Beijing, China.
College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China.
BMC Plant Biol. 2015 Dec 12;15:288. doi: 10.1186/s12870-015-0675-2.
Starch from maize kernels has diverse applications in human and animal diets and in industry and manufacturing. To meet the demands of these applications, starch quantity and quality need improvement, which requires a clear understanding of the functional mechanisms involved in starch biosynthesis and accumulation. In this study, a recombinant inbred line (RIL) population was developed from a cross between inbred lines CI7 and K22. The RIL population, along with both parents, was grown in three environments, and then genotyped using the MaizeSNP50 BeadChip and phenotyped to dissect the genetic architecture of starch content in maize kernels.
Based on the genetic linkage map constructed using 2,386 bins as markers, six quantitative trait loci (QTLs) for starch content in maize kernels were detected in the CI7/K22 RIL population. Each QTL accounted for 4.7% (qSTA9-1) to 10.6% (qSTA4-1) of the starch variation. The QTL interval was further reduced using the bin-map method, with the physical distance of a single bin at the QTL peak ranging from 81.7 kb to 2.2 Mb. Based on the functional annotations and prior knowledge of the genes in the top bin, seven genes were considered as potential candidate genes for the identified QTLs. Three of the genes encode enzymes in non-starch metabolism but may indirectly affect starch biosynthesis, and four genes may act as regulators of starch biosynthesis.
A few large-effect QTLs, together with a certain number of minor-effect QTLs, mainly contribute to the genetic architecture of kernel starch content in our maize biparental linkage population. All of the identified QTLs, especially the large-effect QTL, qSTA4-1, with a small QTL interval, will be useful for improving the maize kernel starch content through molecular breeding.
玉米籽粒淀粉在人类和动物饲料以及工业和制造业中有多种应用。为满足这些应用的需求,淀粉的数量和质量需要改进,这需要清楚了解淀粉生物合成和积累所涉及的功能机制。在本研究中,从自交系CI7和K22的杂交后代中构建了一个重组自交系(RIL)群体。该RIL群体与双亲在三种环境中种植,然后使用MaizeSNP50芯片进行基因分型,并进行表型分析以剖析玉米籽粒淀粉含量的遗传结构。
基于以2386个bin作为标记构建的遗传连锁图谱,在CI7/K22 RIL群体中检测到6个控制玉米籽粒淀粉含量的数量性状位点(QTL)。每个QTL解释了淀粉变异的4.7%(qSTA9-1)至10.6%(qSTA4-1)。使用bin-map方法进一步缩小了QTL区间,QTL峰值处单个bin的物理距离范围为81.7 kb至2.2 Mb。根据顶部bin中基因的功能注释和先验知识,7个基因被认为是已鉴定QTL的潜在候选基因。其中3个基因编码非淀粉代谢中的酶,但可能间接影响淀粉生物合成,另外4个基因可能作为淀粉生物合成的调节因子。
在我们的玉米双亲连锁群体中,少数几个大效应QTL以及一定数量的小效应QTL共同构成了籽粒淀粉含量的遗传结构。所有已鉴定的QTL,特别是具有小QTL区间的大效应QTL qSTA4-1,将有助于通过分子育种提高玉米籽粒淀粉含量。