Genetic basis of kernel starch content decoded in a maize multi‐parent population. Issue 11 (17th June 2021)

• Record Type: Journal Article
• Authors: Hu, Shuting; Wang, Min; Zhang, Xuan; Chen, Wenkang; Song, Xinran; Fu, Xiuyi; Fang, Hui; Xu, Jing; Xiao, Yingni; Li, Yaru; Bai, Guanghong; Li, Jiansheng; Yang, Xiaohong
• Is Part Of: Plant biotechnology journal. Volume 19:Issue 11(2021)
• Page Start: 2192
• Page End: 2205
• Publication Date: 2021-06-17
• Subjects: starch content -- linkage analysis -- association mapping -- pathway‐driven -- trehalose‐6‐phosphate synthase; Plant biotechnology -- Periodicals; Plant genetic engineering -- Periodicals; 630.272
• DOI: 10.1111/pbi.13645
• Languages: English
• ISSNs: 1467-7644

Abstract

Summary: Starch is the most abundant storage carbohydrate in maize kernels and provides calories for humans and other animals as well as raw materials for various industrial applications. Decoding the genetic basis of natural variation in kernel starch content is needed to manipulate starch quantity and quality via molecular breeding to meet future needs. Here, we identified 50 unique single quantitative trait loci (QTLs) for starch content with 18 novel QTLs via single linkage mapping, joint linkage mapping and a genome‐wide association study in a multi‐parent population containing six recombinant inbred line populations. Only five QTLs explained over 10% of phenotypic variation in single populations. In addition to a few large‐effect and many small‐effect additive QTLs, limited pairs of epistatic QTLs also contributed to the genetic basis of the variation in kernel starch content. A regional association study identified five non‐starch‐pathway genes that were the causal candidate genes underlying the identified QTLs for starch content. The pathway‐driven analysis identified ZmTPS9, which encodes a trehalose‐6‐phosphate synthase in the trehalose pathway, as the causal gene for the QTL qSTA4 − 2, which was detected by all three statistical analyses. Knockout of ZmTPS9 increased kernel starch content and, in turn, kernel weight in maize, suggesting potential applications for ZmTPS9 in maize starch and yield improvement. These findings extend our knowledge about the genetic basis of starch content in maize kernels and provide valuable information for maize genetic improvement of starch quantity and quality.