1. Identification of Quantitative Trait Loci and Candidate Genes for Maize Starch Granule Size through Association Mapping
- Author
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Jihong Huang, Yubi Huang, Weihua Li, Na Liu, Zhanhui Zhang, Shu-Jun Meng, Jihua Tang, and Yadong Xue
- Subjects
0106 biological sciences ,0301 basic medicine ,Candidate gene ,Linkage disequilibrium ,Genetic Linkage ,Starch ,Quantitative Trait Loci ,lcsh:Medicine ,Single-nucleotide polymorphism ,Biology ,Quantitative trait locus ,Polymorphism, Single Nucleotide ,Zea mays ,01 natural sciences ,Linkage Disequilibrium ,Maize starch ,03 medical and health sciences ,chemistry.chemical_compound ,lcsh:Science ,Association mapping ,Genetic association ,Genetics ,Multidisciplinary ,lcsh:R ,Chromosome Mapping ,food and beverages ,Genomics ,Phenotype ,030104 developmental biology ,chemistry ,Seeds ,lcsh:Q ,Genome, Plant ,Genome-Wide Association Study ,010606 plant biology & botany - Abstract
Starch is an important nutrient component of maize kernels, and starch granule size largely determines kernel waxiness, viscosity, and other physiochemical and processing properties. To explore the genetic basis of maize starch granule size, 266 tropical, subtropical, and temperate inbred lines were subjected to genome-wide association analyses with an array of 56,110 random single nucleotide polymorphisms (SNPs). In the present panel, the kernel starch granule size ranged from 7–15.8 µm long and 6.8–14.3 µm wide. Fourteen significant SNPs were identified as being associated with the length of starch granules and 9 with their width. One linkage disequilibrium block flanking both sides of a significant SNP was defined as a quantitative trait locus (QTL) interval, and seven QTLs were mapped for both granule length and width. A total of 79 and 88 candidate genes associated with starch length and width, respectively, were identified as being distributed on QTL genomic regions. Among these candidate genes, six with high scores were predicted to be associated with maize starch granule size. A candidate gene association analysis identified significant SNPs within genes GRMZM2G419655 and GRMZM2G511067, which could be used as functional markers in screening starch granule size for different commercial uses.
- Published
- 2018