Open AccessGenome‐Wide Association Study for Nine Plant Architecture Traits in Sorghum
Author(s) -
Zhao Jing,
Mantilla Perez Maria B.,
Hu Jieyun,
Salas Fernandez Maria G.
Publication year - 2016
Publication title -
the plant genome
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 41
ISSN - 1940-3372
DOI - 10.3835/plantgenome2015.06.0044
Subject(s) - biology , quantitative trait locus , candidate gene , genome wide association study , genetic architecture , genetic association , panicle , association mapping , pleiotropy , genetic variation , single nucleotide polymorphism , genetics , heritability , gene , phenotype , agronomy , genotype
Sorghum [ Sorghum bicolor (L) Moench], an important grain and forage crop, is receiving significant attention as a lignocellulosic feedstock because of its water‐use efficiency and high biomass yield potential. Because of the advancement of genotyping and sequencing technologies, genome‐wide association study (GWAS) has become a routinely used method to investigate the genetic mechanisms underlying natural phenotypic variation. In this study, we performed a GWAS for nine grain and biomass‐related plant architecture traits to determine their overall genetic architecture and the specific association of allelic variants in gibberellin (GA) biosynthesis and signaling genes with these phenotypes. A total of 101 single‐nucleotide polymorphism (SNP) representative regions were associated with at least one of the nine traits, and two of the significant markers correspond to GA candidate genes, GA2ox5 ( Sb09 g028360 ) and KS3 ( Sb06 g028210 ), affecting plant height and seed number, respectively. The resolution of a previously reported quantitative trait loci (QTL) for leaf angle on chromosome 7 was increased to a 1.67 Mb region containing seven candidate genes with good prospects for further investigation. This study provides new knowledge of the association of GA genes with plant architecture traits and the genomic regions controlling variation in leaf angle, stem circumference, internode number, tiller number, seed number, panicle exsertion, and panicle length. The GA gene affecting seed number variation ( KS3, Sb06 g028210 ) and the genomic region on chromosome 7 associated with variation in leaf angle are also important outcomes of this study and represent the foundation of future validation studies needed to apply this knowledge in breeding programs.