Genome-Wide Association Study for Nine Plant Architecture Traits in Sorghum

Sorghum [ (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...

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Main Authors: Jing Zhao, Maria B. Mantilla Perez, Jieyun Hu, Maria G. Salas Fernandez
Format: Article
Language:English
Published: Wiley 2016-07-01
Series:The Plant Genome
Online Access:https://dl.sciencesocieties.org/publications/tpg/articles/9/2/plantgenome2015.06.0044
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spelling doaj-065eff46ebf74864b1cfd5b0fc15a67c2020-11-25T03:33:43ZengWileyThe Plant Genome1940-33722016-07-019210.3835/plantgenome2015.06.0044plantgenome2015.06.0044Genome-Wide Association Study for Nine Plant Architecture Traits in SorghumJing ZhaoMaria B. Mantilla PerezJieyun HuMaria G. Salas FernandezSorghum [ (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, () and (), 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 () 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.https://dl.sciencesocieties.org/publications/tpg/articles/9/2/plantgenome2015.06.0044
collection DOAJ
language English
format Article
sources DOAJ
author Jing Zhao
Maria B. Mantilla Perez
Jieyun Hu
Maria G. Salas Fernandez
spellingShingle Jing Zhao
Maria B. Mantilla Perez
Jieyun Hu
Maria G. Salas Fernandez
Genome-Wide Association Study for Nine Plant Architecture Traits in Sorghum
The Plant Genome
author_facet Jing Zhao
Maria B. Mantilla Perez
Jieyun Hu
Maria G. Salas Fernandez
author_sort Jing Zhao
title Genome-Wide Association Study for Nine Plant Architecture Traits in Sorghum
title_short Genome-Wide Association Study for Nine Plant Architecture Traits in Sorghum
title_full Genome-Wide Association Study for Nine Plant Architecture Traits in Sorghum
title_fullStr Genome-Wide Association Study for Nine Plant Architecture Traits in Sorghum
title_full_unstemmed Genome-Wide Association Study for Nine Plant Architecture Traits in Sorghum
title_sort genome-wide association study for nine plant architecture traits in sorghum
publisher Wiley
series The Plant Genome
issn 1940-3372
publishDate 2016-07-01
description Sorghum [ (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, () and (), 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 () 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.
url https://dl.sciencesocieties.org/publications/tpg/articles/9/2/plantgenome2015.06.0044
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AT jieyunhu genomewideassociationstudyfornineplantarchitecturetraitsinsorghum
AT mariagsalasfernandez genomewideassociationstudyfornineplantarchitecturetraitsinsorghum
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