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Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments

The stem and leaves of fresh corn plants can be used as green silage or can be converted to biofuels, and the stalk sugar content and yield directly determine the application value of fresh corn. To identify the genetic variations and candidate genes responsible for the related traits in fresh corn,...

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Autores principales: Chen, Jianjian, Cao, Jinming, Bian, Yunlong, Zhang, Hui, Li, Xiangnan, Wu, Zhenxing, Guo, Guojin, Lv, Guihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655584/
https://www.ncbi.nlm.nih.gov/pubmed/36362278
http://dx.doi.org/10.3390/ijms232113490
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author Chen, Jianjian
Cao, Jinming
Bian, Yunlong
Zhang, Hui
Li, Xiangnan
Wu, Zhenxing
Guo, Guojin
Lv, Guihua
author_facet Chen, Jianjian
Cao, Jinming
Bian, Yunlong
Zhang, Hui
Li, Xiangnan
Wu, Zhenxing
Guo, Guojin
Lv, Guihua
author_sort Chen, Jianjian
collection PubMed
description The stem and leaves of fresh corn plants can be used as green silage or can be converted to biofuels, and the stalk sugar content and yield directly determine the application value of fresh corn. To identify the genetic variations and candidate genes responsible for the related traits in fresh corn, the genome-wide scan and genome-wide association analysis (GWAS) were performed. A total of 32 selective regions containing 172 genes were detected between sweet and waxy corns. Using the stalk sugar content and seven other agronomic traits measured in four seasons over two years, the GWAS identified ninety-two significant single nucleotide polymorphisms (SNPs). Most importantly, seven SNPs associated with the stalk sugar content were detected across multiple environments, which could explain 13.68–17.82% of the phenotypic variation. Accessions differing in genotype for certain significant SNPs showed significant variation in the stalk sugar content and other agronomic traits, and the expression levels of six important candidate genes were significantly different between two materials with different stalk sugar content. The genetic variations and candidate genes provide valuable resources for future studies of the molecular mechanism of the stalk sugar content and establish the foundation for molecular marker-assisted breeding of fresh corn.
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spelling pubmed-96555842022-11-15 Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments Chen, Jianjian Cao, Jinming Bian, Yunlong Zhang, Hui Li, Xiangnan Wu, Zhenxing Guo, Guojin Lv, Guihua Int J Mol Sci Article The stem and leaves of fresh corn plants can be used as green silage or can be converted to biofuels, and the stalk sugar content and yield directly determine the application value of fresh corn. To identify the genetic variations and candidate genes responsible for the related traits in fresh corn, the genome-wide scan and genome-wide association analysis (GWAS) were performed. A total of 32 selective regions containing 172 genes were detected between sweet and waxy corns. Using the stalk sugar content and seven other agronomic traits measured in four seasons over two years, the GWAS identified ninety-two significant single nucleotide polymorphisms (SNPs). Most importantly, seven SNPs associated with the stalk sugar content were detected across multiple environments, which could explain 13.68–17.82% of the phenotypic variation. Accessions differing in genotype for certain significant SNPs showed significant variation in the stalk sugar content and other agronomic traits, and the expression levels of six important candidate genes were significantly different between two materials with different stalk sugar content. The genetic variations and candidate genes provide valuable resources for future studies of the molecular mechanism of the stalk sugar content and establish the foundation for molecular marker-assisted breeding of fresh corn. MDPI 2022-11-04 /pmc/articles/PMC9655584/ /pubmed/36362278 http://dx.doi.org/10.3390/ijms232113490 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Jianjian
Cao, Jinming
Bian, Yunlong
Zhang, Hui
Li, Xiangnan
Wu, Zhenxing
Guo, Guojin
Lv, Guihua
Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments
title Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments
title_full Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments
title_fullStr Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments
title_full_unstemmed Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments
title_short Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments
title_sort identification of genetic variations and candidate genes responsible for stalk sugar content and agronomic traits in fresh corn via gwas across multiple environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655584/
https://www.ncbi.nlm.nih.gov/pubmed/36362278
http://dx.doi.org/10.3390/ijms232113490
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