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Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize
Maize grain size is the main factor determining grain yield. Dissecting the genetic basis of maize grain size may help reveal the regulatory mechanism of maize seed development and yield formation. In this study, two associated populations were used for genome-wide association analysis of kernel len...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171146/ https://www.ncbi.nlm.nih.gov/pubmed/35685022 http://dx.doi.org/10.3389/fpls.2022.872292 |
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author | Qu, Zhibo Wu, Ying Hu, Die Li, Ting Liang, Hangyu Ye, Fan Xue, Jiquan Xu, Shutu |
author_facet | Qu, Zhibo Wu, Ying Hu, Die Li, Ting Liang, Hangyu Ye, Fan Xue, Jiquan Xu, Shutu |
author_sort | Qu, Zhibo |
collection | PubMed |
description | Maize grain size is the main factor determining grain yield. Dissecting the genetic basis of maize grain size may help reveal the regulatory mechanism of maize seed development and yield formation. In this study, two associated populations were used for genome-wide association analysis of kernel length, kernel width, kernel thickness, and hundred-kernel weight from multiple locations in AM122 and AM180, respectively. Then, genome-wide association mapping was performed based on the maize 6H90K SNP chip. A total of 139 loci were identified as associated with the four traits with p < 1 × 10(−4) using two models (FarmCPU and MLM). The transcriptome data showed that 15 of them were expressed differentially in two maize-inbred lines KB182 (small kernel) and KB020 (big kernel) during kernel development. These candidate genes were enriched in regulating peroxidase activity, oxidoreductase, and leaf senescence. The molecular function was major in binding and catalytic activity. This study provided important reference information for exploring maize kernel development mechanisms and applying molecular markers in high-yield breeding. |
format | Online Article Text |
id | pubmed-9171146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91711462022-06-08 Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize Qu, Zhibo Wu, Ying Hu, Die Li, Ting Liang, Hangyu Ye, Fan Xue, Jiquan Xu, Shutu Front Plant Sci Plant Science Maize grain size is the main factor determining grain yield. Dissecting the genetic basis of maize grain size may help reveal the regulatory mechanism of maize seed development and yield formation. In this study, two associated populations were used for genome-wide association analysis of kernel length, kernel width, kernel thickness, and hundred-kernel weight from multiple locations in AM122 and AM180, respectively. Then, genome-wide association mapping was performed based on the maize 6H90K SNP chip. A total of 139 loci were identified as associated with the four traits with p < 1 × 10(−4) using two models (FarmCPU and MLM). The transcriptome data showed that 15 of them were expressed differentially in two maize-inbred lines KB182 (small kernel) and KB020 (big kernel) during kernel development. These candidate genes were enriched in regulating peroxidase activity, oxidoreductase, and leaf senescence. The molecular function was major in binding and catalytic activity. This study provided important reference information for exploring maize kernel development mechanisms and applying molecular markers in high-yield breeding. Frontiers Media S.A. 2022-05-24 /pmc/articles/PMC9171146/ /pubmed/35685022 http://dx.doi.org/10.3389/fpls.2022.872292 Text en Copyright © 2022 Qu, Wu, Hu, Li, Liang, Ye, Xue and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Qu, Zhibo Wu, Ying Hu, Die Li, Ting Liang, Hangyu Ye, Fan Xue, Jiquan Xu, Shutu Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize |
title | Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize |
title_full | Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize |
title_fullStr | Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize |
title_full_unstemmed | Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize |
title_short | Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize |
title_sort | genome-wide association analysis for candidate genes contributing to kernel-related traits in maize |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171146/ https://www.ncbi.nlm.nih.gov/pubmed/35685022 http://dx.doi.org/10.3389/fpls.2022.872292 |
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