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Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis
Leaf angle (LA) is a key component of maize plant architecture that can simultaneously govern planting density and improve final yield. However, the genetic mechanisms underlying LA have not been fully addressed. To broaden our understanding of its genetic basis, we scored three LA-related traits on...
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/PMC9691904/ https://www.ncbi.nlm.nih.gov/pubmed/36437932 http://dx.doi.org/10.3389/fgene.2022.1004211 |
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author | Duan, Haiyang Li, Jianxin Sun, Yan Xiong, Xuehang Sun, Li Li, Wenlong Gao, Jionghao Li, Na Zhang, Junli Cui, Jiangkuan Fu, Zhiyuan Zhang, Xuehai Tang, Jihua |
author_facet | Duan, Haiyang Li, Jianxin Sun, Yan Xiong, Xuehang Sun, Li Li, Wenlong Gao, Jionghao Li, Na Zhang, Junli Cui, Jiangkuan Fu, Zhiyuan Zhang, Xuehai Tang, Jihua |
author_sort | Duan, Haiyang |
collection | PubMed |
description | Leaf angle (LA) is a key component of maize plant architecture that can simultaneously govern planting density and improve final yield. However, the genetic mechanisms underlying LA have not been fully addressed. To broaden our understanding of its genetic basis, we scored three LA-related traits on upper, middle, and low leaves of 492 maize inbred lines in five environments. Phenotypic data revealed that the three LA-related traits were normally distributed, and significant variation was observed among environments and genotypes. A genome-wide association study (GWAS) was then performed to dissect the genetic factors that control natural variation in maize LA. In total, 85 significant SNPs (involving 32 non-redundant QTLs) were detected (p ≤ 2.04 × 10(–6)), and individual QTL explained 4.80%–24.09% of the phenotypic variation. Five co-located QTL were detected in at least two environments, and two QTLs were co-located with multiple LA-related traits. Forty-seven meta-QTLs were identified based on meta-analysis combing 294 LA-related QTLs extracted from 18 previously published studies, 816 genes were identified within these meta-QTLs, and seven co-located QTLs were jointly identified by both GWAS and meta-analysis. ZmULA1 was located in one of the co-located QTLs, qLA7, and its haplotypes, hap1 and hap2, differed significantly in LA-related traits. Interestingly, the temperate materials with hap2 had smallest LA. Finally, we also performed haplotype analysis using the reported genes that regulate LA, and identified a lot of maize germplasms that aggregated favorable haplotypes. These results will be helpful for elucidating the genetic basis of LA and breeding new maize varieties with ideal plant architecture. |
format | Online Article Text |
id | pubmed-9691904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96919042022-11-26 Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis Duan, Haiyang Li, Jianxin Sun, Yan Xiong, Xuehang Sun, Li Li, Wenlong Gao, Jionghao Li, Na Zhang, Junli Cui, Jiangkuan Fu, Zhiyuan Zhang, Xuehai Tang, Jihua Front Genet Genetics Leaf angle (LA) is a key component of maize plant architecture that can simultaneously govern planting density and improve final yield. However, the genetic mechanisms underlying LA have not been fully addressed. To broaden our understanding of its genetic basis, we scored three LA-related traits on upper, middle, and low leaves of 492 maize inbred lines in five environments. Phenotypic data revealed that the three LA-related traits were normally distributed, and significant variation was observed among environments and genotypes. A genome-wide association study (GWAS) was then performed to dissect the genetic factors that control natural variation in maize LA. In total, 85 significant SNPs (involving 32 non-redundant QTLs) were detected (p ≤ 2.04 × 10(–6)), and individual QTL explained 4.80%–24.09% of the phenotypic variation. Five co-located QTL were detected in at least two environments, and two QTLs were co-located with multiple LA-related traits. Forty-seven meta-QTLs were identified based on meta-analysis combing 294 LA-related QTLs extracted from 18 previously published studies, 816 genes were identified within these meta-QTLs, and seven co-located QTLs were jointly identified by both GWAS and meta-analysis. ZmULA1 was located in one of the co-located QTLs, qLA7, and its haplotypes, hap1 and hap2, differed significantly in LA-related traits. Interestingly, the temperate materials with hap2 had smallest LA. Finally, we also performed haplotype analysis using the reported genes that regulate LA, and identified a lot of maize germplasms that aggregated favorable haplotypes. These results will be helpful for elucidating the genetic basis of LA and breeding new maize varieties with ideal plant architecture. Frontiers Media S.A. 2022-11-11 /pmc/articles/PMC9691904/ /pubmed/36437932 http://dx.doi.org/10.3389/fgene.2022.1004211 Text en Copyright © 2022 Duan, Li, Sun, Xiong, Sun, Li, Gao, Li, Zhang, Cui, Fu, Zhang and Tang. 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 | Genetics Duan, Haiyang Li, Jianxin Sun, Yan Xiong, Xuehang Sun, Li Li, Wenlong Gao, Jionghao Li, Na Zhang, Junli Cui, Jiangkuan Fu, Zhiyuan Zhang, Xuehai Tang, Jihua Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis |
title | Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis |
title_full | Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis |
title_fullStr | Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis |
title_full_unstemmed | Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis |
title_short | Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis |
title_sort | candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691904/ https://www.ncbi.nlm.nih.gov/pubmed/36437932 http://dx.doi.org/10.3389/fgene.2022.1004211 |
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