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Research Article | Open Access

Genetic architecture of maize yield traits dissected by QTL mapping and GWAS in maize

Xiao Zhanga,b,1Zhiyong Rena,c,1Bowen Luoa,b,1Haixu Zhonga,bPeng Maa,bHongkai Zhanga,bHongmei Hua,bYikai Wanga,bHaiying Zhanga,bDan Liua,bLing Wua,bZhi NiedYonghui ZhueWenzhu HeeSuzhi Zhanga,b,fShunzong SugYaou Shena,b,fShibin Gaoa,b,f( )
Maize Research Institute, Sichuan Agricultural University, Chengdu 611130, Sichuan, China
Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu 611130, Sichuan, China
Guangxi QingQing Agricultural Technology CO. LTD., Nanning 530000, Guangxi, China
Biotechnology and Nuclear Technology Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610066, Sichuan, China
Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610066, Sichuan, China
State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu 611130, Sichuan, China
College of Agronomy, Sichuan Agricultural University, Chengdu 611130, Sichuan, China

1 These authors contributed equally to this work.

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Abstract

The study of yield traits can reveal the genetic architecture of grain yield for improving maize production. In this study, an association panel comprising 362 inbred lines and a recombinant inbred line population derived from X178 × 9782 were used to identify candidate genes for nine yield traits. High-priority overlap (HPO) genes, which are genes prioritized in a genome-wide association study (GWAS), were investigated using coexpression networks. The GWAS identified 51 environmentally stable SNPs in two environments and 36 pleiotropic SNPs, including three SNPs with both attributes. Seven hotspots containing 41 trait-associated SNPs were identified on six chromosomes by permutation. Pyramiding of superior alleles showed a highly positive effect on all traits, and the phenotypic values of ear diameter and ear weight consistently corresponded with the number of superior alleles in tropical and temperate germplasm. A total of 61 HPO genes were detected after trait-associated SNPs were combined with the coexpression networks. Linkage mapping identified 16 environmentally stable and 16 pleiotropic QTL. Seven SNPs that were located in QTL intervals were assigned as consensus SNPs for the yield traits. Among the candidate genes predicted by our study, some genes were confirmed to function in seed development. The gene Zm00001d016656 encoding a serine/threonine protein kinase was associated with five different traits across multiple environments. Some genes were uniquely expressed in specific tissues and at certain stages of seed development. These findings will provide genetic information and resources for molecular breeding of maize grain yield.

The Crop Journal
Pages 436-446
Cite this article:
Zhang X, Ren Z, Luo B, et al. Genetic architecture of maize yield traits dissected by QTL mapping and GWAS in maize. The Crop Journal, 2022, 10(2): 436-446. https://doi.org/10.1016/j.cj.2021.07.008

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Received: 07 December 2020
Revised: 08 June 2021
Accepted: 25 July 2021
Published: 24 August 2021
© 2021 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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