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Genetic analysis of maize crude fat content by multi-locus genome-wide association study

Dan Lü1, Jianxin Li2, Xuehai Zhang2, Ran Zheng1, Aoni Zhang1, Jingyun Luo3, Bo Tong1, Hongbing Luo1, Jianbing Yan3, Min Deng1( )
College of Agronomy, Hunan Agricultural University/Yuelushan Laboratory, Hunan Agricultural University/Maize Engineering Technology Research Center of Hunan Province, Changsha 410128, China
National Key Laboratory of Wheat and Maize Crop Science/College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
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Highlights

  • The genetic architecture of crude fat content in maize kernels was studied by genome-wide association studies using six models.

  • A total of 744 significant quantitative trait nucleotides (QTNs) and 64 novel QTNs were found for the crude fat content in maize kernels.

  • Four known genes were identified, and eight promising candidate genes were successfully screened.

Abstract

Crude fat is an important nutritional component of maize kernels. However, the genetic mechanisms underlying crude fat content in maize kernels remain elusive. Previous studies used single-model genome-wide association studies (GWAS) with limited population sizes, which can result in false loci positives and hinder functional gene identification. Therefore, this study used a population consisting of 495 maize inbred lines, combined with 1.25 million single nucleotide polymorphisms (SNPs), and implemented GWAS using six models to identify quantitative trait nucleotides (QTNs) controlling crude fat content and to mine key genes. The results revealed a wide variation in crude fat content (0.62–16.03%) and broad-sense heritability (H2) (96.23%). In total, 744 significant QTNs were detected, with 147 co-located across different models, environments, and methods. Based on the 147 co-located QTNs, candidate genes were searched at 50 kb up- and down-stream intervals of each QTN. We finally screened eight candidate genes (GRMZM2G169089, GRMZM2G117935, GRMZM2G002075, GRMZM2G368838, GRMZM2G058496, GRMZM2G090669, GRMZM2G001241, and GRMZM2G333454) related to crude fat content that exhibited high expression levels during kernel development in maize inbred line B73. Notably, GRMZM2G169089, GRMZM2G117935, GRMZM2G002075, and GRMZM2G368838 are involved in the linoleic acid metabolic pathway, oil metabolism, kernel growth, and development in maize. Furthermore, co-expression network analysis revealed that the eight candidate genes strongly correlated with 30 known genes. Proteins encoded by candidate genes interact with other proteins and play an important role in oil content and oleic acid metabolism in maize kernels. The best haplotypes of candidate genes might increase crude fat content without decreasing maize yield. These results broaden the understanding of the genetic mechanism of crude fat content and facilitate marker-assisted selection for high-crude fat breeding programs for maize.

References

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Journal of Integrative Agriculture (JIA)
Pages 2475-2491

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Cite this article:
Lü D, Li J, Zhang X, et al. Genetic analysis of maize crude fat content by multi-locus genome-wide association study. Journal of Integrative Agriculture (JIA), 2025, 24(7): 2475-2491. https://doi.org/10.1016/j.jia.2024.11.014

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Received: 02 August 2024
Revised: 27 September 2024
Accepted: 08 October 2024
Published: 05 November 2024
© 2025, Chinese Academy of Agricultural Sciences (CAAS). All rights reserved.