Research Article

Genome-Wide Association Study of Maize Kernel Quality Related Traits and Their Molecular Mechanisms  

Jin Zhou , Wenying Hong
Hainan Key Laboratory of Crop Molecular Breeding, Sanya,572000, China
Author    Correspondence author
Maize Genomics and Genetics, 2024, Vol. 15, No. 1   doi: 10.5376/mgg.2024.15.0001
Received: 06 Dec., 2023    Accepted: 11 Jan., 2024    Published: 22 Jan., 2024
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Zhou J., and Hong W.Y., 2024, Genome-wide association study of maize kernel quality related traits and their molecular mechanisms, Maize Genomics and Genetics, 15(1): 1-8 (doi: 10.5376/mgg.2024.15.0001)

Abstract

In recent years, significant progress has been made in revealing the genetic basis and molecular mechanisms underlying maize kernel quality traits, thanks to the development and application of Genome-Wide Association Studies (GWAS). Kernel quality traits in maize, such as starch, protein, and oil content, not only directly affect its nutritional value and processing quality but are also crucial for enhancing food security. This review summarizes the application of GWAS in the study of maize kernel quality traits, including the discovery of key genes and loci, how these genes regulate specific quality traits, and their potential applications in maize breeding. Furthermore, the article discusses the challenges and limitations of GWAS research, as well as future directions, particularly in the application of high-throughput sequencing technologies, precise gene editing, and integration of multi-omics data analysis, aiming to further improve maize quality. By deeply understanding the genetic and molecular mechanisms of maize kernel quality traits, this article highlights the importance and prospects of molecular breeding in the improvement of crop quality.

Keywords
Genome-wide association studies (GWAS); Maize; Kernel quality; Genetic basis; Molecular mechanisms; Breeding improvement
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