Review and Progress

The Current Situation and Future of Using GWAS Strategies to Accelerate the Improvement of Crop Stress Resistance Traits  

Wenzhong Huang
Hainan Provincial Key Laboratory of Crop Molecular Breeding, Sanya, 572025, China
Author    Correspondence author
Molecular Plant Breeding, 2024, Vol. 15, No. 2   doi: 10.5376/mpb.2024.15.0007
Received: 26 Jan., 2024    Accepted: 01 Mar., 2024    Published: 15 Mar., 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:

Huang W.Z., 2024, The current situation and future of using GWAS strategies to accelerate the improvement of crop stress resistance traits, Molecular Plant Breeding, 15(2): 52-62 (doi: 10.5376/mpb.2024.15.0007)


This study explores the current state and future prospects of accelerating crop resistance trait improvement through Genome-Wide Association Studies (GWAS) strategies. With the rapid development of high-throughput sequencing technology and bioinformatics, GWAS has emerged as a powerful tool for linking DNA variations to important crop traits. This research particularly emphasizes the strategies for integrating multi-omics data, as well as the application of precision breeding and gene editing technologies based on GWAS findings, offering new directions and strategies for the improvement of crop resistance traits. Additionally, the emergence of methods such as Transcriptome-Wide Association Studies (TWAS) provides robust tools for identifying genes associated with complex traits, suggesting a more comprehensive understanding of genomic regulation and genetically regulated genes in the future. These advancements not only propel the scientific research of crop genetic improvement but also provide a solid scientific foundation for the sustainable development of crop production and food safety.

Genome-wide association studies (GWAS); High-throughput sequencing technology; Bioinformatics; Crop resistance traits; Transcriptome-wide association studies (TWAS)
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