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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Functional and Applied Plant Genomics
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1479536
This article is part of the Research Topic Soybean Breeding for Abiotic Stress Tolerance: Towards Sustainable Agriculture View all 9 articles

Identification of candidate genes and development of KASP markers for soybean shade-tolerance using GWAS

Provisionally accepted
  • 1 Jiangsu Academy of Agricultural Sciences (JAAS), Nanjing, China
  • 2 Jiangsu Yanjiang Institute of Agricultural Sciences, Nantong, Jiangsu Province, China
  • 3 Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing, China

The final, formatted version of the article will be published soon.

    Shade has a direct impact on photosynthesis and production of plants. Exposure to shade significantly reduces crops yields. Identifying shade-tolerant genomic loci and soybean varieties is crucial for improving soybean yields. In this study, we applied a shade treatment (30% light reduction) to a natural soybean population consisting of 264 accessions, and measured several traits, including the first pod height, plant height, pod number per plant, grain weight per plant, branch number, and main stem node number.Additionally, we performed GWAS on these six traits with and without shade treatment, as well as on the shade tolerance coefficients (STCs) of the six traits. As a result, we identified five shade-tolerance varieties, 733 SNPs and four candidate genes over two years. Furthermore, we developed four kompetitive allele-specific PCR (KASP) makers for the STC of S18_1766721, S09_48870909, S19_49517336, S18_3429732.This study provides valuable genetic resources for breeding soybean shade tolerance and offers new insights into the theoretical research on soybean shade tolerance.

    Keywords: Soybean, shade tolerance, shade tolerance coefficient, GWAS, KASP

    Received: 12 Aug 2024; Accepted: 09 Sep 2024.

    Copyright: © 2024 Jia, Hu, Li, Wei, Wang, Zhang, Zhang, Liu, Chen, Wang and Chen. 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) or licensor 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.

    * Correspondence:
    Shengyan Hu, Jiangsu Academy of Agricultural Sciences (JAAS), Nanjing, China
    Xihuan Li, Jiangsu Academy of Agricultural Sciences (JAAS), Nanjing, China
    Xiaoqing Liu, Jiangsu Academy of Agricultural Sciences (JAAS), Nanjing, China
    Xuejun Wang, Jiangsu Yanjiang Institute of Agricultural Sciences, Nantong, 226541, Jiangsu Province, China
    Huatao Chen, Jiangsu Academy of Agricultural Sciences (JAAS), Nanjing, China

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