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<p>The fatty acid content plays a crucial role in the quality traits of soybeans. However, its content is easily affected by environmental and genetic factors. Therefore, conducting quantitative trait locus (QTL) mapping research on the fatty acid content in soybeans is of great significance for mining genes related to the regulation of soybean fatty acid content. In this study, a genetic linkage map containing 761 SSR and InDel marker loci was constructed. The map length was 1475.7&#xa0;cM, and the average distance between markers was 1.94&#xa0;cM. In this study, the multiple QTL model (MQM) mapping method was used, and a total of 49 QTLs related to fatty acid content that existed in two or more environments were detected. By comparing with the QTL mapping results reported by previous studies, this study found that nine QTLs overlapped with the previous research results. A total of four QTLs that could be stably inherited in four environments were detected. Analysis of these QTLs finally screened out five candidate genes. Among these genes, <i>Glyma.19G170100</i>, <i>Glyma.02G203300</i>, and <i>Glyma.02G227200</i> were preliminarily validated for their gene functions in EMS-induced mutation lines. These results provide valuable genetic resources for both candidate gene exploration and marker-assisted breeding aimed at improving the quality of soybeans.</p>

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Stable Quantitative Trait Locus Analysis for Fatty Acid Content of Seed in Soybean (Glycine max L.)

  • 期刊论文

  • 发表日期：

    2026年4月24日

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  • Pingting Tan,
  • Hao Sun,
  • Fukang Guo,
  • Yipeng Zhang,
  • Peng Tan,
  • Xuan Gong,
  • Jian Zhang

摘要

The fatty acid content plays a crucial role in the quality traits of soybeans. However, its content is easily affected by environmental and genetic factors. Therefore, conducting quantitative trait locus (QTL) mapping research on the fatty acid content in soybeans is of great significance for mining genes related to the regulation of soybean fatty acid content. In this study, a genetic linkage map containing 761 SSR and InDel marker loci was constructed. The map length was 1475.7 cM, and the average distance between markers was 1.94 cM. In this study, the multiple QTL model (MQM) mapping method was used, and a total of 49 QTLs related to fatty acid content that existed in two or more environments were detected. By comparing with the QTL mapping results reported by previous studies, this study found that nine QTLs overlapped with the previous research results. A total of four QTLs that could be stably inherited in four environments were detected. Analysis of these QTLs finally screened out five candidate genes. Among these genes, Glyma.19G170100, Glyma.02G203300, and Glyma.02G227200 were preliminarily validated for their gene functions in EMS-induced mutation lines. These results provide valuable genetic resources for both candidate gene exploration and marker-assisted breeding aimed at improving the quality of soybeans.