Transcriptomics and Physiological Analyses of Soybean Stay-Green Syndrome

文献类型： 外文期刊

第一作者： Wang, Dagang

作者： Wang, Dagang;Wang, Yanan;Sun, Ruidong;Yang, Yong;Huang, Zhiping;Zhao, Wei;Yu, Guoyi;Wang, Yueying;Wang, Feng;Zhou, Lin

作者机构：

关键词： soybean; stay-green syndrome; RNA-seq; regulation pathway

期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）

ISSN：

年卷期： 2025 年 15 卷 1 期

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收录情况： SCI

摘要： Stay-green syndrome (SGS) is an important factor that causes soybean (Glycine max) yield reduction. Despite progress being made, the regulatory mechanism remains largely unclear. Therefore, in this study, an SGS-sensitive soybean variety, "HD0702", was employed to investigate the underlying mechanism. Transcriptomic analyses were performed in a tissue-specific manner to investigate differentially expressed genes (DEGs) in soybeans impacted by SGS and in those without SGS. A total of 1858 DEGs were identified in the pods, and 2814 DEGs were identified in the leaves. Further investigation revealed that SGS mainly affected the expression levels of key genes involved in the regulation of photosynthesis, starch and sucrose metabolism, and plant hormone signal transduction. To support this finding, the chlorophyll content of the pods was to be found increased by 320% for chlorophyll a and 260% for chlorophyll b. In leaves, soluble sugar levels significantly increased, whereas phytohormones IAA and ABA decreased in SGS pods. DEGs were classified using gene ontology (GO) terms, and photosynthesis-related genes alpha-glucosidase, beta-mannosidase, beta-amylase 5 (GmBAM5), and starch synthase 2 (GmSS2) were up-regulated. This study demonstrates a molecular and physiological basis for SGS that merits further investigation to allow for SGS management.

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