数字农科院2.0

Identifications of Genes Involved in ABA and MAPK Signaling Pathways Positively Regulating Cold Tolerance in Rice

文献类型： 外文期刊

作者： Guohua Ding;Zhugang Li;Zubair Iqbal;Minghui Zhao;Zhibo Cui;Liangzi Cao;Jinsong Zhou;Lei Lei;Yu Luo;Liangming Bai;Guang Yang;Rongsheng Wang;Kun Li;Xueyang Wang;Kai Liu;Mingnan Qu;Shichen Sun

作者机构：

关键词： ABA signaling;cold stress;integrative analysis;MAPK signaling;transcriptional regulation

期刊名称： Plants

ISSN： 2223-7747

年卷期： 2025 年 14 卷 4 期

页码：

收录情况： SCIE（2025版）

摘要： Cold stress (CS) significantly impacts rice (Oryza sativa L.) growth during seedling and heading stages. Based on two-year field observations, this study identified two rice lines, L9 (cold stress-sensitive) and LD18 (cold stress-tolerant), showing contrasting CS responses. L9 exhibited a 38% reduction in photosynthetic efficiency, whereas LD18 remained unchanged, correlating with seed rates. Transcriptome analysis identified differentially expressed genes (DEGs) with LD18 showing enriched pathways (carbon fixation, starch/sucrose metabolism, and glutathione metabolism). LD18 displayed dramatically enhanced expression of MAPK-related genes (LOC4342017, LOC9267741, and LOC4342267) and increased ABA signaling genes (LOC4333690, LOC4345611, and LOC4335640) compared with L9 exposed to CS. Results from qPCR confirmed the enhanced expression of the three MAPK-related genes in LD18 with a dramatic reduction in L9 under CS relative to that under CK. We also observed up to 66% reduction in expression levels of the three genes related to the ABA signaling pathway in L9 relative to LD18 under CS. Consistent with the results of photosynthetic efficiency, metabolic analysis suggests pyruvate metabolism, TCA cycle, and carbon metabolism enrichment in LD18 under CS. The study reveals reprogramming of the carbon assimilation metabolic pathways, emphasizing the critical roles of the key DEGs involved in ABA and MAPK signaling pathways in positive regulation of LD18 response to CS, offering the foundation toward cold tolerance breeding through targeted gene editing.

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