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Chinese Agricultural Science Bulletin ›› 2025, Vol. 41 ›› Issue (14): 32-40.doi: 10.11924/j.issn.1000-6850.casb2024-0420

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Response Analysis of OsSIG5 Gene to Phytohormones and Abiotic Stresses in Rice

ZHAN Jiatao1(), MIAO Leyi1, JI Zixian1, WANG Yiting1, LU Yue1, TAN En1, MA Shuaipeng2, WANG Limin1()   

  1. 1 College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225
    2 Guangzhou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Guangzhou 510145
  • Received:2024-06-27 Revised:2024-10-15 Online:2025-05-15 Published:2025-05-14

Abstract:

Analysis of the response pattern of sigma factor coding gene OsSIG5 in rice (Oryza sativa) to stress and hormones could provide references for further exploring the functions of OsSIG5 and its homologous genes. Firstly, the bioinformatics of OsSIG5 was performed, and the expression patterns of OsSIG5 in rice under normal and stress conditions were analyzed by quantitative PCR (qRT-PCR). The results showed that the coding region of OsSIG5 was 1503 bp in length, containing 6 exons and encoding 500 amino acids. The OsSIG5 protein had three conserved domains of the σ70 family, and phylogenetic analyses showed that the SIG5 homologous protein of monocotyledonous plants was closely related to OsSIG5. The promoter region of OsSIG5 contained 16 plant hormone response cis-elements and 20 environmental stress response cis-elements. OsSIG5 was mainly expressed in rice leaves. The expression of OsSIG5 in leaves was significantly increased under 6-Benzylaminopurine (6-BA) treatment, but significantly decreased under gibberellic acid (GA3), indole acetic acid (IAA) and abscisic acid (ABA) treatment. In addition, the expression level of OsSIG5 in leaves was significantly decreased after high temperature, low temperature, drought and salt stress treatment. This study showed that OsSIG5 could respond to various hormone signals and abiotic stress signals.

Key words: rice, sigma factors, OsSIG5, phylogenetic analysis, cis-acting element analysis, expression pattern, plant hormones, abiotic stress