Overexpression of OsGF14C enhances salinity tolerance but reduces blast resistance in rice

Jingfang Dong, Xuezhong Li, Yamei Ma, Jianyuan Yang, Jiansong Chen, Wu Yang, Lian Zhou, Jian Wang, TiFeng Yang, Shaohong Zhang, Junliang Zhao, Qing Liu, Lingyan Zhou, Xiaoyuan Zhu, Bin Liu.

Front Plant Sci.; 2023 Feb 10; 14:1098855. doi: 10.3389/fpls.2023.1098855.

Abstract

High-salinity and blast disease are two major stresses that cause dramatic yield loss in rice production. GF14 (14-3-3) genes have been reported to play important role in biotic and abiotic stresses in plants. However, the roles of OsGF14C remain unknown. To understand the functions and regulatory mechanisms of OsGF14C in regulating salinity tolerance and blast resistance in rice, we have conducted OsGF14C-overexpressing transgenic experiments in the present study. Our results showed that overexpression of OsGF14C enhanced salinity tolerance but reduced blast resistance in rice. The enhanced salinity tolerance is related to the reduction of methylglyoxal and Na⁺ uptake instead of exclusion or compartmentation and the negative role of OsGF14C in blast resistance is associated with the suppression of OsGF14E, OsGF14F and PR genes. Our results together with the results from the previous studies suggest that the lipoxygenase gene LOX2 which is regulated by OsGF14C may play roles in coordinating salinity tolerance and blast resistance in rice. The current study for the first time revealed the possible roles of OsGF14C in regulating salinity tolerance and blast resistance in rice, and laid down a foundation for further functional study and crosstalk regulation between salinity and blast resistance in rice.

See https://pubmed.ncbi.nlm.nih.gov/36844058/

Figure 1 The expression patterns of OsGF14C in responses to salinity stress and blast stress, respectively. The expression of OsGF14C during salinity stress and blast stress as assessed by quantitative real-time PCR at 0 h before treatment and 12 h, 24 h, 48 h after treatment. Error bars indicate the standard deviation (SD) from three biological replicates and ** indicates a statistically significant difference compared with 0 h treatment (t test, p < 0.01).