东乡野生稻苗期响应低温胁迫的转录组分析

为了解东乡野生稻（Oryza rufipogon）对低温胁迫的响应机制,对苗期的RNA-seq转录表达谱进行了研究。结果表明,与对照相比,共检测到10 200个差异表达基因（DEGs）,其中5 201个上调表达,4 999个下调表达,其中有426个DEGs位于已报道的水稻耐冷QTL区间,且37个为耐冷调控相关的家族基因。GO功能分类和KEGG代谢路径分析表明,核酸结合转录因子活性、氨基酸生物合成以及光合作用代谢等均参与响应低温胁迫过程。实时荧光定量分析表明,ABA响应蛋白基因、MYB转录因子和40S核糖体蛋白SA基因等12个可能与低温胁迫响应相关的DEGs表达模式与RNA-seq的一致。可见,植物激素传导途径和转录因子相关调控基因在东乡野生稻苗期响应低温胁迫过程中起重要作用。     

The identification of candidate radio marker genes using a coexpression network analysis in gamma‐irradiated rice

Plant physiological and biochemical processes are significantly affected by gamma irradiation stress. In addition, gamma‐ray (GA) differentially affects gene expression across the whole genome. In this study, we identified radio marker genes (RMGs) responding only to GA stress compared with six abiotic stresses (chilling, cold, anoxia, heat, drought and salt) in rice. To analyze the expression patterns of differentially expressed genes (DEGs) in gamma‐irradiated rice plants against six abiotic stresses, we conducted a hierarchical clustering analysis by using a complete linkage algorithm. The up‐ and downregulated DEGs were observed against six abiotic stresses in three and four clusters among a total of 31 clusters, respectively. The common gene ontology functions of upregulated DEGs in clusters 9 and 19 are associated with oxidative stress. In a Pearson's correlation coefficient analysis, GA stress showed highly negative correlation with salt stress. On the basis of specific data about the upregulated DEGs, we identified the 40 candidate RMGs that are induced by gamma irradiation. These candidate RMGs, except two genes, were more highly induced in rice roots than in other tissues. In addition, we obtained other 38 root‐induced genes by using a coexpression network analysis of the specific upregulated candidate RMGs in an ARACNE algorithm. Among these genes, we selected 16 RMGs and 11 genes coexpressed with three RMGs to validate coexpression network results. RT‐PCR assay confirmed that these genes were highly upregulated in GA treatment. All 76 genes (38 root‐induced genes and 38 candidate RMGs) might be useful for the detection of GA sensitivity in rice roots.