论文部分内容阅读
前期通过对广谱稻瘟病抗性品种粳稻云引接种稻瘟病菌后的基因表达谱分析,构建随时间变化的动态样本基因调控网络。在此基础上,选取该调控网络中10个比较重要的基因,采用Real-Time PCR的方法对其在接种稻瘟病菌后的时空表达进行相对定量分析,得到这些基因在稻瘟病菌诱导后在云引中的时空表达模式。10个基因均受到稻瘟病菌的诱导,但达到表达量峰值的时间各异,有8个基因在36h内表达量达到峰值,3个编码转录因子的基因表达量在24h内达到峰值;部分基因表达呈先上升,后抑制,另一些基因的表达则先抑制,后上升,再下降。该研究为进一步确定这些基因在云引抗病性调控中的作用奠定基础。
In the early stage, the gene expression profile of the broad-spectrum rice blast-resistant japonica rice was introduced into M. grisea. On this basis, we selected ten of the more important genes in this regulatory network and compared them quantitatively with Real-Time PCR to detect the spatiotemporal expression of M. grisea, The Temporal and Spatial Expressions in the Clouds. 10 genes were induced by Magnaporthe grisea, but reached the peak value of expression time, 8 genes reached the peak in 36h, 3 genes encoding transcription factor peaked within 24h; some genes The expression was first increased, then inhibited, while the other gene expression was inhibited first, then increased, then decreased. The study laid the foundation for further determining the role of these genes in the regulation of cloud-induced disease resistance.