研究拟南芥在高浓度盐处理环境下的基因调控网络,有助于了解其在盐胁迫环境下保持正常生长的防御机制。针对目前广泛研究的SOS(Salt Overly Sensitive)耐盐机制,文章整合公共数据库中盐胁迫相关的拟南芥基因组表达谱芯片,通过反向工程方法构建了拟南芥在盐胁迫状态下的SOS转录调控网络。所获得的调控网络包含70个盐胁迫相关且高度互作的互作基因,其中27个转录因子为主要调控节点。进而根据SOS核心基因的表达特性,所得调控网络内的不同表达模式得到了鉴别。
Elucidating gene regulatory network of Arabidopsis thaliana under high salt treatment is crucial to understand the defense mechanism of maintaining normal growth rate. Here, an Arabidopsis Salt Overly Sensitive (SOS) transcriptional regulatory network under salinity stress was constructed using a reverse engineering method on published genome-wide expression profiles. In this study, the SOS regulatory network constructed contains 70 genes, of which 27 are highly interconnected transcription factors. According to the expression feature of key genes in SOS signaling pathway, distinct expression patterns of the regulatory network were identified.