Wu Shuang, Pan Wenqi, Dong Ang
Center for Computational Biology, School of Grassland Science, Beijing Forestry University, Beijing 100083, China.
Beijing Key Laboratory of Topological Statistics and Applications for Complex Systems, Beijing Institute of Mathematical Sciences and Applications, Beijing 101408, China.
Int J Mol Sci. 2025 Apr 25;26(9):4091. doi: 10.3390/ijms26094091.
Euphrates poplar () is known as a system model to study the genomic mechanisms underlying the salt resistance of woody species. To characterize how dynamic gene regulatory networks (GRNs) drive the defense response of this species to salt stress, we performed mRNA sequencing of roots under short-term (ST) and long-term (LT) salt stress treatments across multiple time points. Comparisons of these transcriptomes revealed the diverged gene expression patterns between the ST and LT treated samples. Based on the informative, dynamic, omnidirectional, and personalized networks model (idopNetwork), inter- and intra-module networks were constructed across different time points for both the ST and LT groups. Through the analysis of the inter-module network, we identified module 4 as the hub, containing the largest number of genes. Further analysis of the gene network within module 4 revealed that gene had the most prominent interactions with other genes. Under short-term salt stress, gene interactions within the network were predominantly promoted, whereas under long-term stress, these interactions shifted towards inhibition. As for the gene ontology (GO) annotation of differentially expressed genes, the results suggest that may employ distinct response mechanisms during the early and late stages of salt stress. Taking together, these results offer valuable insights into the regulatory mechanism involved in 's stress response, advancing our understanding of complex biological processes.
幼发拉底杨()被认为是研究木本植物耐盐性基因组机制的系统模型。为了描述动态基因调控网络(GRNs)如何驱动该物种对盐胁迫的防御反应,我们在多个时间点对短期(ST)和长期(LT)盐胁迫处理下的根进行了mRNA测序。这些转录组的比较揭示了短期和长期处理样本之间不同的基因表达模式。基于信息性、动态性、全方位和个性化网络模型(idopNetwork),为短期和长期组在不同时间点构建了模块间和模块内网络。通过对模块间网络的分析,我们确定模块4为枢纽,包含最多的基因。对模块4内基因网络的进一步分析表明,基因与其他基因的相互作用最为突出。在短期盐胁迫下,网络内的基因相互作用主要被促进,而在长期胁迫下,这些相互作用转向抑制。至于差异表达基因的基因本体(GO)注释,结果表明在盐胁迫的早期和晚期可能采用不同的反应机制。综上所述,这些结果为幼发拉底杨应激反应的调控机制提供了有价值的见解,增进了我们对复杂生物过程的理解。