Jensen Paul A, Zhu Zeyu, van Opijnen Tim
Biology Department, Boston College, Chestnut Hill, MA, USA.
Cell Rep. 2017 Aug 15;20(7):1705-1716. doi: 10.1016/j.celrep.2017.07.062.
Bacterial genes that change in expression upon environmental disturbance have commonly been seen as those that must also phenotypically matter. However, several studies suggest that differentially expressed genes are rarely phenotypically important. We demonstrate, for Gram-positive and Gram-negative bacteria, that these seemingly uncoordinated gene sets are involved in responses that can be linked through topological network analysis. However, the level of coordination is stress dependent. While a well-coordinated response is triggered in response to nutrient stress, antibiotics trigger an uncoordinated response in which transcriptionally and phenotypically important genes are neither linked spatially nor in their magnitude. Moreover, a gene expression meta-analysis reveals that genes with large fitness changes during stress have low transcriptional variation across hundreds of other conditions, and vice versa. Our work suggests that cellular responses can be understood through network models that incorporate regulatory and genetic relationships, which could aid drug target predictions and genetic network engineering.
在环境干扰下表达发生变化的细菌基因通常被视为那些在表型上也必定重要的基因。然而,多项研究表明,差异表达的基因在表型上很少具有重要意义。我们针对革兰氏阳性菌和革兰氏阴性菌证明,这些看似不协调的基因集参与了通过拓扑网络分析可以联系起来的反应。然而,协调水平取决于压力。在应对营养压力时会触发协调良好的反应,而抗生素则会引发不协调的反应,在这种反应中,转录和表型上重要的基因在空间上或其表达量上均无关联。此外,一项基因表达荟萃分析表明,在压力期间适应性变化较大的基因在数百种其他条件下的转录变异较低,反之亦然。我们的工作表明,可以通过纳入调控和遗传关系的网络模型来理解细胞反应,这有助于药物靶点预测和基因网络工程。