Shi Mengliang, Zhang Xiaoqing, Pei Guangsheng, Chen Lei, Zhang Weiwen
Laboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin UniversityTianjin, China; Key Laboratory of Systems Bioengineering - Ministry of Education, Tianjin UniversityTianjin, China; SynBio Research Platform, Collaborative Innovation Center of Chemical Science and EngineeringTianjin, China.
Laboratory of Synthetic Microbiology, School of Chemical Engineering and Technology, Tianjin UniversityTianjin, China; Key Laboratory of Systems Bioengineering - Ministry of Education, Tianjin UniversityTianjin, China; SynBio Research Platform, Collaborative Innovation Center of Chemical Science and EngineeringTianjin, China; Center for Biosafety Research and Strategy, Tianjin UniversityTianjin, China.
Front Microbiol. 2017 Feb 21;8:280. doi: 10.3389/fmicb.2017.00280. eCollection 2017.
Functions of transcriptional regulators (TRs) are still poorly understood in the model cyanobacterium sp. PCC 6803. To address the issue, we constructed knockout mutants for 32 putative TR-encoding genes of , and comparatively analyzed their phenotypes under autotrophic growth condition and metabolic profiles using liquid chromatography-mass spectrometry-based metabolomics. The results showed that only four mutants of TR genes, (), (), (), and (), showed differential growth patterns in BG11 medium when compared with the wild type; however, in spite of no growth difference observed for the remaining TR mutants, metabolomic profiling showed that they were different at the metabolite level, suggesting significant functional diversity of TRs in . In addition, an integrative metabolomic and gene families' analysis of all TR mutants led to the identification of five pairs of TR genes that each shared close relationship in both gene families and metabolomic clustering trees, suggesting possible conserved functions of these TRs during evolution. Moreover, more than a dozen pairs of TR genes with different origin and evolution were found with similar metabolomic profiles, suggesting a possible functional convergence of the TRs during genome evolution. Finally, a protein-protein network analysis was performed to predict regulatory targets of TRs, allowing inference of possible regulatory gene targets for 4 out of five pairs of TRs. This study provided new insights into the regulatory functions and evolution of TR genes in .
在模式蓝藻集胞藻PCC 6803中，转录调节因子（TRs）的功能仍未得到充分了解。为了解决这个问题，我们构建了集胞藻PCC 6803中32个假定的TR编码基因的敲除突变体，并使用基于液相色谱 - 质谱联用的代谢组学方法，比较分析了它们在自养生长条件下的表型和代谢谱。结果表明，与野生型相比，只有四个TR基因突变体，即（基因名称1）、（基因名称2）、（基因名称3）和（基因名称4），在BG11培养基中表现出不同的生长模式；然而，尽管其余TR基因突变体未观察到生长差异，但代谢组分析表明它们在代谢物水平上存在差异，这表明集胞藻PCC 6803中TRs具有显著的功能多样性。此外，对所有TR基因突变体进行综合代谢组学和基因家族分析，鉴定出五对TR基因，它们在基因家族和代谢组聚类树中都具有密切关系，这表明这些TRs在进化过程中可能具有保守功能。此外，发现十几对起源和进化不同的TR基因具有相似的代谢组谱，这表明TRs在基因组进化过程中可能存在功能趋同。最后，进行了蛋白质 - 蛋白质网络分析以预测TRs的调控靶点，从而推断出五对TRs中四对的可能调控基因靶点。这项研究为集胞藻PCC 6803中TR基因的调控功能和进化提供了新的见解。
