Parise Mariana Teixeira Dornelles, Parise Doglas, Aburjaile Flavia Figueira, Pinto Gomide Anne Cybelle, Kato Rodrigo Bentes, Raden Martin, Backofen Rolf, Azevedo Vasco Ariston de Carvalho, Baumbach Jan
Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Front Microbiol. 2021 Jun 17;12:656435. doi: 10.3389/fmicb.2021.656435. eCollection 2021.
Small RNAs (sRNAs) are one of the key players in the post-transcriptional regulation of bacterial gene expression. These molecules, together with transcription factors, form regulatory networks and greatly influence the bacterial regulatory landscape. Little is known concerning sRNAs and their influence on the regulatory machinery in the genus , despite its medical, veterinary and biotechnological importance. Here, we expand corynebacterial regulatory knowledge by integrating sRNAs and their regulatory interactions into the transcriptional regulatory networks of six corynebacterial species, covering four human and animal pathogens, and integrate this data into the CoryneRegNet database. To this end, we predicted sRNAs to regulate 754 genes, including 206 transcription factors, in corynebacterial gene regulatory networks. Amongst them, the sRNA Cd-NCTC13129-sRNA-2 is predicted to directly regulate , which indirectly regulates 66 genes, including the global regulator in . All of the sRNA-enriched regulatory networks of the genus have been made publicly available in the newest release of CoryneRegNet(www.exbio.wzw.tum.de/coryneregnet/) to aid in providing valuable insights and to guide future experiments.
小RNA(sRNA)是细菌基因表达转录后调控的关键参与者之一。这些分子与转录因子一起形成调控网络,并极大地影响细菌的调控格局。尽管该属在医学、兽医和生物技术方面具有重要意义,但关于sRNA及其对该属调控机制的影响却知之甚少。在这里,我们通过将sRNA及其调控相互作用整合到六种棒状杆菌物种的转录调控网络中,扩展了棒状杆菌的调控知识,这些物种包括四种人类和动物病原体,并将这些数据整合到CoryneRegNet数据库中。为此,我们在棒状杆菌基因调控网络中预测了sRNA调控的754个基因,包括206个转录因子。其中,sRNA Cd-NCTC13129-sRNA-2被预测直接调控,其间接调控66个基因,包括该属中的全局调控因子。棒状杆菌属所有富含sRNA的调控网络已在CoryneRegNet的最新版本(www.exbio.wzw.tum.de/coryneregnet/)中公开提供,以帮助提供有价值的见解并指导未来的实验。