The putative transcriptional regulator STM14_3563 facilitates Salmonella Typhimurium pathogenicity by activating virulence-related genes.
Xiaorui SongHuan ZhangXiaoqian LiuJian YuanPeisheng WangRunxia LvBin YangDi HuangLingyan JiangPublished in: International microbiology : the official journal of the Spanish Society for Microbiology (2019)
Salmonella enterica serovar Typhimurium (S. Typhimurium) is an important gram-negative intracellular pathogen that infects humans and animals. More than 50 putative regulatory proteins have been identified in the S. Typhimurium genome, but few have been clearly defined. In this study, the physiological function and regulatory role of STM14_3563, which encodes a ParD family putative transcriptional regulator in S. Typhimurium, were investigated. Macrophage replication assays and mice experiments revealed that S. Typhimurium showed reduced growth in murine macrophages and attenuated virulence in mice owing to deletion of STM14_3563 gene. RNA sequencing (RNA-Seq) data showed that STM14_3563 exerts wide-ranging effects on gene expression in S. Typhimurium. STM14_3563 activates the expression of several genes encoded in Salmonella pathogenicity island (SPI)-6, SPI-12, and SPI-13, which are required for intracellular replication of S. Typhimurium. Additionally, the global transcriptional regulator Fis was found to directly activate STM14_3563 expression by binding to the STM14_3563 promoter. These results indicate that STM14_3563 is involved in the regulation of a variety of virulence-related genes in S. Typhimurium that contribute to its growth in macrophages and virulence in mice.
Keyphrases
- listeria monocytogenes
- gene expression
- transcription factor
- escherichia coli
- biofilm formation
- pseudomonas aeruginosa
- single cell
- rna seq
- staphylococcus aureus
- gram negative
- poor prognosis
- multidrug resistant
- genome wide
- metabolic syndrome
- high fat diet induced
- type diabetes
- signaling pathway
- machine learning
- reactive oxygen species
- cystic fibrosis
- long non coding rna
- heat shock
- candida albicans
- deep learning