PAS Domain-Containing Chemoreceptors Influence the Signal Sensing and Intestinal Colonization of Vibrio cholerae .
Rundong ShuChaoqun YuanBojun LiuYang SongLeqi HouPanpan RenHui WangChunhong CuiPublished in: Genes (2022)
Bacterial chemotaxis is the phenomenon in which bacteria migrate toward a more favorable niche in response to chemical cues in the environment. The methyl-accepting chemotaxis proteins (MCPs) are the principal sensory receptors of the bacterial chemotaxis system. Aerotaxis is a special form of chemotaxis in which oxygen serves as the signaling molecule; the process is dependent on the aerotaxis receptors (Aer) containing the Per-Arnt-Sim (PAS) domain. Over 40 MCPs are annotated on the genome of Vibrio cholerae ; however, little is known about their functions. We investigated six MCPs containing the PAS domain in V. cholerae El Tor C6706, namely aer2 , aer3, aer4, aer5, aer6, and aer7 . Deletion analyses of each aer homolog gene indicated that these Aer receptors are involved in aerotaxis, chemotaxis, biofilm formation, and intestinal colonization. Swarming motility assay indicated that the aer2 gene was responsible for sensing the oxygen gradient independent of the other five homologs. When bile salts and mucin were used as chemoattractants, each Aer receptor influenced the chemotaxis differently. Biofilm formation was enhanced by overexpression of the aer6 and aer7 genes. Moreover, deletion of the aer2 gene resulted in better bacterial colonization of the mutant in adult mice; however, virulence gene expression was unaffected. These data suggest distinct roles for different Aer homologs in V. cholerae physiology.
Keyphrases
- biofilm formation
- pseudomonas aeruginosa
- gene expression
- staphylococcus aureus
- genome wide
- escherichia coli
- candida albicans
- dna methylation
- copy number
- machine learning
- metabolic syndrome
- high throughput
- insulin resistance
- electronic health record
- young adults
- mass spectrometry
- big data
- artificial intelligence
- genome wide identification
- genome wide analysis
- data analysis