Dataset Information

Investigating AtcS in the Two Component Regulatory System of Treponema denticola

ABSTRACT: The ability of T. denticola to thrive during disease progression arises from its ability to adapt to changing environmental, immunological, and physicochemical conditions. Two component regulatory (TCR) systems are found in most bacteria and are used as sensory systems that allow bacteria to respond to changing environmental conditions. TCR systems consist of a histidine kinase and response regulator and when the appropriate stimulus occurs, the kinase autophosphorylates at a conserved histidine residue. The phosphate is transferred to a conserved aspartate residue in the receiver domain of the response regulator which results in conformational changes in the output domain. These conformational changes impact DNA binding, protein-protein interactions, or enzymatic activities that influence transcriptional and cellular activity. While AtcS sensor kinase and AtcR response regulator have shown to have growth-phase-regulated global regulatory potential, the molecular mechanisms and responses regulated by AtcSR need further elucidation. This study utilized genetic manipulation strategies in order to characterize the knockout of AtcS in T. denticola. RNAseq was utilized to compare differential gene expression between T. denticola wild-type (Wt) and knockout strain (KO) which showed downregulated genes involved in motility and chemotaxis. Motility and chemotaxis assays showed reduced motile and chemotactic capabilities in the KO. We have demonstrated the importance of AtcS in the regulation of virulence factors linked to motility, chemotaxis, and glycine-specific metabolism.

ORGANISM(S): Treponema denticola

PROVIDER: GSE277225 | GEO | 2025/05/28

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Transcriptome profiles were analyzed using the samples taken at the exponential and stationary phases during the cultivation of REL606 and MG1655 in LB medium. At the exponential growth phase, most highly expressed genes of B were those for replication, translation, or nucleotide transport and metabolism, while many of the K-12 genes were involved in cell motility, transcription, carbohydrate transport, or energy production. At the stationary phase, many of the genes highly expressed in B were for transport and metabolism of various amino acids and carbohydrates, whereas those in K-12 had functions related to cell motility, ribosomal subunit protein production, or energy generation. Many genes in REL606 and MG1655 showed highly distinct expression levels irrespective of growth conditions. Highly expressed genes in REL606 included those encoding enzymes for biosynthesis of L-arginine (argAGDECBHI) and branched-chain amino acid (ilvGMEDA), and those encoding a subunit of the L-arginine transporter (artJ), cytochrome b562 (cybC), subunits of the histidine ABC transporter (hisPJ), cytotoxins (hokED), outer membrane porin (ompF), L-arginine decarboxylase (speA), and cell division inhibitor (sulA). Highly expressed genes in MG1655 included those for chemotaxis (cheZYRWA, tap, trg, tsr), Lon protease (lon), C4-dicarboxylate-sensing histidine kinase (dcuS), chaperones (clpB, dnaK, groES, htpG, ibpA), the major subunit of type 1 fimbriae (fimA), a regulator of flagellar biosynthesis (flhC), glycerol-3-phosphate-dehydrogenase (glpABCD), glycerophosphoryl diester phosphodiesterase (glpQ), glycerol-3-phosphate transporter (glpT), hydrogenase 2 (hybCBO), outer membrane porins (nmpC, ompA, ompC), and galactitol transport and metabolism (gatYZC). All microarray experiments were performed in duplicate with dye-swapping. The probes were spotted in duplicate onto the microarray. Thus, the log2 of the intensity ratio with the two dyes for each spot was calculated from up to four values from the duplicated spot on the microarray and the dye-swap experiment.

Dataset Information

Investigating AtcS in the Two Component Regulatory System of Treponema denticola

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets