Back

The ComRS-SigX pathway regulates natural transformation in Streptococcus ferus

Rued, B. E.; Federle, M. J.

2023-03-07 microbiology
10.1101/2023.03.06.531454 bioRxiv
Show abstract

The ability to take up and incorporate foreign DNA via natural transformation is a well-known characteristic of some species of Streptococcus, and is a mechanism that rapidly allows for the acquisition of antibacterial resistance. Here, we describe that the understudied species Streptococcus ferus is also capable of natural transformation and uses a system analogous to that identified in Streptococcus mutans. S. mutans natural transformation is under the control of the alternative sigma factor sigX (also known as comX), whose expression is induced by two types of peptide signals: CSP (competence stimulating peptide, encoded by comC) and XIP (sigX-inducing peptide, encoded by comS). These systems induce competence via either the two-component signal-transduction system ComDE or the RRNPP transcriptional regulator ComR, respectively. Protein and nucleotide homology searches identified putative orthologs of comRS and sigX in S. ferus, but not homologs of S. mutans blpRH (also known as comDE). We demonstrate that natural transformation in S. ferus is induced by a small, double-tryptophan containing competence-inducing peptide (XIP), akin to that of S. mutans, and requires the presence of the comR and sigX orthologs for efficient transformation. Additionally, we find that natural transformation is induced in S. ferus by both the native XIP and the XIP variant of S. mutans, implying that crosstalk between the two species is possible. This process has been harnessed to construct gene deletions in S. ferus and provides a method to genetically manipulate this understudied species. IMPORTANCENatural transformation is the process by which bacteria take up DNA and allows for acquisition of new genetic traits, including those involved in antibiotic resistance. This study demonstrates that the understudied species Streptococcus ferus is capable of natural transformation using a peptide-pheromone system like that previously identified in Streptococcus mutans and provides a framework for future studies concerning this organism.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.