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Functional decoding reveals a hidden regulatory layer of the Salmonella transcriptome during infection

Bacterial transcriptomes contain extensive, largely unexplored regulatory information beyond annotated genes, including small regulatory RNAs (sRNAs), yet distinguishing functionally active transcripts from the broader non-coding transcriptome remains a fundamental challenge, particularly in the context of host-pathogen interactions. Here, we develop an unbiased highthroughput functional…

Salmonella enterica, the causative agent of typhoid fever and salmonellosis, employs a vast, previously unexplored regulatory layer within its transcriptome during infection of host cells. A team of researchers has devised a high-throughput screening technique to uncover the functional significance of this hidden regulatory network.

By generating a pooled library of 875 RNA fragments produced under infection-relevant conditions, the scientists were able to pinpoint specific regulatory activities that influence the bacterium's ability to invade and survive within its host's macrophages.

The screening process revealed stage-specific regulatory elements that differially modulate virulence-associated programs encoded within the SPI-1, SPI-4, and SPI-2 pathogenicity islands. Two key non-canonical sRNAs originating from the 5' untranslated regions of these islands were identified. One of these sRNAs suppresses the SPI-1 and SPI-4 secretion systems, which are crucial for bacterial adhesion and invasion.

Concurrently, the other sRNA promotes invasion-associated programs while simultaneously repressing pathways that facilitate intracellular survival.

These findings demonstrate that Salmonella's regulatory activities extend beyond the direct control of individual virulence factors, highlighting a broader, posttranscriptional layer of gene regulation. This emerging regulatory network enables the bacterium to rapidly adapt to the varying demands posed by the host environment during infection.

The researchers' methodology provides a scalable framework for extracting functional regulatory information from bacterial transcriptomes under specific conditions, offering a valuable tool for elucidating the complex host-pathogen interactions that drive disease progression.

Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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