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Small proteins, often defined as shorter than 50 amino acids, have been implicated
in fundamental cellular processes. Despite this, they have been largely understudied throughout all domains of life, since their size often makes their identification and characterization challenging.
This work addressed the knowledge gap surrounding small proteins with a focus
on the model bacterial pathogen Salmonella Typhimurium. In a first step,
new small proteins were identified with a combination of computational and experimental approaches. Infection-relevant datasets were then investigated with
the updated Salmonella annotation to prioritize promising candidates involved in virulence.
To implement the annotation of new small proteins, predictions from the algorithm
sPepFinder were merged with those derived from Ribo-seq. These were added to the Salmonella annotation and used to (re)analyse different datasets. Information
regarding expression during infection (dual RNA-seq) and requirement for virulence (TraDIS) was collected for each given coding sequence. In parallel,
Grad-seq data were mined to identify small proteins engaged in intermolecular
interactions.
The combination of dual RNA-seq and TraDIS lead to the identification of small
proteins with features of virulence factors, namely high intracellular induction
and a virulence phenotype upon transposon insertion. As a proof of principle of
the power of this approach in highlighting high confidence candidates, two small
proteins were characterized in the context of Salmonella infection.
MgrB, a known regulator of the PhoPQ two-component system, was shown to be essential for the infection of epithelial cells and macrophages, possibly via its stabilizing effect on flagella or by interacting with other sensor kinases of twocomponent
systems. YjiS, so far uncharacterized in Salmonella, had an opposite role in infection, with its deletion rendering Salmonella hypervirulent. The mechanism underlying this, though still obscure, likely relies on the interaction with
inner-membrane proteins.
Overall, this work provides a global description of Salmonella small proteins in
the context of infection with a combinatorial approach that expedites the identification
of interesting candidates. Different high-throughput datasets available for
a broad range of organisms can be analysed in a similar manner with a focus on small proteins. This will lead to the identification of key factors in the regulation
of various processes, thus for example providing targets for the treatment of bacterial
infections or, in the case of commensal bacteria, for the modulation of the microbiota composition.