Probiotics are widely used for their health promoting effects, though a lot remain to be discovered, particularly on their mechanisms of action at the molecular level. The functional genomic approach is an appropriate method to decipher how probiotics may influence human cell fate and therefore contribute to their health benefit. In the present work, we focused on Shouchella clausii (formerly named Bacillus then Alkalihalobacillus clausii), a spore-forming bacterium that is commercially available as a probiotic for the prevention and the treatment of intestinal dysbiosis and related gastrointestinal disorders, such as diarrhoea. Several studies have demonstrated that S. clausii treatment modulated inflammatory and immune responses, as well as gut barrier functions. A functional genomic strategy was implemented to decipher the mechanisms by which S. clausii exerts its probiotic effects on human intestinal epithelial cells. To do so, a large genomic DNA fragment library was constructed for each of the four strains: O/C, N/R, SIN and T. A high throughput in vitro screening in human epithelial cells was then conducted, using the reporter gene strategy, targeting the nuclear factor kappa B (NF-κB) pathway and interleukin-10 (IL-10) gene expression. After an exhaustive in vitro screening of approximately a thousand clones per library, several clones modulating the NF-κB pathway in the HT-29 reporter cell line were identified. Among clone lysates, 1.1% (O/C), 1.4% (N/R), 2.0% (SIN), and 1.2% (T) were identified as biologically active on immune reporter systems (NF-κB and IL-10 expression). After transposon mutagenesis and a new set of screening and sequencing, 23 coding sequences (CDS) were identified, including one encoding for the glutamine synthetase, associated with NF-κB modulation, and six CDS for IL-10 modulation. The functional genomic strategy that was applied to S. clausii was an original approach to identify gene candidates that may explain the mechanisms of action of probiotics. However, further work is needed to validate the identified leads.

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http://dx.doi.org/10.1163/18762891-bja00050DOI Listing

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