This site is under development. For the current active site, go to bcbhub.csic.es.

Orcid Publication

Detalle de: Quorum Sensing via Autoinducer‐2 Promotes Colonisation and Host Adaptation in B. bifidum PRL2010

Title Quorum Sensing via Autoinducer‐2 Promotes Colonisation and Host Adaptation in B. bifidum PRL2010
Abstract

Autoinducer‐2 (AI‐2) is a key signalling molecule that in many bacteria facilitates interspecies communication by regulating gene expression in response to population density through a process known as quorum sensing. While this signalling mechanism has been extensively studied in Gram‐negative bacteria, its role in the genus Bifidobacterium remains poorly understood. In this study, an in silico analysis was conducted to examine the distribution of the luxS gene, which encodes the enzyme that synthesises the AI‐2 precursor, across Bifidobacterium genomes. Our analysis revealed that luxS is ubiquitously present in all publicly available bifidobacterial genomes. To explore the functional implications of luxS , gene expression profiling was performed on the model strain B. bifidum PRL2010 and its isogenic luxS insertion mutant, both grown in a medium simulating the human gut environment. RNA sequencing results indicated that disruption of luxS impairs the mutant strain's ability to (i) interact and communicate with the host, (ii) transport sugars, (iii) internalise potassium and iron, and (iv) cope with stress conditions. Collectively, these findings highlight the crucial role of AI‐2 in promoting colonisation and ensuring the persistence of PRL2010 within the competitive ecosystem of the human gut.

Apa Reference Turroni, F., Tarracchini, C., Lugli, G.A., Vergna, L.M., Alessandri, G., Rizzo, S.M., Bianchi, M.G., Coenye, T., Selleri, E., Bussolati, O., van Sinderen, D. & Ventura, M. (2025). Quorum Sensing via Autoinducer‐2 Promotes Colonisation and Host Adaptation in B. bifidum PRL2010. Microbial Biotechnology, 18(9). 10.1111/1751-7915.70231
Doi 10.1111/1751-7915.70231
Publication Date Sep 2025
Publication Type Article
Researcher Laura Vergna
Ontology Transcriptomics, RNA Sequencing (RNA-seq), Artificial Intelligence, Expression Profiling, Computational models and simulations, Mutation Analysis and design
Research Groups
Tools

Suggest changes

Publications are synced automatically from ORCID, so they can't be edited here directly. Spotted something wrong? Let us know below and we'll take care of it.

← Return to Home