ArticleBMC genomics2024
Quorum sensing in bacteria: in silico protein analysis, ecophysiology, and reconstruction of their evolutionary history.
Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Phylogenetic analysis of xylan-degrading hemicellulases fromFrontiers in microbiology · 2026Article
- Dynamics of rice microbiome: insights into functional diversity, environmental influences, response to stress, and applications.World journal of microbiology & biotechnology · 2025Review
- Quorum sensing as a promising tool for enhancing the performance of bioelectrochemical systems: a review.3 Biotech · 2025Review
- From single cells to communities: Mathematical perspectives on bacterial quorum sensing.Computational and structural biotechnology journal · 2025Review
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Authors and funding
5 authors.
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Abstract
backgroundQuorum sensing (QS) is a sophisticated cell-to-cell signalling mechanism that allows the coordination of important processes in microbial populations. The AI-1 and AI-2 autoinducer systems are among the best characterized bacterial QS systems at the genetic level.
resultsIn this study, we present data derived from in silico screening of QS proteins from bacterial genomes available in public databases. Sequence analyses allowed identifying candidate sequences of known QS systems that were used to build phylogenetic trees. Eight categories were established according to the number of genes from the two major QS systems present in each genome, revealing a correlation with specific taxa, lifestyles or metabolic traits. Many species had incomplete QS systems, encoding the receptor protein but not the biosynthesis of the quorum sensing molecule (QSMs). Reconstruction of the evolutionary history of the LuxR family and prediction of the 3D structure of the ancestral protein suggested their monomeric configuration in the absence of the signal molecule and the presence of a cavity for its binding.
conclusionsHere we correlate the taxonomic affiliation and lifestyle of bacteria from different genera with the QS systems encoded in their genomes. Moreover, we present the first ancestral reconstruction of the LuxR QS receptors, providing further insight in their evolutionary history.
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