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Couvert, O.

Publications and source records attributed to Couvert, O..

2 recordsLinked to original sources

Global Phylogenomic Analysis and Genome Homology Reveals New rare Phylogenetic groups, "Synonymous" Species, and the Need to Simplify Nomenclature and Pathogens Identification in the Bacillus cereus Group

Bacteria in the Bacillus cereus Group sensu lato (Bc Group sl) may have serious detrimental effects on the health and safety of numerous foods. Over the past decade, phylogenetic studies have shifted toward the delineation of an increasing number of closely related species. For an improved understanding, this study attempts to fill existing gaps in the data to build a complete, robust and useful phylogenetic structure that contains all 29 currently described species. The obtained phylogenetic structure features all of the known major phylogenetic groups (designated I to VII) and their subgroups, but also highlights the existence of seven new rare groups or sub-groups. The positioning of the 29 species revealed that some are synonymous, which casts doubt on the accuracy of their genomic delimitation. Four species matched with the previously described sub-groups III-5, III-9 and III-12, which are specifically known for their virulence potential. B. thuringiensis strains were dispersed throughout the majors groups II to VI, demonstrating that this species is not a genomic species restricted to group IV but should be instead considered a variety largely spread into the Bc Group sl. A similar pattern was observed for B. mycoides in 10 phylogenetic groups/species. These results highlight the need for a simplified nomenclature of the Bc Group sl, which should be developed through a collaboration between relevant stakeholders. In the meantime, an updated version of the panC database is proposed, named CereusID, that integrates data from the present work and enables the identification of all phylogenetic entities within Bc Group sl: https://toolcereusid.shinyapps.io/cereusid/.

genomics↗

Differentiation of vegetative cells into spores: a kinetic model applied to Bacillus subtilis

Bacterial spores are formed within vegetative cells as thick-walled bodies resistant to physical and chemical treatments which allow the persistence and dissemination of the bacterial species. Spore-forming bacteria are natural contaminants of food raw materials and sporulation can occur in many environments from farm to fork. In order to predict spore formation over time, we developed a model that describes both the kinetics of growth and the differentiation of vegetative cells into spores. The model includes a classical growth model with the addition of only two sporulation-specific parameters: the probability of each vegetative cell to sporulate, and the time needed to form a spore once the cell is committed to sporulation. The growth-sporulation model was evaluated using the spore-forming, Gram positive bacterium, Bacillus subtilis and the biological meaning of the sporulation-specific parameters was validated using a derivative strain that produces the green fluorescent protein as a marker of sporulation initiation. The model accurately describes the growth and the sporulation kinetics in different environmental conditions and further provides valuable, physiological information on the temporal abilities of vegetative cells to differentiate into spores.\n\nImportanceThe growth-sporulation model we developed accurately describes growth and sporulation kinetics. It describes the progressive transition from vegetative cells to spores with sporulation parameters which are meaningful and relevant to the sporulation process. The first parameter is the mean time required for a vegetative cell to differentiate into a spore (i.e. the duration of the sporulation process). The second sporulation parameter is the probability of each vegetative cell forming a spore over time. This parameter assesses how efficient the sporulation process is, how fast vegetative cells sporulate and how synchronous the bacterial population is for sporulation. The model constitutes a very interesting tool to describe the growth and the sporulation kinetics in different environmental conditions and it provides qualitative information on the sporulation of a bacterial population over time.

microbiology↗