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Provedor de dados:  ArchiMer
País:  France
Título:  New Insight into Antimicrobial Compounds from Food and Marine-Sourced Carnobacterium Species through Phenotype and Genome Analyses
Autores:  Begrem, Simon
Ivaniuk, Flora
Gigout Chevalier, Frederique
Kolypczuk, Laetitia
Bonnetot, Sandrine
Leroi, Francoise
Grovel, Olivier
Delbarre-ladrat, Christine
Passerini, Delphine
Data:  2020-07
Ano:  2020
Palavras-chave:  Lactic acid bacteria
Antimicrobial activity
Hydrogen peroxide
Natural product
Genome mining
Resumo:  Carnobacterium maltaromaticum and Carnobacterium divergens, isolated from food products, are lactic acid bacteria known to produce active and efficient bacteriocins. Other species, particularly those originating from marine sources, are less studied. The aim of the study is to select promising strains with antimicrobial potential by combining genomic and phenotypic approaches on large datasets comprising 12 Carnobacterium species. The biosynthetic gene cluster (BGCs) diversity of 39 publicly available Carnobacterium spp. genomes revealed 67 BGCs, distributed according to the species and ecological niches. From zero to six BGCs were predicted per strain and classified into four classes: terpene, NRPS (non-ribosomal peptide synthetase), NRPS-PKS (hybrid non-ribosomal peptide synthetase-polyketide synthase), RiPP (ribosomally synthesized and post-translationally modified peptide). In parallel, the antimicrobial activity of 260 strains from seafood products was evaluated. Among the 60% of active strains, three genomes were sequenced and submitted to a dereplication process. C. inhibens MIP2551 produced a high amountof H2O2, probably thanks to the presence of four oxidase-encoding genes. C. maltaromaticum EBP3019 and SF668 strains were highly efficient against Listeria monocytogenes. A new extracellular 16 kDa unmodified bacteriocin in the EBP3019 strain and five different bacteriocins in SF668 were highlighted. In this study, the overview of antimicrobial BGC and inhibitory activities of Carnobacterium spp. allowed the prediction of potential innovative natural products that could be relevant for biotechnological applications
Tipo:  Text
Idioma:  Inglês

Editor:  MDPI AG
Formato:  application/pdf
Fonte:  Microorganisms (2076-2607) (MDPI AG), 2020-07 , Vol. 8 , N. 7 , P. 1093 (21p.)
Direitos:  info:eu-repo/semantics/openAccess

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