Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/58822
Título: Untargeted metabolomics approach of cross-adaptation in Salmonella enterica induced by major compounds of essential oils
Palavras-chave: Bacterial tolerance
Biofilm
Terpenes
Untargeted metabolomics
Discriminant analysis
Data do documento: 25-Mai-2022
Editor: Frontiers Media S.A.
Citação: PAGNOSSA, J. P. et al. Untargeted metabolomics approach of cross-adaptation in Salmonella enterica induced by major compounds of essential oils. Frontiers in Microbiology, [S.l.], v. 13, p. 1-11, May 2022. DOI: 10.3389/fmicb.2022.769110.
Resumo: Cross-adaptation phenomena in bacterial populations, induced by sublethal doses of antibacterial solutions, are a major problem in the field of food safety. In this regard, essential oils and their major compounds appear as an effective alternative to common sanitizers in food industry environments. The present study aimed to evaluate the untargeted metabolomics perturbations of Salmonella enterica serovar Enteritidis that has been previously exposed to the sublethal doses of the major components of essential oils: cinnamaldehyde, citral, and linalool (CIN, CIT, and LIN, respectively). Cinnamaldehyde appeared to be the most efficient compound in the assays evaluating the inhibitory effects [0.06% (v/v) as MBC]. Also, preliminary tests exhibited a phenotype of adaptation in planktonic and sessile cells of S. Enteritidis when exposed to sublethal doses of linalool, resulting in tolerance to previously lethal concentrations of citral. A metabolomics approach on S. Enteritidis provided an important insight into the phenomenon of cross-adaptation induced by sublethal doses of major compounds of some essential oils. In addition, according to the results obtained, when single molecules were used, many pathways may be involved in bacterial tolerance, which could be different from the findings revealed in previous studies regarding the use of phytocomplex of essential oils. Orthogonal projection to latent structures (OPLS) proved to be an interesting predictive model to demonstrate the adaptation events in pathogenic bacteria because of the global engagement to prevent and control foodborne outbreaks.
URI: http://repositorio.ufla.br/jspui/handle/1/58822
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