Large-scale mapping of microbial diversity in artisanal Brazilian cheeses.


Journal

Food microbiology
ISSN: 1095-9998
Titre abrégé: Food Microbiol
Pays: England
ID NLM: 8601127

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 29 10 2018
revised: 12 12 2018
accepted: 22 12 2018
entrez: 2 2 2019
pubmed: 2 2 2019
medline: 19 4 2019
Statut: ppublish

Résumé

Brazilian artisanal cheeses are characterized by the use of raw milk and in some cases, natural starter cultures, known as "pingo", as well as following simple and traditional manufacturing technology. In this study, a large-scale screening of the microbial ecology of 11 different types of artisanal cheeses produced in five geographical areas of Brazil was performed. Besides, the specific origin-related microbial signatures were identified. Clear geography- and technology-based differences in the microbiota were observed. Lactic acid bacteria dominated in all cheeses although Enterobacteriaceae and Staphylococcus also occurred in North, Northeast and Central cheeses. Differences in the lactic acid bacteria patterns were also highlighted: Streptococcus, Leuconostoc, Lactococcus and Lactobacillus were differently combined in terms of relative abundance according to product type and region of production. This study provides a comprehensive, unprecedented microbiological mapping of Brazilian cheeses, highlighting the impact of geographical origin and mode of production on microbial diversity. The results obtained will help to plan an evaluation of microbial contamination sources that will need to be studied for the improvement of cheese quality and safety.

Identifiants

pubmed: 30704595
pii: S0740-0020(18)31027-X
doi: 10.1016/j.fm.2018.12.014
pii:
doi:

Substances chimiques

DNA, Bacterial 0
RNA, Ribosomal, 16S 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

40-49

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Bruna Akie Kamimura (BA)

Department of Food Science, Faculty of Food Engineering, University of Campinas, Campinas, SP, Brazil; Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Portici, Italy.

Francesca De Filippis (F)

Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Portici, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Naples, Italy.

Anderson S Sant'Ana (AS)

Department of Food Science, Faculty of Food Engineering, University of Campinas, Campinas, SP, Brazil. Electronic address: and@unicamp.br.

Danilo Ercolini (D)

Department of Agricultural Sciences, Division of Microbiology, University of Naples Federico II, Portici, Italy; Task Force on Microbiome Studies, University of Naples Federico II, Naples, Italy. Electronic address: ercolini@unina.it.

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Classifications MeSH