Cargando…

Analysis of Microbiota Persistence in Quebec’s Terroir Cheese Using a Metabarcoding Approach

Environmental short amplicon sequencing, or metabarcoding, is commonly used to characterize the bacterial and fungal microbiota of cheese. Comparisons between different metabarcoding studies are complicated by the use of different gene markers. Here, we systematically compare different metabarcoding...

Descripción completa

Detalles Bibliográficos
Autores principales: Raymond-Fleury, Annick, Lessard, Marie-Hélène, Chamberland, Julien, Pouliot, Yves, Dugat-Bony, Eric, Turgeon, Sylvie L., St-Gelais, Daniel, Labrie, Steve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316450/
https://www.ncbi.nlm.nih.gov/pubmed/35889100
http://dx.doi.org/10.3390/microorganisms10071381
_version_ 1784754815461490688
author Raymond-Fleury, Annick
Lessard, Marie-Hélène
Chamberland, Julien
Pouliot, Yves
Dugat-Bony, Eric
Turgeon, Sylvie L.
St-Gelais, Daniel
Labrie, Steve
author_facet Raymond-Fleury, Annick
Lessard, Marie-Hélène
Chamberland, Julien
Pouliot, Yves
Dugat-Bony, Eric
Turgeon, Sylvie L.
St-Gelais, Daniel
Labrie, Steve
author_sort Raymond-Fleury, Annick
collection PubMed
description Environmental short amplicon sequencing, or metabarcoding, is commonly used to characterize the bacterial and fungal microbiota of cheese. Comparisons between different metabarcoding studies are complicated by the use of different gene markers. Here, we systematically compare different metabarcoding molecular targets using V3–V4 and V6–V8 regions of the bacterial 16S rDNA and fungal ITS1 and ITS2 regions. Taxonomic profiles varied depending on the molecular markers used. Based on data quality and detection capacity of the markers toward microorganisms usually associated with the dairy environment, the ribosomal regions V3–V4 and ITS2 were selected and further used to evaluate variability in the microbial ecosystem of terroir cheeses from the province of Quebec in Canada. Both fungal and bacterial ecosystem profiles were described for 32 different ready-to-eat bloomy-, washed- and natural-rind specialty cheese varieties. Among them, 15 were studied over two different production years. Using the Bray–Curtis dissimilarity index as an indicator of microbial shifts, we found that most variations could be explained by either a voluntary change in starter or ripening culture composition, or by changes in the cheesemaking technology. Overall, our results suggest the persistence of the microbiota between the two years studied—these data aid understanding of cheese microbiota composition and persistence during cheese ripening.
format Online
Article
Text
id pubmed-9316450
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-93164502022-07-27 Analysis of Microbiota Persistence in Quebec’s Terroir Cheese Using a Metabarcoding Approach Raymond-Fleury, Annick Lessard, Marie-Hélène Chamberland, Julien Pouliot, Yves Dugat-Bony, Eric Turgeon, Sylvie L. St-Gelais, Daniel Labrie, Steve Microorganisms Article Environmental short amplicon sequencing, or metabarcoding, is commonly used to characterize the bacterial and fungal microbiota of cheese. Comparisons between different metabarcoding studies are complicated by the use of different gene markers. Here, we systematically compare different metabarcoding molecular targets using V3–V4 and V6–V8 regions of the bacterial 16S rDNA and fungal ITS1 and ITS2 regions. Taxonomic profiles varied depending on the molecular markers used. Based on data quality and detection capacity of the markers toward microorganisms usually associated with the dairy environment, the ribosomal regions V3–V4 and ITS2 were selected and further used to evaluate variability in the microbial ecosystem of terroir cheeses from the province of Quebec in Canada. Both fungal and bacterial ecosystem profiles were described for 32 different ready-to-eat bloomy-, washed- and natural-rind specialty cheese varieties. Among them, 15 were studied over two different production years. Using the Bray–Curtis dissimilarity index as an indicator of microbial shifts, we found that most variations could be explained by either a voluntary change in starter or ripening culture composition, or by changes in the cheesemaking technology. Overall, our results suggest the persistence of the microbiota between the two years studied—these data aid understanding of cheese microbiota composition and persistence during cheese ripening. MDPI 2022-07-09 /pmc/articles/PMC9316450/ /pubmed/35889100 http://dx.doi.org/10.3390/microorganisms10071381 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Raymond-Fleury, Annick
Lessard, Marie-Hélène
Chamberland, Julien
Pouliot, Yves
Dugat-Bony, Eric
Turgeon, Sylvie L.
St-Gelais, Daniel
Labrie, Steve
Analysis of Microbiota Persistence in Quebec’s Terroir Cheese Using a Metabarcoding Approach
title Analysis of Microbiota Persistence in Quebec’s Terroir Cheese Using a Metabarcoding Approach
title_full Analysis of Microbiota Persistence in Quebec’s Terroir Cheese Using a Metabarcoding Approach
title_fullStr Analysis of Microbiota Persistence in Quebec’s Terroir Cheese Using a Metabarcoding Approach
title_full_unstemmed Analysis of Microbiota Persistence in Quebec’s Terroir Cheese Using a Metabarcoding Approach
title_short Analysis of Microbiota Persistence in Quebec’s Terroir Cheese Using a Metabarcoding Approach
title_sort analysis of microbiota persistence in quebec’s terroir cheese using a metabarcoding approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316450/
https://www.ncbi.nlm.nih.gov/pubmed/35889100
http://dx.doi.org/10.3390/microorganisms10071381
work_keys_str_mv AT raymondfleuryannick analysisofmicrobiotapersistenceinquebecsterroircheeseusingametabarcodingapproach
AT lessardmariehelene analysisofmicrobiotapersistenceinquebecsterroircheeseusingametabarcodingapproach
AT chamberlandjulien analysisofmicrobiotapersistenceinquebecsterroircheeseusingametabarcodingapproach
AT pouliotyves analysisofmicrobiotapersistenceinquebecsterroircheeseusingametabarcodingapproach
AT dugatbonyeric analysisofmicrobiotapersistenceinquebecsterroircheeseusingametabarcodingapproach
AT turgeonsylviel analysisofmicrobiotapersistenceinquebecsterroircheeseusingametabarcodingapproach
AT stgelaisdaniel analysisofmicrobiotapersistenceinquebecsterroircheeseusingametabarcodingapproach
AT labriesteve analysisofmicrobiotapersistenceinquebecsterroircheeseusingametabarcodingapproach