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...
Autores principales: | , , , , , , , |
---|---|
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 |