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Overview of a Surface-Ripened Cheese Community Functioning by Meta-Omics Analyses

Authors :
Sophie Landaud
Sébastien Fraud
Cécile Straub
Julie Aubert
Djamila Onesime
Eric Dugat-Bony
Jean-François Gibrat
Françoise Irlinger
Nicolas Pons
Dominique Swennen
Aurélie Teissandier
Christophe Monnet
Eric Guédon
Sean Kennedy
Jean-Marie Beckerich
Valentin Loux
Pascal Bento
M.-N. Leclercq-Perlat
Pascal Bonnarme
Frédéric Fer
Génie et Microbiologie des Procédés Alimentaires (GMPA)
Institut National de la Recherche Agronomique (INRA)-AgroParisTech
Mathématiques et Informatique Appliquées (MIA-Paris)
AgroParisTech-Institut National de la Recherche Agronomique (INRA)
MICrobiologie de l'ALImentation au Service de la Santé (MICALIS)
Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] (MaIAGE)
Institut National de la Recherche Agronomique (INRA)
ACTALIA [Villers-Bocage]
MetaGenoPolis
This work was supported by the ExEco program (a joint metatranscriptomic and biochemical approach to the cheese ecosystem: for an improved monitoring of the expression of a complex food ecosystem) (ANR-09-ALIA-012-01), funded by the French National Research Agency (ANR).
We thank Serge Casaregola and Guillaume Morel (INRA, UMR1319 Micalis, Thiverval-Grignon, France) for providing the genome of G. candidum ATCC 204307, and Anne Sophie Sarthou and Jessie Castellote (INRA, UMR782 GMPA, Thiverval-Grignon, France) for technical assistance. We are grateful to our undergraduate bioinformatics students Maxime Ferrier, Roxane Boyer and Joeffrey Boggio (IUT Génie Biologique option bioinfomatique, Aurillac, France) for the development of scripts for functional classification, and Nicolas Parisot (Université d’Auvergne, Clermont-Ferrand, France) for supervising their work.
ANR-09-ALIA-0012,EXECO,Etude méta-transcriptomique et biochimique de l?écosystème fromager : pour un contrôle accru de l?EXpression d?un ECOsystème alimentaire complexe.(2009)
US 1367 MetaGénoPolis
Institut National de la Recherche Agronomique (INRA)-Département Microbiologie et Chaîne Alimentaire (MICA)
Institut National de la Recherche Agronomique (INRA)-MetaGénoPolis (MGP)
ExEco program - French National Research Agency (ANR) ANR-09-ALIA-012-01
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Source :
PLoS ONE, Vol 10, Iss 4, p e0124360 (2015), Plos One 4 (10), e0124360. (2015), PLoS ONE, PLoS ONE, Public Library of Science, 2015, 10 (4), pp.e0124360. ⟨10.1371/journal.pone.0124360⟩
Publication Year :
2015
Publisher :
Public Library of Science (PLoS), 2015.

Abstract

Cheese ripening is a complex biochemical process driven by microbial communities composed of both eukaryotes and prokaryotes. Surface-ripened cheeses are widely consumed all over the world and are appreciated for their characteristic flavor. Microbial community composition has been studied for a long time on surface-ripened cheeses, but only limited knowledge has been acquired about its in situ metabolic activities. We applied metagenomic, metatranscriptomic and biochemical analyses to an experimental surface-ripened cheese composed of nine microbial species during four weeks of ripening. By combining all of the data, we were able to obtain an overview of the cheese maturation process and to better understand the metabolic activities of the different community members and their possible interactions. Furthermore, differential expression analysis was used to select a set of biomarker genes, providing a valuable tool that can be used to monitor the cheese-making process.

Details

ISSN :
19326203
Volume :
10
Database :
OpenAIRE
Journal :
PLOS ONE
Accession number :
edsair.doi.dedup.....548277f1f034cb6b118cdd8783974b40
Full Text :
https://doi.org/10.1371/journal.pone.0124360