Evidence map›Paper›PMID 25867897›Full record

ReviewPloS one2015

Overview of a surface-ripened cheese community functioning by meta-omics analyses.

Eric Dugat-Bony, Cécile Straub, Aurélie Teissandier, Djamila Onésime, Valentin Loux, Christophe Monnet, Françoise Irlinger, Sophie Landaud, Marie-Noëlle Leclercq-Perlat, Pascal Bento and 10 more

Abstract readReview
In one paragraph

Review in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Uncovering the Biotechnological Importance ofFoods (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Eric Dugat-BonyINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.
Cécile StraubINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.
Aurélie TeissandierAgroParisTech, UMR 518 Mathématiques et Informatiques Appliquées, F-75231, Paris, France; INRA, UMR 518 Mathématiques et Informatiques Appliquées, F-75231, Paris, France.
Djamila OnésimeINRA, Institut Micalis, F-78352, Jouy-en-Josas, France; AgroParisTech, Institut Micalis, F-78352, Jouy-en-Josas, France.
Valentin LouxINRA, UR1404 Mathématiques et Informatique Appliquées du Génome à l'Environnement, F-78352, Jouy-en-Josas, France.
Christophe MonnetINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.
Françoise IrlingerINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.
Sophie LandaudAgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France; INRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France.
Marie-Noëlle Leclercq-PerlatINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.
Pascal BentoINRA, UR1404 Mathématiques et Informatique Appliquées du Génome à l'Environnement, F-78352, Jouy-en-Josas, France.
Sébastien FraudActalia, F-74801, La Roche sur Foron, France.
Jean-François GibratINRA, UR1404 Mathématiques et Informatique Appliquées du Génome à l'Environnement, F-78352, Jouy-en-Josas, France.
Julie AubertAgroParisTech, UMR 518 Mathématiques et Informatiques Appliquées, F-75231, Paris, France; INRA, UMR 518 Mathématiques et Informatiques Appliquées, F-75231, Paris, France.
Frédéric FerINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 518 Mathématiques et Informatiques Appliquées, F-75231, Paris, France; INRA, UMR 518 Mathématiques et Informatiques Appliquées, F-75231, Paris, France.
Eric GuédonINRA, Institut Micalis, F-78352, Jouy-en-Josas, France; AgroParisTech, Institut Micalis, F-78352, Jouy-en-Josas, France.
Nicolas PonsINRA, US 1367 Metagenopolis, F-78352, Jouy-en-Josas, France.
Sean KennedyINRA, US 1367 Metagenopolis, F-78352, Jouy-en-Josas, France.
Jean-Marie BeckerichINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.
Dominique SwennenINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.
Pascal BonnarmeINRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CheeseMicrobiotaMetagenomicsTranscriptome

Identifiers

PMID25867897
PMCPMC4395090

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.