Evidence map›Paper›PMID 25333463›Full record

ArticleThe ISME journal2015

Origin and ecological selection of core and food-specific bacterial communities associated with meat and seafood spoilage.

Stéphane Chaillou, Aurélie Chaulot-Talmon, Hélène Caekebeke, Mireille Cardinal, Souad Christieans, Catherine Denis, Marie Hélène Desmonts, Xavier Dousset, Carole Feurer, Erwann Hamon and 13 more

Abstract read
In one paragraph

Article in The ISME journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–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

93 citing papers in PubMed.

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  14. Growth Reduction ofFoods (Basel, Switzerland) · 2024
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  20. Review

33 more citing papers are in PubMed but not listed here.

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

23 authors.

Stéphane Chaillou1] INRA, UMR1319 Micalis, Lactic Acid Bacteria & Meat Microbial Ecosystems Laboratory, Paris, France [2] AgroParisTech, UMR Micalis, Paris, France.
Aurélie Chaulot-Talmon1] INRA, UMR1319 Micalis, Lactic Acid Bacteria & Meat Microbial Ecosystems Laboratory, Paris, France [2] AgroParisTech, UMR Micalis, Paris, France.
Hélène CaekebekePlate-Forme d'Innovations Nouvelles Vagues, Boulogne-sur-mer, France.
Mireille CardinalIfremer, Nantes, France.
Souad ChristieansADIV, Clermont-Ferrand, France.
Catherine DenisACTALIA, Villers Bocage, France.
Marie Hélène DesmontsAérial, Strasbourg, France.
Xavier Dousset1] INRA, UMR1014 Secalim, Nantes, France [2] LUNAM Université, Oniris, Nantes, France.
Carole FeurerIFIP, Paris, France.
Erwann HamonAérial, Strasbourg, France.
Jean-Jacques JoffraudIfremer, Nantes, France.
Stéphanie La CarbonaACTALIA, Villers Bocage, France.
Françoise LeroiIfremer, Nantes, France.
Sabine LeroyINRA, UR454 Microbiologie, Saint-Genès-Champanelle, France.
Sylvie LorreBiocéane, Nantes, France.
Sabrina Macé1] INRA, UMR1014 Secalim, Nantes, France [2] LUNAM Université, Oniris, Nantes, France.
Marie-France Pilet1] INRA, UMR1014 Secalim, Nantes, France [2] LUNAM Université, Oniris, Nantes, France.
Hervé Prévost1] INRA, UMR1014 Secalim, Nantes, France [2] LUNAM Université, Oniris, Nantes, France.
Marina RivollierADIV, Clermont-Ferrand, France.
Dephine RouxPlate-Forme d'Innovations Nouvelles Vagues, Boulogne-sur-mer, France.
Régine TalonINRA, UR454 Microbiologie, Saint-Genès-Champanelle, France.
Monique Zagorec1] INRA, UMR1014 Secalim, Nantes, France [2] LUNAM Université, Oniris, Nantes, France.
Marie-Christine Champomier-Vergès1] INRA, UMR1319 Micalis, Lactic Acid Bacteria & Meat Microbial Ecosystems Laboratory, Paris, France [2] AgroParisTech, UMR Micalis, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbial spoilage of meat and seafood products with short shelf lives is responsible for a significant amount of food waste. Food spoilage is a very heterogeneous process, involving the growth of various, poorly characterized bacterial communities. In this study, we conducted 16S ribosomal RNA gene pyrosequencing on 160 samples of fresh and spoiled foods to comparatively explore the bacterial communities associated with four meat products and four seafood products that are among the most consumed food items in Europe. We show that fresh products are contaminated in part by a microbiota similar to that found on the skin and in the gut of animals. However, this animal-derived microbiota was less prevalent and less abundant than a core microbiota, psychrotrophic in nature, mainly originated from the environment (water reservoirs). We clearly show that this core community found on meat and seafood products is the main reservoir of spoilage bacteria. We also show that storage conditions exert strong selective pressure on the initial microbiota: alpha diversity in fresh samples was 189±58 operational taxonomic units (OTUs) but dropped to 27±12 OTUs in spoiled samples. The OTU assemblage associated with spoilage was shaped by low storage temperatures, packaging and the nutritional value of the food matrix itself. These factors presumably act in tandem without any hierarchical pattern. Most notably, we were also able to identify putative new clades of dominant, previously undescribed bacteria occurring on spoiled seafood, a finding that emphasizes the importance of using culture-independent methods when studying food microbiota.

Indexed as

Food ContaminationFood MicrobiologyMicrobiotaAnimalsBacteriaDNA Barcoding, TaxonomicEuropeMeatPolymerase Chain ReactionRNA, Ribosomal, 16SSeafoodRNA, Ribosomal, 16S

Identifiers

PMID25333463
PMCPMC4409155

What OpenQuestion holds

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Registered trials

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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.