Article (Scientific journals)
The use of 16S rRNA gene metagenetic monitoring of refrigerated food products for understanding the kinetics of microbial subpopulations at different storage temperatures: the example of white pudding
Cauchie, Emilie; Gand, Mathieu; Kergourlay, Gilles et al.
2016In International Journal of Food Microbiology
Peer Reviewed verified by ORBi
 

Files


Full Text
Cauchie.pdf
Publisher postprint (623.22 kB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Microbial ecosystem; Jameson effect; Metagenetics; qPCR; Meat product; White pudding
Abstract :
[en] In order to control food losses and wastage,monitoring the microbial diversity of food products, during processing and storage is important, as studies have highlighted the metabolic activities of somemicroorganismswhich can lead to spoilage. Knowledge of this diversity can be greatly improved by using a metagenetic approach based on high throughput 16S rRNA gene sequencing, which enables a much higher resolution than culture-based methods. Moreover, the Jameson effect, a phenomenon described by Jameson in 1962, is often used to classify bacterial strains within an ecosystem. According to this, we have studied the bacterial microbiota of Belgian white pudding during storage at different temperatures using culture-dependent and independent methods. The product was inoculated with a mix of dominant strains previously isolated from this foodstuff at the end of its shelf life (Carnobacterium maltaromaticum, Lactobacillus fuchuensis, Lactobacillus graminis, Lactobacillus oligofermentans, Lactococcus lactis, Leuconostoc mesenteroides, Raoultella terrigena and Serratia sp.). Daily during 16 days, the absolute abundance of inoculated strain was monitored by combining total count on plate agar and metagenetic analysis. The resultswere confirmed by qPCR analysis. The growth of each specieswasmodelled for each temperature conditions, representative of good or bad storage practices. These data allowed the bacterial strains subdivision into three classes based on criteria of growth parameters for the studied temperature: the “dominant”, the “subdominant” and the “inhibited” bacterial species, according to their maximal concentration (Nmax, log CFU/g), growth rate (μmax, 1/h) and time to reach the stationary phase (TRSP, days). Thereby, depending on the storage conditions, these data have permitted to follow intrinsically the evolution of each strain on the bacterial ecosystemof Belgianwhite pudding. Interestingly, it has shown that the reliability of the Jameson effect can be discussed. For example, at 4 °C when Lactococcus lactis and Serratia sp. stopped growth at day 12, at the same time Carnobacterium maltaromaticum reached its maximal concentration and entered its stationary phase. In opposition to this, it can be noticed that in the same condition, the “sub-dominant” organisms continued their growth independently of the “dominant” species behaviour. In this case, the Jameson effect was not illustrated. This pattern is described for all storage conditions with the same strain classifications. These results highlighted the importance of combining metagenetic analysis and classical methods, with modelling, to offer a new tool for studying the evolution ofmicroorganisms present in perishable foodwithin different environmental conditions.
Disciplines :
Microbiology
Author, co-author :
Cauchie, Emilie ;  Université de Liège > Département de sciences des denrées alimentaires (DDA) > Analyse des denrées alimentaires
Gand, Mathieu;  Institut Scientifiques de Santé Publique > Maladies transmissibles et infectieuses > Maladies bactériennes
Kergourlay, Gilles ;  Université de Liège > Département de sciences des denrées alimentaires (DDA) > Microbiologie des denrées alimentaires
Taminiau, Bernard  ;  Université de Liège > Département de sciences des denrées alimentaires (DDA) > Microbiologie des denrées alimentaires
Delhalle, Laurent ;  KeyFood platform
Korsak Koulagenko, Nicolas ;  Université de Liège > Département de sciences des denrées alimentaires (DDA) > Département de sciences des denrées alimentaires (DDA)
Daube, Georges  ;  Université de Liège > Département de sciences des denrées alimentaires (DDA) > Microbiologie des denrées alimentaires
Language :
English
Title :
The use of 16S rRNA gene metagenetic monitoring of refrigerated food products for understanding the kinetics of microbial subpopulations at different storage temperatures: the example of white pudding
Publication date :
2016
Journal title :
International Journal of Food Microbiology
ISSN :
0168-1605
eISSN :
1879-3460
Publisher :
Elsevier Science, Amsterdam, Netherlands
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
METAMODEL
Funders :
SPW DGO6 - Service Public de Wallonie. Economie, Emploi, Recherche [BE]
Available on ORBi :
since 16 November 2016

Statistics


Number of views
179 (21 by ULiège)
Number of downloads
638 (8 by ULiège)

Scopus citations®
 
16
Scopus citations®
without self-citations
13
OpenCitations
 
15

Bibliography


Similar publications



Contact ORBi