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. 2020 Mar 20:30:105453.
doi: 10.1016/j.dib.2020.105453. eCollection 2020 Jun.

Large-scale multivariate dataset on the characterization of microbiota diversity, microbial growth dynamics, metabolic spoilage volatilome and sensorial profiles of two industrially produced meat products subjected to changes in lactate concentration and packaging atmosphere

Simon Poirier  1 , Ngoc-Du Martin Luong  2 , Valérie Anthoine  2 , Sandrine Guillou  2 , Jeanne-Marie Membré  2 , Nicolas Moriceau  2 , Sandrine Rezé  2 , Monique Zagorec  2 , Carole Feurer  3 , Bastien Frémaux  3 , Sabine Jeuge  3 , Emeline Robieu  3 , Marie Champomier-Vergès  1 , Gwendoline Coeuret  1 , Emilie Cauchie  4 , Georges Daube  4 , Nicolas Korsak  4 , Louis Coroller  5 , Noémie Desriac  5 , Marie-Hélène Desmonts  6 , Rodérick Gohier  6 , Dalal Werner  6 , Valentin Loux  7   8 , Olivier Rué  7   8 , Marie-Hélène Dohollou  9 , Tatiana Defosse  10 , Stéphane Chaillou  1
Affiliations

Large-scale multivariate dataset on the characterization of microbiota diversity, microbial growth dynamics, metabolic spoilage volatilome and sensorial profiles of two industrially produced meat products subjected to changes in lactate concentration and packaging atmosphere

Simon Poirier et al. Data Brief. .

Abstract

Data in this article provide detailed information on the diversity of bacterial communities present on 576 samples of raw pork or poultry sausages produced industrially in 2017. Bacterial growth dynamics and diversity were monitored throughout the refrigerated storage period to estimate the impact of packaging atmosphere and the use of potassium lactate as chemical preservative. The data include several types of analysis aiming at providing a comprehensive microbial ecology of spoilage during storage and how the process parameters do influence this phenomenon. The analysis includes: the gas content in packaging, pH, chromametric measurements, plate counts (total mesophilic aerobic flora and lactic acid bacteria), sensorial properties of the products, meta-metabolomic quantification of volatile organic compounds and bacterial community metagenetic analysis. Bacterial diversity was monitored using two types of amplicon sequencing (16S rRNA and GyrB encoding genes) at different time points for the different conditions (576 samples for gyrB and 436 samples for 16S rDNA). Sequencing data were generated by using Illumina MiSeq. The sequencing data have been deposited in the bioproject PRJNA522361. Samples accession numbers vary from SAMN10964863 to SAMN10965438 for gyrB amplicon and from SAMN10970131 to SAMN10970566 for 16S.

Keywords: Food microbiota; Meat spoilage; Metabolomic; Metagenetic; Microbial ecology.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article. This work was supported by the ANR RedLosses Project, Grant ANR-16-CE21-0006, operated by the French Agence Nationale de la Recherche. SP and NDML were granted for postdoctoral and PhD study respectively through this agency. The funding body did not play any role neither in the design of the study nor in collection, analysis, and interpretation of data.

Figures

Fig. 1
Fig. 1
Large-scale strategy for the analysis of meat sausage samples and production of the dataset.
See this image and copyright information in PMC

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