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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, 3 Valérie Anthoine 3 Sandrine Guillou 3 Jeanne-Marie Membré 3 Nicolas Moriceau 3 Sandrine Reze 3 Monique Zagorec 3 Carole Feurer 4 Bastien Fremaux 5 Sabine Jeuge 4 Emeline Robieu 4 Marie Champomier-Vergès 1 Gwendoline Coeuret 1 Emilie Cauchie 6 Georges Daube 7 Nicolas Korsak 6 Louis Coroller 8 Noémie Desriac 9 Marie-Helene Desmonts 10 Rodérick Gohier 10 Dalal Werner 11 Valentin Loux 12 Olivier Rué 12 Marie-Hélène Dohollou 13 Tatiana Defosse 14 Stephane Chaillou 1
1 MICALIS - MICrobiologie de l'ALImentation au Service de la Santé
2 ONIRIS - Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique
3 SECALIM - Sécurité des Aliments
4 IFIP - Institut du Porc
5 UMAP
6 Faculté de Médecine Vétérinaire [Liège]
7 Université de Liège
8 LUMAQ
9 ADRIA Développement
10 Aérial - Centre de Ressources Technologiques et Institut Technique Agro-Industriel
11 Aérial
12 MaIAGE - Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas]
13 Cooperl Innovation
14 GEIHP - Groupe d'Étude des Interactions Hôte-Pathogène
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.
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https://hal.inrae.fr/hal-02914971
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Submitted on : Thursday, August 13, 2020 - 3:54:46 PM
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INRAE | AGROPARISTECH | UNIV-BREST | UNAM | UNIV-ANGERS | GEIHP | GS-MATHEMATIQUES

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Simon Poirier, Ngoc-Du Martin Luong, Valérie Anthoine, Sandrine Guillou, Jeanne-Marie Membré, et al.. 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. Data in Brief, Elsevier, 2020, 30, pp.1-8. ⟨10.1016/j.dib.2020.105453⟩. ⟨hal-02914971⟩

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