Literature DB >> 29157743

Next generation microbiological risk assessment meta-omics: The next need for integration.

Luca Cocolin1, Marios Mataragas2, Francois Bourdichon3, Agapi Doulgeraki4, Marie-France Pilet5, Balamurugan Jagadeesan6, Kalliopi Rantsiou7, Trevor Phister8.   

Abstract

The development of a multi-omics approach has provided a new approach to the investigation of microbial communities allowing an integration of data, which can be used to better understand the behaviour of and interactions between community members. Metagenomics, metatranscriptomics, metaproteomics and metabolomics have the potential of producing a large amount of data in a very short time, however an important challenge is how to exploit and interpret these data to assist risk managers in food safety and quality decisions. This can be achieved by integrating multi-omics data in microbiological risk assessment. In this paper we identify limitations and challenges of the multi-omics approach, underlining promising potentials, but also identifying gaps, which should be addressed for its full exploitation. A view on how this new way of investigation will impact the traditional microbiology schemes in the food industry is also presented.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Food quality; Food safety; MRA; Metagenomics; Metatranscriptomics; Next generation sequencing

Mesh:

Year:  2017        PMID: 29157743     DOI: 10.1016/j.ijfoodmicro.2017.11.008

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  17 in total

Review 1.  Potential of Meta-Omics to Provide Modern Microbial Indicators for Monitoring Soil Quality and Securing Food Production.

Authors:  Christophe Djemiel; Samuel Dequiedt; Battle Karimi; Aurélien Cottin; Walid Horrigue; Arthur Bailly; Ali Boutaleb; Sophie Sadet-Bourgeteau; Pierre-Alain Maron; Nicolas Chemidlin Prévost-Bouré; Lionel Ranjard; Sébastien Terrat
Journal:  Front Microbiol       Date:  2022-06-30       Impact factor: 6.064

2.  Consistent and correctable bias in metagenomic sequencing experiments.

Authors:  Michael R McLaren; Amy D Willis; Benjamin J Callahan
Journal:  Elife       Date:  2019-09-10       Impact factor: 8.140

3.  Metataxonomic sequencing to assess microbial safety of Turkish white cheeses.

Authors:  Özge Kahraman-Ilıkkan; Elif Şeyma Bağdat
Journal:  Braz J Microbiol       Date:  2022-03-11       Impact factor: 2.214

Review 4.  Antibiotic Resistant Pseudomonas Spp. Spoilers in Fresh Dairy Products: An Underestimated Risk and the Control Strategies.

Authors:  Laura Quintieri; Francesca Fanelli; Leonardo Caputo
Journal:  Foods       Date:  2019-09-01

5.  Characterization of Norovirus and Other Human Enteric Viruses in Sewage and Stool Samples Through Next-Generation Sequencing.

Authors:  Sofia Strubbia; My V T Phan; Julien Schaeffer; Marion Koopmans; Matthew Cotten; Françoise S Le Guyader
Journal:  Food Environ Virol       Date:  2019-08-24       Impact factor: 2.778

6.  Assessment of Spoilage Bacterial Communities in Food Wrap and Modified Atmospheres-Packed Minced Pork Meat Samples by 16S rDNA Metagenetic Analysis.

Authors:  Emilie Cauchie; Laurent Delhalle; Bernard Taminiau; Assia Tahiri; Nicolas Korsak; Sophie Burteau; Papa Abdoulaye Fall; Frédéric Farnir; Ghislain Baré; Georges Daube
Journal:  Front Microbiol       Date:  2020-01-21       Impact factor: 5.640

7.  The Microbiota of Modified-Atmosphere-Packaged Cooked Charcuterie Products throughout Their Shelf-Life Period, as Revealed by a Complementary Combination of Culture-Dependent and Culture-Independent Analysis.

Authors:  Evelyne Duthoo; Geertrui Rasschaert; Frédéric Leroy; Stefan Weckx; Marc Heyndrickx; Koen De Reu
Journal:  Microorganisms       Date:  2021-06-04

8.  Ultraplexing: increasing the efficiency of long-read sequencing for hybrid assembly with k-mer-based multiplexing.

Authors:  Alexander T Dilthey; Sebastian A Meyer; Achim J Kaasch
Journal:  Genome Biol       Date:  2020-03-14       Impact factor: 13.583

9.  Meta-SourceTracker: application of Bayesian source tracking to shotgun metagenomics.

Authors:  Jordan J McGhee; Nick Rawson; Barbara A Bailey; Antonio Fernandez-Guerra; Laura Sisk-Hackworth; Scott T Kelley
Journal:  PeerJ       Date:  2020-03-24       Impact factor: 2.984

10.  Attenuated Lactococcus lactis and Surface Bacteria as Tools for Conditioning the Microbiota and Driving the Ripening of Semisoft Caciotta Cheese.

Authors:  Maria Calasso; Fabio Minervini; Francesca De Filippis; Danilo Ercolini; Maria De Angelis; Marco Gobbetti
Journal:  Appl Environ Microbiol       Date:  2020-02-18       Impact factor: 4.792

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