Literature DB >> 28730722

Metagenome-based surveillance and diagnostic approaches to studying the microbial ecology of food production and processing environments.

Conor J Doyle1,2, Paul W O'Toole2,3, Paul D Cotter1,3.   

Abstract

Metagenomic-based analyses have the potential to revolutionize our understanding of the microbiology of food production and processing environments. By adopting such approaches, it will be possible to more accurately determine sources of microbial contamination, identify critical control points for such contaminants, and select practices that optimize quality and safety. This mini-review will discuss the merits of adopting metagenostic-based approaches, highlight novel insights that they have provided to date and consider how they could be further implemented.
© 2017 Society for Applied Microbiology and John Wiley & Sons Ltd.

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Year:  2017        PMID: 28730722     DOI: 10.1111/1462-2920.13859

Source DB:  PubMed          Journal:  Environ Microbiol        ISSN: 1462-2912            Impact factor:   5.491


  9 in total

1.  Spatiotemporal Distribution of the Environmental Microbiota in Food Processing Plants as Impacted by Cleaning and Sanitizing Procedures: the Case of Slaughterhouses and Gaseous Ozone.

Authors:  Cristian Botta; Ilario Ferrocino; Alessandro Pessione; Luca Cocolin; Kalliopi Rantsiou
Journal:  Appl Environ Microbiol       Date:  2020-11-10       Impact factor: 4.792

Review 2.  Novel Biocontrol Methods for Listeria monocytogenes Biofilms in Food Production Facilities.

Authors:  Jessica A Gray; P Scott Chandry; Mandeep Kaur; Chawalit Kocharunchitt; John P Bowman; Edward M Fox
Journal:  Front Microbiol       Date:  2018-04-03       Impact factor: 5.640

Review 3.  Sequencing of the Cheese Microbiome and Its Relevance to Industry.

Authors:  Bhagya R Yeluri Jonnala; Paul L H McSweeney; Jeremiah J Sheehan; Paul D Cotter
Journal:  Front Microbiol       Date:  2018-05-23       Impact factor: 5.640

4.  Precision Food Safety: a Paradigm Shift in Detection and Control of Foodborne Pathogens.

Authors:  Jasna Kovac
Journal:  mSystems       Date:  2019-06-11       Impact factor: 6.496

5.  The occurrence of Listeria monocytogenes is associated with built environment microbiota in three tree fruit processing facilities.

Authors:  Xiaoqing Tan; Taejung Chung; Yi Chen; Dumitru Macarisin; Luke LaBorde; Jasna Kovac
Journal:  Microbiome       Date:  2019-08-21       Impact factor: 14.650

6.  Evaluating the Shelf Life and Sensory Properties of Beef Steaks from Cattle Raised on Different Grass Feeding Systems in the Western United States.

Authors:  Toni L Duarte; Bakytzhan Bolkenov; Sarah C Klopatek; James W Oltjen; D Andy King; Steven D Shackelford; Tommy L Wheeler; Xiang Yang
Journal:  Foods       Date:  2022-07-19

Review 7.  Microbiome Research as an Effective Driver of Success Stories in Agrifood Systems - A Selection of Case Studies.

Authors:  Rocío Olmo; Stefanie Urimare Wetzels; Jaderson Silveira Leite Armanhi; Paulo Arruda; Gabriele Berg; Tomislav Cernava; Paul D Cotter; Solon Cordeiro Araujo; Rafael Soares Correa de Souza; Ilario Ferrocino; Jens C Frisvad; Marina Georgalaki; Hanne Helene Hansen; Maria Kazou; George Seghal Kiran; Tanja Kostic; Susanne Krauss-Etschmann; Aicha Kriaa; Lene Lange; Emmanuelle Maguin; Birgit Mitter; Mette Olaf Nielsen; Marta Olivares; Narciso Martín Quijada; Marina Romaní-Pérez; Yolanda Sanz; Michael Schloter; Philippe Schmitt-Kopplin; Sarah Craven Seaton; Joseph Selvin; Angela Sessitsch; Mengcen Wang; Benjamin Zwirzitz; Evelyne Selberherr; Martin Wagner
Journal:  Front Microbiol       Date:  2022-07-04       Impact factor: 6.064

8.  Big Data Impacting Dynamic Food Safety Risk Management in the Food Chain.

Authors:  John A Donaghy; Michelle D Danyluk; Tom Ross; Bobby Krishna; Jeff Farber
Journal:  Front Microbiol       Date:  2021-05-21       Impact factor: 5.640

9.  Species classifier choice is a key consideration when analysing low-complexity food microbiome data.

Authors:  Aaron M Walsh; Fiona Crispie; Orla O'Sullivan; Laura Finnegan; Marcus J Claesson; Paul D Cotter
Journal:  Microbiome       Date:  2018-03-20       Impact factor: 14.650

  9 in total

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