Literature DB >> 34686940

Novel methods of microbiome analysis in the food industry.

Carlos Sabater1,2, José F Cobo-Díaz3, Avelino Álvarez-Ordóñez3, Patricia Ruas-Madiedo1,2, Lorena Ruiz4,5, Abelardo Margolles1,2.   

Abstract

The study of the food microbiome has gained considerable interest in recent years, mainly due to the wide range of applications that can be derived from the analysis of metagenomes. Among these applications, it is worth mentioning the possibility of using metagenomic analyses to determine food authenticity, to assess the microbiological safety of foods thanks to the detection and tracking of pathogens, antibiotic resistance genes and other undesirable traits, as well to identify the microorganisms responsible for food processing defects. Metataxonomics and metagenomics are currently the gold standard methodologies to explore the full potential of metagenomes in the food industry. However, there are still a number of challenges that must be solved in order to implement these methods routinely in food chain monitoring, and for the regulatory agencies to take them into account in their opinions. These challenges include the difficulties of analysing foods and food-related environments with a low microbial load, the lack of validated bioinformatics pipelines adapted to food microbiomes and the difficulty of assessing the viability of the detected microorganisms. This review summarizes the methods of microbiome analysis that have been used, so far, in foods and food-related environments, with a specific focus on those involving Next-Generation Sequencing technologies.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Food metagenome; Food microbiome; Metagenomics; Metataxonomics; Resistome

Mesh:

Year:  2021        PMID: 34686940     DOI: 10.1007/s10123-021-00215-8

Source DB:  PubMed          Journal:  Int Microbiol        ISSN: 1139-6709            Impact factor:   2.479


  67 in total

1.  "Dark" Purkinje cells of the cerebellar cortex.

Authors:  C Léránth; J Hámori
Journal:  Acta Biol Acad Sci Hung       Date:  1970

2.  Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Authors:  Evan Bolyen; Jai Ram Rideout; Matthew R Dillon; Nicholas A Bokulich; Christian C Abnet; Gabriel A Al-Ghalith; Harriet Alexander; Eric J Alm; Manimozhiyan Arumugam; Francesco Asnicar; Yang Bai; Jordan E Bisanz; Kyle Bittinger; Asker Brejnrod; Colin J Brislawn; C Titus Brown; Benjamin J Callahan; Andrés Mauricio Caraballo-Rodríguez; John Chase; Emily K Cope; Ricardo Da Silva; Christian Diener; Pieter C Dorrestein; Gavin M Douglas; Daniel M Durall; Claire Duvallet; Christian F Edwardson; Madeleine Ernst; Mehrbod Estaki; Jennifer Fouquier; Julia M Gauglitz; Sean M Gibbons; Deanna L Gibson; Antonio Gonzalez; Kestrel Gorlick; Jiarong Guo; Benjamin Hillmann; Susan Holmes; Hannes Holste; Curtis Huttenhower; Gavin A Huttley; Stefan Janssen; Alan K Jarmusch; Lingjing Jiang; Benjamin D Kaehler; Kyo Bin Kang; Christopher R Keefe; Paul Keim; Scott T Kelley; Dan Knights; Irina Koester; Tomasz Kosciolek; Jorden Kreps; Morgan G I Langille; Joslynn Lee; Ruth Ley; Yong-Xin Liu; Erikka Loftfield; Catherine Lozupone; Massoud Maher; Clarisse Marotz; Bryan D Martin; Daniel McDonald; Lauren J McIver; Alexey V Melnik; Jessica L Metcalf; Sydney C Morgan; Jamie T Morton; Ahmad Turan Naimey; Jose A Navas-Molina; Louis Felix Nothias; Stephanie B Orchanian; Talima Pearson; Samuel L Peoples; Daniel Petras; Mary Lai Preuss; Elmar Pruesse; Lasse Buur Rasmussen; Adam Rivers; Michael S Robeson; Patrick Rosenthal; Nicola Segata; Michael Shaffer; Arron Shiffer; Rashmi Sinha; Se Jin Song; John R Spear; Austin D Swafford; Luke R Thompson; Pedro J Torres; Pauline Trinh; Anupriya Tripathi; Peter J Turnbaugh; Sabah Ul-Hasan; Justin J J van der Hooft; Fernando Vargas; Yoshiki Vázquez-Baeza; Emily Vogtmann; Max von Hippel; William Walters; Yunhu Wan; Mingxun Wang; Jonathan Warren; Kyle C Weber; Charles H D Williamson; Amy D Willis; Zhenjiang Zech Xu; Jesse R Zaneveld; Yilong Zhang; Qiyun Zhu; Rob Knight; J Gregory Caporaso
Journal:  Nat Biotechnol       Date:  2019-08       Impact factor: 54.908

3.  Portuguese cacholeira blood sausage: A first taste of its microbiota and volatile organic compounds.

Authors:  Luca Belleggia; Ilario Ferrocino; Anna Reale; Floriana Boscaino; Tiziana Di Renzo; Maria Rita Corvaglia; Luca Cocolin; Vesna Milanović; Federica Cardinali; Cristiana Garofalo; Francesca Clementi; Lucia Aquilanti; Andrea Osimani
Journal:  Food Res Int       Date:  2020-07-21       Impact factor: 6.475

4.  Metagenomic binning and association of plasmids with bacterial host genomes using DNA methylation.

Authors:  John Beaulaurier; Shijia Zhu; Gintaras Deikus; Ilaria Mogno; Xue-Song Zhang; Austin Davis-Richardson; Ronald Canepa; Eric W Triplett; Jeremiah J Faith; Robert Sebra; Eric E Schadt; Gang Fang
Journal:  Nat Biotechnol       Date:  2017-12-11       Impact factor: 54.908

5.  Omics-Based Insights into Flavor Development and Microbial Succession within Surface-Ripened Cheese.

Authors:  A S Bertuzzi; A M Walsh; J J Sheehan; P D Cotter; F Crispie; P L H McSweeney; K N Kilcawley; M C Rea
Journal:  mSystems       Date:  2018-01-30       Impact factor: 6.496

6.  Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns.

Authors:  Amnon Amir; Daniel McDonald; Jose A Navas-Molina; Evguenia Kopylova; James T Morton; Zhenjiang Zech Xu; Eric P Kightley; Luke R Thompson; Embriette R Hyde; Antonio Gonzalez; Rob Knight
Journal:  mSystems       Date:  2017-03-07       Impact factor: 6.496

7.  Exploring bacteria diversity in commercialized table olive biofilms by metataxonomic and compositional data analysis.

Authors:  Antonio Benítez-Cabello; Verónica Romero-Gil; Eduardo Medina-Pradas; Antonio Garrido-Fernández; Francisco Noé Arroyo-López
Journal:  Sci Rep       Date:  2020-07-09       Impact factor: 4.379

8.  Current challenges and best-practice protocols for microbiome analysis.

Authors:  Richa Bharti; Dominik G Grimm
Journal:  Brief Bioinform       Date:  2019-12-18       Impact factor: 11.622

9.  Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity.

Authors:  Samuele Bovo; Valerio Joe Utzeri; Anisa Ribani; Riccardo Cabbri; Luca Fontanesi
Journal:  Sci Rep       Date:  2020-06-09       Impact factor: 4.379

10.  ResFinder 4.0 for predictions of phenotypes from genotypes.

Authors:  Valeria Bortolaia; Rolf S Kaas; Etienne Ruppe; Marilyn C Roberts; Stefan Schwarz; Vincent Cattoir; Alain Philippon; Rosa L Allesoe; Ana Rita Rebelo; Alfred Ferrer Florensa; Linda Fagelhauer; Trinad Chakraborty; Bernd Neumann; Guido Werner; Jennifer K Bender; Kerstin Stingl; Minh Nguyen; Jasmine Coppens; Basil Britto Xavier; Surbhi Malhotra-Kumar; Henrik Westh; Mette Pinholt; Muna F Anjum; Nicholas A Duggett; Isabelle Kempf; Suvi Nykäsenoja; Satu Olkkola; Kinga Wieczorek; Ana Amaro; Lurdes Clemente; Joël Mossong; Serge Losch; Catherine Ragimbeau; Ole Lund; Frank M Aarestrup
Journal:  J Antimicrob Chemother       Date:  2020-12-01       Impact factor: 5.790

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