Literature DB >> 33384459

A glimpse of antimicrobial resistance gene diversity in kefir and yoghurt.

Adrienn Gréta Tóth1, István Csabai2, Gergely Maróti3,4, Ákos Jerzsele5, Attila Dubecz6, Árpád V Patai7,8, Maura Fiona Judge1, Sára Ágnes Nagy1, László Makrai9, Krisztián Bányai10, Géza Szita11, Norbert Solymosi12,13.   

Abstract

Antimicrobial resistance (AMR) is a global threat gaining more and more practical significance every year. The main determinants of AMR are the antimicrobial resistance genes (ARGs). Since bacteria can share genetic components via horizontal gene transfer, even non-pathogenic bacteria may provide ARG to any pathogens which they become physically close to (e.g. in the human gut). In addition, fermented food naturally contains bacteria in high amounts. In this study, we examined the diversity of ARG content in various kefir and yoghurt samples (products, grains, bacterial strains) using a unified metagenomic approach. We found numerous ARGs of commonly used fermenting bacteria. Even with the strictest filter restrictions, we identified ARGs undermining the efficacy of aminocoumarins, aminoglycosides, carbapenems, cephalosporins, cephamycins, diaminopyrimidines, elfamycins, fluoroquinolones, fosfomycins, glycylcyclines, lincosamides, macrolides, monobactams, nitrofurans, nitroimidazoles, penams, penems, peptides, phenicols, rifamycins, tetracyclines and triclosan. In the case of gene lmrD, we detected genetic environment providing mobility of this ARG. Our findings support the theory that during the fermentation process, the ARG content of foods can grow due to bacterial multiplication. The results presented suggest that the starting culture strains of fermented foods should be monitored and selected in order to decrease the intake of ARGs via foods.

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Year:  2020        PMID: 33384459      PMCID: PMC7775456          DOI: 10.1038/s41598-020-80444-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  46 in total

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Journal:  J Appl Microbiol       Date:  2018-10-18       Impact factor: 3.772

2.  Fast and sensitive protein alignment using DIAMOND.

Authors:  Benjamin Buchfink; Chao Xie; Daniel H Huson
Journal:  Nat Methods       Date:  2014-11-17       Impact factor: 28.547

3.  MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph.

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Journal:  Bioinformatics       Date:  2015-01-20       Impact factor: 6.937

4.  Chemical and microbiological characterisation of kefir grains.

Authors:  G L Garrote; A G Abraham; G L De Antoni
Journal:  J Dairy Res       Date:  2001-11       Impact factor: 1.904

5.  Investigation of microorganisms involved in biosynthesis of the kefir grain.

Authors:  Sheng-Yao Wang; Kun-Nan Chen; Yung-Ming Lo; Ming-Lun Chiang; Hsi-Chia Chen; Je-Ruei Liu; Ming-Ju Chen
Journal:  Food Microbiol       Date:  2012-07-20       Impact factor: 5.516

6.  Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation.

Authors:  Cole Trapnell; Brian A Williams; Geo Pertea; Ali Mortazavi; Gordon Kwan; Marijke J van Baren; Steven L Salzberg; Barbara J Wold; Lior Pachter
Journal:  Nat Biotechnol       Date:  2010-05-02       Impact factor: 54.908

7.  NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins.

Authors:  Kim D Pruitt; Tatiana Tatusova; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

8.  CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database.

Authors:  Baofeng Jia; Amogelang R Raphenya; Brian Alcock; Nicholas Waglechner; Peiyao Guo; Kara K Tsang; Briony A Lago; Biren M Dave; Sheldon Pereira; Arjun N Sharma; Sachin Doshi; Mélanie Courtot; Raymond Lo; Laura E Williams; Jonathan G Frye; Tariq Elsayegh; Daim Sardar; Erin L Westman; Andrew C Pawlowski; Timothy A Johnson; Fiona S L Brinkman; Gerard D Wright; Andrew G McArthur
Journal:  Nucleic Acids Res       Date:  2016-10-26       Impact factor: 16.971

9.  PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures.

Authors:  Pawel S Krawczyk; Leszek Lipinski; Andrzej Dziembowski
Journal:  Nucleic Acids Res       Date:  2018-04-06       Impact factor: 16.971

10.  The Pfam protein families database in 2019.

Authors:  Sara El-Gebali; Jaina Mistry; Alex Bateman; Sean R Eddy; Aurélien Luciani; Simon C Potter; Matloob Qureshi; Lorna J Richardson; Gustavo A Salazar; Alfredo Smart; Erik L L Sonnhammer; Layla Hirsh; Lisanna Paladin; Damiano Piovesan; Silvio C E Tosatto; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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  5 in total

1.  Metagenomics Reveals the Diversity and Taxonomy of Carbohydrate-Active Enzymes and Antibiotic Resistance Genes in Suancai Bacterial Communities.

Authors:  Qiaozhi Song; Binbin Wang; Ye Han; Zhijiang Zhou
Journal:  Genes (Basel)       Date:  2022-04-27       Impact factor: 4.141

2.  Assessing the drug resistance profiles of oral probiotic lozenges.

Authors:  Yi Wang; Jingya Dong; Junyi Wang; Wei Chi; Wei Zhou; Qiwen Tian; Yue Hong; Xuan Zhou; Hailv Ye; Xuechen Tian; Rongdang Hu; Aloysius Wong
Journal:  J Oral Microbiol       Date:  2022-01-07       Impact factor: 5.474

3.  Antimicrobial resistance determinants in silage.

Authors:  Sára Ágnes Nagy; Adrienn Gréta Tóth; Márton Papp; Selçuk Kaplan; Norbert Solymosi
Journal:  Sci Rep       Date:  2022-03-28       Impact factor: 4.379

Review 4.  Review and Comparison of Antimicrobial Resistance Gene Databases.

Authors:  Márton Papp; Norbert Solymosi
Journal:  Antibiotics (Basel)       Date:  2022-03-04

Review 5.  Two Faces of Fermented Foods-The Benefits and Threats of Its Consumption.

Authors:  Krzysztof Skowron; Anna Budzyńska; Katarzyna Grudlewska-Buda; Natalia Wiktorczyk-Kapischke; Małgorzata Andrzejewska; Ewa Wałecka-Zacharska; Eugenia Gospodarek-Komkowska
Journal:  Front Microbiol       Date:  2022-03-07       Impact factor: 5.640

  5 in total

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