Literature DB >> 30478291

Prediction of the intestinal resistome by a three-dimensional structure-based method.

Etienne Ruppé1,2, Amine Ghozlane3,4,5, Julien Tap3,6, Nicolas Pons3, Anne-Sophie Alvarez3, Nicolas Maziers3, Trinidad Cuesta7, Sara Hernando-Amado7, Irene Clares7, Jose Luís Martínez7, Teresa M Coque8,9,10, Fernando Baquero8,9,10, Val F Lanza8,9, Luis Máiz11, Tiphaine Goulenok12, Victoire de Lastours13,12, Nawal Amor12, Bruno Fantin13,12, Ingrid Wieder14, Antoine Andremont13,14, Willem van Schaik15,16, Malbert Rogers15, Xinglin Zhang15, Rob J L Willems15, Alexandre G de Brevern17, Jean-Michel Batto3, Hervé M Blottière3, Pierre Léonard3, Véronique Léjard3, Aline Letur3, Florence Levenez3, Kevin Weiszer3, Florence Haimet3, Joël Doré3, Sean P Kennedy3,5, S Dusko Ehrlich3,18.   

Abstract

The intestinal microbiota is considered to be a major reservoir of antibiotic resistance determinants (ARDs) that could potentially be transferred to bacterial pathogens via mobile genetic elements. Yet, this assumption is poorly supported by empirical evidence due to the distant homologies between known ARDs (mostly from culturable bacteria) and ARDs from the intestinal microbiota. Consequently, an accurate census of intestinal ARDs (that is, the intestinal resistome) has not yet been fully determined. For this purpose, we developed and validated an annotation method (called pairwise comparative modelling) on the basis of a three-dimensional structure (homology comparative modelling), leading to the prediction of 6,095 ARDs in a catalogue of 3.9 million proteins from the human intestinal microbiota. We found that the majority of predicted ARDs (pdARDs) were distantly related to known ARDs (mean amino acid identity 29.8%) and found little evidence supporting their transfer between species. According to the composition of their resistome, we were able to cluster subjects from the MetaHIT cohort (n = 663) into six resistotypes that were connected to the previously described enterotypes. Finally, we found that the relative abundance of pdARDs was positively associated with gene richness, but not when subjects were exposed to antibiotics. Altogether, our results indicate that the majority of intestinal microbiota ARDs can be considered intrinsic to the dominant commensal microbiota and that these genes are rarely shared with bacterial pathogens.

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Year:  2018        PMID: 30478291     DOI: 10.1038/s41564-018-0292-6

Source DB:  PubMed          Journal:  Nat Microbiol        ISSN: 2058-5276            Impact factor:   17.745


  45 in total

1.  Ceftriaxone and Cefotaxime Have Similar Effects on the Intestinal Microbiota in Human Volunteers Treated by Standard-Dose Regimens.

Authors:  Charles Burdet; Nathalie Grall; Morgane Linard; Antoine Bridier-Nahmias; Michèle Benhayoun; Khadija Bourabha; Mélanie Magnan; Olivier Clermont; Camille d'Humières; Olivier Tenaillon; Erick Denamur; Laurent Massias; Sarah Tubiana; Loubna Alavoine; Antoine Andremont; France Mentré; Xavier Duval
Journal:  Antimicrob Agents Chemother       Date:  2019-05-24       Impact factor: 5.191

Review 2.  Overview of bioinformatic methods for analysis of antibiotic resistome from genome and metagenome data.

Authors:  Kihyun Lee; Dae-Wi Kim; Chang-Jun Cha
Journal:  J Microbiol       Date:  2021-02-23       Impact factor: 3.422

3.  The shared resistome of human and pig microbiota is mobilized by distinct genetic elements.

Authors:  Chao Wang; Yuqin Song; Na Tang; Gang Zhang; Sébastien Olivier Leclercq; Jie Feng
Journal:  Appl Environ Microbiol       Date:  2020-12-11       Impact factor: 4.792

Review 4.  The role of artificial intelligence in the battle against antimicrobial-resistant bacteria.

Authors:  Hul Juan Lau; Chern Hong Lim; Su Chern Foo; Hock Siew Tan
Journal:  Curr Genet       Date:  2021-02-13       Impact factor: 3.886

5.  Microbiome-pathogen interactions drive epidemiological dynamics of antibiotic resistance: A modeling study applied to nosocomial pathogen control.

Authors:  Laura Temime; Lulla Opatowski; David Rm Smith
Journal:  Elife       Date:  2021-09-14       Impact factor: 8.140

Review 6.  Defining and combating antibiotic resistance from One Health and Global Health perspectives.

Authors:  Sara Hernando-Amado; Teresa M Coque; Fernando Baquero; José L Martínez
Journal:  Nat Microbiol       Date:  2019-08-22       Impact factor: 17.745

Review 7.  Sequencing-based methods and resources to study antimicrobial resistance.

Authors:  Manish Boolchandani; Alaric W D'Souza; Gautam Dantas
Journal:  Nat Rev Genet       Date:  2019-06       Impact factor: 53.242

Review 8.  Crossroads of Antibiotic Resistance and Biosynthesis.

Authors:  Timothy A Wencewicz
Journal:  J Mol Biol       Date:  2019-07-06       Impact factor: 5.469

Review 9.  Innovative and rapid antimicrobial susceptibility testing systems.

Authors:  Alex van Belkum; Carey-Ann D Burnham; John W A Rossen; Frederic Mallard; Olivier Rochas; William Michael Dunne
Journal:  Nat Rev Microbiol       Date:  2020-02-13       Impact factor: 60.633

10.  A novel bipartite antitermination system widespread in conjugative elements of Gram-positive bacteria.

Authors:  Andrés Miguel-Arribas; Jorge Val-Calvo; César Gago-Córdoba; José M Izquierdo; David Abia; Ling Juan Wu; Jeff Errington; Wilfried J J Meijer
Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

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