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How to discover new antibiotic resistance genes?

Authors :
Jean-Marc Rolain
Linda Hadjadj
Sophie Alexandra Baron
Seydina M. Diene
Microbes évolution phylogénie et infections (MEPHI)
Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
Aix-Marseille Université - Faculté de pharmacie (AMU PHARM)
Aix Marseille Université (AMU)
Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)
Source :
Expert Review of Molecular Diagnostics, Expert Review of Molecular Diagnostics, 2019, 19 (4), pp.349-362. ⟨10.1080/14737159.2019.1592678⟩, Expert Review of Molecular Diagnostics, Expert Reviews (formerly Future Drugs), 2019, 19 (4), pp.349-362. ⟨10.1080/14737159.2019.1592678⟩
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

Antibiotic resistance (AR) is a worldwide concern and the description of AR have been discovered mainly because of their implications in human medicine. Since the recent burden of whole-genome sequencing of microorganisms, the number of new AR genes (ARGs) have dramatically increased over the last decade. Areas covered: In this review, we will describe the different methods that could be used to characterize new ARGs using classic or innovative methods. First, we will focus on the biochemical methods, then we will develop on molecular methods, next-generation sequencing and bioinformatics approaches. The use of various methods, including cloning, mutagenesis, transposon mutagenesis, functional genomics, whole genome sequencing, metagenomic and functional metagenomics will be reviewed here, outlining the advantages and drawbacks of each method. Bioinformatics softwares used for resistome analysis and protein modeling will be also described. Expert opinion: Biological experiments and bioinformatics analysis are complementary. Nowadays, the ARGs described only account for the tip of the iceberg of all existing resistance mechanisms. The multiplication of the ecosystems studied allows us to find a large reservoir of AR mechanisms. Furthermore, the adaptation ability of bacteria facing new antibiotics promises a constant discovery of new AR mechanisms.

Details

Language :
English
ISSN :
14737159 and 17448352
Database :
OpenAIRE
Journal :
Expert Review of Molecular Diagnostics, Expert Review of Molecular Diagnostics, 2019, 19 (4), pp.349-362. ⟨10.1080/14737159.2019.1592678⟩, Expert Review of Molecular Diagnostics, Expert Reviews (formerly Future Drugs), 2019, 19 (4), pp.349-362. ⟨10.1080/14737159.2019.1592678⟩
Accession number :
edsair.doi.dedup.....5c0a85f7cac36088f806b079bf9c0207