| Literature DB >> 30895843 |
Linda Hadjadj1, Sophie Alexandra Baron1, Seydina M Diene1, Jean-Marc Rolain1,2.
Abstract
INTRODUCTION: 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.Entities:
Keywords: Antibiotic; genome; metagenomic; mutagenesis; resistance
Mesh:
Substances:
Year: 2019 PMID: 30895843 DOI: 10.1080/14737159.2019.1592678
Source DB: PubMed Journal: Expert Rev Mol Diagn ISSN: 1473-7159 Impact factor: 5.225