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How to discover new antibiotic resistance genes?
- 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.
- Subjects :
- 0301 basic medicine
medicine.drug_class
Antibiotics
Mutagenesis (molecular biology technique)
Biology
Genome
Pathology and Forensic Medicine
03 medical and health sciences
0302 clinical medicine
Antibiotic resistance
Bacterial Proteins
[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases
Drug Resistance, Bacterial
Human medicine
Genetics
medicine
Humans
[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology
Molecular Biology
ComputingMilieux_MISCELLANEOUS
[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases
Bacteria
High-Throughput Nucleotide Sequencing
Bacterial Infections
[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences
[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology
3. Good health
030104 developmental biology
Metagenomics
030220 oncology & carcinogenesis
[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology
Metagenome
Molecular Medicine
Antibiotic resistance genes
Subjects
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