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Strategies for Discovering New Antibiotics from Bacteria in the Post-Genomic Era
- Source :
- Current Microbiology. 77:3213-3223
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- New antibiotics are urgently required in clinical treatment and agriculture with the development of antimicrobial resistance. However, products discovered by repeating previous strategies are either not antibiotics or already known antibiotics. There is a growing demand for efficient strategies to discover new antibiotics. With the continuous improvement of gene sequencing technology and genomic data, some mining strategies have emerged. These strategies are expected to alleviate the current dilemma of antibiotics. In this review, we discuss the recent advances in discovery of bacterial antibiotics from the following aspects: activation of silent gene clusters, genome mining and metagenome mining. In the future, we envision the discovery of natural antibiotic will be accelerated by the combination of these strategies.
- Subjects :
- Silent gene
medicine.drug_class
Genomic data
Antibiotics
Computational biology
Applied Microbiology and Biotechnology
Microbiology
03 medical and health sciences
Antibiotic resistance
medicine
Clinical treatment
030304 developmental biology
Biological Products
0303 health sciences
Bacteria
biology
030306 microbiology
Genomics
General Medicine
biology.organism_classification
Anti-Bacterial Agents
Metagenomics
Multigene Family
Metagenome
Genome mining
Subjects
Details
- ISSN :
- 14320991 and 03438651
- Volume :
- 77
- Database :
- OpenAIRE
- Journal :
- Current Microbiology
- Accession number :
- edsair.doi.dedup.....29a07b0b31f2c8e06f6ece88fce45e53
- Full Text :
- https://doi.org/10.1007/s00284-020-02197-8