Journal
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
Volume 103, Issue 8, Pages 3277-3287Publisher
SPRINGER
DOI: 10.1007/s00253-019-09708-z
Keywords
Secondary metabolites; Biosynthetic gene cluster; Duplicate gene; Self-protection; Horizontal gene transfer; Bioinformatics
Categories
Funding
- Academia Sinica
- [106-2311-B-001-035-MY3]
- [106-2633-B-001-001]
- [106-2113-M-001-008-MY2]
- [107-2320-B-001-025-MY3]
Ask authors/readers for more resources
Secondary metabolites (SM) produced by fungi and bacteria have long been of exceptional interest owing to their unique biomedical ramifications. The traditional discovery of new natural products that was mainly driven by bioactivity screening has now experienced a fresh new approach in the form of genome mining. Several bioinformatics tools have been continuously developed to detect potential biosynthetic gene clusters (BGCs) that are responsible for the production of SM. Although the principles underlying the computation of these tools have been discussed, the biological background is left underrated and ambiguous. In this review, we emphasize the biological hypotheses in BGC formation driven from the observations across genomes in bacteria and fungi, and provide a comprehensive list of updated algorithms/tools exclusively for BGC detection. Our review points to a direction that the biological hypotheses should be systematically incorporated into the BGC prediction and assist the prioritization of candidate BGC.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available