Computational identification of co-evolving multi-gene modules in microbial biosynthetic gene clusters
نویسندگان
چکیده
منابع مشابه
Viewing cancer genes from co-evolving gene modules
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Loss-of-function Aspergillus nidulans CclA, a Bre2 ortholog involved in histone H3 lysine 4 methylation, activated the expression of cryptic secondary metabolite clusters in A. nidulans. One new cluster generated monodictyphenone, emodin and emodin derivatives, whereas a second encoded two anti-osteoporosis polyketides, F9775A and F9775B. Modification of the chromatin landscape in fungal second...
متن کاملThe antiSMASH database, a comprehensive database of microbial secondary metabolite biosynthetic gene clusters
Secondary metabolites produced by microorganisms are the main source of bioactive compounds that are in use as antimicrobial and anticancer drugs, fungicides, herbicides and pesticides. In the last decade, the increasing availability of microbial genomes has established genome mining as a very important method for the identification of their biosynthetic gene clusters (BGCs). One of the most po...
متن کاملIdentification of a cloned cytokinin biosynthetic gene.
A small region of the Ti plasmid (the tmr locus), thought to be involved in phytohormone metabolism in Agrobacterium tumefaciens-transformed plant tissue, was cloned and expressed in Escherichia coli. By enzyme assay, the tmr locus was shown to encode isopentenyltransferase, an enzyme that catalyzes the first step in cytokinin biosynthesis.
متن کاملRecent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters.
Many drugs are derived from small molecules produced by microorganisms and plants, so-called natural products. Natural products have diverse chemical structures, but the biosynthetic pathways producing those compounds are often organized as biosynthetic gene clusters (BGCs) and follow a highly conserved biosynthetic logic. This allows for the identification of core biosynthetic enzymes using ge...
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ژورنال
عنوان ژورنال: Communications Biology
سال: 2019
ISSN: 2399-3642
DOI: 10.1038/s42003-019-0333-6