NDLI: Genome neighborhood network reveals insights into enediyne biosynthesis and facilitates prediction and prioritization for discovery

Content Provider	Springer Nature Link
Author	Rudolf, Jeffrey D. Yan, Xiaohui Shen, Ben
Copyright Year	2015
Abstract	The enediynes are one of the most fascinating families of bacterial natural products given their unprecedented molecular architecture and extraordinary cytotoxicity. Enediynes are rare with only 11 structurally characterized members and four additional members isolated in their cycloaromatized form. Recent advances in DNA sequencing have resulted in an explosion of microbial genomes. A virtual survey of the GenBank and JGI genome databases revealed 87 enediyne biosynthetic gene clusters from 78 bacteria strains, implying that enediynes are more common than previously thought. Here we report the construction and analysis of an enediyne genome neighborhood network (GNN) as a high-throughput approach to analyze secondary metabolite gene clusters. Analysis of the enediyne GNN facilitated rapid gene cluster annotation, revealed genetic trends in enediyne biosynthetic gene clusters resulting in a simple prediction scheme to determine 9- versus 10-membered enediyne gene clusters, and supported a genomic-based strain prioritization method for enediyne discovery.
Starting Page	261
Ending Page	276
Page Count	16
File Format	PDF
ISSN	13675435
Journal	Journal of Industrial Microbiology and Biotechnology
Volume Number	43
Issue Number	2-3
e-ISSN	14765535
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-08-29
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Enediyne polyketide synthase Genome neighborhood network Biosynthetic gene cluster Genome mining Natural products Microbiology Biochemistry Inorganic Chemistry Genetic Engineering Biotechnology Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Medicine Bioengineering Applied Microbiology and Biotechnology Biotechnology

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