Literature DB >> 33433310

ActDES - a curated Actinobacterial Database for Evolutionary Studies.

Jana K Schniete1,2, Nelly Selem-Mojica3, Anna S Birke1, Pablo Cruz-Morales3, Iain S Hunter1, Francisco Barona-Gomez3, Paul A Hoskisson1.   

Abstract

Actinobacteria is a large and diverse phylum of bacteria that contains medically and ecologically relevant organisms. Many members are valuable sources of bioactive natural products and chemical precursors that are exploited in the clinic and made using the enzyme pathways encoded in their complex genomes. Whilst the number of sequenced genomes has increased rapidly in the last 20 years, the large size, complexity and high G+C content of many actinobacterial genomes means that the sequences remain incomplete and consist of large numbers of contigs with poor annotation, which hinders large-scale comparative genomic and evolutionary studies. To enable greater understanding and exploitation of actinobacterial genomes, specialized genomic databases must be linked to high-quality genome sequences. Here, we provide a curated database of 612 high-quality actinobacterial genomes from 80 genera, chosen to represent a broad phylogenetic group with equivalent genome re-annotation. Utilizing this database will provide researchers with a framework for evolutionary and metabolic studies, to enable a foundation for genome and metabolic engineering, to facilitate discovery of novel bioactive therapeutics and studies on gene family evolution. This article contains data hosted by Microreact.

Entities:  

Keywords:  Streptomyces; biosynthetic gene cluster; evolution; natural product; primary metabolism; specialized metabolism

Year:  2021        PMID: 33433310      PMCID: PMC8115908          DOI: 10.1099/mgen.0.000498

Source DB:  PubMed          Journal:  Microb Genom        ISSN: 2057-5858


  38 in total

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Journal:  Nat Prod Rep       Date:  2019-09-02       Impact factor: 13.423

5.  Computational approaches to natural product discovery.

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Journal:  Nat Chem Biol       Date:  2015-09       Impact factor: 15.040

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7.  Identification of Thiotetronic Acid Antibiotic Biosynthetic Pathways by Target-directed Genome Mining.

Authors:  Xiaoyu Tang; Jie Li; Natalie Millán-Aguiñaga; Jia Jia Zhang; Ellis C O'Neill; Juan A Ugalde; Paul R Jensen; Simone M Mantovani; Bradley S Moore
Journal:  ACS Chem Biol       Date:  2015-10-21       Impact factor: 5.100

8.  Expanding Primary Metabolism Helps Generate the Metabolic Robustness To Facilitate Antibiotic Biosynthesis in Streptomyces.

Authors:  Jana K Schniete; Pablo Cruz-Morales; Nelly Selem-Mojica; Lorena T Fernández-Martínez; Iain S Hunter; Francisco Barona-Gómez; Paul A Hoskisson
Journal:  MBio       Date:  2018-02-06       Impact factor: 7.867

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Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
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10.  Tailoring pathway modularity in the biosynthesis of erythromycin analogs heterologously engineered in E. coli.

Authors:  Guojian Zhang; Yi Li; Lei Fang; Blaine A Pfeifer
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