Computational identification of co-evolving multi-gene modules in microbial biosynthetic gene clusters-Reference-Cited by-同舟云学术

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Computational identification of co-evolving multi-gene modules in microbial biosynthetic gene clusters

Published:2019-02-28 Issue:1 Volume:2 Page:
ISSN:2399-3642
Container-title:Communications Biology
language:en
Short-container-title:Commun Biol

Author:

Del Carratore Francesco^ORCID,Zych Konrad^ORCID,Cummings Matthew,Takano Eriko^ORCID,Medema Marnix H.^ORCID,Breitling Rainer^ORCID

Funder

RCUK | Biotechnology and Biological Sciences Research Council

RCUK | Engineering and Physical Sciences Research Council

EC | Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

Link

http://www.nature.com/articles/s42003-019-0333-6.pdf

Reference70 articles.

1. Smanski, M. J. et al. Synthetic biology to access and expand nature’s chemical diversity. Nat. Rev. Microbiol. 14, 135–149 (2016).

2. Katz, L. & Baltz, R. H. Natural product discovery: past, present, and future. J. Ind. Microbiol. Biotechnol. 43, 155–176 (2016).

3. Laureti, L. et al. Identification of a bioactive 51-membered macrolide complex by activation of a silent polyketide synthase in Streptomyces ambofaciens. Proc. Natl. Acad. Sci. 108, 6258–6263 (2011).

4. Medema, M. H., Cimermancic, P., Sali, A., Takano, E. & Fischbach, M. A. A systematic computational analysis of biosynthetic gene cluster evolution: lessons for engineering biosynthesis. PLoS Comput. Biol. 10, e1004016 (2014).

5. Fischbach, M. A., Walsh, C. T. & Clardy, J. The evolution of gene collectives: how natural selection drives chemical innovation. Proc. Natl. Acad. Sci. 105, 4601–4608 (2008).

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