Genome-Scale Metabolic Reconstruction of Actinomycetes for Antibiotics Production

Research output: Contribution to journalReview – Annual report year: 2019Researchpeer-review

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Genome-Scale Metabolic Reconstruction of Actinomycetes for Antibiotics Production. / Mohite, Omkar Satyavan; Weber, Tilmann; Kim, Hyun Uk; Lee, Sang Yup.

In: Biotechnology Journal, Vol. 14, No. 1, 1800377, 2019.

Research output: Contribution to journalReview – Annual report year: 2019Researchpeer-review

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@article{31dfc03d44c14afdb9bf9e2dd4887426,
title = "Genome-Scale Metabolic Reconstruction of Actinomycetes for Antibiotics Production",
abstract = "Systems biology approaches are increasingly applied to explore the potential of actinomycetes for the discovery and optimal production of antibiotics. In particular, genome‐scale metabolic models (GEMs) of various actinomycetes are reconstructed at a faster rate in recent years, which has opened avenues to study interaction between primary and secondary metabolism at systems level, and to predict gene manipulation targets for overproduction of important antibiotics. Here, the status of actinomycetes’ GEMs and their applications for designing antibiotics‐overproducing strains are presented. Despite advances in the practice of GEM reconstruction, actinomycetes’ GEMs still remain incomplete in describing a full set of biosynthetic pathways of secondary metabolites. As to the GEM‐based strategies, various simulation methods are deployed to better describe secondary metabolism by introducing changes in constraints and/or objective function as well as by using omics data. Gene manipulation targeting algorithms developed for metabolic engineering of model organisms have also been actively applied to actinomycetes for the antibiotics production. Further consideration of computational resources dedicated to secondary metabolites in addition with automated GEM reconstruction tools will further upgrade GEMs of actinomycetes for antibiotics discovery and development.",
author = "Mohite, {Omkar Satyavan} and Tilmann Weber and Kim, {Hyun Uk} and Lee, {Sang Yup}",
year = "2019",
doi = "10.1002/biot.201800377",
language = "English",
volume = "14",
journal = "Biotechnology Journal",
issn = "1860-6768",
publisher = "Wiley - V C H Verlag GmbH & Co. KGaA",
number = "1",

}

RIS

TY - JOUR

T1 - Genome-Scale Metabolic Reconstruction of Actinomycetes for Antibiotics Production

AU - Mohite, Omkar Satyavan

AU - Weber, Tilmann

AU - Kim, Hyun Uk

AU - Lee, Sang Yup

PY - 2019

Y1 - 2019

N2 - Systems biology approaches are increasingly applied to explore the potential of actinomycetes for the discovery and optimal production of antibiotics. In particular, genome‐scale metabolic models (GEMs) of various actinomycetes are reconstructed at a faster rate in recent years, which has opened avenues to study interaction between primary and secondary metabolism at systems level, and to predict gene manipulation targets for overproduction of important antibiotics. Here, the status of actinomycetes’ GEMs and their applications for designing antibiotics‐overproducing strains are presented. Despite advances in the practice of GEM reconstruction, actinomycetes’ GEMs still remain incomplete in describing a full set of biosynthetic pathways of secondary metabolites. As to the GEM‐based strategies, various simulation methods are deployed to better describe secondary metabolism by introducing changes in constraints and/or objective function as well as by using omics data. Gene manipulation targeting algorithms developed for metabolic engineering of model organisms have also been actively applied to actinomycetes for the antibiotics production. Further consideration of computational resources dedicated to secondary metabolites in addition with automated GEM reconstruction tools will further upgrade GEMs of actinomycetes for antibiotics discovery and development.

AB - Systems biology approaches are increasingly applied to explore the potential of actinomycetes for the discovery and optimal production of antibiotics. In particular, genome‐scale metabolic models (GEMs) of various actinomycetes are reconstructed at a faster rate in recent years, which has opened avenues to study interaction between primary and secondary metabolism at systems level, and to predict gene manipulation targets for overproduction of important antibiotics. Here, the status of actinomycetes’ GEMs and their applications for designing antibiotics‐overproducing strains are presented. Despite advances in the practice of GEM reconstruction, actinomycetes’ GEMs still remain incomplete in describing a full set of biosynthetic pathways of secondary metabolites. As to the GEM‐based strategies, various simulation methods are deployed to better describe secondary metabolism by introducing changes in constraints and/or objective function as well as by using omics data. Gene manipulation targeting algorithms developed for metabolic engineering of model organisms have also been actively applied to actinomycetes for the antibiotics production. Further consideration of computational resources dedicated to secondary metabolites in addition with automated GEM reconstruction tools will further upgrade GEMs of actinomycetes for antibiotics discovery and development.

U2 - 10.1002/biot.201800377

DO - 10.1002/biot.201800377

M3 - Review

VL - 14

JO - Biotechnology Journal

JF - Biotechnology Journal

SN - 1860-6768

IS - 1

M1 - 1800377

ER -