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Network Biology pp 103–119Cite as

Genome-Scale Modeling of Thermophilic Microorganisms

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Part of the book series: Advances in Biochemical Engineering/Biotechnology ((ABE,volume 160))

Abstract

Thermophilic microorganisms are of increasing interest for many industries as their enzymes and metabolisms are highly efficient at elevated temperatures. However, their metabolic processes are often largely different from their mesophilic counterparts. These differences can lead to metabolic engineering strategies that are doomed to fail. Genome-scale metabolic modeling is an effective and highly utilized way to investigate cellular phenotypes and to test metabolic engineering strategies. In this review we chronicle a number of thermophilic organisms that have recently been studied with genome-scale models. The microorganisms spread across archaea and bacteria domains, and their study gives insights that can be applied in a broader context than just the species they describe. We end with a perspective on the future development and applications of genome-scale models of thermophilic organisms.

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Authors and Affiliations

  1. UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA

    Sanjeev Dahal & Suresh Poudel

  2. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Sanjeev Dahal & Suresh Poudel

  3. BioEnergy Science Center, Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Sanjeev Dahal, Suresh Poudel & R. Adam Thompson

  4. Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, USA

    R. Adam Thompson

Authors
  1. Sanjeev Dahal
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  2. Suresh Poudel
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  3. R. Adam Thompson
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Correspondence to Sanjeev Dahal .

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Editors and Affiliations

  1. Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Science, Little Rock, Arkansas, USA

    Intawat Nookaew

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Dahal, S., Poudel, S., Thompson, R.A. (2016). Genome-Scale Modeling of Thermophilic Microorganisms. In: Nookaew, I. (eds) Network Biology. Advances in Biochemical Engineering/Biotechnology, vol 160. Springer, Cham. https://doi.org/10.1007/10_2016_45

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