title: Genome-Scale Modeling of Thermophilic Microorganisms.
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.
authors.affiliation: UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA. sdahal@vols.utk.edu.|Oak Ridge National Laboratory, Oak Ridge, TN, USA. sdahal@vols.utk.edu.|BioEnergy Science Center, Oak Ridge National Laboratory, Oak Ridge, TN, USA. sdahal@vols.utk.edu.
authors.forename: Sanjeev
authors.initials: S
authors.lastname: Dahal
authors.affiliation: UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA.|Oak Ridge National Laboratory, Oak Ridge, TN, USA.|BioEnergy Science Center, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
authors.forename: Suresh
authors.initials: S
authors.lastname: Poudel
authors.affiliation: BioEnergy Science Center, Oak Ridge National Laboratory, Oak Ridge, TN, USA.|Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, USA.
authors.forename: R Adam
authors.initials: RA
authors.lastname: Thompson
mesh_terms: D016680:Genome, Bacterial / Q000235:genetics*; D060847:Metabolic Engineering / Q000379:methods*; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D055442:Metabolome / Q000235:genetics*; D008954:Models, Biological; D012984:Software; D016963:Thermus thermophilus / Q000235:genetics*
keywords: Draft reconstruction; Flux balance analysis; Flux variability analysis; Gap-filling; Genome-scale models; Stoichiometric matrix