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Genome scale metabolic modeling reveals the metabolic potential of three Type II methanotrophs of the genus Methylocystis.
- Source :
-
Metabolic engineering [Metab Eng] 2019 Jul; Vol. 54, pp. 191-199. Date of Electronic Publication: 2019 Apr 16. - Publication Year :
- 2019
-
Abstract
- Genome Scale Metabolic Models (GSMMs) of the recently sequenced Methylocystis hirsuta and two other methanotrophs from the genus Methylocystis have been reconstructed. These organisms are Type II methanotrophs with the ability of accumulating Polyhydroxyalkanoates under nutrient limiting conditions. For the first time, GSMMs have been reconstructed for Type II methanotrophs. These models, combined with experimental biomass and PHB yields of Methylocystis hirsuta, allowed elucidating the methane oxidation mechanism by the enzyme pMMO (particulate methane monooxygenase) in these organisms. In contrast to Type I methanotrophs, which use the "direct coupling mechanism", Type II methanotrophs appear to use the so called "redox arm mechanism". The utilization of the "redox arm mechanism", which involves the coupling between methane oxidation and complex I of the respiratory chain, was confirmed by inhibition of complex I with catechol. Utilization of the "redox arm" mechanism leads to lower biomass yields on methane compared to Type I methanotrophs. However, the ability of Type II methanotrophs to redirect high metabolic carbon fluxes towards acetoacetyl-CoA under nitrogen limiting conditions makes these organisms promising platforms for metabolic engineering.<br /> (Copyright © 2019 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Metabolic Engineering
Oxidation-Reduction
Bacterial Proteins genetics
Bacterial Proteins metabolism
Electron Transport Complex I genetics
Electron Transport Complex I metabolism
Genome, Bacterial
Methane metabolism
Methylocystaceae genetics
Methylocystaceae metabolism
Models, Biological
Oxygenases genetics
Oxygenases metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1096-7184
- Volume :
- 54
- Database :
- MEDLINE
- Journal :
- Metabolic engineering
- Publication Type :
- Academic Journal
- Accession number :
- 30999053
- Full Text :
- https://doi.org/10.1016/j.ymben.2019.04.001