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Metabolic network reconstruction,growth characterization and 13C-metabolic flux analysis of the extremophile Thermus thermophilus HB8
Institution:1. Hydrothermal Geomicrobiology Group, MARUM — Center for Marine Environmental Sciences, University of Bremen, PO Box 330440, 28334, Bremen, Germany;2. Research Group for Marine Geochemistry (ICBM-MPI Bridging Group), Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, Carl-von-Ossietzky-Str. 9-11, 26129 Oldenburg, Germany;3. Geochemistry and Hydrogeology Group, University of Bremen, PO Box 330440, 28334, Bremen, Germany;1. Institute for Water and River Basin Management, Department of Aquatic Environmental Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;2. Departamento de Hidráulica e Saneamento, Universidade Federal do Paraná (UFPR), Curitiba, Brazil;1. Department of Ecology, Evolution and Diversity, Goethe-University Frankfurt am Main, Max-von-Laue-Str. 13, D-60438 Frankfurt, Germany;2. Senckenberg Biodiversity and Climate Research Center, Senckenberganlage 25, D-60325 Frankfurt, Germany;1. Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, China;2. Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Abstract:Thermus thermophilus is an extremely thermophilic bacterium with significant biotechnological potential. In this work, we have characterized aerobic growth characteristics of T. thermophilus HB8 at temperatures between 50 and 85 °C, constructed a metabolic network model of its central carbon metabolism and validated the model using 13C-metabolic flux analysis (13C–MFA). First, cells were grown in batch cultures in custom constructed mini-bioreactors at different temperatures to determine optimal growth conditions. The optimal temperature for T. thermophilus grown on defined medium with glucose was 81 °C. The maximum growth rate was 0.25 h?1. Between 50 and 81 °C the growth rate increased by 7-fold and the temperature dependence was described well by an Arrhenius model with an activation energy of 47 kJ/mol. Next, we performed a 13C-labeling experiment with 1,2-13C] glucose as the tracer and calculated intracellular metabolic fluxes using 13C–MFA. The results provided support for the constructed network model and highlighted several interesting characteristics of T. thermophilus metabolism. We found that T. thermophilus largely uses glycolysis and TCA cycle to produce biosynthetic precursors, ATP and reducing equivalents needed for cells growth. Consistent with its proposed metabolic network model, we did not detect any oxidative pentose phosphate pathway flux or Entner-Doudoroff pathway activity. The biomass precursors erythrose-4-phosphate and ribose-5-phosphate were produced via the non-oxidative pentose phosphate pathway, and largely via transketolase, with little contribution from transaldolase. The high biomass yield on glucose that was measured experimentally was also confirmed independently by 13C–MFA. The results presented here provide a solid foundation for future studies of T. thermophilus and its metabolic engineering applications.
Keywords:Extremophile  Thermophilic bacterium  Optimal growth  Metabolic network model  Isotopic labeling
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