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Title: Towards a Computational Model of a Methane Producing Archaeum

Journal Article · · Archaea
DOI:https://doi.org/10.1155/2014/898453· OSTI ID:1227782
 [1]; ORCiD logo [2];  [3];  [3]; ORCiD logo [2];  [4];  [3];  [5]
  1. Department of Chemistry, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA
  2. Center for Biophysics and Computational Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA
  3. Department of Microbiology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA
  4. Center for Biophysics and Computational Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Department of Physics, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA
  5. Department of Chemistry, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Center for Biophysics and Computational Biology, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA; Department of Physics, University of Illinois at Urbana Champaign, Urbana, IL 61801, USA

Progress towards a complete model of the methanogenic archaeumMethanosarcina acetivoransis reported. We characterized size distribution of the cells using differential interference contrast microscopy, finding them to be ellipsoidal with mean length and width of 2.9 μm and 2.3 μm, respectively, when grown on methanol and 30% smaller when grown on acetate. We used the single molecule pull down (SiMPull) technique to measure average copy number of the Mcr complex and ribosomes. A kinetic model for the methanogenesis pathways based on biochemical studies and recent metabolic reconstructions for several related methanogens is presented. In this model, 26 reactions in the methanogenesis pathways are coupled to a cell mass production reaction that updates enzyme concentrations. RNA expression data (RNA-seq) measured for cell cultures grown on acetate and methanol is used to estimate relative protein production per mole of ATP consumed. The model captures the experimentally observed methane production rates for cells growing on methanol and is most sensitive to the number of methyl-coenzyme-M reductase (Mcr) and methyl-tetrahydromethanopterin:coenzyme-M methyltransferase (Mtr) proteins. A draft transcriptional regulation network based on known interactions is proposed which we intend to integrate with the kinetic model to allow dynamic regulation.

Research Organization:
Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
FG02-10ER6510; NNA13AA91A; FG02-02ER15296
OSTI ID:
1227782
Alternate ID(s):
OSTI ID: 1626224
Journal Information:
Archaea, Journal Name: Archaea Vol. 2014; ISSN 1472-3646
Publisher:
HindawiCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 13 works
Citation information provided by
Web of Science

References (4)

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Changes in concentrations of coenzyme F420 analogs during batch growth of Methanosarcina barkeri and Methanosarcina mazei. journal January 1989