{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["198"],"submitter":["Indumathi"],"journal":["Journal of bacteriology"],"pagination":["3379-3390"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/MODEL1607200000"],"repository":["biostudies-other"],"additional_accession":["27736793"],"pubmed_authors":["Indumathi","Matthew Richards","Tanisha Malpani"]},"is_claimable":false,"name":"Richards2016 - Genome-scale metabolic reconstruction of Methanococcus maripaludis (iMR539)","description":"<notes xmlns=\"http://www.sbml.org/sbml/level2\">      <body xmlns=\"http://www.w3.org/1999/xhtml\">        <div class=\"dc:title\">Richards2016 - Genome-scale metabolicreconstruction of Methanococcus maripaludis (iMR539)</div><div class=\"dc:bibliographicCitation\">  <p>This model is described in the article:</p>  <div class=\"bibo:title\">    <a href=\"http://identifiers.org/pubmed/27736793\" title=\"Access to this publication\">Exploring Hydrogenotrophic    Methanogenesis: a Genome Scale Metabolic Reconstruction of    Methanococcus maripaludis.</a>  </div>  <div class=\"bibo:authorList\">Richards MA, Lie TJ, Zhang J,  Ragsdale SW, Leigh JA, Price ND.</div>  <div class=\"bibo:Journal\">J. Bacteriol. 2016 Dec; 198(24):  3379-3390</div>  <p>Abstract:</p>  <div class=\"bibo:abstract\">    <p>Hydrogenotrophic methanogenesis occurs in multiple    environments, ranging from the intestinal tracts of animals to    anaerobic sediments and hot springs. Energy conservation in    hydrogenotrophic methanogens was long a mystery; only within    the last decade was it reported that net energy conservation    for growth depends on electron bifurcation. In this work, we    focus on Methanococcus maripaludis, a well-studied    hydrogenotrophic marine methanogen. To better understand    hydrogenotrophic methanogenesis and compare it with    methylotrophic methanogenesis that utilizes oxidative    phosphorylation rather than electron bifurcation, we have built    iMR539, a genome scale metabolic reconstruction that accounts    for 539 of the 1,722 protein-coding genes of M. maripaludis    strain S2. Our reconstructed metabolic network uses recent    literature to not only represent the central electron    bifurcation reaction but also incorporate vital biosynthesis    and assimilation pathways, including unique cofactor and    coenzyme syntheses. We show that our model accurately predicts    experimental growth and gene knockout data, with 93% accuracy    and a Matthews correlation coefficient of 0.78. Furthermore, we    use our metabolic network reconstruction to probe the    implications of electron bifurcation by showing its    essentiality, as well as investigating the infeasibility of    aceticlastic methanogenesis in the network. Additionally, we    demonstrate a method of applying thermodynamic constraints to a    metabolic model to quickly estimate overall free-energy changes    between what comes in and out of the cell. Finally, we describe    a novel reconstruction-specific computational toolbox we    created to improve usability. Together, our results provide a    computational network for exploring hydrogenotrophic    methanogenesis and confirm the importance of electron    bifurcation in this process.Understanding and applying    hydrogenotrophic methanogenesis is a promising avenue for    developing new bioenergy technologies around methane gas.    Although a significant portion of biological methane is    generated through this environmentally ubiquitous pathway,    existing methanogen models portray the more traditional energy    conservation mechanisms that are found in other methanogens. We    have constructed a genome scale metabolic network of    Methanococcus maripaludis that explicitly accounts for all    major reactions involved in hydrogenotrophic methanogenesis.    Our reconstruction demonstrates the importance of electron    bifurcation in central metabolism, providing both a window into    hydrogenotrophic methanogenesis and a hypothesis-generating    platform to fuel metabolic engineering efforts.</p>  </div></div><div class=\"dc:publisher\">  <p>This model is hosted on   <a href=\"http://www.ebi.ac.uk/biomodels/\">BioModels Database</a>  and identified by:   <a href=\"http://identifiers.org/biomodels.db/MODEL1607200000\">MODEL1607200000</a>.</p>  <p>To cite BioModels Database, please use:   <a href=\"http://identifiers.org/pubmed/20587024\" title=\"Latest BioModels Database publication\">BioModels Database:  An enhanced, curated and annotated resource for published  quantitative kinetic models</a>.</p></div><div class=\"dc:license\">  <p>To the extent possible under law, all copyright and related or  neighbouring rights to this encoded model have been dedicated to  the public domain worldwide. Please refer to   <a href=\"http://creativecommons.org/publicdomain/zero/1.0/\" title=\"Access to: CC0 1.0 Universal (CC0 1.0), Public Domain Dedication\">CC0  Public Domain Dedication</a> for more information.</p></div></body>    </notes>","dates":{"release":"2016-07-20T00:00:00Z","modification":"2025-07-14T17:21:29.437Z","creation":"2025-03-31T12:27:17.428Z"},"accession":"MODEL1607200000","cross_references":{"biomodels___db":["BIOMD0000001099"],"pubmed":["27736793"],"mamo":["MAMO_0000009"]}}