Literature DB >> 17089390

Thermodynamic electron equivalents model for bacterial yield prediction: modifications and comparative evaluations.

Perry L McCarty1.   

Abstract

Modifications are made to an earlier thermodynamic model (TEEM1) for prediction of maximum microbial yields from aerobic and anaerobic as well as heterotrophic and autotrophic growth. The revised model (TEEM2) corrects for lower yields found with aerobic oxidations of organic compounds where an oxygenase is involved and with growth on single-carbon (C1) compounds. TEEM1 and TEEM2 are based on energy release and consumption as determined from the reduction potential or Gibbs free energy of (1/2)-reaction reduction equations together with losses of energy during energy transfer. Energy transfer efficiency is a key parameter needed to make predictions with TEEM2, and was determined through evaluations with extensive data sets on aerobic heterotrophic yield available in the literature. For compounds following normal catabolic pathways, the best-fit value for energy transfer efficiency was 0.37, which permitted accurate predictions of growth with a precision of 15%-20% as determined by standard deviation. Using the same energy transfer efficiency, a similar precision, but somewhat less accuracy was found for organic compounds where oxidation involves an oxygenase (estimates 8% too high) and for C1 compounds (estimates 17% too high). In spite of the somewhat lower accuracy, the TEEM2 modifications resulted in improved predictions over TEEM1 and the comparison models. (c) 2006 Wiley Periodicals, Inc.

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Year:  2007        PMID: 17089390     DOI: 10.1002/bit.21250

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  10 in total

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Authors:  Damian E Helbling; Frederik Hammes; Thomas Egli; Hans-Peter E Kohler
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2.  Consistent microbial dynamics and functional community patterns derived from first principles.

Authors:  Hadrien Delattre; Elie Desmond-Le Quéméner; Christian Duquennoi; Ahlem Filali; Théodore Bouchez
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4.  Thermodynamics of microbial growth coupled to metabolism of glucose, ethanol, short-chain organic acids, and hydrogen.

Authors:  Eric E Roden; Qusheng Jin
Journal:  Appl Environ Microbiol       Date:  2011-01-07       Impact factor: 4.792

5.  Interacting Bioenergetic and Stoichiometric Controls on Microbial Growth.

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Authors:  Johana Husserl; Jim C Spain; Joseph B Hughes
Journal:  Appl Environ Microbiol       Date:  2010-01-08       Impact factor: 4.792

7.  MbT-Tool: An open-access tool based on Thermodynamic Electron Equivalents Model to obtain microbial-metabolic reactions to be used in biotechnological process.

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8.  Dynamic modeling of anaerobic methane oxidation coupled to sulfate reduction: role of elemental sulfur as intermediate.

Authors:  Artin Hatzikioseyian; Susma Bhattarai; Chiara Cassarini; Giovanni Esposito; Piet N L Lens
Journal:  Bioprocess Biosyst Eng       Date:  2021-02-10       Impact factor: 3.210

9.  Optimum O2:CH4 Ratio Promotes the Synergy between Aerobic Methanotrophs and Denitrifiers to Enhance Nitrogen Removal.

Authors:  Jing Zhu; Xingkun Xu; Mengdong Yuan; Hanghang Wu; Zhuang Ma; Weixiang Wu
Journal:  Front Microbiol       Date:  2017-06-16       Impact factor: 5.640

10.  Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling.

Authors:  Hyun-Seob Song; James C Stegen; Emily B Graham; Joon-Yong Lee; Vanessa A Garayburu-Caruso; William C Nelson; Xingyuan Chen; J David Moulton; Timothy D Scheibe
Journal:  Front Microbiol       Date:  2020-10-23       Impact factor: 5.640

  10 in total

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