Literature DB >> 34799445

Energetic scaling in microbial growth.

Salvatore Calabrese1, Arjun Chakrawal2,3, Stefano Manzoni2,3, Philippe Van Cappellen4,5,6.   

Abstract

Microbial growth is a clear example of organization and structure arising in nonequilibrium conditions. Due to the complexity of the microbial metabolic network, elucidating the fundamental principles governing microbial growth remains a challenge. Here, we present a systematic analysis of microbial growth thermodynamics, leveraging an extensive dataset on energy-limited monoculture growth. A consistent thermodynamic framework based on reaction stoichiometry allows us to quantify how much of the available energy microbes can efficiently convert into new biomass while dissipating the remaining energy into the environment and producing entropy. We show that dissipation mechanisms can be linked to the electron donor uptake rate, a fact leading to the central result that the thermodynamic efficiency is related to the electron donor uptake rate by the scaling law [Formula: see text] and to the growth yield by [Formula: see text] These findings allow us to rederive the Pirt equation from a thermodynamic perspective, providing a means to compute its coefficients, as well as a deeper understanding of the relationship between growth rate and yield. Our results provide rather general insights into the relation between mass and energy conversion in microbial growth with potentially wide application, especially in ecology and biotechnology.

Entities:  

Keywords:  energy dissipation; energy scaling; microbial growth; thermodynamic efficiency; thermodynamics

Mesh:

Year:  2021        PMID: 34799445      PMCID: PMC8617484          DOI: 10.1073/pnas.2107668118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  45 in total

1.  A theoretical reassessment of microbial maintenance and implications for microbial ecology modeling.

Authors:  Gangsheng Wang; Wilfred M Post
Journal:  FEMS Microbiol Ecol       Date:  2012-04-30       Impact factor: 4.194

Review 2.  Thermodynamics of stoichiometric biochemical networks in living systems far from equilibrium.

Authors:  Hong Qian; Daniel A Beard
Journal:  Biophys Chem       Date:  2004-12-22       Impact factor: 2.352

3.  Thermodynamics of microbial growth and metabolism: an analysis of the current situation.

Authors:  Urs von Stockar; Thomas Maskow; Jingsong Liu; Ian W Marison; Rodrigo Patiño
Journal:  J Biotechnol       Date:  2005-09-26       Impact factor: 3.307

4.  A black box mathematical model to calculate auto- and heterotrophic biomass yields based on Gibbs energy dissipation.

Authors:  J J Hoijnen; M C van Loosdrecht; L Tijhuis
Journal:  Biotechnol Bioeng       Date:  1992-12-05       Impact factor: 4.530

5.  Minimum energetic cost to maintain a target nonequilibrium state.

Authors:  Jordan M Horowitz; Kevin Zhou; Jeremy L England
Journal:  Phys Rev E       Date:  2017-04-04       Impact factor: 2.529

Review 6.  Energy consumption in chemical fuel-driven self-assembly.

Authors:  Giulio Ragazzon; Leonard J Prins
Journal:  Nat Nanotechnol       Date:  2018-09-17       Impact factor: 39.213

Review 7.  Microbial maintenance: a critical review on its quantification.

Authors:  Peter van Bodegom
Journal:  Microb Ecol       Date:  2007-03-01       Impact factor: 4.552

Review 8.  Bacterial growth laws and their applications.

Authors:  Matthew Scott; Terence Hwa
Journal:  Curr Opin Biotechnol       Date:  2011-05-16       Impact factor: 9.740

9.  The complex relationship between microbial growth rate and yield and its implications for ecosystem processes.

Authors:  David A Lipson
Journal:  Front Microbiol       Date:  2015-06-16       Impact factor: 5.640

10.  Laboratory evolution reveals a two-dimensional rate-yield tradeoff in microbial metabolism.

Authors:  Chuankai Cheng; Edward J O'Brien; Douglas McCloskey; Jose Utrilla; Connor Olson; Ryan A LaCroix; Troy E Sandberg; Adam M Feist; Bernhard O Palsson; Zachary A King
Journal:  PLoS Comput Biol       Date:  2019-06-03       Impact factor: 4.475

View more
  2 in total

1.  Network representation and analysis of energy coupling mechanisms in cellular metabolism by a graph-theoretical approach.

Authors:  Sunil Nath
Journal:  Theory Biosci       Date:  2022-05-02       Impact factor: 1.315

2.  Interacting Bioenergetic and Stoichiometric Controls on Microbial Growth.

Authors:  Arjun Chakrawal; Salvatore Calabrese; Anke M Herrmann; Stefano Manzoni
Journal:  Front Microbiol       Date:  2022-05-17       Impact factor: 6.064

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.