Literature DB >> 630068

Analysis of double-substrate limited growth.

F G Bader.   

Abstract

Mathematical models which relate the growth rate of a microorganism to a single limiting substrate concentration have long been established. In recent years, it has become apparent that, under certain conditions, the growth rate of an organism may be simultaneously limited by two or more substrates. Mathematical models of double-substrate limitation fall into two categories: interactive and noninteractive models. A discussion of both types of models is presented in both conceptual and mathematical terms. An analogous case of an enzyme which requires two different substrates to produce a single product is presented. This enzyme analog indicates that both types of double-substrate limitation models appear to be feasible under certain conditions. Based upon stoichiometry and specific growth rate-substrate concentration contour plots, a method for determining the operational conditions which will lead to double-substrate limitation is presented.

Mesh:

Year:  1978        PMID: 630068     DOI: 10.1002/bit.260200203

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


  11 in total

1.  Defined spatial structure stabilizes a synthetic multispecies bacterial community.

Authors:  Hyun Jung Kim; James Q Boedicker; Jang Wook Choi; Rustem F Ismagilov
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-14       Impact factor: 11.205

Review 2.  Growth kinetics of suspended microbial cells: from single-substrate-controlled growth to mixed-substrate kinetics.

Authors:  K Kovárová-Kovar; T Egli
Journal:  Microbiol Mol Biol Rev       Date:  1998-09       Impact factor: 11.056

3.  Scaling and optimal synergy: Two principles determining microbial growth in complex media.

Authors:  Francesco Alessandro Massucci; Roger Guimerà; Luís A Nunes Amaral; Marta Sales-Pardo
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-06-08

4.  Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions.

Authors:  Babak Momeni; Li Xie; Wenying Shou
Journal:  Elife       Date:  2017-03-28       Impact factor: 8.140

5.  Classical and resource-based competition: a unifying graphical approach.

Authors:  Mary M Ballyk; Gail S K Wolkowicz
Journal:  J Math Biol       Date:  2010-02-17       Impact factor: 2.259

Review 6.  Molecular-level tradeoffs and metabolic adaptation to simultaneous stressors.

Authors:  Ross P Carlson; Reed L Taffs
Journal:  Curr Opin Biotechnol       Date:  2010-07-14       Impact factor: 9.740

7.  Multistability and regime shifts in microbial communities explained by competition for essential nutrients.

Authors:  Veronika Dubinkina; Yulia Fridman; Parth Pratim Pandey; Sergei Maslov
Journal:  Elife       Date:  2019-11-22       Impact factor: 8.140

8.  Phenomenological model for predicting the catabolic potential of an arbitrary nutrient.

Authors:  Samuel M D Seaver; Marta Sales-Pardo; Roger Guimerà; Luís A Nunes Amaral
Journal:  PLoS Comput Biol       Date:  2012-11-01       Impact factor: 4.475

9.  A General Model for Biofilm-Driven Microbial Electrosynthesis of Carboxylates From CO2.

Authors:  Oriol Cabau-Peinado; Adrie J J Straathof; Ludovic Jourdin
Journal:  Front Microbiol       Date:  2021-06-04       Impact factor: 5.640

10.  Individual-Based Model of Microbial Life on Hydrated Rough Soil Surfaces.

Authors:  Minsu Kim; Dani Or
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

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