Literature DB >> 15380660

Dual nutrient limited growth: models, experimental observations, and applications.

Manfred Zinn1, Bernard Witholt, Thomas Egli.   

Abstract

Dual nutrient limited growth, the control of the cell growth rate (kinetic aspect) or the restriction of the amount of biomass (stoichiometric aspect) by two nutrients at the same time, is a relatively unknown ability of the microorganisms and consequently, still not mentioned in textbooks to date. Nevertheless, multiple nutrient limited or controlled growth has been reported for different systems; e.g. ecosystems, batch, fed-batch, and chemostat cultures. Generally, dual nutrient limited growth has been observed when the microorganism of interest: (a) showed a variation of the cellular composition, (b) was able to accumulate a storage compound, (c) changed the cell metabolism, or (d) excreted metabolic intermediates. Consequently, stoichiometric models have been developed to estimate the growth conditions leading to dual nutrient limited growth. A general problem of the kinetic aspect is the accurate measurement of the growth controlling nutrients in the culture broth (microg l(-1) range), as the cells may consume residual nutrients during sampling. Nevertheless, most models of dual limited growth deal with the kinetic aspect although the control experiments are difficult to carry out. The aim of this survey is to introduce this special growth feature with respect to basic models, experimental data, and potential applications in bioprocesses.

Mesh:

Year:  2004        PMID: 15380660     DOI: 10.1016/j.jbiotec.2004.03.030

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  21 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

2.  Modelling the multidimensional niche by linking functional traits to competitive performance.

Authors:  Daniel S Maynard; Kenneth E Leonard; John M Drake; David W Hall; Thomas W Crowther; Mark A Bradford
Journal:  Proc Biol Sci       Date:  2015-07-22       Impact factor: 5.349

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.  Gene expression analysis of E. coli strains provides insights into the role of gene regulation in diversification.

Authors:  Marius Vital; Benli Chai; Bjørn Østman; James Cole; Konstantinos T Konstantinidis; James M Tiedje
Journal:  ISME J       Date:  2014-10-24       Impact factor: 10.302

5.  Modeling lipid accumulation in oleaginous fungi in chemostat cultures: I. Development and validation of a chemostat model for Umbelopsis isabellina.

Authors:  Petra Meeuwse; Johannes Tramper; Arjen Rinzema
Journal:  Bioprocess Biosyst Eng       Date:  2011-05-03       Impact factor: 3.210

6.  Dynamic metabolic flux analysis demonstrated on cultures where the limiting substrate is changed from carbon to nitrogen and vice versa.

Authors:  Gaspard Lequeux; Joeri Beauprez; Jo Maertens; Ellen Van Horen; Wim Soetaert; Erick Vandamme; Peter A Vanrolleghem
Journal:  J Biomed Biotechnol       Date:  2010-08-23

7.  Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity.

Authors:  Q K Beg; A Vazquez; J Ernst; M A de Menezes; Z Bar-Joseph; A-L Barabási; Z N Oltvai
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-24       Impact factor: 11.205

8.  Physiological and proteomic analysis of Escherichia coli iron-limited chemostat growth.

Authors:  James Patrick Folsom; Albert E Parker; Ross P Carlson
Journal:  J Bacteriol       Date:  2014-05-16       Impact factor: 3.490

9.  Characterization of proton production and consumption associated with microbial metabolism.

Authors:  Karthikeyan Srinivasan; Radhakrishnan Mahadevan
Journal:  BMC Biotechnol       Date:  2010-01-20       Impact factor: 2.563

10.  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

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