Literature DB >> 17333428

Microbial maintenance: a critical review on its quantification.

Peter van Bodegom1.   

Abstract

Microbial maintenance is an important concept in microbiology. Its quantification, however, is a subject of continuous debate, which seems to be caused by (1) its definition, which includes nongrowth components other than maintenance; (2) the existence of partly overlapping concepts; (3) the evolution of variables as constants; and (4) the neglect of cell death in microbial dynamics. The two historically most important parameters describing maintenance, the specific maintenance rate and the maintenance coefficient, are based on partly different nongrowth components. There is thus no constant relation between these parameters and previous equations on this subject are wrong. In addition, the partial overlap between these parameters does not allow the use of a simple combination of these parameters. This also applies for combinations of a threshold concentration with one of the other estimates of maintenance. Maintenance estimates should ideally explicitly describe each nongrowth component. A conceptual model is introduced that describes their relative importance and reconciles the various concepts and definitions. The sensitivity of maintenance on underlying components was analyzed and indicated that overall maintenance depends nonlinearly on relative death rates, relative growth rates, growth yield, and endogenous metabolism. This quantitative sensitivity analysis explains the felt need to develop growth-dependent adaptations of existing maintenance parameters, and indicates the importance of distinguishing the various nongrowth components. Future experiments should verify the sensitivity of maintenance components under cellular and environmental conditions.

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Year:  2007        PMID: 17333428      PMCID: PMC1915598          DOI: 10.1007/s00248-006-9049-5

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  29 in total

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

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Journal:  Biotechnol Bioeng       Date:  1992-12-05       Impact factor: 4.530

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Journal:  Can J Microbiol       Date:  1988-04       Impact factor: 2.419

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Journal:  Biotechnol Bioeng       Date:  1970-11       Impact factor: 4.530

10.  Aerobic and anaerobic starvation metabolism in methanotrophic bacteria.

Authors:  P Roslev; G M King
Journal:  Appl Environ Microbiol       Date:  1995-04       Impact factor: 4.792

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  68 in total

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Review 6.  Physiological and Transcriptional Responses of Different Industrial Microbes at Near-Zero Specific Growth Rates.

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7.  The physiology and ecological implications of efficient growth.

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8.  A Comprehensively Curated Genome-Scale Two-Cell Model for the Heterocystous Cyanobacterium Anabaena sp. PCC 7120.

Authors:  David Malatinszky; Ralf Steuer; Patrik R Jones
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9.  Genome-wide transcriptional responses to carbon starvation in nongrowing Lactococcus lactis.

Authors:  Onur Ercan; Michiel Wels; Eddy J Smid; Michiel Kleerebezem
Journal:  Appl Environ Microbiol       Date:  2015-01-30       Impact factor: 4.792

10.  Exploring evolution of maximum growth rates in plankton.

Authors:  Kevin J Flynn; David O F Skibinski
Journal:  J Plankton Res       Date:  2020-09-04       Impact factor: 2.455

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