Literature DB >> 8412234

An unexpected correlation between cardinal temperatures of microbial growth highlighted by a new model.

L Rosso1, J R Lobry, J P Flandrois.   

Abstract

A new model for the prediction of microbial-specific growth rate as a function of temperature is presented. The four parameters of this model are the three cardinal temperatures (Tmax, Tmin and Topt) and the specific growth rate at the optimum temperature (mu opt). A comparison with three other models was made on the basis of several criteria (simplicity and biological significance of parameters, applicability, quality of fit, minimum structural correlations and ease of determination of parameters). A detailed comparison of a 217-point data set, and an extensive comparison of 47 different data sets show that the new model is better than its competitors. The three cardinal temperatures were found to be independent of mu opt. A very strong and unexpected linear correlation between the cardinal temperatures was observed. The consequences of this biological result are discussed, even though causes remain unknown.

Mesh:

Year:  1993        PMID: 8412234     DOI: 10.1006/jtbi.1993.1099

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  33 in total

1.  Modeling growth and bacteriocin production by Lactobacillus amylovorus DCE 471 in response to temperature and pH values used for sourdough fermentations.

Authors:  Winy Messens; Patricia Neysens; Wim Vansieleghem; Johan Vanderhoeven; Luc De Vuyst
Journal:  Appl Environ Microbiol       Date:  2002-03       Impact factor: 4.792

2.  Variation of branched-chain fatty acids marks the normal physiological range for growth in Listeria monocytogenes.

Authors:  David S Nichols; Kirsty A Presser; June Olley; Tom Ross; Tom A McMeekin
Journal:  Appl Environ Microbiol       Date:  2002-06       Impact factor: 4.792

3.  Effect of temperature and salinity stress on growth and lipid composition of Shewanella gelidimarina.

Authors:  D S Nichols; J Olley; H Garda; R R Brenner; T A McMeekin
Journal:  Appl Environ Microbiol       Date:  2000-06       Impact factor: 4.792

4.  Comparing nonsynergistic gamma models with interaction models to predict growth of emetic Bacillus cereus when using combinations of pH and individual undissociated acids as growth-limiting factors.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Leon G M Gorris; Marcel H Zwietering
Journal:  Appl Environ Microbiol       Date:  2010-07-16       Impact factor: 4.792

5.  Convenient Model To Describe the Combined Effects of Temperature and pH on Microbial Growth.

Authors:  L Rosso; J R Lobry; S Bajard; J P Flandrois
Journal:  Appl Environ Microbiol       Date:  1995-02       Impact factor: 4.792

6.  COP-compost: a software to study the degradation of organic pollutants in composts.

Authors:  Y Zhang; G Lashermes; S Houot; Y-G Zhu; E Barriuso; P Garnier
Journal:  Environ Sci Pollut Res Int       Date:  2013-10-17       Impact factor: 4.223

7.  A model for the combined effects of temperature and salt concentration on growth rate of food spoilage molds.

Authors:  H G Cuppers; S Oomes; S Brul
Journal:  Appl Environ Microbiol       Date:  1997-10       Impact factor: 4.792

8.  Temperature-dependent growth kinetics of Escherichia coli ML 30 in glucose-limited continuous culture.

Authors:  K Kovárová; A J Zehnder; T Egli
Journal:  J Bacteriol       Date:  1996-08       Impact factor: 3.490

9.  Moderate warming in microcosm experiment does not affect microbial communities in temperate vineyard soils.

Authors:  Paola Elisa Corneo; Alberto Pellegrini; Luca Cappellin; Cesare Gessler; Ilaria Pertot
Journal:  Microb Ecol       Date:  2014-01-17       Impact factor: 4.552

10.  Recovery of proteolytic and collagenolytic activities from viscera by-products of rayfish (Raja clavata).

Authors:  Miguel Anxo Murado; María del Pilar González; José Antonio Vázquez
Journal:  Mar Drugs       Date:  2009-12-15       Impact factor: 5.118

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