Literature DB >> 16597961

Specific growth rate determines the sensitivity of Escherichia coli to thermal, UVA, and solar disinfection.

Michael Berney1, Hans-Ulrich Weilenmann, Julian Ihssen, Claudio Bassin, Thomas Egli.   

Abstract

Knowledge about the sensitivity of the test organism is essential for the evaluation of any disinfection method. In this work we show that sensitivity of Escherichia coli MG1655 to three physical stresses (mild heat, UVA light, and sunlight) that are relevant in the disinfection of drinking water with solar radiation is determined by the specific growth rate of the culture. Batch- and chemostat-cultivated cells from cultures with similar specific growth rates showed similar stress sensitivities. Generally, fast-growing cells were more sensitive to the stresses than slow-growing cells. For example, slow-growing chemostat-cultivated cells (D = 0.08 h(-1)) and stationary-phase bacteria from batch culture that were exposed to mild heat had very similar T(90) (time until 90% of the population is inactivated) values (T(90, chemostat) = 2.66 h; T(90, batch) = 2.62 h), whereas T(90) for cells growing at a mu of 0.9 h(-1) was 0.2 h. We present evidence that the stress sensitivity of E. coli is correlated with the intracellular level of the alternative sigma factor RpoS. This is also supported by the fact that E. coli rpoS mutant cells were more stress sensitive than the parent strain by factors of 4.9 (mild heat), 5.3 (UVA light), and 4.1 (sunlight). Furthermore, modeling of inactivation curves with GInaFiT revealed that the shape of inactivation curves changed depending on the specific growth rate. Inactivation curves of cells from fast-growing cultures (mu = 1.0 h(-1)) that were irradiated with UVA light showed a tailing effect, while for slow-growing cultures (mu = 0.3 h(-1)), inactivation curves with shoulders were obtained. Our findings emphasize the need for accurate reporting of specific growth rates and detailed culture conditions in disinfection studies to allow comparison of data from different studies and laboratories and sound interpretation of the data obtained.

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Year:  2006        PMID: 16597961      PMCID: PMC1449012          DOI: 10.1128/AEM.72.4.2586-2593.2006

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  32 in total

1.  Structural model requirements to describe microbial inactivation during a mild heat treatment.

Authors:  A H Geeraerd; C H Herremans; J F Van Impe
Journal:  Int J Food Microbiol       Date:  2000-09-10       Impact factor: 5.277

2.  GInaFiT, a freeware tool to assess non-log-linear microbial survivor curves.

Authors:  A H Geeraerd; V P Valdramidis; J F Van Impe
Journal:  Int J Food Microbiol       Date:  2005-06-25       Impact factor: 5.277

3.  RpoS- and OxyR-independent induction of HPI catalase at stationary phase in Escherichia coli and identification of rpoS mutations in common laboratory strains.

Authors:  J E Visick; S Clarke
Journal:  J Bacteriol       Date:  1997-07       Impact factor: 3.490

4.  Biphasic thermal inactivation kinetics in Salmonella enteritidis PT4.

Authors:  L Humpheson; M R Adams; W A Anderson; M B Cole
Journal:  Appl Environ Microbiol       Date:  1998-02       Impact factor: 4.792

Review 5.  Mechanisms of thermal injury in nonsporulating bacteria.

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Journal:  Adv Appl Microbiol       Date:  1970       Impact factor: 5.086

6.  Survival of Escherichia coli exposed to visible light in seawater: analysis of rpoS-dependent effects.

Authors:  M Gourmelon; D Touati; M Pommepuy; M Cormier
Journal:  Can J Microbiol       Date:  1997-11       Impact factor: 2.419

7.  Growth phase-dependent variation in protein composition of the Escherichia coli nucleoid.

Authors:  T Ali Azam; A Iwata; A Nishimura; S Ueda; A Ishihama
Journal:  J Bacteriol       Date:  1999-10       Impact factor: 3.490

8.  Changes in the ultraviolet sensitivity of Escherichia coli during growth in batch cultures.

Authors:  R A Morton; R H Haynes
Journal:  J Bacteriol       Date:  1969-03       Impact factor: 3.490

9.  Specific growth rate and not cell density controls the general stress response in Escherichia coli.

Authors:  Julian Ihssen; Thomas Egli
Journal:  Microbiology       Date:  2004-06       Impact factor: 2.777

10.  Induction of RpoS-dependent functions in glucose-limited continuous culture: what level of nutrient limitation induces the stationary phase of Escherichia coli?

Authors:  L Notley; T Ferenci
Journal:  J Bacteriol       Date:  1996-03       Impact factor: 3.490

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  45 in total

1.  Induction of fatty acid composition modifications and tolerance to biocides in Salmonella enterica serovar Typhimurium by plant-derived terpenes.

Authors:  Florence Dubois-Brissonnet; Murielle Naïtali; Akier Assanta Mafu; Romain Briandet
Journal:  Appl Environ Microbiol       Date:  2010-12-03       Impact factor: 4.792

2.  Enhancement of UV light sensitivity of a Vibrio parahaemolyticus O3:K6 pandemic strain due to natural lysogenization by a telomeric phage.

Authors:  Beatriz Zabala; Katherine García; Romilio T Espejo
Journal:  Appl Environ Microbiol       Date:  2009-01-16       Impact factor: 4.792

3.  Stress Resistance Development and Genome-Wide Transcriptional Response of Escherichia coli O157:H7 Adapted to Sublethal Thymol, Carvacrol, and trans-Cinnamaldehyde.

Authors:  Wenqian Yuan; Zi Jing Seng; Gurjeet Singh Kohli; Liang Yang; Hyun-Gyun Yuk
Journal:  Appl Environ Microbiol       Date:  2018-10-30       Impact factor: 4.792

4.  Physiologic effects of forced down-regulation of dnaK and groEL expression in Streptococcus mutans.

Authors:  José A Lemos; Yaima Luzardo; Robert A Burne
Journal:  J Bacteriol       Date:  2006-12-15       Impact factor: 3.490

5.  Prodigiosin from Vibrio sp. DSM 14379; a new UV-protective pigment.

Authors:  Maja Borić; Tjaša Danevčič; David Stopar
Journal:  Microb Ecol       Date:  2011-05-06       Impact factor: 4.552

6.  Tolerance to oxidative stress is associated with both oxidative stress response and inherent growth in a fungal wheat pathogen.

Authors:  Ziming Zhong; Bruce A McDonald; Javier Palma-Guerrero
Journal:  Genetics       Date:  2021-02-09       Impact factor: 4.562

7.  Sub-inhibitory concentrations of antibiotics and wastewater influencing biofilm formation and gene expression of multi-resistant Pseudomonas aeruginosa wastewater isolates.

Authors:  Julia Bruchmann; Silke Kirchen; Thomas Schwartz
Journal:  Environ Sci Pollut Res Int       Date:  2013-02-08       Impact factor: 4.223

8.  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

9.  Role of Clp proteins in expression of virulence properties of Streptococcus mutans.

Authors:  Jessica K Kajfasz; Alaina R Martinez; Isamar Rivera-Ramos; Jacqueline Abranches; Hyun Koo; Robert G Quivey; José A Lemos
Journal:  J Bacteriol       Date:  2009-01-30       Impact factor: 3.490

10.  Production of glycoprotein vaccines in Escherichia coli.

Authors:  Julian Ihssen; Michael Kowarik; Sandro Dilettoso; Cyril Tanner; Michael Wacker; Linda Thöny-Meyer
Journal:  Microb Cell Fact       Date:  2010-08-11       Impact factor: 5.328

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