Influences of epigallocatechin gallate and citric acid on Escherichia coli O157:H7 toxin gene expression and virulence-associated stress response

2018 ◽  
Vol 67 (5) ◽  
pp. 435-441 ◽  
Author(s):  
J. Yang ◽  
C.B. Tang ◽  
J. Xiao ◽  
W.F. Du ◽  
R. Li
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Stress Response ◽  
Citric Acid ◽  
Epigallocatechin Gallate ◽  
Toxin Gene ◽  
Escherichia Coli O157 ◽  
Toxin Gene Expression

Expression of Stress and Virulence Genes in Escherichia coli O157:H7 Heat Shocked in Fresh Dairy Compost

2015 ◽  
Vol 78 (1) ◽  
pp. 31-41 ◽  
Author(s):  
RANDHIR SINGH ◽  
XIUPING JIANG
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Heat Shock ◽  
Heat Shock Response ◽  
Virulence Genes ◽  
Toxin Gene ◽  
Escherichia Coli O157 ◽  
Heat Shock Genes ◽  
E Coli ◽  
Shock Response

The purpose of this study was to determine the gene expression of Escherichia coli O157:H7 heat shocked in dairy compost. A two-step real-time PCR assay was used to evaluate the expression of stress and virulence genes in E. coli O157:H7 heat shocked in compost at 47.5°C for 10 min. Heat-shocked E. coli O157:H7 in compost was isolated by using an immunomagnetic bead separation method, followed by total RNA extraction, which was then converted to cDNA by using a commercial kit. E. coli O157:H7 heat shocked in broth served as the media control. In compost, heat shock genes (clpB, dnaK, and groEL) and the alternative sigma factor (rpoH) of E. coli O157:H7 were upregulated (P < 0.05), whereas the expression of trehalose synthesis genes did not change. Virulence genes, such as stx1 and fliC, were upregulated, while genes stx2, eaeA, and hlyA were down-regulated. In the toxin-antitoxin (TA) system, toxin genes, mazF, hipA, and yafQ were upregulated, whereas among antitoxin genes, only dinJ was upregulated (P < 0.05). In tryptic soy broth, all heat shock genes (rpoH, clpB, dnaK, and groEL) were upregulated (P < 0.05), and most virulence genes (stx1, stx2, hlyA, and fliC) and TA genes (mazF-mazE, hipA-hipB, and yafQ-dinJ and toxin gene chpS) were down-regulated. Our results revealed various gene expression patterns when E. coli O157:H7 inoculated in compost was exposed to a sublethal temperature. Clearly, induction of the heat shock response is one of the important protective mechanisms that prolongs the survival of pathogens during the composting process. In addition, other possible mechanisms (such as the TA system) operating along with heat shock response may be responsible for the extended survival of pathogens in compost.

Thermal and Starvation Stress Response of Escherichia coli O157:H7 Isolates Selected from Agricultural Environments

2016 ◽  
Vol 79 (10) ◽  
pp. 1673-1679 ◽  
Author(s):  
ACHYUT ADHIKARI ◽  
ANDY BARY ◽  
CRAIG COGGER ◽  
CALEB JAMES ◽  
GÜLHAN ÜNLÜ ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Heat Stress ◽  
Stress Response ◽  
Weibull Model ◽  
Stress Conditions ◽  
Inactivation Kinetics ◽  
Escherichia Coli O157 ◽  
Starvation Stress ◽  
E Coli ◽  
Response To Stress

ABSTRACT Pathogens exposed to agricultural production environments are subject to multiple stresses that may alter their survival under subsequent stress conditions. The objective of this study was to examine heat and starvation stress response of Escherichia coli O157:H7 strains isolated from agricultural matrices. Seven E. coli O157:H7 isolates from different agricultural matrices—soil, compost, irrigation water, and sheep manure—were selected, and two ATCC strains were used as controls. The E. coli O157:H7 isolates were exposed to heat stress (56°C in 0.1% peptone water for up to 1 h) and starvation (in phosphate-buffered saline at 37°C for 15 days), and their survival was examined. GInaFiT freeware tool was used to perform regression analyses of the surviving populations. The Weibull model was identified as the most appropriate model for response of the isolates to heat stress, whereas the biphasic survival curves during starvation were fitted using the double Weibull model, indicating the adaptation to starvation or a resistant subpopulation. The inactivation time during heating to achieve the first decimal reduction time (δ) calculated with the Weibull parameters was the highest (45 min) for a compost isolate (Comp60A) and the lowest (28 min) for ATCC strain 43895. Two of the nine isolates (ATCC 43895 and a manure isolate) had β < 1, indicating that surviving populations adapted to heat stress, and six strains demonstrated downward concavity (β > 1), indicating decreasing heat resistance over time. The ATCC strains displayed the longest δ2 (>1,250 h) in response to starvation stress, compared with from 328 to 812 h for the environmental strains. The considerable variation in inactivation kinetics of E. coli O157:H7 highlights the importance of evaluating response to stress conditions among individual strains of a specific pathogen. Environmental isolates did not exhibit more robust response to stress conditions in this study compared with ATCC strains.

scholarly journals Cell-to-cell heterogeneity in Escherichia coli stress response originates from pulsatile expression and growth

2020 ◽  
Author(s):  
Nadia M. V. Sampaio ◽  
Caroline M. Blassick ◽  
Jean-Baptiste Lugagne ◽  
Mary J. Dunlop
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Stress Response ◽  
Single Cell ◽  
Phenotypic Variability ◽  
Growth Dynamics ◽  
Time Lapse ◽  
Cell Heterogeneity ◽  
Temporal Expression ◽  
Functional Consequences

AbstractCell-to-cell heterogeneity in gene expression and growth can have critical functional consequences, such as determining whether individual bacteria survive or die following stress. Although phenotypic variability is well documented, the dynamics that underlie it are often unknown. This information is critical because dramatically different outcomes can arise from gradual versus rapid changes in expression and growth. Using single-cell time-lapse microscopy, we measured the temporal expression of a suite of stress response reporters in Escherichia coli, while simultaneously monitoring growth rate. In conditions without stress, we found widespread examples of pulsatile expression. Single-cell growth rates were often anti-correlated with gene expression, with changes in growth preceding changes in expression. These pulsatile dynamics have functional consequences, which we demonstrate by measuring survival after challenging cells with the antibiotic ciprofloxacin. Our results suggest that pulsatile expression and growth dynamics are common in stress response networks and can have direct consequences for survival.

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