Literature DB >> 24138539

Transcriptomic analysis of triclosan-susceptible and -tolerant Escherichia coli O157:H19 in response to triclosan exposure.

Mary Lenahan1, Áine Sheridan, Dermot Morris, Geraldine Duffy, Séamus Fanning, Catherine M Burgess.   

Abstract

Triclosan is an active agent that is commonly found in biocide formulations which are used by the food industry to control microbial contamination. The aim of this study was to use microarray analysis to compare gene expression between a triclosan-susceptible Escherichia coli O157:H19 isolate (minimum inhibitory concentration [MIC] 6.25 μg/ml) and its in vitro generated triclosan-tolerant mutant (MIC >8,000 μg/ml). Gene expression profiling was performed on the wild-type and mutant isogenic pairs after 30 min exposure to the parent MIC for triclosan and an untreated control. Microarray analysis was carried out using the Affymetrix GeneChip E. coli Genome 2.0 Array, and differential expression of genes was analyzed using the pumaDE method in Bioconductor R software. Wild-type gene expression was found to be significantly different from the triclosan-tolerant mutant for a large number of genes, even in the absence of triclosan exposure. Significant differences were observed in the expression of a number of pathway genes involved in metabolism, transport, and chemotaxis. In particular, gene expression in the triclosan-tolerant mutant was highly up-regulated for 33 of 38 genes belonging to the flagellar assembly pathway. The presence of extended flagella in the mutant isolate was confirmed visually by transmission electron microscopy, although no significant difference was observed in the motility of the parent and mutant at low levels of triclosan. Data from this study show that at a transcriptomic level, a triclosan-tolerant E. coli O157:H19 mutant is significantly different from the wild-type strain in a number of different pathways, providing an increased understanding of triclosan tolerance.

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Year:  2013        PMID: 24138539     DOI: 10.1089/mdr.2013.0063

Source DB:  PubMed          Journal:  Microb Drug Resist        ISSN: 1076-6294            Impact factor:   3.431


  5 in total

1.  Transcriptomic analysis displays the effect of (-)-roemerine on the motility and nutrient uptake in Escherichia coli.

Authors:  Dilara Ayyildiz; Kazim Yalcin Arga; Fatma Gizem Avci; Fatma Ece Altinisik; Caglayan Gurer; Gizem Gulsoy Toplan; Dilek Kazan; Katharina Wozny; Britta Brügger; Bulent Mertoglu; Berna Sariyar Akbulut
Journal:  Curr Genet       Date:  2016-12-24       Impact factor: 3.886

2.  Comparative genomic analysis of a multiple antimicrobial resistant enterotoxigenic E. coli O157 lineage from Australian pigs.

Authors:  Ethan Wyrsch; Piklu Roy Chowdhury; Sam Abraham; Jerran Santos; Aaron E Darling; Ian G Charles; Toni A Chapman; Steven P Djordjevic
Journal:  BMC Genomics       Date:  2015-03-10       Impact factor: 3.969

Review 3.  Multi-Omics Approach in Amelioration of Food Products.

Authors:  Bandita Dutta; Dibyajit Lahiri; Moupriya Nag; Rose Abukhader; Tanmay Sarkar; Siddhartha Pati; Vijay Upadhye; Soumya Pandit; Mohamad Faiz Mohd Amin; Abdel Rahman Mohammad Said Al Tawaha; Manoj Kumar; Rina Rani Ray
Journal:  Front Microbiol       Date:  2022-07-12       Impact factor: 6.064

4.  Experimental evolution in morbidostat reveals converging genomic trajectories on the path to triclosan resistance.

Authors:  Semen A Leyn; Jaime E Zlamal; Oleg V Kurnasov; Xiaoqing Li; Marinela Elane; Lourdes Myjak; Mikolaj Godzik; Alban de Crecy; Fernando Garcia-Alcalde; Martin Ebeling; Andrei L Osterman
Journal:  Microb Genom       Date:  2021-05

Review 5.  Foodomic-Based Approach for the Control and Quality Improvement of Dairy Products.

Authors:  Rubén Agregán; Noemí Echegaray; Asad Nawaz; Christophe Hano; Gholamreza Gohari; Mirian Pateiro; José M Lorenzo
Journal:  Metabolites       Date:  2021-11-29
  5 in total

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