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Research Article

Comparative transcriptome analysis of virulence genes of enterohemorrhagic Escherichia coli O157:H7 to acid stress

, , , , &
Pages 91-110 | Published online: 18 Apr 2021
 

ABSTRACT

Enterohaemorrhagic Escherichia coli (EHEC) O157:H7 mounts specific acid-resistance systems against acid stress, making it more difficult to eradicate in food industry. To date, RNAseq-based analysis focusing on the virulence factors within an acidic environment is restricted to asmall part of virulence gene clusters. In this study E.coli O157:H7 survived HCl stress at pH 3.0 for up to 1 h preceded by acid adaptation at pH 5.5 for 1 h. At the same time, bacteria without stimulus were cultured in neutral TSB broth for 2 h.Then, transcriptome analysis was performed to compare virulence-related genes at neutral and acidic pH. Though transcripts indicated adownshift of the flagellar, fimbriae and LEE-associated genes, the increased expression of adhesin-related genes, iron uptake genes and some potential virulence factors were identified. Comparison of the gene expression with respect to virulence factors revealed strongest cell response to the relevant stress and increased protective response for survival in the acidic pH. This suggests that E.coli O157:H7 might be still virulent following HCl stress.

Acknowledgments

This work was supported by the National Key Research and Development Program of China [grant numbers 2018YFC1602201, 2016YFF0203204], Science and Technology Program Foundation of Guangzhou, China [grant number 201904010077]. We thank Guangzhou Gene Denovo Biotechnology Co., Ltd., China, for technical assistance.

Disclosure statement

The authors declared that they have no conflicts of interest to this work. We declare that we do not have any commercial or associative interest that represents aconflict of interest in connection with the work submitted.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work was supported by the National Key Research and Development Program of China [2018YFC1602201, 2016YFF0203204]; Natural Science Fund of Guangdong [2021A1515011068].

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