AIMS Microbiology, 2019, 5(3): 205-222. doi: 10.3934/microbiol.2019.3.205

Research article

Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

Comparative genome analysis of 15 clinical Shigella flexneri strains regarding virulence and antibiotic resistance

1 Department of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou 221000, Jiangsu China
2 Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou 221000, Jiangsu China
3 Department of Genetics, School of Life Sciences, Xuzhou Medical University, Xuzhou, Jiangsu, China
4 Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
5 Medical Technology School of Xuzhou Medical University, Xuzhou 221004, China
6 Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221006, China

† These two authors contributed equally.

Shigellosis is the major cause of dysentery globally. It is mainly attributed to two Shigella species, Shigella sonnei and Shigella flexneri, which leads to approximately 165 million infections and 1.1 million deaths each year. Rapid increase and widening of spectrum in antibiotics resistance make Shigella hard to be adequately controlled through existing prevention and treatment measures. It has also been observed that enhanced virulence and advent of antibiotic resistance (AR) could arise almost simultaneously. However, genetic linkages between the two factors are missing or largely ignored, which hinders experimental verification of the relationship. In this study, we sequenced 15 clinically isolated S. flexneri strains. Genome assembly, annotation and comparison were performed through routine pipelines. Differential resistant profiles of all 15 S. flexneri strains to nine antibiotics were experimentally verified. Virulence factors (VFs) belonging to 4 categories and 31 functional groups from the Virulence Factor Database (VFDB) were used to screen all Shigella translated CDSs. Distribution patterns of virulence factors were analysed by correlating with the profiles of bacterial antibiotics resistance. In addition, multi-resistant S. flexneri strains were compared with antibiotic-sensitive strains by focusing on the abundance or scarcity of specific groups of VFs. By doing these, a clear view of the relationships between virulence factors and antibiotics resistance in Shigella could be achieved, which not only provides a set of genetic evidence to support the interactions between VFs and AR but could also be used as a guidance for further verification of the relationships through manipulating specific groups of virulence factors.
  Figure/Table
  Supplementary
  Article Metrics
Download full text in PDF

Export Citation

Article outline

Copyright © AIMS Press All Rights Reserved