The population structure of clinical extra-intestinal Escherichia coli in a teaching hospital from Nigeria

Diagn Microbiol Infect Dis. 2018 Sep;92(1):46-49. doi: 10.1016/j.diagmicrobio.2018.04.001. Epub 2018 Apr 14.

Abstract

Limited information is available regarding the population structure of extra-intestinal pathogenic Escherichia coli (ExPEC) in Africa. Antimicrobial resistance profiles, sequence types (STs) and fimH types were determined on 60 clinical ExPEC from Nigeria using a 7-single nucleotide polymorphism quantitative PCR and sequencing of certain genes. Different ST131 clades were identified with a multiplex PCR. The isolates were mostly obtained from urines (58.3%). Not-susceptibility rates were as follows: trimethoprim-sulfamethoxazole (98%), cefotaxime (68%), gentamicin (55%), ciprofloxacin (62%) and piperacillin-tazobactam (2%). Dominant STs were associated with CTX-M-15 and included ST131-fimH30 (23%), ST457-fimH145 (20%), ST405-fimH27 (13%) and ST95-fimH41 (10%). We found the 7-SNP qPCR to be simple and cost-effective that can be utilized to tract different ExPEC clones on a global scale. This study provided insight into the population structure of ExPEC from Nigeria showing high prevalence of the rarely reported ST457 and the presence of multidrug resistant ST95.

Keywords: ExPEC; Molecular typing; Nigeria; Population structure.

MeSH terms

  • Anti-Bacterial Agents / therapeutic use
  • Drug Resistance, Multiple, Bacterial / genetics
  • Escherichia coli / genetics
  • Escherichia coli / isolation & purification*
  • Escherichia coli Infections / drug therapy
  • Escherichia coli Infections / microbiology*
  • Genotype
  • Hospitals, Teaching / methods
  • Humans
  • Intestines / microbiology*
  • Microbial Sensitivity Tests / methods
  • Molecular Epidemiology / methods
  • Multilocus Sequence Typing / methods
  • Nigeria
  • Polymorphism, Single Nucleotide / genetics
  • Sequence Analysis, DNA / methods
  • Virulence Factors / genetics

Substances

  • Anti-Bacterial Agents
  • Virulence Factors