Discrimination of the Acinetobacter calcoaceticus-Acinetobacter baumannii complex species by Fourier transform infrared spectroscopy

Eur J Clin Microbiol Infect Dis. 2014 Aug;33(8):1345-53. doi: 10.1007/s10096-014-2078-y. Epub 2014 Feb 22.

Abstract

The main goal of this work was to assess the ability of Fourier transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR) to discriminate between the species of the Acinetobacter calcoaceticus-Acinetobacter baumannii (Acb) complex, i.e. A. baumannii, A. nosocomialis, A. pittii, A. calcoaceticus, genomic species "Between 1 and 3" and genomic species "Close to 13TU". A total of 122 clinical isolates of the Acb complex previously identified by rpoB sequencing were studied. FTIR-ATR spectra was analysed by partial least squares discriminant analysis (PLSDA) and the model scores were presented in a dendrogram form. This spectroscopic technique proved to be effective in the discrimination of the Acb complex species, with sensitivities from 90 to 100%. Moreover, a flowchart aiming to help with species identification was developed and tested with 100% correct predictions for A. baumannii, A. nosocomialis and A. pittii test isolates. This rapid, low cost and environmentally friendly technique proved to be a reliable alternative for the identification of these closely related Acinetobacter species that share many clinical and epidemiological characteristics and are often difficult to distinguish. Its validation towards application on a routine basis could revolutionise high-throughput bacterial identification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acinetobacter Infections / diagnosis*
  • Acinetobacter Infections / microbiology
  • Acinetobacter baumannii / chemistry*
  • Acinetobacter baumannii / isolation & purification
  • Acinetobacter calcoaceticus / chemistry*
  • Acinetobacter calcoaceticus / isolation & purification
  • Diagnosis, Differential
  • Discriminant Analysis
  • Humans
  • Least-Squares Analysis
  • Sensitivity and Specificity
  • Spectroscopy, Fourier Transform Infrared