Aims: We developed a new rapid and reliable method for identifying bacteria using a combination of Fourier transform infrared (FT-IR) spectroscopy of bacterial genomic DNA and multivariate analysis.
Methods and results: FT-IR spectra of genomic DNA from four type strains of Pseudomonas spp., three type strains of Escherichia spp. and two type strains of Bacillus spp. were analysed in the 4000-400 cm-1 region. Spectral differences were found in the frequency regions of N-H stretching (amide I), C=O stretching vibrations (amide II) and PO2 - ionized asymmetric and symmetric stretching. Partial least squares discriminant analysis of the FT-IR spectra showed that the microbial strains could be discriminated by hierarchical clustering analysis.
Conclusions: FT-IR spectral analysis of bacterial genomic DNA has potential for the rapid identification of bacteria at the genus and species levels.
Significance and impact of the study: This study reports a new bacterial identification method using multivariate analysis of FT-IR spectra of bacterial genomic DNA.
Keywords: Fourier transform infrared spectroscopy; bacterial identification; genomic DNA; hierarchical clustering analysis; multivariate analysis.
© 2018 The Society for Applied Microbiology.