J Lee1, M S Ahn1, Y-L Lee1, E Y Jie1, S-G Kim1, S W Kim1. 1. Biological Resource Center, Korea Research Institute of Bioscience and Biotechnology, Jeongeup, The Republic of Korea.
Abstract
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.
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.