Journal
JOURNAL OF APPLIED MICROBIOLOGY
Volume 126, Issue 3, Pages 864-871Publisher
WILEY
DOI: 10.1111/jam.14171
Keywords
bacterial identification; Fourier transform infrared spectroscopy; genomic DNA; hierarchical clustering analysis; multivariate analysis
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Funding
- KRIBB Research Initiative Program [KGM 5281812]
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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.
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