• Title of article

    Rapid identification and classification of Mycobacterium spp. using whole-cell protein barcodes with matrix assisted laser desorption ionization time of flight mass spectrometry in comparison with multigene phylogenetic analysis Original Research Article

  • Author/Authors

    Jun Wang، نويسنده , , Wen-Feng Chen، نويسنده , , Qing X. Li، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2012
  • Pages
    5
  • From page
    133
  • To page
    137
  • Abstract
    The need of quick diagnostics and increasing number of bacterial species isolated necessitate development of a rapid and effective phenotypic identification method. Mass spectrometry (MS) profiling of whole cell proteins has potential to satisfy the requirements. The genus Mycobacterium contains more than 154 species that are taxonomically very close and require use of multiple genes including 16S rDNA for phylogenetic identification and classification. Six strains of five Mycobacterium species were selected as model bacteria in the present study because of their 16S rDNA similarity (98.4–99.8%) and the high similarity of the concatenated 16S rDNA, rpoB and hsp65 gene sequences (95.9–99.9%), requiring high identification resolution. The classification of the six strains by MALDI TOF MS protein barcodes was consistent with, but at much higher resolution than, that of the multi-locus sequence analysis of using 16S rDNA, rpoB and hsp65. The species were well differentiated using MALDI TOF MS and MALDI BioTyper™ software after quick preparation of whole-cell proteins. Several proteins were selected as diagnostic markers for species confirmation. An integration of MALDI TOF MS, MALDI BioTyper™ software and diagnostic protein fragments provides a robust phenotypic approach for bacterial identification and classification.
  • Keywords
    Matrix assisted laser desorption ionization time of flight , Mycobacterium , Bacterial identification , Bacterial classification , Bacterial barcode , Whole-cell protein barcode
  • Journal title
    Analytica Chimica Acta
  • Serial Year
    2012
  • Journal title
    Analytica Chimica Acta
  • Record number

    1028141