Project description:Background: Treponema denticola is strongly associated with the development of periodontal disease. Both synergistic and antagonistic effects are observed among bacterial species in the process of biofilm formation. Bacteriocin-related genes have not yet been fully characterized in periodontopathic bacteria. The aim of this study was to detect and characterize bacteriocin-associated proteins in T. denticola. Methods: The whole genome sequence of T. denticola ATCC 35405 was screened with a Streptococcus mutans bacteriocin immunity protein (ImmA/Bip) sequence. The prevalence of homologous genes in T. denticola strains was then investigated by Southern blotting. Expression of the genes was evaluated by qRT-PCR. Results: In the genome sequence of T. denticola, an amino acid sequence coded by open reading frame TDE_0719 showed 26% identity with the S. mutans ImmA. Furthermore, two protein sequences coded by TDE_0425 and TDE_2431 in T. denticola ATCC 35405 showed ~40% identity with that coded by TDE0719. Therefore, TDE_0425, TDE_0719, and TDE_2431 were designated as tepA1, A2, and A3, respectively. Open reading frames showing similarity to the HlyD family of secretion proteins were detected downstream of tepA1, A2, and A3. They were designated as tepB1, B2, and B3, respectively. A gene harboring a bacteriocin-like signal sequence was detected upstream of tepA1. The prevalence of tepA1 and A2 differed among Treponema species. Susceptibility to chloramphenicol and ofloxiacin was slightly decreased in a tepA2 mutant while that to kanamycin was increased. Expression of tepA3-B3 was increased in the tepA2 mutant. Conclusion: These results indicate that T. denticola ATCC 35405 has three potential bacteriocin export proteins and that the presence of these genes differs among the Treponema strains. These proteins may be involved in resistance to chloramphenicol.
Project description:Detection of species-specific proteotypic peptides for accurate and easy characterization of infectious non-tuberculous mycobacteria such as Mycobacterium avium subsp. paratuberculosis is essential. Therefore, we conducted an in-depth global proteomic experiment using M. avium subsp. paratuberculosis ATCC 19698 (Map) strain followed by proteome database search and spectral library generation. The lysate was subjected to in-solution proteomic sample preparation and fractionated using an offline C18 StageTip. Each fraction was acquired in technical triplicates using a 180 min data-dependent acquisition (DDA) method in Orbitrap Fusion Tribrid (Thermo Scientific) mass spectrometer. The resulting raw DDA data were searched against the M. avium subsp. paratuberculosis proteome database using Proteome Discoverer and FragPipe. The resulting peptide spectrum matches were converted into a spectral library using BiblioSpec.