Dataset Information

Genetic profiles of Propionibacterium acnes and identification of a unique transposon with novel insertion sequences in sarcoid and non-sarcoid isolates.

ABSTRACT: Propionibacterium acnes is one of the most commonly implicated etiologic agents of sarcoidosis. We previously reported a complete genome sequence of the C1 strain of P. acnes as a clinical isolate from subcutaneous granulomatous inflammatory lesions in a patient with sarcoidosis. In the present study, we initially searched for genetic profiles specific to the C1 strain by core genome analysis and multiple genome alignment with database sequences from 76 and 9 P. acnes strains, respectively. The analysis revealed that the C1 strain was phylogenetically independent and carried an 18.8-kbp transposon sequence unique to the sarcoid isolate. The unique composite transposon comprised a novel insertion sequence and extrinsic genes from bacteria other than P. acnes. Multilocus sequence typing using 24 sarcoid and 36 non-sarcoid isolates revealed a total of 28 sequence types (STs), including ST26, which was most frequently found without specificity for sarcoid isolates. All 13 ST26 isolates exhibited cell-invasiveness and were confirmed to carry the novel insertion sequence and 4 of the 27 extrinsic CDSs in the transposon, with one exception. ST26 of P. acnes with the composite transposon is the most unique strain detected to date and should be further examined as a causative strain of sarcoidosis.

SUBMITTER: Minegishi K

PROVIDER: S-EPMC4428272 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Genetic profiles of Propionibacterium acnes and identification of a unique transposon with novel insertion sequences in sarcoid and non-sarcoid isolates.

Minegishi Kana K Watanabe Takayasu T Furukawa Asuka A Uchida Keisuke K Suzuki Yoshimi Y Akashi Takumi T Maruyama Fumito F Nakagawa Ichiro I Eishi Yoshinobu Y

Scientific reports 20150512

Propionibacterium acnes is one of the most commonly implicated etiologic agents of sarcoidosis. We previously reported a complete genome sequence of the C1 strain of P. acnes as a clinical isolate from subcutaneous granulomatous inflammatory lesions in a patient with sarcoidosis. In the present study, we initially searched for genetic profiles specific to the C1 strain by core genome analysis and multiple genome alignment with database sequences from 76 and 9 P. acnes strains, respectively. The ...[more]

PMID: 25966054

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Project description:BackgroundThe anaerobic Gram-positive bacterium Propionibacterium acnes is a human skin commensal that resides preferentially within sebaceous follicles; however, it also exhibits many traits of an opportunistic pathogen, playing roles in a variety of inflammatory diseases such as acne vulgaris. To date, the underlying disease-causing mechanisms remain ill-defined and knowledge of P. acnes virulence factors remains scarce. Here, we identified proteins secreted during anaerobic cultivation of a range of skin and clinical P. acnes isolates, spanning the four known phylogenetic groups.ResultsCulture supernatant proteins of P. acnes were separated by two-dimensional electrophoresis (2-DE) and all Coomassie-stained spots were subsequently identified by MALDI mass spectrometry (MALDI-MS). A set of 20 proteins was secreted in the mid-exponential growth phase by the majority of strains tested. Functional annotation revealed that many of these common proteins possess degrading activities, including glycoside hydrolases with similarities to endoglycoceramidase, β-N-acetylglucosaminidase and muramidase; esterases such as lysophospholipase and triacylglycerol lipase; and several proteases. Other secreted factors included Christie-Atkins-Munch-Petersen (CAMP) factors, glyceraldehyde 3-phosphate dehydrogenase (GAPDH), and several hypothetical proteins, a few of which are unique to P. acnes. Strain-specific differences were apparent, mostly in the secretion of putative adhesins, whose genes exhibit variable phase variation-like sequence signatures.ConclusionsOur proteomic investigations have revealed that the P. acnes secretome harbors several proteins likely to play a role in host-tissue degradation and inflammation. Despite a large overlap between the secretomes of all four P. acnes phylotypes, distinct differences between predicted host-tissue interacting proteins were identified, providing potential insight into the differential virulence properties of P. acnes isolates. Thus, our data presents a rich resource for guiding much-needed investigations on P. acnes virulence factors and host interacting properties.

Project description:The human skin surface harbors huge numbers of microbes. The skin microbiota interacts with its host and forms a skin microbiome profile that is specific for each individual. It has been reported that the skin microbiota that is left on an individual's possessions can act as a sort of "fingerprint" and be used for owner identification. However, this approach needs to be improved to take into account any long-term instability of skin microbiota and contamination from nonspecific bacteria. Here, we took advantage of single-nucleotide polymorphisms (SNPs) in the 16S-encoding rRNA gene of Cutibacterium acnes, the most common and abundant bacterium on human skin, to perform owner identification. We first developed a high-throughput genotyping method based on next-generation sequencing to characterize the SNPs of the C. acnes 16S rRNA gene and found that the genotype composition of C. acnes 16S rRNA is individual specific. Owner identification accuracy of around 90% based on random forest machine learning was achieved by using a combination of C. acnes 16S rRNA genotype and skin microbiome profile data. Furthermore, our study showed that the C. acnes 16S rRNA genotype remained more stable over time than the skin microbiome profile. This characteristic of C. acnes was further confirmed by the analysis of publicly available human skin metagenome data. Our approach, with its high precision, good reproducibility, and low costs, thus provides new possibilities in the field of microbiome-based owner identification and forensics in general.IMPORTANCECutibacterium acnes is the most common and abundant bacterial species on human skin, and the gene that encodes its 16S rRNA has multiple single-nucleotide polymorphisms. In this study, we developed a method to efficiently determine the C. acnes 16S rRNA genotype composition from microbial samples taken from the hands of participants and from their possessions. Using the C. acnes 16S rRNA genotype composition, we could predict the owner of a possession with around 90% accuracy when the 16S rRNA gene-based microbiome profile was included. We also showed that the C. acnes 16S rRNA genotype composition was more stable over time than the skin microbiome profile and thus is more suitable for owner identification.

Dataset Information

Genetic profiles of Propionibacterium acnes and identification of a unique transposon with novel insertion sequences in sarcoid and non-sarcoid isolates.

Publications

Genetic profiles of Propionibacterium acnes and identification of a unique transposon with novel insertion sequences in sarcoid and non-sarcoid isolates.

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