Cutibacterium acnes (Propionibacterium acnes) 16S rRNA Genotyping of Microbial Samples from Possessions Contributes to Owner Identification
-
- Jiayue Yang
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
-
- Tomoya Tsukimi
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
-
- Mia Yoshikawa
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
-
- Kenta Suzuki
- RIKEN BioResource Research Center, Tsukuba, Ibaraki, Japan
-
- Tomoki Takeda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
-
- Masaru Tomita
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
-
- Shinji Fukuda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
-
- Jack A. Gilbert
- editor
Description
<jats:p> <jats:named-content content-type="genus-species">Cutibacterium acnes</jats:named-content> 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 <jats:named-content content-type="genus-species">C. acnes</jats:named-content> 16S rRNA genotype composition from microbial samples taken from the hands of participants and from their possessions. Using the <jats:named-content content-type="genus-species">C. acnes</jats:named-content> 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 <jats:named-content content-type="genus-species">C. acnes</jats:named-content> 16S rRNA genotype composition was more stable over time than the skin microbiome profile and thus is more suitable for owner identification. </jats:p>
Journal
-
- mSystems
-
mSystems 4 (6), 1-, 2019-12-17
American Society for Microbiology
