Cutibacterium acnes (Propionibacterium acnes) 16S rRNA Genotyping of Microbial Samples from Possessions Contributes to Owner Identification
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- Jiayue Yang
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
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- Tomoya Tsukimi
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
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- Mia Yoshikawa
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
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- Kenta Suzuki
- RIKEN BioResource Research Center, Tsukuba, Ibaraki, Japan
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- Tomoki Takeda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
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- Masaru Tomita
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
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- Shinji Fukuda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
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- Jack A. Gilbert
- editor
説明
<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>
収録刊行物
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- mSystems
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mSystems 4 (6), 1-, 2019-12-17
American Society for Microbiology
