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タイトル: Distinct interacting core taxa in co-occurrence networks enable discrimination of polymicrobial oral diseases with similar symptoms
著者: Shiba, Takahiko
Watanabe, Takayasu
Kachi, Hirokazu
Koyanagi, Tatsuro
Maruyama, Noriko
Murase, Kazunori  kyouindb  KAKEN_id
Takeuchi, Yasuo
Maruyama, Fumito  KAKEN_id  orcid https://orcid.org/0000-0003-2347-616X (unconfirmed)
Izumi, Yuichi
Nakagawa, Ichiro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-6552-1702 (unconfirmed)
著者名の別形: 丸山, 史人
発行日: 8-Aug-2016
出版者: Springer Nature
誌名: Scientific reports
巻: 6
論文番号: 30997
抄録: Polymicrobial diseases, which can be life threatening, are caused by the presence and interactions of multiple microbes. Peri-implantitis and periodontitis are representative polymicrobial diseases that show similar clinical symptoms. To establish a means of differentiating between them, we compared microbial species and functional genes in situ by performing metatranscriptomic analyses of peri-implantitis and periodontitis samples obtained from the same subjects (n = 12 each). Although the two diseases differed in terms of 16S rRNA-based taxonomic profiles, they showed similarities with respect to functional genes and taxonomic and virulence factor mRNA profiles. The latter—defined as microbial virulence types—differed from those of healthy periodontal sites. We also showed that networks based on co-occurrence relationships of taxonomic mRNA abundance (co-occurrence networks) were dissimilar between the two diseases. Remarkably, these networks consisted mainly of taxa with a high relative mRNA-to-rRNA ratio, with some showing significant co-occurrence defined as interacting core taxa, highlighting differences between the two groups. Thus, peri-implantitis and periodontitis have shared as well as distinct microbiological characteristics. Our findings provide insight into microbial interactions in polymicrobial diseases with unknown etiologies.
著作権等: © The Author(s) 2016. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
URI: http://hdl.handle.net/2433/216546
DOI(出版社版): 10.1038/srep30997
PubMed ID: 27499042
出現コレクション:学術雑誌掲載論文等

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