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A novel approach, based on BLSOMs (Batch Learning Self-Organizing Maps), to the microbiome analysis of ticks
Title: | A novel approach, based on BLSOMs (Batch Learning Self-Organizing Maps), to the microbiome analysis of ticks |
Authors: | Nakao, Ryo Browse this author →KAKEN DB | Abe, Takashi Browse this author | Nijhof, Ard M Browse this author | Yamamoto, Seigo Browse this author | Jongejan, Frans Browse this author | Ikemura, Toshimichi Browse this author | Sugimoto, Chihiro Browse this author →KAKEN DB |
Keywords: | BLSOMs | emerging diseases | metagenomics | microbiomes | symbionts | ticks |
Issue Date: | Mar-2013 |
Publisher: | Nature Publishing Group |
Journal Title: | The ISME Journal |
Volume: | 7 |
Issue: | 5 |
Start Page: | 1003 |
End Page: | 1015 |
Publisher DOI: | 10.1038/ismej.2012.171 |
PMID: | 23303373 |
Abstract: | Ticks transmit a variety of viral, bacterial and protozoal pathogens, which are often zoonotic. The aim of this study was to identify diverse tick microbiomes, which may contain as-yet unidentified pathogens, using a metagenomic approach. DNA prepared from bacteria/archaea-enriched fractions obtained from seven tick species, namely Amblyomma testudinarium, Amblyomma variegatum, Haemaphysalis formosensis, Haemaphysalis longicornis, Ixodes ovatus, Ixodes persulcatus and Ixodes ricinus, was subjected to pyrosequencing after whole-genome amplification. The resulting sequence reads were phylotyped using a Batch Learning Self-Organizing Map (BLSOM) program, which allowed phylogenetic estimation based on similarity of oligonucleotide frequencies, and functional annotation by BLASTX similarity searches. In addition to bacteria previously associated with human/animal diseases, such as Anaplasma, Bartonella, Borrelia, Ehrlichia, Francisella and Rickettsia, BLSOM analysis detected microorganisms belonging to the phylum Chlamydiae in some tick species. This was confirmed by pan-Chlamydia PCR and sequencing analysis. Gene sequences associated with bacterial pathogenesis were also identified, some of which were suspected to originate from horizontal gene transfer. These efforts to construct a database of tick microbes may lead to the ability to predict emerging tick-borne diseases. Furthermore, a comprehensive understanding of tick microbiomes will be useful for understanding tick biology, including vector competency and interactions with pathogens and symbionts. |
Type: | article (author version) |
URI: | http://hdl.handle.net/2115/53167 |
Appears in Collections: | 人獣共通感染症国際共同研究所 (International Institute for Zoonosis Control) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 中尾 亮
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