Viral population analysis of the taiga tick, Ixodes persulcatus, by using Batch Learning Self-Organizing Maps and BLAST search
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- QIU Yongjin
- Division of Collaboration and Education, Hokkaido University Research Center for Zoonosis Control, Kita 20 Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0020 Japan Hokudai Center for Zoonosis Control in Zambia, the University of Zambia, Lusaka, 10101 Zambia
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- ABE Takashi
- Graduate School of Science and Technology, Niigata University, Ikarashi 2 no-cho 8050, Nishi-ku, Niigata, Niigata 950-2181 Japan
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- NAKAO Ryo
- Unit of Risk Analysis and Management, Hokkaido University Research Center for Zoonosis Control, Kita 20 Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0020 Japan Laboratory of Parasitology, Faculty of Veterinary Medicine, Graduate School of Infectious Diseases, Hokkaido University, Kita 18 Nishi 9, Kita-ku, Sapporo, Hokkaido 060-0818 Japan
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- SATOH Kenro
- Graduate School of Science and Technology, Niigata University, Ikarashi 2 no-cho 8050, Nishi-ku, Niigata, Niigata 950-2181 Japan
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- SUGIMOTO Chihiro
- Division of Collaboration and Education, Hokkaido University Research Center for Zoonosis Control, Kita 20 Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0020 Japan Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Kita 20 Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0020 Japan
書誌事項
- タイトル別名
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- Viral population analysis of the taiga tick, <i>Ixodes persulcatus,</i> by using Batch Learning Self-Organizing Maps and BLAST search
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<p>Ticks transmit a wide range of viral, bacterial, and protozoal pathogens, which are often zoonotic. Several novel tick-borne viral pathogens have been reported during the past few years. The aim of this study was to investigate a diversity of tick viral populations, which may contain as-yet unidentified viruses, using a combination of high throughput pyrosequencing and Batch Learning Self-Organizing Map (BLSOM) program, which enables phylogenetic estimation based on the similarity of oligonucleotide frequencies. DNA/cDNA prepared from virus-enriched fractions obtained from Ixodes persulcatus ticks was pyrosequenced. After de novo assembly, contigs were cataloged by the BLSOM program. In total 41 different viral families and order including those previously associated with human and animal diseases such as Bunyavirales, Flaviviridae, and Reoviridae, were detected. Therefore, our strategy is applicable for viral population analysis of other arthropods of medical and veterinary importance, such as mosquitos and lice. The results lead to the contribution to the prediction of emerging tick-borne viral diseases. A sufficient understanding of tick viral populations will also empower to analyze and understand tick biology including vector competency and interactions with other pathogens.</p>
収録刊行物
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- Ｔｈｅ Ｊｏｕｒｎａｌ ｏｆ Ｖｅｔｅｒｉｎａｒｙ Ｍｅｄｉｃａｌ Ｓｃｉｅｎｃｅ
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Ｔｈｅ Ｊｏｕｒｎａｌ ｏｆ Ｖｅｔｅｒｉｎａｒｙ Ｍｅｄｉｃａｌ Ｓｃｉｅｎｃｅ 81 (3), 401-410, 2019
公益社団法人 日本獣医学会
