期刊
JOURNAL OF VETERINARY MEDICAL SCIENCE
卷 81, 期 3, 页码 401-410出版社
JAPAN SOC VET SCI
DOI: 10.1292/jvms.18-0483
关键词
Batch Learning Self-Organizing Map; high throughput pyrosequencing; Ixodes persulcatus; viral population analysis
资金
- Program of Funding Research Centers for Emerging and Reemerging Infectious Disease from Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT)
- Japan Society for the Promotion of Science (JSPS) [JP 16K19112]
- Hokkaido University, Program for Leading Graduate School
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.
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