DNA barcodes identify medically important tick species in Canada
| Autor: | Robert Hanner, Danielle A. Ondrejicka, Kevin C. Morey |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
0301 basic medicine Canada Base pair Biology Tick 010603 evolutionary biology 01 natural sciences DNA barcoding Electron Transport Complex IV 03 medical and health sciences Ticks Genetics Animals DNA Barcoding Taxonomic Humans Acari Molecular Biology Phylogeny Sequence (medicine) Geography Ixodes Biodiversity Sequence Analysis DNA General Medicine biology.organism_classification Genes Mitochondrial 030104 developmental biology Dna barcodes Evolutionary biology Borrelia burgdorferi Ixodidae Biotechnology |
| Zdroj: | Genome. 60:74-84 |
| ISSN: | 1480-3321 0831-2796 |
| DOI: | 10.1139/gen-2015-0179 |
| Popis: | Medically important ticks (Acari: Ixodidae) are often difficult to identify morphologically. A standardized, molecular approach using a 658 base pair DNA barcode sequence (from the 5′ region of the mitochondrial cytochrome c oxidase subunit I gene) was evaluated for its effectiveness in discriminating ticks in North America, with an emphasis on Canadian ticks. DNA barcodes were generated for 96 of 154 specimens representing 26 ixodid species. A genetic cluster analysis was performed on the barcode sequences, which separated specimens into haplogroups closely corresponding with morphologically identified species. The tree topology was further supported by a BIN analysis. COI sequences generated were found to have a mean maximum intraspecific divergence of 1.59% and a mean nearest neighbour divergence of 12.8%, indicating a significant “barcode gap”. This study also revealed possible cryptic diversity among specimens morphologically identified as Ixodes soricis and Ixodes texanus. A PCR-based test for Borrelia burgdorferi determined that 18.1% of Lyme-competent ticks in this study were positive. This study is also the first to record a B. burgdorferi-positive exoskeleton. In conclusion, DNA barcoding is a powerful tool that clinicians can use to determine the identification of tick specimens which can help them to suggest whether an attached tick is a potential health risk. |
| Databáze: | OpenAIRE |
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