| Literature DB >> 35640022 |
Guang Xu1, Fumiko Ribbe2, Joseph McCaffery2, Chu-Yuan Luo2, Andrew Y Li3, Stephen M Rich2.
Abstract
Haemaphysalis longicornis Neumann, a vector of various pathogens with medical and veterinary importance, is a recent invasive species in the United States. Like many tick species, discerning H. longicornis from congeners can be a challenge. To overcome the difficulty of morphological identification, a Taqman quantitative real-time PCR based on the internal transcribed spacer gene (ITS2) was developed for quick and accurate identification of H. longicornis with a detection limit of as low as 19.8 copies. We also applied the assay to 76,004 archived ticks and found 37 ticks were H. longicornis. One H. longicornis was submitted from Warren, Somerset County, New Jersey in June 2015, 2 yr earlier than the initial report from the United States. None of these 37 H. longicornis was positive for Anaplasma phagocytophilum, Borrelia burgdorferi sensu lato, B. miyamotoi, B. mayonii, Babesia microti, or Ehrlichia muris-like agent.Entities:
Keywords: zzm321990 Haemaphysalis longicorniszzm321990 ; Asian longhorned tick; pathogen; real-time PCR
Mesh:
Year: 2022 PMID: 35640022 PMCID: PMC9278840 DOI: 10.1093/jme/tjac074
Source DB: PubMed Journal: J Med Entomol ISSN: 0022-2585 Impact factor: 2.435
Primers and probe used in the Taqman real-time PCR assay developed for the identification of Haemaphysalis longicornis
| Target gene | Type | Sequences (5ʹ-3ʹ) | Concentration (nM) | Reference |
|---|---|---|---|---|
| 16S | Forward | TGCTGTAGTATTTTGACTATACAAAGG | 400 |
|
| Reverse | ATCCTAATCCAACATCGAGGTC | 400 | ||
| ITS2 | Forward | TCTTTTGGGATGGATGCTGTGATG | 100 | This study |
| Reverse | CGGATGCGACAACTCTCGTTG | 400 | ||
| Probe | CTTTCCCGCTGAGCCCGCACTTGTAAG | 200 | ||
| Standard Curve |
|
Fig. 1.The amplification and standard curve of Haemaphysalis longicornis Taqman real-time PCR assay. Amplification of the tenfold dilution of ITS2 gBlock ranging from 1.984e+7 to 1.984e+1 copies. Standard curve: Y = −3.559*LOG(X)+17.349, Eff. = 91.0%, RSq = 99.9%.