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Real time quantitative PCR (qPCR) is one of the key technologies of the post-genome era, with clear advantages compared to normal end-point PCR. In this paper, we report the first qPCR-based assay for the identification of Fasciola spp. Based on sequences of the second internal transcribed spacers (ITS-2) of the ribosomal rRNA gene, we used a set of genus-specific primers for Fasciola ITS-2 amplification, and we designed species-specific internal TaqMan probes to identify F. hepatica and F. gigantica, as well as the hybrid 'intermediate'Fasciola. These primers and probes were used for the highly specific, sensitive, and simple identification of Fasciola species collected from different animal host from China, Spain, Niger and Egypt. The novel qPCR-based technique for the identification of Fasciola spp. may provide a useful tool for the epidemiological investigation of Fasciola infection, including their intermediate snail hosts.
The ‘intermediate’ Fasciola, Fasciola gigantica, Fasciola hepatica, DNA, Helminth, Polymerase Chain Reaction, Sensitivity and Specificity, Fasciola, Parasite identification, DNA, Ribosomal Spacer, Parasite identification, Animals, Real time qPCRTaqMan probe
The ‘intermediate’ Fasciola, Fasciola gigantica, Fasciola hepatica, DNA, Helminth, Polymerase Chain Reaction, Sensitivity and Specificity, Fasciola, Parasite identification, DNA, Ribosomal Spacer, Parasite identification, Animals, Real time qPCRTaqMan probe
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 43 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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