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| Content Provider | Springer Nature Link |
|---|---|
| Author | Rostami, Sima Talebi, Saeed Babaei, Zahra Sharbatkhori, Mitra Ziaali, Naser Rostami, Habib Harandi, Majid Fasihi |
| Copyright Year | 2013 |
| Abstract | Reliable and rapid genotyping of large number of Echinococcus granulosus sensu lato isolates is crucial for understanding the epidemiology and transmission of cystic echinococcosis. We have developed a method for distinguishing and discriminating common genotypes of E. granulosus s.l. (G1, G3, and G6) in Iran. This method is based on polymerase chain reaction coupled with high resolution melting curve (HRM), ramping from 70 to 86 °C with fluorescence data acquisition set at 0.1 °C increments and continuous fluorescence monitoring. Consistency of this technique was assessed by inter- and intra-assays. Assessment of intra- and inter-assay variability showed low and acceptable coefficient of variations ranging from 0.09 to 0.17 %. Two hundred and eighty E. granulosus s.l. isolates from sheep, cattle, and camel were used to evaluate the applicability and accuracy of the method. The isolates were categorized as G1 (93, 94, and 25 %), G3 (7, 4, and 4 %), and G6 (0, 2, and 71 %) for sheep, cattle, and camel, respectively. HRM results were completely compatible with those obtained from sequencing and rostellar hook measurement. This method proved to be a valuable screening tool for large-scale molecular epidemiological studies. |
| Starting Page | 3441 |
| Ending Page | 3447 |
| Page Count | 7 |
| File Format | |
| ISSN | 09320113 |
| Journal | Parasitology Research |
| Volume Number | 112 |
| Issue Number | 10 |
| e-ISSN | 14321955 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2013-07-07 |
| Publisher Place | Berlin/Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Medical Microbiology Microbiology Immunology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Infectious Diseases Veterinary Parasitology Insect Science |
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