کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8505873 | 1555617 | 2018 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A duplex PCR for the simultaneous detection of Fasciola hepatica and Clonorchis sinensis
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم دامی و جانورشناسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A duplex PCR for the simultaneous detection of Fasciola hepatica and Clonorchis sinensis A duplex PCR for the simultaneous detection of Fasciola hepatica and Clonorchis sinensis](/preview/png/8505873.png)
چکیده انگلیسی
Both Fasciola hepatica and Clonorchis sinensis are endemic in China, South Korea, Japan and other Southeast Asian countries. Reliable and sensitive diagnostic methods are needed for detecting their infections in humans and animals. Differential simplex and duplex polymerase chain reaction (PCR) methods were developed. The PCRs targeted the second internal transcribed spacer (its2) (408 bp) of F. hepatica, and NADH dehydrogenase subunit 2â¯gene (nad2) (527 bp) of C. sinensis. Both simplex PCRs detected as little as 2â¯pg genomic DNA in one microliter in a 25â¯Î¼L PCR reaction system. The duplex PCR had similar detection limit as well, and detected as low as one egg in 200â¯mg feces. These methods were analytical specific with no amplification being observed from the gemonic DNA of Fasciolopsis buski, Haemonchus contortus, Ascaris ovis or Eimeri ahsata. Of 158 sheep fecal samples collected from various farms, four and one samples were PCR-positive for F. hepatica and C. sinensis, respectively. The duplex PCR method described here is time-saving and convenient, and may prove to be an invaluable tool for molecular detection and epidemiological investigation of F. hepatica and C. sinensis in endemic area.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Veterinary Parasitology - Volume 259, 15 August 2018, Pages 1-5
Journal: Veterinary Parasitology - Volume 259, 15 August 2018, Pages 1-5
نویسندگان
Yimin Yang, Minwei Li, Chen Pan, Yi Yang, Xueqiu Chen, Chaoqun Yao, Aifang Du,