کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6133617 | 1593469 | 2014 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparison of conventional RT-PCR, reverse-transcription loop-mediated isothermal amplification, and SYBR green I-based real-time RT-PCR in the rapid detection of bovine viral diarrhea virus nucleotide in contaminated commercial bovine sera batches
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
ویروس شناسی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Bovine viral diarrhea virus (BVDV) can contaminate biological products produced in bovine or porcine cells or manufactured using bovine sera. A rapid, specific, sensitive, and practical method of detecting BVDV in bio-products is needed. The purpose of this study was to compare three assays with respect to their ability to accurately detect BVDV in biological samples, namely reverse-transcription loop-mediated isothermal amplification (RT-LAMP), SYBR green I-based real-time RT-PCR, and conventional RT-PCR. All assays detected BVDV nucleotide and differentiated between BVDV-free and -contaminated bovine sera successfully. In addition, the results were specific to BVDV: the amplification of samples containing the closely related classical swine fever virus or other pathogenic bovine viruses yielded negative results. The lowest detection threshold, 101 copies, was displayed by the SYBR green I-based real-time RT-PCR and RT-LAMP assay. This assay was also the most effective in the detection of BVDV contamination in a set of commercially available bovine sera. The field conditions suggest that RT-LAMP is specific and sensitive to detecting BVDV in biological samples and may be used for quality control of biomaterials.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Virological Methods - Volume 207, October 2014, Pages 204-209
Journal: Journal of Virological Methods - Volume 207, October 2014, Pages 204-209
نویسندگان
Shu-Qin Zhang, Bin Tan, Peng Li, Feng-Xue Wang, Li Guo, Yong Yang, Na Sun, Hong-Wei Zhu, Yong-Jun Wen, Shi-Peng Cheng,