کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3406918 1223610 2011 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Rapid detection of Newcastle disease virus replication in embryonated chicken eggs using quantitative real time polymerase chain reaction
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ویروس شناسی
پیش نمایش صفحه اول مقاله
Rapid detection of Newcastle disease virus replication in embryonated chicken eggs using quantitative real time polymerase chain reaction
چکیده انگلیسی

Newcastle disease virus (NDV), an avian paramyxovirus, is an economically important disease of poultry globally. Rapid methods to detect and differentiate the virus are important to curtail the spread of this virus. Nucleic acid based detection methods are routinely employed for diagnosis that suffer from the disadvantage of failure to discriminate viable virus and non-infectious genome. However, virus isolation remains the gold standard for diagnosis of field outbreaks. The sensitivity of virus isolation was combined with nucleic acid based detection methods so that the time taken for confirmatory diagnosis could be considerably reduced while increasing sensitivity. Quantitative real time reverse transcription polymerase chain reaction (qRT-PCR) and conventional RT-PCR techniques were compared for the detection of NDV genome replication in 9–11-day-old embryonated chicken eggs (ECE) using the nucleoprotein (NP) gene of the virus as a target. The results suggest that at least two to fourfold increase in cycle threshold (Ct) values over the baseline Ct value of samples lacking infectious virus, would indicate live NDV replication. The limit of detection of NDV replication using qRT-PCR was 1 × 104.0 mean embryo infective doses (EID50). The earliest time point when live virus replication was detectable by qRT-PCR or RT-PCR was 30 h post-inoculation in ECE.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Virological Methods - Volume 171, Issue 1, January 2011, Pages 98–101
نویسندگان
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