Development of a Sensitive Real-Time Fast-qPCR Based on SYBR® Green for Detection and Quantification of Chicken Parvovirus (ChPV).
Luis Fabian N NuñezSilvana H Santander-ParraLucas ChaibleMarcos R BuimAlexandre MurakamiMaria Lucia Zaidan DagliClaudete S Astolfi-FerreiraAntônio José Piantino FerreiraPublished in: Veterinary sciences (2018)
Many viruses have been associated with runting and stunting syndrome (RSS). These viral infections mainly affect young chickens, causing apathy, depression, ruffled feathers, cloacal pasting, and diarrhea. Chicken Parvovirus (ChPV) is such an infection and has been detected in chickens showing signs of enteric diseases worldwide. Therefore, the present study aims to develop a sensitive real-time fast-qPCR assay based on SYBR® Green for detection and quantification of ChPV. A 561-bp non-structural (NS) gene was amplified and cloned, and a pair of primers was designed based on conserved nucleotide sequences on the NS gene of ChPV, the intercalating DNA reagent SYBR® Green was employed, and the Fast mode of a thermocycler was used. The assay detects 10⁸ to 10¹ copies of the genome (CG). The limit of detection (LoD) was estimated to five CG, and the limit of quantification (LoQ) was estimated at ten CG. The standard curve efficiency was 101.94%, and the melting curve showed a unique clean peak and a melting temperature of 79.3 °C. The assay was specific to amplify the ChPV NS gene, and no amplification was shown from other viral genomes or in the negative controls. A total of 141 samples were tested using the assay, of which 139 samples were found positive. The highest CG value of ChPV was 5.7 × 10⁶ CG/uL of DNA without apparent clinical signs of enteric disturbance, and 4.6 × 10⁶ CG/uL DNA were detected in chickens with RSS.
Keyphrases
- high throughput
- circulating tumor
- genome wide
- loop mediated isothermal amplification
- copy number
- real time pcr
- label free
- cell free
- single molecule
- high resolution
- heat stress
- nucleic acid
- dengue virus
- sars cov
- genome wide identification
- dna methylation
- depressive symptoms
- gene expression
- transcription factor
- mass spectrometry
- single cell
- case report
- genetic diversity
- diffusion weighted imaging
- contrast enhanced