A comparison of PCR assays for beak and feather disease virus and high resolution melt (HRM) curve analysis of replicase associated protein and capsid genes
journal contribution
posted on 2022-06-14, 04:02authored byS Das, Subir SarkerSubir Sarker, SA Ghorashi, JK Forwood, SR Raidal
Beak and feather disease virus (BFDV) threatens a wide range of endangered psittacine birds worldwide. In this study, we assessed a novel PCR assay and genetic screening method using high-resolution melt (HRM) curve analysis for BFDV targeting the capsid (Cap) gene (HRM-Cap) alongside conventional PCR detection as well as a PCR method that targets a much smaller fragment of the virus genome in the replicase initiator protein (Rep) gene (HRM-Rep). Limits of detection, sensitivity, specificity and discriminatory power for differentiating BFDV sequences were compared. HRM-Cap had a high positive predictive value and could readily differentiate between a reference genotype and 17 other diverse BFDV genomes with more discriminatory power (genotype confidence percentage) than HRM-Rep. Melt curve profiles generated by HRM-Cap correlated with unique DNA sequence profiles for each individual test genome. The limit of detection of HRM-Cap was lower (2 × 10−5 ng/reaction or 48 viral copies) than that for both HRM-Rep and conventional BFDV PCR which had similar sensitivity (2 × 10−6 ng or 13 viral copies/reaction). However, when used in a diagnostic setting with 348 clinical samples there was strong agreement between HRM-Cap and conventional PCR (kappa = 0.87, P < 0.01, 98% specificity) and HRM-Cap demonstrated higher specificity (99.9%) than HRM-Rep (80.3%).
Funding
We gratefully acknowledge Michelle Ayton and other Veterinary Diagnostic Laboratory microbiologists for preserving original viral samples and extracted DNA. The authors would like to thank Drs Alex Rosenwax, Pam Whitely, James Harris, Stacey Gelis and Sandy Hume for sending us samples. This research was funded by grants from the Australian Research Council's Discovery Projects funding scheme (Grant number: DP1095408), and a Charles Sturt University Postgraduate Research Scholarship (CSUPRS).