Development and application of a TaqMan-based real-time PCR assay for specifically detecting feline astrovirus

Mol Cell Probes. 2021 Jun:57:101729. doi: 10.1016/j.mcp.2021.101729. Epub 2021 Apr 6.

Abstract

Feline astrovirus (FeAstV), an enteric RNA virus of recent concern that is associated with diarrheal illness in cats, has been described in several countries throughout the world. However, no scientific and sensitive diagnostic method against FeAstV was reported up to now. Here, we developed a specific, sensitive and repeatable TaqMan fluorescence quantitative PCR (qPCR) assay to investigate the prevalence of FeAstV in domestic cats from China, especially low copy numbers in clinical sample. Specific assay showed that no cross-reactivity was observed with other non-FeAstV cat-derivied pathogens, suggesting this method was highly specific for FeAstV. The lowest detection limit of this assay was 3.52 copies/μl, and 1000-times more sensitive than conventional PCR. Intra- and inter-assay variability was less than 1.72%, means a high degree of repeatability. A total of 578 clinical fecal samples were collected from northeast China, and were tested for FeAstV using our developed qPCR assay. 105 samples were positive for FeAstV with an overall prevalence of 18.17%. Moreover, a higher positive rate was found in cats with diarrhea (32.26%, 80/248) than that in asymptomatic cats (7.58%, 25/330), further demonstrating that FeAstV infection was associated with diarrhea in cats. In brief, our developed assay showed high specificity, sensitivity, reproducibility for detecting FeAstV, and can be used for clinical diagnosis and epidemiological investigation of FeAstV.

Keywords: Development; Feline astrovirus; Investigation; TaqMan realtime PCR.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Astroviridae Infections* / diagnosis
  • Astroviridae Infections* / veterinary
  • Cats
  • Diarrhea / veterinary
  • Feces
  • Real-Time Polymerase Chain Reaction
  • Reproducibility of Results
  • Sensitivity and Specificity