Application of real-time PCR to detect Aleutian Mink Disease Virus on environmental farm sources

Alberto Prieto1, José Manuel Díaz-Cao1, Ricardo Fernández-Antonio2

  • 1Department of Animal Pathology (INVESAGA Group), Faculty of Veterinary Sciences, University of Santiago de Compostela, 27002 Lugo, Spain.

Veterinary Microbiology
|September 4, 2014
PubMed

Insights

Aleutian Mink Virus (AMDV) environmental contamination was detected on mink farms using qPCR. This finding is crucial for controlling Aleutian Mink Disease (AMD) and preventing economic losses in the industry.

Area of Science:

  • Veterinary Virology
  • Environmental Microbiology

Background:

  • Aleutian Mink Virus (AMDV) causes Aleutian Mink Disease (AMD), leading to significant global economic losses in the mink industry.
  • Environmental persistence of AMDV is known, but its detection in farm environments remains understudied, hindering effective disease control.

Purpose of the Study:

  • To investigate the presence and extent of AMDV environmental contamination on mink farms.
  • To evaluate the utility of quantitative polymerase chain reaction (qPCR) for detecting AMDV in environmental samples.

Main Methods:

  • Environmental samples were collected from mink farms with confirmed AMDV infections and from AMDV-free farms.
  • Quantitative polymerase chain reaction (qPCR) was employed to detect AMDV in all collected samples.

Main Results:

  • 93.9% of samples from infected farms tested positive for AMDV.
  • AMDV was detected on a farm with no prior positive results but shared personnel with an infected farm.
  • Higher contamination levels were found on surfaces in direct contact with animals.
  • All samples from AMD-free farms, including one with a prior eradication procedure, tested negative.

Conclusions:

  • This study provides the first evidence of AMDV environmental contamination on mink farm surfaces, furniture, and equipment.
  • qPCR is an effective tool for assessing AMDV environmental spread and can be valuable for disease control programs.