Descriptive distribution and phylogenetic analysis of feline infectious peritonitis virus isolates of Malaysia

Saeed Sharif1, Siti S Arshad, Mohd Hair-Bejo

  • 1Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.

Insights

Feline coronaviruses (FCoVs) were detected in 89% of cats with feline infectious peritonitis (FIP) in Malaysia. Genetic analysis revealed Malaysian FCoV isolates form a distinct cluster, providing crucial insights into feline coronavirus in the region.

Area of Science:

  • Veterinary Virology
  • Molecular Epidemiology
  • Feline Infectious Diseases

Background:

  • Feline infectious peritonitis (FIP) is a severe disease in cats caused by feline coronaviruses (FCoVs).
  • Limited genetic data on FCoVs exists for Malaysia, hindering epidemiological understanding.

Purpose of the Study:

  • To investigate the distribution and genetic characteristics of FCoVs in cats with suspected FIP in Malaysia.
  • To provide the first genetic information on FCoV isolates from Malaysia.

Main Methods:

  • Reverse transcription polymerase chain reaction (RT-PCR) was used to detect FCoV in ascitic fluid and biopsy samples.
  • Nucleotide sequencing of the 3' untranslated region (3'UTR) of the FCoV genome was performed on positive samples.
  • Phylogenetic analysis was conducted to determine the genetic relationships of Malaysian FCoV isolates.

Main Results:

  • FCoV was detected in 89% of the sampled cats.
  • The majority of FCoV-positive cats were male (80%) and under 2 years old (64%).
  • Sequencing revealed Malaysian FCoV isolates share 96% homology with each other and 93% with reference strains, forming a distinct genetic cluster.

Conclusions:

  • Feline coronaviruses are highly prevalent in cats with FIP in Malaysia.
  • Malaysian FCoV isolates represent a genetically distinct group, contributing novel data to global FCoV phylogeny.
  • This study establishes a genetic baseline for FCoV in Malaysia, crucial for future disease control efforts.