1.Molecular Prevalence of Cryptosporidium spp. among Companion Birds Kept in Pet Shops in Japan
Yuko IIJIMA ; Naoyuki ITOH ; Totsapon PHROMPRAPHAI ; Yoichi ITO ; Yuya KIMURA ; Satoshi KAMESHIMA
The Korean Journal of Parasitology 2018;56(3):281-285
Cryptosporidium is the most common protozoan that can infect a wide range of animals, including mammals and birds. Avian Cryptosporidium spp. can cause enteric and respiratory diseases which can be fatal in birds and some species are zoonotic. Companion birds have the potential as reservoir due to their close contact with humans. Pet shops are the major source of companion birds. However, few reports are available regarding Cryptosporidium spp. infection among companion birds kept in pet shops. The present study reports the prevalence and molecular characteristics of Cryptosporidium spp. among companion birds kept in pet shops in Japan. A total of 265 fresh fecal samples were obtained from birds kept in 4 pet shops; these birds belonged to 41 species in 3 bird orders. A nested polymerase chain reaction (PCR) assay targeting the small subunit rRNA gene was employed for the detection of Cryptosporidium spp. A total of 24 samples (9.1%) were positive, and Cryptosporidium spp. were detected from all pet shops. The prevalence of Cryptosporidium spp. in each of the bird orders was 6.5% (10/153) in Psittaciformes, 14.4% (13/90) in Passeriformes, and 4.5% (1/22) in Galliformes. Based on sequence analysis, 13 (54.2%) isolates were classified to C. galli, 8 (33.3%) were avian genotype III, and the remaining 3 (12.5%) were C. baileyi. No infection with zoonotic C. meleagridis and no coinfection with multiple Cryptosporidium spp. and/or genotypes were observed. The zoonotic potential of Cryptosporidium spp. infecting companion birds kept in pet shops in Japan is likely to be low.
Animals
;
Birds
;
Coinfection
;
Cryptosporidium
;
Friends
;
Galliformes
;
Genes, rRNA
;
Genotype
;
Humans
;
Japan
;
Mammals
;
Passeriformes
;
Polymerase Chain Reaction
;
Pregnancy
;
Prevalence
;
Psittaciformes
;
Sequence Analysis