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Prevalence and molecular characterization of Cryptosporidium spp. in dairy and beef cattle in Shanxi, China.
Zhao, Li; Wang, Mingyuan; Wang, Lifeng; Wang, Yan; Zhang, Shan; Zhang, Zhansheng; Chai, Hailiang; Fan, Wenjun; Yi, Chao; Ding, Yulin; Wang, Jinling; Sulijid, Jirintai; Liu, Yonghong.
Afiliação
  • Zhao L; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Wang M; Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture and Rural Affairs, Hohhot, China.
  • Wang L; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Wang Y; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Zhang S; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Zhang Z; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Chai H; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Fan W; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Yi C; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Ding Y; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Wang J; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
  • Sulijid J; Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture and Rural Affairs, Hohhot, China.
  • Liu Y; College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, China.
Parasitol Res ; 123(1): 8, 2023 Dec 06.
Article em En | MEDLINE | ID: mdl-38052995
ABSTRACT
Cryptosporidium spp. are key gastrointestinal protists in humans and animals worldwide. Infected cattle are considered the main source of cryptosporidiosis outbreaks in humans. However, little is known about the genetic makeup of Cryptosporidium populations in Shanxi province, China. We analyzed 858 fecal samples collected from farms in Shanxi. The presence of Cryptosporidium spp. was determined via polymerase chain reaction and subsequent sequence analysis of the small subunit rRNA gene as well as restriction fragment length polymorphism analysis. Cryptosporidium parvum was subtyped following sequence analysis of the 60 kDa glycoprotein gene (gp60). The overall prevalence of Cryptosporidium in cattle was 11.19%, with a prevalence of 13.30% and 8.67% in Lingqiu and Yingxian, respectively. The overall prevalence of Cryptosporidium in dairy and beef cattle was 10.78% and 11.50%, respectively. Cryptosporidium infection was detected across all analyzed age groups. The overall prevalence of Cryptosporidium in diarrhea and nondiarrhea samples was 18.24% and 9.72%, respectively, whereas that in intensively farmed and free-range cattle was 17.40% and 3.41%, respectively. We identified five Cryptosporidium species, with C. andersoni being the dominant species. Further, two cases of mixed infections of Cryptosporidium species were detected. All identified C. parvum isolates belonged to the subtype IIdA17G1.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças dos Bovinos / Criptosporidiose / Cryptosporidium Limite: Animals / Humans País/Região como assunto: Asia Idioma: En Revista: Parasitol Res Assunto da revista: PARASITOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças dos Bovinos / Criptosporidiose / Cryptosporidium Limite: Animals / Humans País/Região como assunto: Asia Idioma: En Revista: Parasitol Res Assunto da revista: PARASITOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China