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Molecular detection, subtyping of Blastocystis sp. in migratory birds from nature reserves in northeastern China.

Hai-Jun WangDi ChenZhen-Hua MaCun-Fa LiuWei-Dong LiYi HaoJing-Shuang YangQing-Bao LinDa-Wei ZhangYang LiYang YuWei CongLi-Wen Song
Published in: Acta tropica (2024)
Migratory birds play an important role in the cross-regional transmission of zoonotic pathogens. Assessing the presence of zoonotic pathogens carried by migratory birds is critical for disease control. However, information about Blastocystis infection in the migratory birds is very limited. Thus, we conducted this study with the aim to explore the occurrence, prevalence and subtyping of Blastocystis in four breeds of migratory birds in northeastern China. From October 2022 to April 2023, a total of 427 fresh fecal samples were obtained from four breeds of migratory birds in five nature reserves in northeastern China, and screened for Blastocystis by PCR amplification. Twenty-one (4.92 %) of the studied samples were confirmed Blastocystis-positive, and two known zoonotic subtypes ST6 and ST7 were founded, with ST7 being the major subtype. Until now, we firstly reported the infection status and subtyping of Blastocystis in the migratory Greater White-Fronted Goose, White Stork, Oriental White Stork and Bean Goose in China. More importantly, these findings present further data on the genetic diversity and transmission routes of Blastocystis and further arouse public health concerns about this organism.
Keyphrases
  • genetic diversity
  • public health
  • risk assessment
  • machine learning
  • electronic health record
  • antimicrobial resistance
  • big data
  • artificial intelligence
  • deep learning