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Prevalence, genotypes, and risk factors of Enterocytozoon bieneusi in Asiatic black bear (Ursus thibetanus) in Yunnan Province, Southwestern China

Overview of attention for article published in Parasitology Research, February 2018
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Title
Prevalence, genotypes, and risk factors of Enterocytozoon bieneusi in Asiatic black bear (Ursus thibetanus) in Yunnan Province, Southwestern China
Published in
Parasitology Research, February 2018
DOI 10.1007/s00436-018-5791-0
Pubmed ID
Authors

Jie Wu, Jian-Qiang Han, Lian-Qin Shi, Yang Zou, Zhao Li, Jian-Fa Yang, Cui-Qin Huang, Feng-Cai Zou

Abstract

Microsporidiosis is an important zoonotic disease, even leading to severe diarrhea. However, no information about prevalence and genotypes of Enterocytozoon bieneusi infection in Asiatic black bears in southwestern China is available. The objectives of the present study were to investigate the prevalence of E. bieneusi and to characterize their genotypes using the nested PCR amplification of the internal transcribed spacer region of the ribosomal RNA gene cluster and multilocus sequence typing (MLST). The overall prevalence of E. bieneusi was 19.75% (80/405) and the rate of E. bieneusi in Xishuangbanna (33.33%) was significantly higher than that in any other regions (Honghe, 17.65%; Dehong, 13.04%; Kunming, 0; P = 0.01). Sequence analysis revealed that 4 known genotypes (D, n = 2; SC02, n = 10; SC01, n = 5; and CHB1, n = 4) and 13 novel genotypes (designed MJ1-MJ13) were identified. When 17, 5, 14, and 34 sequences at loci MS1, MS3, MS4, and MS7 via MLST analyses, representing 4, 4, 5, and 10 genotypes, respectively, were completed, one multilocus genotype (MLG novel-ABB1) was identified. This is the first report of E. bieneusi in Asiatic black bear in Yunnan province, Southwestern China. The results indicated the potential zoonotic risk of this parasite through the Asiatic black bear in this region and provided foundation data for preventing and controlling E. bieneusi infection of many other animals and humans in these regions.

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Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Student > Doctoral Student 1 7%
Professor 1 7%
Other 3 21%
Unknown 4 29%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 21%
Biochemistry, Genetics and Molecular Biology 1 7%
Nursing and Health Professions 1 7%
Agricultural and Biological Sciences 1 7%
Immunology and Microbiology 1 7%
Other 2 14%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2018.
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#20,465,050
of 23,023,224 outputs
Outputs from Parasitology Research
#2,897
of 3,800 outputs
Outputs of similar age
#408,033
of 474,288 outputs
Outputs of similar age from Parasitology Research
#76
of 96 outputs
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