| Title |
First surveillance and molecular identification of the Cryptosporidium skunk genotype and Cryptosporidium parvum in wild raccoons (Procyon lotor) in Osaka, Japan
|
|---|---|
| Published in |
Parasitology Research, September 2018
|
| DOI | 10.1007/s00436-018-6089-y |
| Pubmed ID | |
| Authors |
Koji Hattori, Takuto Donomoto, Tilusha Manchanayake, Tomoyuki Shibahara, Kazumi Sasai, Makoto Matsubayashi |
| Abstract |
Recent research suggests that raccoons (Procyon lotor) can transmit several important pathogens affecting humans, including protozoans. In Japan, the number of wild raccoons has increased since they were first introduced more than 50 years ago. Here, we report the first survey of Cryptosporidium infection using fecal swabs of raccoons captured in Osaka, Japan. Of 116 raccoons examined by PCR targeting of the Cryptosporidium 18S rRNA gene, 7 (6.03%; 2 adults and 5 young animals) were positive, and the isolates were identified as Cryptosporidium skunk genotype (subtype XVIa) and C. parvum based on sequence and phylogenetic analyses. Both species and the genotype are zoonotic; thus, our results suggest that raccoons could transmit Cryptosporidium infections to humans in Japan. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Student > Master | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 4 | 24% |
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Agricultural and Biological Sciences | 2 | 12% |
| Immunology and Microbiology | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
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 13 October 2018.
All research outputs
#18,650,639
of 23,105,443 outputs
Outputs from Parasitology Research
#2,390
of 3,802 outputs
Outputs of similar age
#261,607
of 342,007 outputs
Outputs of similar age from Parasitology Research
#38
of 68 outputs
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