Prevalence and characterization of Cryptosporidium in sika deer from Northern China

Cryptosporidium spp. are important zoonotic parasites that can cause moderate to severe diarrhea in humans and animals. However, the epidemiological data of Cryptosporidium in sika deer in China need to be updated. In this study, a total of 466 fecal samples were collected from sika deer in Shandong...

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Main Authors: Tang Yan, Xue Nian-Yu, Gao Yang, Gao Zhen-Qiu, Zhuang Hong-Di, Bao Guang-Rong, Cao Hong-Wei, Liu Jing, Li Jian-Ming, Liu Shuo
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:Parasite
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Online Access:https://www.parasite-journal.org/articles/parasite/full_html/2025/01/parasite250030/parasite250030.html
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author Tang Yan
Xue Nian-Yu
Gao Yang
Gao Zhen-Qiu
Zhuang Hong-Di
Bao Guang-Rong
Cao Hong-Wei
Liu Jing
Li Jian-Ming
Liu Shuo
author_facet Tang Yan
Xue Nian-Yu
Gao Yang
Gao Zhen-Qiu
Zhuang Hong-Di
Bao Guang-Rong
Cao Hong-Wei
Liu Jing
Li Jian-Ming
Liu Shuo
author_sort Tang Yan
collection DOAJ
description Cryptosporidium spp. are important zoonotic parasites that can cause moderate to severe diarrhea in humans and animals. However, the epidemiological data of Cryptosporidium in sika deer in China need to be updated. In this study, a total of 466 fecal samples were collected from sika deer in Shandong, Jilin, Liaoning, and Heilongjiang provinces. Nested PCR was used to amplify the SSU rRNA gene to detect Cryptosporidium spp. The results showed that the overall infection rate of Cryptosporidium spp. was 14.81%, with no significant differences among regions (p = 0.05). The highest infection rate was found in Heilongjiang Province (23.60%) and the lowest in Jilin Province (10.71%). The infection rate in summer (23.61%) seemed higher than that in autumn (13.20%), but the difference was not statistically significant (p = 0.30). Notably, young sika deer showed a significantly higher infection rate (28.21%) compared to adults (10.32%) (p < 0.0001). Sequence analysis identified two Cryptosporidium species/genotypes: Cryptosporidium deer genotype (98.55%) and Cryptosporidium ubiquitum (1.45%). Subtyping revealed that the C. ubiquitum isolate belonged to the zoonotic XIIa subtype. These findings provide new insights into the prevalence and genetic diversity of Cryptosporidium in sika deer and suggest that sika deer may act as a potential reservoir for zoonotic Cryptosporidium transmission.
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spelling doaj-art-79110c15334948db87f839d6c7aab70e2025-08-20T02:35:32ZengEDP SciencesParasite1776-10422025-01-01323510.1051/parasite/2025029parasite250030Prevalence and characterization of Cryptosporidium in sika deer from Northern ChinaTang Yan0Xue Nian-Yu1Gao Yang2Gao Zhen-Qiu3Zhuang Hong-Di4Bao Guang-Rong5Cao Hong-Wei6Liu Jing7Li Jian-Ming8Liu Shuo9https://orcid.org/0009-0005-4717-8329College of Life Sciences, Changchun Sci-Tech UniversityCollege of Veterinary Medicine, Yangzhou UniversityState Key Laboratory for Animal Disease Control and Prevention, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS)School of Pharmacy, Yancheng Teachers UniversityCollege of Animal Science and Technology, Jilin Agricultural UniversityCollege of Veterinary Medicine, Qingdao Agricultural UniversitySchool of Pharmacy, Yancheng Teachers UniversityCollege of Life Sciences, Changchun Sci-Tech UniversityCollege of Animal Science and Technology, Jilin Agricultural UniversityCollege of Veterinary Medicine, Qingdao Agricultural UniversityCryptosporidium spp. are important zoonotic parasites that can cause moderate to severe diarrhea in humans and animals. However, the epidemiological data of Cryptosporidium in sika deer in China need to be updated. In this study, a total of 466 fecal samples were collected from sika deer in Shandong, Jilin, Liaoning, and Heilongjiang provinces. Nested PCR was used to amplify the SSU rRNA gene to detect Cryptosporidium spp. The results showed that the overall infection rate of Cryptosporidium spp. was 14.81%, with no significant differences among regions (p = 0.05). The highest infection rate was found in Heilongjiang Province (23.60%) and the lowest in Jilin Province (10.71%). The infection rate in summer (23.61%) seemed higher than that in autumn (13.20%), but the difference was not statistically significant (p = 0.30). Notably, young sika deer showed a significantly higher infection rate (28.21%) compared to adults (10.32%) (p < 0.0001). Sequence analysis identified two Cryptosporidium species/genotypes: Cryptosporidium deer genotype (98.55%) and Cryptosporidium ubiquitum (1.45%). Subtyping revealed that the C. ubiquitum isolate belonged to the zoonotic XIIa subtype. These findings provide new insights into the prevalence and genetic diversity of Cryptosporidium in sika deer and suggest that sika deer may act as a potential reservoir for zoonotic Cryptosporidium transmission.https://www.parasite-journal.org/articles/parasite/full_html/2025/01/parasite250030/parasite250030.htmlcryptosporidium sp.sika deerprevalencesubtypechina
spellingShingle Tang Yan
Xue Nian-Yu
Gao Yang
Gao Zhen-Qiu
Zhuang Hong-Di
Bao Guang-Rong
Cao Hong-Wei
Liu Jing
Li Jian-Ming
Liu Shuo
Prevalence and characterization of Cryptosporidium in sika deer from Northern China
Parasite
cryptosporidium sp.
sika deer
prevalence
subtype
china
title Prevalence and characterization of Cryptosporidium in sika deer from Northern China
title_full Prevalence and characterization of Cryptosporidium in sika deer from Northern China
title_fullStr Prevalence and characterization of Cryptosporidium in sika deer from Northern China
title_full_unstemmed Prevalence and characterization of Cryptosporidium in sika deer from Northern China
title_short Prevalence and characterization of Cryptosporidium in sika deer from Northern China
title_sort prevalence and characterization of cryptosporidium in sika deer from northern china
topic cryptosporidium sp.
sika deer
prevalence
subtype
china
url https://www.parasite-journal.org/articles/parasite/full_html/2025/01/parasite250030/parasite250030.html
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