Occurrence, Molecular Characterization, and Assessment of Zoonotic Risk of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi in Pigs in Henan, Central China

微孢子虫 生物 隐孢子虫 基因型 贾第虫 粪便 兽医学 人畜共患病 微孢子虫病 微生物学 病毒学 基因 微孢子虫 遗传学 孢子 医学
作者
Haiyan Wang,Yiqi Zhang,Yayun Wu,Junqiang Li,Meng Qi,Tingwen Li,Jianling Wang,Rongjun Wang,Sumei Zhang,Fuchun Jian,Changshen Ning,Longxian Zhang
出处
期刊:Journal of Eukaryotic Microbiology [Wiley]
卷期号:65 (6): 893-901 被引量:40
标识
DOI:10.1111/jeu.12634
摘要

Abstract Cryptosporidium spp., Giardia duodenalis , and Enterocytozoon bieneusi are common gastrointestinal pathogens in humans and animals. Little is known about them and the range of species/assemblages/genotypes occurring in domestic pigs in China. Here, we present data on the occurrence and molecular diversity of these pathogens detected in the feces from farms in Henan, central China. Of 897 fecal samples tested, 28 (3.1%), 15 (1.7%), and 408 (45.5%) samples were positive for Cryptosporidium , G. duodenalis , and E. bieneusi , respectively. Cryptosporidium and G. duodenalis were most frequently detected in piglets, while E. bieneusi was markedly more prevalent in fattening pigs. Sequence analysis of SSU rRNA gene revealed that positive Cryptosporidium strains belonged to C. suis ( n = 18) and C. scrofarum ( n = 10). Giardia duodenalis assemblages E ( n = 9), assemblages A ( n = 3), and assemblages C ( n = 3) were characterized based on the sequence analysis of tpi gene. Thirteen E. bieneusi genotypes comprising four novel (pig HN ‐I to pig HN ‐ IV ) and nine known (EbpC, EbpA, pigEb ITS 5, LW 1, H, CM 8, G, CHG 19, and CHS 5) genotypes were identified by ITS sequence analysis of a large proportion ( n = 200) of E. bieneusi ‐positive samples. EbpC was the most frequent genotype, detected in 60 specimens. All 13 genotypes identified in this study clustered in zoonotic Group 1. The findings indicate that the presence of zoonotic species/assemblages/genotypes of these pathogens poses a threat to public health, suggesting that pigs in Henan province could be a significant source of human infection and water pollution.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
天天快乐应助科研通管家采纳,获得10
刚刚
1秒前
hhh完成签到,获得积分10
1秒前
1秒前
2秒前
春宇完成签到,获得积分10
2秒前
3秒前
CodeCraft应助氧气瑞采纳,获得10
3秒前
momo完成签到 ,获得积分10
4秒前
YY完成签到 ,获得积分10
4秒前
4秒前
云归去完成签到,获得积分20
5秒前
小季完成签到,获得积分10
5秒前
5秒前
嘟嘟嘟嘟应助外向寻雪采纳,获得10
6秒前
6秒前
酷波er应助YHG667采纳,获得10
6秒前
薛乎虚发布了新的文献求助10
6秒前
7秒前
7秒前
上官若男应助popo6150采纳,获得10
7秒前
SciGPT应助coolru采纳,获得10
7秒前
cui发布了新的文献求助10
7秒前
8秒前
8秒前
自觉飞飞发布了新的文献求助10
9秒前
阿喀琉斯拉完成签到,获得积分10
10秒前
Mifabric完成签到,获得积分10
10秒前
11秒前
呱呱太完成签到,获得积分10
12秒前
科研通AI6.3应助snowdream采纳,获得10
12秒前
亚齐发布了新的文献求助10
12秒前
Wang666发布了新的文献求助10
12秒前
Ascho发布了新的文献求助10
13秒前
13秒前
丘比特应助看起来不太强采纳,获得10
14秒前
14秒前
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7582292
求助须知:如何正确求助?哪些是违规求助? 9161338
关于积分的说明 19602449
捐赠科研通 7164521
什么是DOI,文献DOI怎么找? 3266137
关于科研通互助平台的介绍 2431010
邀请新用户注册赠送积分活动 2257331