Literature DB >> 29986775

Molecular epidemiology of Cryptosporidium spp. in dairy cattle in Guangdong Province, South China.

Nan Liang1, Yayun Wu1, Mingfei Sun2, Yankai Chang1, Xuhui Lin2, Linzeng Yu2, Suhui Hu1, Xiangqian Zhang1, Shuangjian Zheng1, Zhaohui Cui1, Longxian Zhang1.   

Abstract

To determine the prevalence of Cryptosporidium in dairy cattle in Guangdong Province, South China, 1440 fecal samples were collected from 10 farms and screened for Cryptosporidium with PCR. The overall prevalence of Cryptosporidium was 4.38% (63/1440), and the infection rates in preweaned calves, postweaned calves, heifers and adults were 6.4% (19/297), 6.19% (33/533), 1.48% (4/271) and 2.06% (7/339), respectively. Three Cryptosporidium species, Cryptosporidium andersoni (n = 33), Cryptosporidium bovis (n = 22) and Cryptosporidium ryanae (n = 8) were detected by DNA sequence analysis of the 63 positive samples, and C. andersoni was identified as the most common species on the dairy cattle farms. In preweaned calves, C. bovis was the most prevalent species (9/19, 47.4%). In contrast, C. andersoni was the predominant species (19/33, 57.6%) in postweaned calves and the only species found in heifers and adults. The zoonotic species Cryptosporidium parvum was not detected in this study. Twenty-four C. andersoni isolates were successfully classified into three multilocus sequence typing (MLST) subtypes. MLST subtype A4,A4,A4,A1 was the predominant subtype, and MLST subtype A2,A5,A2,A1, previously found in sheep, was detected in cattle for the first time. A linkage disequilibrium analysis showed that the C. andersoni isolates had a clonal genetic population structure. However, further molecular studies are required to better understand the epidemiology of Cryptosporidium in Guangdong.

Entities:  

Keywords:  Cryptosporidium; Guangdong; dairy cattle; genotype; prevalence; subtype

Year:  2018        PMID: 29986775     DOI: 10.1017/S0031182018001129

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  8 in total

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Journal:  Animals (Basel)       Date:  2022-04-15       Impact factor: 3.231

2.  Prevalence and multilocus genotyping of Cryptosporidium spp. in cattle in Jiangxi Province, southeastern China.

Authors:  Sen Li; Yang Zou; Pei Wang; Ming-Ren Qu; Wen-Bin Zheng; Ping Wang; Xiao-Qing Chen; Xing-Quan Zhu
Journal:  Parasitol Res       Date:  2021-02-22       Impact factor: 2.289

3.  Subtyping Cryptosporidium ryanae: A Common Pathogen in Bovine Animals.

Authors:  Xin Yang; Ni Huang; Wen Jiang; Xinrui Wang; Na Li; Yaqiong Guo; Martin Kváč; Yaoyu Feng; Lihua Xiao
Journal:  Microorganisms       Date:  2020-07-24

4.  Prevalence and distribution pattern of Cryptosporidium spp. among pre-weaned diarrheic calves in the Republic of Korea.

Authors:  Dong-Hun Jang; Hyung-Chul Cho; Seung-Uk Shin; Eun-Mi Kim; Yu-Jin Park; Sunwoo Hwang; Jinho Park; Kyoung-Seong Choi
Journal:  PLoS One       Date:  2021-11-15       Impact factor: 3.240

5.  First Detection of Cryptosporidium spp. in Migratory Whooper Swans (Cygnus cygnus) in China.

Authors:  Ke Wang; Azhar Gazizova; Yuexin Wang; Kaihui Zhang; Yifan Zhang; Yankai Chang; Yuan Cui; Yuxi Zhang; Sumei Zhang; Longxian Zhang
Journal:  Microorganisms       Date:  2019-12-18

6.  Prevalence and species identification of Cryptosporidium spp. in the newborn dairy calves from Muang District, Khon Kaen Province, Thailand.

Authors:  Phennarin Doungmala; Patchara Phuektes; Weerapol Taweenan; Somboon Sangmaneedet; Ornampai Japa
Journal:  Vet World       Date:  2019-09

7.  A retrospective epidemiological analysis of human Cryptosporidium infection in China during the past three decades (1987-2018).

Authors:  Aiqin Liu; Baiyan Gong; Xiaohua Liu; Yujuan Shen; Yanchen Wu; Weizhe Zhang; Jianping Cao
Journal:  PLoS Negl Trop Dis       Date:  2020-03-30

8.  Molecular characterization and distribution of Cryptosporidium spp., Giardia duodenalis, and Enterocytozoon bieneusi from yaks in Tibet, China.

Authors:  Yayun Wu; Yankai Chang; Xiangqian Zhang; Yuancai Chen; Dongfang Li; Lu Wang; Shuangjian Zheng; Rongjun Wang; Sumei Zhang; Fuchun Jian; Changshen Ning; Jiakui Li; Longxian Zhang
Journal:  BMC Vet Res       Date:  2019-11-21       Impact factor: 2.741

  8 in total

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