Open Access
Open access
volume 146 issue 1 pages 28-32

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

Nan Liang 1, 2, 3
Yayun Wu 1, 2
Mingfei Sun 4
Yankai Chang 1, 2
Xuhui Lin 4
Linzeng Yu 4
Suhui Hu 1, 2
Xiangqian Zhang 1, 2
Shuangjian Zheng 1, 2
Zhaohui Cui 1, 2
Longxian Zhang 1, 2
2
 
International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou 450002, Henan Province, China
3
 
College of Animal Husbandry Engineering, Henan Vocational College of Agriculture, Zhongmu 451450, Henan Province, China
Publication typeJournal Article
Publication date2018-07-10
scimago Q1
wos Q2
SJR0.631
CiteScore4.8
Impact factor2.4
ISSN00311820, 14698161
Infectious Diseases
Animal Science and Zoology
Parasitology
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.

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GOST |
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GOST Copy
Liang N. et al. Molecular epidemiology of Cryptosporidium spp. in dairy cattle in Guangdong Province, South China // Parasitology. 2018. Vol. 146. No. 1. pp. 28-32.
GOST all authors (up to 50) Copy
Liang N., Wu Y., Sun M., Chang Y., Lin X., Yu L., Hu S., Zhang X., Zheng S., Cui Z., Zhang L. Molecular epidemiology of Cryptosporidium spp. in dairy cattle in Guangdong Province, South China // Parasitology. 2018. Vol. 146. No. 1. pp. 28-32.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1017/s0031182018001129
UR - https://doi.org/10.1017/s0031182018001129
TI - Molecular epidemiology of Cryptosporidium spp. in dairy cattle in Guangdong Province, South China
T2 - Parasitology
AU - Liang, Nan
AU - Wu, Yayun
AU - Sun, Mingfei
AU - Chang, Yankai
AU - Lin, Xuhui
AU - Yu, Linzeng
AU - Hu, Suhui
AU - Zhang, Xiangqian
AU - Zheng, Shuangjian
AU - Cui, Zhaohui
AU - Zhang, Longxian
PY - 2018
DA - 2018/07/10
PB - Cambridge University Press
SP - 28-32
IS - 1
VL - 146
PMID - 29986775
SN - 0031-1820
SN - 1469-8161
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2018_Liang,
author = {Nan Liang and Yayun Wu and Mingfei Sun and Yankai Chang and Xuhui Lin and Linzeng Yu and Suhui Hu and Xiangqian Zhang and Shuangjian Zheng and Zhaohui Cui and Longxian Zhang},
title = {Molecular epidemiology of Cryptosporidium spp. in dairy cattle in Guangdong Province, South China},
journal = {Parasitology},
year = {2018},
volume = {146},
publisher = {Cambridge University Press},
month = {jul},
url = {https://doi.org/10.1017/s0031182018001129},
number = {1},
pages = {28--32},
doi = {10.1017/s0031182018001129}
}
MLA
Cite this
MLA Copy
Liang, Nan, et al. “Molecular epidemiology of Cryptosporidium spp. in dairy cattle in Guangdong Province, South China.” Parasitology, vol. 146, no. 1, Jul. 2018, pp. 28-32. https://doi.org/10.1017/s0031182018001129.