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

Author

Liang, Nan, Wu, Yayun, Sun, Mingfei, Chang, Yankai, Lin, Xuhui, Yu, Linzeng, Hu, Suhui, Zhang, Xiangqian, Zheng, Shuangjian, Cui, Zhaohui, and Zhang, Longxian

Subjects
CRYPTOSPORIDIUM, MOLECULAR epidemiology, DAIRY cattle, GENOTYPES, CALVES, HEIFERS
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. [ABSTRACT FROM AUTHOR]

Published
2019
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5. Genetic characteristics and geographic segregation of Giardia duodenalis in dairy cattle from Guangdong Province, southern China.

Author

Cui, Zhaohui, Wang, Luyang, Cao, Letian, Sun, Mingfei, Liang, Nan, Wang, Haiyan, Chang, Yankai, Lin, Xuhui, Yu, Linzeng, Wang, Rongjun, Zhang, Sumei, Ning, Changshen, and Zhang, Longxian

Subjects
*GIARDIA, *DAIRY cattle, *POLYMERASE chain reaction, *GLUTAMATE dehydrogenase, *TRIOSE-phosphate isomerase
Abstract

Abstract Giardia duodenalis is a gastrointestinal parasitic protozoan with important veterinary and public health implications worldwide. In this study, a total of 1440 fecal specimens were collected from dairy calves in Guangdong Province, China. The overall prevalence of G. duodenalis was 2.2% (31/1440) by polymerase chain reaction (PCR). The prevalence was 8.4% and 1.1% in pre- and post-weaned calves, respectively. Both assemblages A (6.5%, 2/31) and E (93.5%, 29/31) were found based on sequence analysis of the SSU rRNA gene. All G. duodenalis -positive samples were assayed with PCR followed by sequencing the beta giardin (bg), glutamate dehydrogenase (gdh), and triosephosphate isomerase (tpi) genes, and 20, 23, and 18 sequences were obtained, respectively. Multilocus genotyping yielded 10 assemblage E multilocus genotypes (MLGs). All assemblage E MLGs were genetically distinct from those obtained in cattle from Henan, Xinjiang, Shanghai, and Shaanxi in China. This finding was also supported by F ST , N m , and median-joining network analysis. Results of this study indicated that G. duodenalis was found in low prevalence in dairy calves in Guangdong Province, southern China; nevertheless, the infected calves might represent a public health risk in this region. Additionally, the differences in assemblage E MLGs from the five analyzed regions revealed significant geographic segregation of G. duodenalis in China. Graphical abstract Unlabelled Image Highlights • Both assemblages A and E of Giardia duodenalis were found in dairy calves. • The infected calves might represent a public health risk in this region. • Geographic segregation has shown in assemblage E of G. duodenalis in China. [ABSTRACT FROM AUTHOR]

Published
2018
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