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

文献类型： 外文期刊

第一作者： Li, Sen

作者： Li, Sen;Wang, Pei;Qu, Ming-Ren;Wang, Ping;Chen, Xiao-Qing;Li, Sen;Zou, Yang;Zhu, Xing-Quan;Zheng, Wen-Bin;Zhu, Xing-Quan;Zhu, Xing-Quan

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关键词： Cryptosporidium; Cattle; Prevalence; MLST subtypes; Jiangxi province; Southeastern China

期刊名称：PARASITOLOGY RESEARCH （ 影响因子：2.289； 五年影响因子：2.403 ）

ISSN： 0932-0113

年卷期： 2021 年 120 卷 4 期

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收录情况： SCI

摘要： Cryptosporidium is a genus of single-celled protozoa, infecting a wide range of animals and humans. Although Cryptosporidium infections of cattle have been reported in some provinces in China, there is no available information on the prevalence and predominant species of Cryptosporidium in cattle in Jiangxi province. To investigate the prevalence of Cryptosporidium in cattle in Jiangxi province of China, 556 fecal samples were collected from eight farms in four cities and the SSU rRNA locus of Cryptosporidium was amplified from the DNA of each fecal sample by PCR. The overall prevalence of Cryptosporidium was 12.8% (71/556) in cattle in Jiangxi province, with 24.3% (54/222) in Nanchang city, 7.8%(13/166) in Gao'an city, 3.7%(4/108) in Xinyu city, and 0.0% (0/60) in Ji'an city. The differences of the prevalence rates by region, breed, and age groups were statistically significant. All positive PCR products of Cryptosporidium were successfully sequenced and identified as three Cryptosporidium species, namely Cryptosporidium bovis (1/556, 0.18%), Cryptosporidium ryanae (7/556, 1.3%), and Cryptosporidium andersoni (63/556, 11.3%). Furthermore, 36 C. andersoni isolates were successfully classified into three MLST (multilocus sequence typing) subtypes based on four genetic loci (MS1, MS2, MS3, and MS16). The predominant MLST subtype was A4, A4, A4, A1 (n = 30). These findings not only revealed the prevalence and predominant species of Cryptosporidium in cattle in Jiangxi province, but also provided a baseline for studying the genetic structure of C. andersoni, offering a novel resource for better understanding of the epidemiology of Cryptosporidium infection in cattle in Jiangxi province, southeastern China.

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