Prevalence and Population Genetics Analysis of Enterocytozoon bieneusi in Dairy Cattle in China

Enterocytozoon bieneusi, an obligate intracellular pathogen, can infect various hosts. In this study, 3527 dairy cattle fecal specimens were collected from different geographic locations in China (including 673 from Shandong province, 1,440 from Guangdong province and 1,414 from Gansu province) and...

Full description

Bibliographic Details
Main Authors: Hai-Yan Wang, Meng Qi, Ming-Fei Sun, Dong-Fang Li, Rong-Jun Wang, Su-Mei Zhang, Jin-Feng Zhao, Jun-Qiang Li, Zhao-Hui Cui, Yuan-Cai Chen, Fu-Chun Jian, Rui-Ping Xiang, Chang-Shen Ning, Long-Xian Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmicb.2019.01399/full
_version_ 1818544606604689408
author Hai-Yan Wang
Hai-Yan Wang
Meng Qi
Ming-Fei Sun
Dong-Fang Li
Rong-Jun Wang
Su-Mei Zhang
Jin-Feng Zhao
Jun-Qiang Li
Zhao-Hui Cui
Yuan-Cai Chen
Fu-Chun Jian
Rui-Ping Xiang
Chang-Shen Ning
Long-Xian Zhang
author_facet Hai-Yan Wang
Hai-Yan Wang
Meng Qi
Ming-Fei Sun
Dong-Fang Li
Rong-Jun Wang
Su-Mei Zhang
Jin-Feng Zhao
Jun-Qiang Li
Zhao-Hui Cui
Yuan-Cai Chen
Fu-Chun Jian
Rui-Ping Xiang
Chang-Shen Ning
Long-Xian Zhang
author_sort Hai-Yan Wang
collection DOAJ
description Enterocytozoon bieneusi, an obligate intracellular pathogen, can infect various hosts. In this study, 3527 dairy cattle fecal specimens were collected from different geographic locations in China (including 673 from Shandong province, 1,440 from Guangdong province and 1,414 from Gansu province) and examined for the presence of E. bieneusi using polymerase chain reactions targeting the ribosomal internal transcribed spacer (ITS). The dominant genotypes identified were further subtyped by multilocus sequence typing. The overall prevalence of E. bieneusi was 14.2% (501/3527), with a significant difference in prevalence among the different geographical locations (P < 0.001). Our logistic regression analysis showed that all four variables (farming model, location, age, and clinical manifestations) had strong effects on the risk of contracting E. bieneusi. Sequence analysis revealed 11 genotypes: eight known genotypes (J, I, BEB4, BEB10, D, EbpC, CM19, and CM21) and three novel genotypes (named here as CGC1, CGC2, and CGC3). Genotypes J and I, the commonest, were found on all farms across the three provinces. Our linkage disequilibrium analysis showed a clonal population structure in the E. bieneusi dairy cattle population but the ITS genotypes had different population structures. Phylogenetic and haplotype network analysis showed the absence of geographical segregation in the E. bieneusi dairy cattle populations. Instead, they revealed the presence of host adaptation to the E. bieneusi populations in various animals. Our findings augment the current understanding of E. bieneusi transmission dynamics.
first_indexed 2024-12-11T22:50:41Z
format Article
id doaj.art-49a77df4e4504a62887def76c114a3a7
institution Directory Open Access Journal
issn 1664-302X
language English
last_indexed 2024-12-11T22:50:41Z
publishDate 2019-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Microbiology
spelling doaj.art-49a77df4e4504a62887def76c114a3a72022-12-22T00:47:28ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2019-06-011010.3389/fmicb.2019.01399464602Prevalence and Population Genetics Analysis of Enterocytozoon bieneusi in Dairy Cattle in ChinaHai-Yan Wang0Hai-Yan Wang1Meng Qi2Ming-Fei Sun3Dong-Fang Li4Rong-Jun Wang5Su-Mei Zhang6Jin-Feng Zhao7Jun-Qiang Li8Zhao-Hui Cui9Yuan-Cai Chen10Fu-Chun Jian11Rui-Ping Xiang12Chang-Shen Ning13Long-Xian Zhang14Experimental and Research Center, Henan University of Animal Husbandry and Economy, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science, Tarim University, Alar, ChinaInstitute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaExperimental and Research Center, Henan University of Animal Husbandry and Economy, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, ChinaEnterocytozoon bieneusi, an obligate intracellular pathogen, can infect various hosts. In this study, 3527 dairy cattle fecal specimens were collected from different geographic locations in China (including 673 from Shandong province, 1,440 from Guangdong province and 1,414 from Gansu province) and examined for the presence of E. bieneusi using polymerase chain reactions targeting the ribosomal internal transcribed spacer (ITS). The dominant genotypes identified were further subtyped by multilocus sequence typing. The overall prevalence of E. bieneusi was 14.2% (501/3527), with a significant difference in prevalence among the different geographical locations (P < 0.001). Our logistic regression analysis showed that all four variables (farming model, location, age, and clinical manifestations) had strong effects on the risk of contracting E. bieneusi. Sequence analysis revealed 11 genotypes: eight known genotypes (J, I, BEB4, BEB10, D, EbpC, CM19, and CM21) and three novel genotypes (named here as CGC1, CGC2, and CGC3). Genotypes J and I, the commonest, were found on all farms across the three provinces. Our linkage disequilibrium analysis showed a clonal population structure in the E. bieneusi dairy cattle population but the ITS genotypes had different population structures. Phylogenetic and haplotype network analysis showed the absence of geographical segregation in the E. bieneusi dairy cattle populations. Instead, they revealed the presence of host adaptation to the E. bieneusi populations in various animals. Our findings augment the current understanding of E. bieneusi transmission dynamics.https://www.frontiersin.org/article/10.3389/fmicb.2019.01399/fullEnterocytozoon bieneusiprevalencedairy cattleChinamultilocus genotypingzoonotic infection
spellingShingle Hai-Yan Wang
Hai-Yan Wang
Meng Qi
Ming-Fei Sun
Dong-Fang Li
Rong-Jun Wang
Su-Mei Zhang
Jin-Feng Zhao
Jun-Qiang Li
Zhao-Hui Cui
Yuan-Cai Chen
Fu-Chun Jian
Rui-Ping Xiang
Chang-Shen Ning
Long-Xian Zhang
Prevalence and Population Genetics Analysis of Enterocytozoon bieneusi in Dairy Cattle in China
Frontiers in Microbiology
Enterocytozoon bieneusi
prevalence
dairy cattle
China
multilocus genotyping
zoonotic infection
title Prevalence and Population Genetics Analysis of Enterocytozoon bieneusi in Dairy Cattle in China
title_full Prevalence and Population Genetics Analysis of Enterocytozoon bieneusi in Dairy Cattle in China
title_fullStr Prevalence and Population Genetics Analysis of Enterocytozoon bieneusi in Dairy Cattle in China
title_full_unstemmed Prevalence and Population Genetics Analysis of Enterocytozoon bieneusi in Dairy Cattle in China
title_short Prevalence and Population Genetics Analysis of Enterocytozoon bieneusi in Dairy Cattle in China
title_sort prevalence and population genetics analysis of enterocytozoon bieneusi in dairy cattle in china
topic Enterocytozoon bieneusi
prevalence
dairy cattle
China
multilocus genotyping
zoonotic infection
url https://www.frontiersin.org/article/10.3389/fmicb.2019.01399/full
work_keys_str_mv AT haiyanwang prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT haiyanwang prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT mengqi prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT mingfeisun prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT dongfangli prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT rongjunwang prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT sumeizhang prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT jinfengzhao prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT junqiangli prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT zhaohuicui prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT yuancaichen prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT fuchunjian prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT ruipingxiang prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT changshenning prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina
AT longxianzhang prevalenceandpopulationgeneticsanalysisofenterocytozoonbieneusiindairycattleinchina