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...
Main Authors: | , , , , , , , , , , , , , |
---|---|
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 |