Prevalence and genetic diversity of Theileria equi from horses in Xinjiang Uygur Autonomous region, China
Theileria equi is a tick-borne intracellular apicomplexan protozoan parasite that causes equine theileriosis (ET). ET is an economically important disease with a worldwide distribution that significantly impacts international horse movement. Horses are an essential part of the economy in Xinjiang wh...
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description | Theileria equi is a tick-borne intracellular apicomplexan protozoan parasite that causes equine theileriosis (ET). ET is an economically important disease with a worldwide distribution that significantly impacts international horse movement. Horses are an essential part of the economy in Xinjiang which is home to ∼10% of all the horses in China. However, there is very limited information on the prevalence and genetic complexity of T. equi in this region. Blood samples from 302 horses were collected from May to September 2021 in Ili, Xinjiang, and subjected to PCR examination for the presence of T. equi. In addition, a Bayesian latent class model was employed to estimate the true prevalence of T. equi, and a phylogenetic analysis was carried out based on the 18S rRNA gene of T. equi isolates. Seventy-two horses (23.8%) were PCR positive. After accounting for the imperfect PCR test using a Bayesian latent class model, the estimated true prevalence differed considerably between age groups, being 10.8% (95%CrI: 5.8% - 17.9%) in ≤ 3-year-old horses and 35.7% (95%CrI: 28.1% - 44.5%) in horses that were > 3 year-old. All T. equi isolates had their 18S rRNA gene (430bp) sequenced and analyzed in order to identify whether there were multiple genotypes of T. equi in the Xinjiang horse population. All of the 18S rRNA genes clustered into one phylogenetic group, clade E, which is thus probably the dominant genotype of T. equi in Xinjiang, China. To summarize, we monitored the prevalence of T. equi in horses of Xinjiang, China, with a focus on the association between age and the occurrence of T. equi by Bayesian modelling, accompanied by the genotyping of T. equi isolates. Obtaining the information on genotypes and age structure is significant in monitoring the spread of T. equi and studying the factors responsible for the distribution.
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[Display omitted]</description><identifier>ISSN: 1877-959X</identifier><identifier>EISSN: 1877-9603</identifier><identifier>DOI: 10.1016/j.ttbdis.2023.102193</identifier><identifier>PMID: 37150103</identifier><language>eng</language><publisher>Netherlands: Elsevier GmbH</publisher><subject>Animals ; Babesiosis - epidemiology ; Bayes Theorem ; Bayesian modelling ; Cattle ; Equine, Theileria equi ; Genetic Variation ; Genotype ; Horse Diseases - diagnosis ; Horses ; Molecular epidemiology ; Phylogeny ; Prevalence ; Theileria ; Theileriasis - parasitology</subject><ispartof>Ticks and tick-borne diseases, 2023-07, Vol.14 (4), p.102193-102193, Article 102193</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier GmbH.. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-98d131b5ccca646ee2b348f0b55552900cad07217e701bcdebed2d44e7550b3</citedby><cites>FETCH-LOGICAL-c408t-98d131b5ccca646ee2b348f0b55552900cad07217e701bcdebed2d44e7550b3</cites><orcidid>0000-0003-3893-9403 ; 0000-0002-7343-7815 ; 0000-0002-8938-8595</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ttbdis.2023.102193$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,861,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37150103$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Yang</creatorcontrib><creatorcontrib>Shi, Qianyun</creatorcontrib><creatorcontrib>Laven, Richard</creatorcontrib><creatorcontrib>Li, Caishan</creatorcontrib><creatorcontrib>He, Wenwen</creatorcontrib><creatorcontrib>Zheng, Huizhen</creatorcontrib><creatorcontrib>Liu, Shifang</creatorcontrib><creatorcontrib>Lu, Mingmin</creatorcontrib><creatorcontrib>Yang, Danchen Aaron</creatorcontrib><creatorcontrib>Guo, Qingyong</creatorcontrib><creatorcontrib>Chahan, Bayin</creatorcontrib><title>Prevalence and genetic diversity of Theileria equi from horses in Xinjiang Uygur Autonomous region, China</title><title>Ticks and tick-borne diseases</title><addtitle>Ticks Tick Borne Dis</addtitle><description>Theileria equi is a tick-borne intracellular apicomplexan protozoan parasite that causes equine theileriosis (ET). ET is an economically important disease with a worldwide distribution that significantly impacts international horse movement. Horses are an essential part of the economy in Xinjiang which is home to ∼10% of all the horses in China. However, there is very limited information on the prevalence and genetic complexity of T. equi in this region. Blood samples from 302 horses were collected from May to September 2021 in Ili, Xinjiang, and subjected to PCR examination for the presence of T. equi. In addition, a Bayesian latent class model was employed to estimate the true prevalence of T. equi, and a phylogenetic analysis was carried out based on the 18S rRNA gene of T. equi isolates. Seventy-two horses (23.8%) were PCR positive. After accounting for the imperfect PCR test using a Bayesian latent class model, the estimated true prevalence differed considerably between age groups, being 10.8% (95%CrI: 5.8% - 17.9%) in ≤ 3-year-old horses and 35.7% (95%CrI: 28.1% - 44.5%) in horses that were > 3 year-old. All T. equi isolates had their 18S rRNA gene (430bp) sequenced and analyzed in order to identify whether there were multiple genotypes of T. equi in the Xinjiang horse population. All of the 18S rRNA genes clustered into one phylogenetic group, clade E, which is thus probably the dominant genotype of T. equi in Xinjiang, China. To summarize, we monitored the prevalence of T. equi in horses of Xinjiang, China, with a focus on the association between age and the occurrence of T. equi by Bayesian modelling, accompanied by the genotyping of T. equi isolates. Obtaining the information on genotypes and age structure is significant in monitoring the spread of T. equi and studying the factors responsible for the distribution.
[Display omitted]</description><subject>Animals</subject><subject>Babesiosis - epidemiology</subject><subject>Bayes Theorem</subject><subject>Bayesian modelling</subject><subject>Cattle</subject><subject>Equine, Theileria equi</subject><subject>Genetic Variation</subject><subject>Genotype</subject><subject>Horse Diseases - diagnosis</subject><subject>Horses</subject><subject>Molecular epidemiology</subject><subject>Phylogeny</subject><subject>Prevalence</subject><subject>Theileria</subject><subject>Theileriasis - parasitology</subject><issn>1877-959X</issn><issn>1877-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1Lw0AQhhdRbKn-A5E9erB1P5ImuQil-AWCggrels3upJ2S7NbdpNB_b0rUo3OZYXhn3pmHkAvOZpzx-c1m1ralxTgTTMi-JXghj8iY51k2LeZMHv_WafE5Iucxblgfkid5Jk7JSGY8ZZzJMcHXADtdgzNAtbN0BQ5aNNTiDkLEdk99Rd_XgDUE1BS-OqRV8A1d-xAhUnT0E90GtVvRj_2qC3TRtd75xneRBlihd9d0uUanz8hJpesI5z95Qt7u796Xj9Pnl4en5eJ5ahKWt9Mit1zyMjXG6HkyBxClTPKKlWkfomDMaMsywTPIGC-NhRKssEkCWZqyUk7I1bB1G_xXB7FVDUYDda0d9CcpkXMueCqTopcmg9QEH2OASm0DNjrsFWfqQFlt1EBZHSirgXI_dvnj0JUN2L-hX6a94HYQQP_lDiGoaPAA2GIA0yrr8X-Hb59jkJ8</recordid><startdate>202307</startdate><enddate>202307</enddate><creator>Zhang, Yang</creator><creator>Shi, Qianyun</creator><creator>Laven, Richard</creator><creator>Li, Caishan</creator><creator>He, Wenwen</creator><creator>Zheng, Huizhen</creator><creator>Liu, Shifang</creator><creator>Lu, Mingmin</creator><creator>Yang, Danchen Aaron</creator><creator>Guo, Qingyong</creator><creator>Chahan, Bayin</creator><general>Elsevier GmbH</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3893-9403</orcidid><orcidid>https://orcid.org/0000-0002-7343-7815</orcidid><orcidid>https://orcid.org/0000-0002-8938-8595</orcidid></search><sort><creationdate>202307</creationdate><title>Prevalence and genetic diversity of Theileria equi from horses in Xinjiang Uygur Autonomous region, China</title><author>Zhang, Yang ; Shi, Qianyun ; Laven, Richard ; Li, Caishan ; He, Wenwen ; Zheng, Huizhen ; Liu, Shifang ; Lu, Mingmin ; Yang, Danchen Aaron ; Guo, Qingyong ; Chahan, Bayin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-98d131b5ccca646ee2b348f0b55552900cad07217e701bcdebed2d44e7550b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Animals</topic><topic>Babesiosis - epidemiology</topic><topic>Bayes Theorem</topic><topic>Bayesian modelling</topic><topic>Cattle</topic><topic>Equine, Theileria equi</topic><topic>Genetic Variation</topic><topic>Genotype</topic><topic>Horse Diseases - diagnosis</topic><topic>Horses</topic><topic>Molecular epidemiology</topic><topic>Phylogeny</topic><topic>Prevalence</topic><topic>Theileria</topic><topic>Theileriasis - parasitology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yang</creatorcontrib><creatorcontrib>Shi, Qianyun</creatorcontrib><creatorcontrib>Laven, Richard</creatorcontrib><creatorcontrib>Li, Caishan</creatorcontrib><creatorcontrib>He, Wenwen</creatorcontrib><creatorcontrib>Zheng, Huizhen</creatorcontrib><creatorcontrib>Liu, Shifang</creatorcontrib><creatorcontrib>Lu, Mingmin</creatorcontrib><creatorcontrib>Yang, Danchen Aaron</creatorcontrib><creatorcontrib>Guo, Qingyong</creatorcontrib><creatorcontrib>Chahan, Bayin</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Ticks and tick-borne diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yang</au><au>Shi, Qianyun</au><au>Laven, Richard</au><au>Li, Caishan</au><au>He, Wenwen</au><au>Zheng, Huizhen</au><au>Liu, Shifang</au><au>Lu, Mingmin</au><au>Yang, Danchen Aaron</au><au>Guo, Qingyong</au><au>Chahan, Bayin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and genetic diversity of Theileria equi from horses in Xinjiang Uygur Autonomous region, China</atitle><jtitle>Ticks and tick-borne diseases</jtitle><addtitle>Ticks Tick Borne Dis</addtitle><date>2023-07</date><risdate>2023</risdate><volume>14</volume><issue>4</issue><spage>102193</spage><epage>102193</epage><pages>102193-102193</pages><artnum>102193</artnum><issn>1877-959X</issn><eissn>1877-9603</eissn><abstract>Theileria equi is a tick-borne intracellular apicomplexan protozoan parasite that causes equine theileriosis (ET). ET is an economically important disease with a worldwide distribution that significantly impacts international horse movement. Horses are an essential part of the economy in Xinjiang which is home to ∼10% of all the horses in China. However, there is very limited information on the prevalence and genetic complexity of T. equi in this region. Blood samples from 302 horses were collected from May to September 2021 in Ili, Xinjiang, and subjected to PCR examination for the presence of T. equi. In addition, a Bayesian latent class model was employed to estimate the true prevalence of T. equi, and a phylogenetic analysis was carried out based on the 18S rRNA gene of T. equi isolates. Seventy-two horses (23.8%) were PCR positive. After accounting for the imperfect PCR test using a Bayesian latent class model, the estimated true prevalence differed considerably between age groups, being 10.8% (95%CrI: 5.8% - 17.9%) in ≤ 3-year-old horses and 35.7% (95%CrI: 28.1% - 44.5%) in horses that were > 3 year-old. All T. equi isolates had their 18S rRNA gene (430bp) sequenced and analyzed in order to identify whether there were multiple genotypes of T. equi in the Xinjiang horse population. All of the 18S rRNA genes clustered into one phylogenetic group, clade E, which is thus probably the dominant genotype of T. equi in Xinjiang, China. To summarize, we monitored the prevalence of T. equi in horses of Xinjiang, China, with a focus on the association between age and the occurrence of T. equi by Bayesian modelling, accompanied by the genotyping of T. equi isolates. Obtaining the information on genotypes and age structure is significant in monitoring the spread of T. equi and studying the factors responsible for the distribution.
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subjects | Animals Babesiosis - epidemiology Bayes Theorem Bayesian modelling Cattle Equine, Theileria equi Genetic Variation Genotype Horse Diseases - diagnosis Horses Molecular epidemiology Phylogeny Prevalence Theileria Theileriasis - parasitology |
title | Prevalence and genetic diversity of Theileria equi from horses in Xinjiang Uygur Autonomous region, China |
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