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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2024.1474519</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pathogenetic identification in ticks and yaks from Zoige County, China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Xiang</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2807083"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>He</surname>
<given-names>Liang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhu</surname>
<given-names>Liangquan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Xiao</surname>
<given-names>Chendong</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Pan</surname>
<given-names>Yao</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Tianxiang</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Dongbo</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hao</surname>
<given-names>Lili</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>College of Animal Science and Veterinary Medicine, Southwest Minzu University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Animal Experiment Center, Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Bacterial Biologics, China Institute of Veterinary Drug Control (IVDC)</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Center for Animal Disease Control and Prevention in Xiangcheng County, Xiangcheng County Bureau of Agriculture, Animal Husbandry, Rural Affairs, and Science and Technology</institution>, <addr-line>Xiangcheng</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Public Health Department, Animal Husbandry Science Institute of Ganzi Tibetan Autonomous Prefecture</institution>, <addr-line>Kangding</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Center for Animal Disease Control and Prevention in Zoige County, Science and Technology and Agricultural and Animal Husbandry Bureau in Zoige County, Sichuan Ngawa Tibetan and Qiang Autonomous Prefecture</institution>, <addr-line>Zoige</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Guangxi Buffalo Research Institute, Chinese Academy of Agricultural Science</institution>, <addr-line>Nanning</addr-line>, <country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Public Health Department, Center for Animal Disease Control and Prevention in Sichuan Province</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Qiang Zhang, Huazhong Agricultural University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Tammi Johnson, Texas A&amp;M AgriLife Center at Uvalde, United States</p>
<p>Yonggen Jia, Capital Medical University, China</p>
<p>Zenglei Wang, Chinese Academy of Medical Sciences &amp; Peking Union Medical College, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Lili Hao, <email xlink:href="mailto:leelee_hao@126.com">leelee_hao@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>10</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1474519</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>09</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Xiang, He, Zhu, Xiao, Pan, Chen, Zheng, Yuan and Hao</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Xiang, He, Zhu, Xiao, Pan, Chen, Zheng, Yuan and Hao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background:</title>
<p>Ticks represent a significant vector for the transmission of infectious diseases, with the prevalence of tick-borne diseases becoming a prominent global health concern in recent decades. <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp., and Piroplasma have been identified as significant pathogens with the potential to impact human and animal health. However, there is a dearth of data concerning the prevalence of these pathogens in the eastern Tibetan Plateau, China.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this study, a total of 643 <italic>Dermacentor silvarum</italic> and 314 <italic>Haemaphysalis longicornis</italic> were identified through the application of morphological and molecular identification techniques on 957 ticks collected from yaks in Zoige County. The assessed of <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp., <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp. was assessed in 957 ticks and 96 blood samples collected from yaks.</p>
</sec>
<sec>
<title>Results</title>
<p>Significant discrepancies were observed in the positivity rates for the four pathogens among the tick species and sampling sites. The identification of different species within the four pathogens was based on the analysis of the 16S rRNA of <italic>Anaplasma</italic> spp., the <italic>ompA</italic> and <italic>ompB</italic> genes of <italic>Rickettsia</italic> spp., and the 18S rRNA of <italic>Theileria</italic> spp. and <italic>Babesia</italic> spp. The prevalence ranges of the four pathogens are 9.9-50.2%, 29.5-100%, 16.2-46.4%, and 14.5-58.4%, respectively.</p>
</sec>
<sec>
<title>Conclusion</title> <p>In view of the growing zoonotic risks, further investigations into the prevalence of additional pathogens in ticks and animals, including livestock, in the eastern Tibetan Plateau, China, are essential.</p>
</sec>
</abstract>
<kwd-group>
<kwd>
<italic>Anaplasma</italic> spp.</kwd>
<kwd>
<italic>Rickettsia</italic> spp.</kwd>
<kwd>Piroplasma</kwd>
<kwd>tick</kwd>
<kwd>yak (<italic>Bos grunniens</italic>)</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="10"/>
<word-count count="4524"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Veterinary and Zoonotic Infection</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Ticks are significant vectors of infectious diseases, and they are recognized for their ability to sojourn on a variety of host species and transmit a variety of pathogens that can infect various vertebrate hosts, including humans. Anaplasmosis is the causative agent of tick-borne diseases, which have a significant impact on human and animal health (<xref ref-type="bibr" rid="B4">Buysse et&#xa0;al., 2024</xref>). The impact of anaplasmosis on the health and productivity of domestic animals has been well documented for over a century, and it remains a significant contributor to economic losses in the livestock farming industry. A minimum of seven species have been identified, including <italic>A. marginale</italic>, <italic>A.</italic> centrale, <italic>A. ovis</italic>, <italic>A. phagocytophilum</italic>, <italic>A. bovis</italic>, <italic>A. capra</italic>, and <italic>A. platys</italic>. It has been established through documented evidence that <italic>A. ovis</italic>, <italic>A. phagocytophilum</italic>, and <italic>A. capra</italic> have the potential to infect humans (<xref ref-type="bibr" rid="B5">Chochlakis et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B18">Lee et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Li et&#xa0;al., 2015</xref>). Furthermore, novel <italic>Anaplasma</italic> species have been identified. In Japan, a potentially novel <italic>Anaplasma</italic> spp. was identified in a sika deer, exhibiting genetic divergence in the 16S rRNA, <italic>gltA</italic> and <italic>groEL</italic> genes from all known <italic>Anaplasma</italic> spp (<xref ref-type="bibr" rid="B39">Yba&#xf1;ez et&#xa0;al., 2012</xref>). The genus <italic>Rickettsia</italic> is an important vector-borne disease that has emerged or re-emerged globally and has increasingly posed a challenge to public health services. <italic>Rickettsia</italic> species are classified internationally into four groups: the spotted fever group (SFG), the transitional group (TRG), the ancestral group (AG), and the typhus group (TG). The SFG is the most diverse and geographically widespread group of known <italic>Rickettsiae</italic>. In China, a considerable proportion of SFG rickettsiosis have been identified as belonging to the <italic>R. sibirica</italic> group. Furthermore, additional <italic>Rickettsia</italic> species that are known to cause SFG rickettsiosis have also been identified, including <italic>R. heilongjiangensis</italic>, <italic>R. sibirica</italic>, <italic>R. raoultii</italic>, <italic>R. slovaca</italic>, <italic>R. felis</italic>, <italic>R. aeschlimannii</italic> and <italic>R. massiliae</italic> (<xref ref-type="bibr" rid="B38">Wei et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B13">Guo et&#xa0;al., 2016</xref>). The pathogens belonging to the genus <italic>Theileria</italic> and <italic>Babesia</italic> are among the most extensively researched parasites, due to the factors of their extensive geographical distribution, wide host range, and significant impact on public and animal health. Transmission occurs via the primary vectors, ixodid ticks, with disease outbreaks resulting in mortality, damage to hides, and poor production (<xref ref-type="bibr" rid="B19">Lempereur et&#xa0;al., 2017</xref>). Up to now, Theileria is only found in animals. In contrast to <italic>Theileria</italic>, three <italic>Babesia</italic> species have been identified as the causative agents of disease. These include <italic>B. divergens</italic>, <italic>B. venatorum</italic>, and <italic>B. microti</italic> with asymptomatic or mild but severe disease being predominantly observed in asplenic or immunocompromised individuals.</p>
<p>Nevertheless, there is a paucity of literature on the prevalence of these pathogens and their vectors in the eastern Tibetan Plateau, particularly in Zoige County (<xref ref-type="bibr" rid="B37">Wang et&#xa0;al., 2012</xref>). The Zoige region is home to the largest population of local livestock, namely yaks (<italic>Bos grunniens</italic>), which number approximately 800,000 individuals. These yaks represent the primary economic source for the local residents, providing dairy products, meat, and other by-products (<xref ref-type="bibr" rid="B36">Tang et&#xa0;al., 2019</xref>). The traditional lifestyle of the local population has resulted in a lack of timely deworming, which has led to the observation of severe tick infestation in yaks (<xref ref-type="bibr" rid="B36">Tang et&#xa0;al., 2019</xref>). Consequently, the objective of this study is to investigate the prevalence of <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp., <italic>Theileria</italic> spp. and <italic>Babesia</italic> spp. in ticks and yaks in Zoige County, providing preliminary data for the further control of transmission of diseases.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Sample collection and identification of ticks</title>
<p>The research was conducted in 16 meadows situated in the villages of Jiangzha (longitude, 102.819; latitude, 34.176; altitude, 3373 m), Qiuji (longitude, 103.364; latitude 33.703; altitude, 2673 m), Hongxing (longitude, 102.734; latitude, 34.144; altitude, 3513 m), and Baxi (longitude, 103.240; latitude 33.634; altitude, 3212 m) in Zoige County, Sichuan Province, China, from 7 April to 26 September 2020. Approximately three to five yaks were selected from each meadow, with five to six ticks collected from each yak. The feeding ticks were identified based on their morphological characteristics, with the aid of standard taxonomic keys (<xref ref-type="bibr" rid="B7">Deng and Jiang, 1991</xref>). Prior to polymerase chain reaction (PCR) amplification, during which the COI gene was targeted (<xref ref-type="bibr" rid="B12">Folmer et al., 1994</xref>), the ticks were stored in 70% ethanol at 4&#xb0;C. In addition, a total of 96 blood samples were obtained from the yaks, with four yaks sampled from each of the six randomly selected meadows in each village. All blood samples were stored at -20&#xb0;C until further use. Further details regarding the collection of tick and blood samples can be found in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Materials</bold>
</xref> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>DNA extraction and PCR amplification</title>
<p>Each tick was subjected to individual DNA extraction using a DP304 TIANamp Genomic DNA Kit (TIANGEN Biotech Co., Ltd., Beijing, China), in accordance with the manufacturer&#x2019;s instructions. Genomic DNA was extracted from all blood samples using an EE121-11 Blood Genomic DNA Kit (Transgen Biotech Co., Ltd., Beijing, China). All genomic DNAs were stored at -20&#xb0;C until analysis was conducted. Nested polymerase chain reaction (nPCR) amplification was conducted in accordance with previously published criteria targeting the 16S ribosomal RNA (rRNA) of <italic>Anaplasma</italic> spp., the 18S rRNA of <italic>Theileria</italic> spp. and <italic>Babesia</italic> spp., and the outer membrane protein A (<italic>ompA</italic>) and the outer membrane protein B (<italic>ompB</italic>) genes of <italic>Rickettsia</italic> spp (<xref ref-type="bibr" rid="B30">Raoult et&#xa0;al., 2005</xref>). The primer sequences are provided in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The initial screening of ticks and blood samples was conducted using the <italic>Rickettsia</italic> spp. <italic>ompA</italic> gene. Subsequently, samples that tested positive for the <italic>ompA</italic> gene were subjected to further screening for the <italic>ompB</italic> gene in accordance with the established criteria for <italic>Rickettsia</italic> species (<xref ref-type="bibr" rid="B28">Oteo et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B10">Fern&#xe1;ndez et&#xa0;al., 2013</xref>). The reaction mixture comprised 2 &#x3bc;L of template DNA, 12.5 &#x3bc;L of 2 &#xd7; PCR mix (TransGen Biotech Co., Ltd., Beijing, China, Cat No: AS111), and 20 pmol of each primer (Sangon Biotech Co., Ltd., Shanghai, China). The initial denaturation was performed at 95&#xb0;C for three minutes, 40 cycles of denaturation at 94&#xb0;C for 30 seconds, annealing at 55&#xb0;C for 30 seconds, and elongation at 72&#xb0;C for 55 seconds. Subsequently, a final extension step was conducted at 72&#xb0;C for seven minutes. The PCR products were electrophoresed on a 1.2% agarose gel mixed with Liuyi (Beijing Liuyi Biotechnology Co., Ltd., China), and the expected bands were visualized using a UV transilluminator. The observed bands were purified using the QIAquick Gel Extraction Kit and sent for sequencing (Sangon Biotech Shanghai Co., Ltd.).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Primer sequences used for tick, <italic>Anaplasma</italic> spp., <italic>Theileria</italic> spp., <italic>Babesia</italic> spp. and <italic>Rickettsia</italic> spp. Identification.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Target gene</th>
<th valign="middle" align="left">Primer sequence (5&#x2019;-3&#x2019;)</th>
<th valign="middle" align="left">Product (bp)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>COI</italic>
</td>
<td valign="top" align="left">LCO1490: GGTCAACAAATCATAAAGATATTGG<break/>HCO2198: TAAACTTCAGGGTGACCAAAAAATCA</td>
<td valign="top" align="left">658</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">16S rRNA (<italic>Anaplasma</italic> spp.)</td>
<td valign="top" align="left">EE1: TCCTGGCTCAGAACGAACGCTGGCGGC<break/>EE2: AGTCACTGACCCAACCTTAAATGGCTG</td>
<td valign="top" align="left">1433</td>
</tr>
<tr>
<td valign="top" align="left">EE3: TACCTCTGTGTTGTAGCTAACGC<break/>EE4: CTTGCGACATTGCAACCTATTGT</td>
<td valign="top" align="left">426</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">
<italic>OmpA</italic>
<break/>(<italic>Rickettsia</italic> spp.)</td>
<td valign="top" align="left">Rr190k.71p: TGGCCAATATTTCTCCAAAA<break/>Rr190k.720n: TGCATTTGTATTACCTATTGT</td>
<td valign="top" align="left">650</td>
</tr>
<tr>
<td valign="top" align="left">Rr190.70p: ATGGCGAATATTTCTCCAAAA<break/>Rr190.602n: AGTGCAGCATTCGCTCCCCCT</td>
<td valign="top" align="left">530</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">
<italic>OmpB</italic>
<break/>(<italic>Rickettsia</italic> spp.)</td>
<td valign="top" align="left">OmpB.4362: GTCAGCGTTACTTCTTCGATGC<break/>OmpB.4836: CCGTACTCCATCTTAGCATCAG</td>
<td valign="top" align="left">475</td>
</tr>
<tr>
<td valign="top" align="left">OmpB.4496: CCAATGGCAGGACTTAGCTACT<break/>OmpB.4762: AGGCTGGCTGATACACGGAGTAA</td>
<td valign="top" align="left">267</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">18S rRNA<break/>(<italic>Theileria</italic> spp.)</td>
<td valign="top" align="left">LTF: GATAACCGTGCTAATTGTAGG<break/>LTR: ATCGTCTTCGATCCCCTAACT</td>
<td valign="top" align="left">843</td>
</tr>
<tr>
<td valign="top" align="left">LTF2: AATTGTAGGGCTAATACATGTTCG<break/>LTR2: GAAAACATCCTTGGCAAATGCTTTCGC</td>
<td valign="top" align="left">760</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">18S rRNA<break/>(<italic>Babesia</italic> spp.)</td>
<td valign="top" align="left">B1200F: GGAATGATGGYGACBTAAACCCTCA<break/>B1200R: CTTCCCTAGGCNAARCCGACGAAT</td>
<td valign="top" align="left">1200</td>
</tr>
<tr>
<td valign="top" align="left">B1200F: GGAATGATGGYGACBTAAACCCTCA<break/>B1000R: GGCATTCCTCGTTCATGATTTAG</td>
<td valign="top" align="left">1000</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Molecular phylogenetic analyses</title>
<p>The sequences were subjected to analysis and comparison using the DNASTAR v.7.1.0 software. The nucleotide sequences were analyzed using the BLAST tool, as previously described by <xref ref-type="bibr" rid="B33">Sayers et&#xa0;al. (2021)</xref>, in order to compare them with sequences deposited in GenBank (<xref ref-type="bibr" rid="B3">Benson et&#xa0;al., 2002</xref>). Phylogenetic trees were constructed using the Neighbor-Joining method in MEGA 6 software, based on the <italic>COI</italic>, 16S rRNA, 18S rRNA, <italic>ompA</italic> and <italic>ompB</italic> genes, respectively. The evolutionary distance was calculated using the Kimura 2-parameter method with 1,000 bootstrap replicates.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistics</title>
<p>The prevalence of <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp. <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp. was found to be statistically significant (<italic>p</italic>-value&lt; 0.01) when analyzed according to the different sampling locations, tick species, or yaks, as determined by a Pearson Chi-square test, conducted using SPSS 19.0 (IBM, New York, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Species identification and distribution of ticks collected from yaks</title>
<p>A total of 957 adult ticks were collected from the villages of Jiangzha, Qiuji, Hongxing, and Baxi in Zoige County, Sichuan Province, China. The number of ticks collected from each of the villages of Qiuji, Jiangzha, Hongxing, and Baxi was 241, 240, 243, and 233, respectively. A total of 643 ticks were preliminarily identified as <italic>Dermacentor silvarum</italic>, while a total of 314 ticks were identified as <italic>Haemaphysalis longicornis</italic> based on the morphological characteristics of the ticks (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>). In addition, a total of five distinct <italic>COI</italic> sequences (denoted as <italic>D. silvarum</italic> JZ, <italic>D. silvarum</italic> BX, <italic>D. silvarum</italic> HX1, <italic>D. silvarum</italic> HX2, and <italic>H. longicornis</italic>) were identified through multiple sequence alignment. The combination of morphological and <italic>COI</italic> gene identification confirmed the presence of two distinct tick species, belonging to the <italic>D. silvarum</italic> and <italic>H. longicornis</italic> (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Consequently, the ticks belonging to <italic>D. silvarum</italic> were present in all four villages. However, another species was only identified in Qiuji village (146) and Jiangzha village (168). The prevalence of <italic>D. silvarum</italic> was found to be higher in Qiuji village (39.4%) than in Jiangzha village (30.0%) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Species identification and distribution of ticks: <bold>(A)</bold> the morphological characteristics of ticks belonging to the <italic>H. longicornis</italic> (Collected from Qiuji in 2020); <bold>(B)</bold> the morphological characteristics of ticks belonging to the <italic>D. silvarum</italic> (Collected from Jiangzha in 2020); <bold>(C)</bold> Molecular identification and phylogenetic analysis of ticks base on the <italic>COI</italic> gene. MEGA 6 software was used to infer the tree by using the neighbor-joining method with Kimura&#x2019;s two-parameter model. Support for each branch, as deter-mined from 1000 bootstrap samples, is indicated by percentages at nodes (only values &gt; 60% are indicated). Triangle and serial number in the figure indicate the distinct sequence in our study. Bar, 0.05 substitutions per nucleotide position; <bold>(D)</bold> distribution characteristics of ticks in different villages.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1474519-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Pathogens and occurrence in ticks and yaks</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Pathogens in ticks</title>
<p>A total of four pathogens, including <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp., <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp., were identified in ticks from four villages, with an average positive rate of 29.8% (168/957), 64.6% (618/957), 30.1% (288/957) and 37.6% (360/957), respectively (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). All four pathogens were identified in both <italic>D. silvarum</italic> and <italic>H. longicornis</italic>. Significant differences were observed in the positive rates for <italic>Anaplasma</italic> spp. (<italic>&#x3c7;<sup>2</sup>
</italic> = 12.506, <italic>df</italic> = 1), <italic>Rickettsia</italic> spp. (<italic>&#x3c7;<sup>2</sup>
</italic> = 138.55, <italic>df</italic> = 1, <italic>P</italic> &lt; 0.01), <italic>Theileria</italic> spp. (<italic>&#x3c7;<sup>2</sup>
</italic> = 42.625, <italic>df</italic> = 1, <italic>P</italic> &lt; 0.01), and <italic>Babesia</italic> spp. (<italic>&#x3c7;<sup>2</sup>
</italic> = 56.993, <italic>df</italic> = 1, <italic>P</italic> &lt; 0.01) among the two tick species. The infection rates of <italic>Rickettsia</italic> spp. in ticks were found to be significantly higher than that of the other pathogens (<italic>&#x3c7;<sup>2</sup>
</italic> = 322.109, <italic>df</italic> = 3, <italic>P</italic> &lt; 0.01). The infection rates of <italic>Rickettsia</italic> spp. were 77.3% and 38.5% in <italic>H. longicornis</italic> and <italic>D. silvarum</italic>, respectively. Significant differences were observed in the infection rates of <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp., <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp. in ticks across the four villages (<italic>&#x3c7;<sup>2</sup>
</italic> = 322.109, <italic>df</italic> = 3, <italic>P</italic> &lt; 0.01). In general, the highest positive rates for <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp., <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp. were observed in Baxi village, with positive rates of 50.2% (<italic>&#x3c7;<sup>2</sup>
</italic> = 112.213, <italic>df</italic> = 3, <italic>P</italic> &lt;, <italic>P</italic> &lt; 0.01), 100.0% (<italic>&#x3c7;<sup>2</sup>
</italic> = 154.454, <italic>df</italic> = 3, <italic>P</italic> &lt; 0.01), 46.4% (<italic>&#x3c7;<sup>2</sup>
</italic> = 23.179, <italic>df</italic> = 3, <italic>P</italic> &lt; 0.01) and 58.4% (<italic>&#x3c7;<sup>2</sup>
</italic> = 67.646, <italic>df</italic> = 3, <italic>P</italic> &lt; 0.01), respectively. The lowest positive rates for <italic>Anaplama</italic> spp., <italic>Rickettsia</italic> spp., <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp. were observed in Qiuji village, with positive rates of 10.0%, 29.5%, 16.2%, and 14.5%, respectively.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Pathogens and occurrence in ticks from four villages.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Location</th>
<th valign="middle" align="center">Pathogen</th>
<th valign="middle" align="center">Qiuji</th>
<th valign="middle" align="center">Jiangzha</th>
<th valign="middle" align="center">Hongxing</th>
<th valign="middle" align="center">Baxi</th>
<th valign="top" align="center">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">
<italic>Dermacentor silvarum</italic>
</td>
<td valign="middle" align="left">
<italic>Anaplasma</italic> spp.</td>
<td valign="middle" align="center">17.9%<break/>(17/95)</td>
<td valign="middle" align="center">13.9%<break/>(10/72)</td>
<td valign="middle" align="center">9.9%<break/>(24/243)</td>
<td valign="middle" align="center">
<bold>50.2%</bold>
<break/>(117/233)</td>
<td valign="top" align="center">26.1%<break/>(168/643)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Rickettsia</italic> spp.</td>
<td valign="middle" align="center">52.6%<break/>(50/95)</td>
<td valign="middle" align="center">94.4%<break/>(68/72)</td>
<td valign="middle" align="center">60.1%<break/>(146/243)</td>
<td valign="middle" align="center">
<bold>100%</bold>
<break/>(233/233)</td>
<td valign="top" align="center">77.3%<break/>(497/643)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Theileria</italic> spp.</td>
<td valign="middle" align="center">20.0%<break/>(19/95)</td>
<td valign="middle" align="center">27.8%<break/>(20/72)</td>
<td valign="middle" align="center">37.0%<break/>(90/243)</td>
<td valign="middle" align="center">
<bold>46.4%</bold>
<break/>(108/233)</td>
<td valign="top" align="center">36.9%(237/643)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Babesia</italic> spp.</td>
<td valign="middle" align="center">15.8%<break/>(15/95)</td>
<td valign="middle" align="center">23.6%<break/>(17/72)</td>
<td valign="middle" align="center">52.3%<break/>(127/243)</td>
<td valign="middle" align="center">
<bold>58.4%</bold>
<break/>(136/233)</td>
<td valign="top" align="center">45.9%<break/>(295/643)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">
<italic>Haemaphysalis longicornis</italic>
</td>
<td valign="middle" align="left">
<italic>Anaplasma</italic> spp.</td>
<td valign="middle" align="center">4.8%<break/>(7/146)</td>
<td valign="middle" align="center">65.5%<break/>(110/168)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="top" align="center">37.3%<break/>(117/314)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Rickettsia</italic> spp.</td>
<td valign="middle" align="center">14.4%<break/>(21/146)</td>
<td valign="middle" align="center">59.5%<break/>(100/168)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="top" align="center">38.5%<break/>(121/314)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Theileria</italic> spp.</td>
<td valign="middle" align="center">13.7%<break/>(20/146)</td>
<td valign="middle" align="center">18.5%<break/>(31/168)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="top" align="center">16.2%<break/>(51/314)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Babesia</italic> spp.</td>
<td valign="middle" align="center">13.7%<break/>(20/146)</td>
<td valign="middle" align="center">26.8%<break/>(45/168)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="top" align="center">20.7%<break/>(65/314)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Total</td>
<td valign="middle" align="left">
<italic>Anaplasma</italic> spp.</td>
<td valign="middle" align="center">10.0%<break/>(24/241)</td>
<td valign="middle" align="center">50.0%<break/>(120/240)</td>
<td valign="middle" align="center">9.9%<break/>(24/243)</td>
<td valign="middle" align="center">50.2%<break/>(117/233)</td>
<td valign="top" align="center">29.8%<break/>(285/957)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Rickettsia</italic> spp.</td>
<td valign="middle" align="center">29.5% (71/241)</td>
<td valign="middle" align="center">70.0%<break/>(168/240)</td>
<td valign="middle" align="center">60.1%<break/>(146/243)</td>
<td valign="middle" align="center">100% (233/233)</td>
<td valign="top" align="center">64.6%<break/>(618/957)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Theileria</italic> spp.</td>
<td valign="middle" align="center">16.2%<break/>(39/241)</td>
<td valign="middle" align="center">21.3%<break/>(51/240)</td>
<td valign="middle" align="center">37.0%<break/>(90/243)</td>
<td valign="middle" align="center">46.4%<break/>(108/233)</td>
<td valign="top" align="center">30.1%<break/>(288/957)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Babesia</italic> spp.</td>
<td valign="middle" align="center">14.5%<break/>(35/241)</td>
<td valign="middle" align="center">25.8%<break/>(62/240)</td>
<td valign="middle" align="center">52.3%<break/>(127/243)</td>
<td valign="middle" align="center">58.4%<break/>(136/233)</td>
<td valign="top" align="center">37.6%<break/>(360/957)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold means extremely significant difference between the treatments in the same line (P&lt; 0.01).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Pathogens in yaks</title>
<p>The infection rates of <italic>Anaplasma</italic> spp. in yaks collected from Qiuji, Jiangzha, Hongxing, and Baxi village were 41.7%, 41.7%, 58.3%, and 70.8%, respectively (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). In contrast, <italic>Rickettsia</italic> positive yaks were only found in Qiuji, and had an infection prevalence of 12.5%. <italic>Theileria</italic> positive yaks collected from Qiuji, Jiangzha, Hongxing, and Baxi village were 50.0%, 37.5%, 62.5%, and 58.3%, respectively. In contrast, <italic>Babesia</italic> positive yaks in the same villages were 37.5%, 33.3%, 54.2%, and 70.8%, respectively.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Pathogens and occurrence in yaks from four villages.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Location</th>
<th valign="middle" align="center">
<italic>Anaplasma</italic> spp.</th>
<th valign="middle" align="center">
<italic>Rickettsia</italic> spp.</th>
<th valign="middle" align="center">
<italic>Theileria</italic> spp.</th>
<th valign="middle" align="center">
<italic>Babesia</italic> spp.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Qiuji</td>
<td valign="middle" align="center">41.7%(10/24)</td>
<td valign="middle" align="center">12.5%(3/24)</td>
<td valign="middle" align="center">50.0%(12/24)</td>
<td valign="top" align="center">37.5%(9/24)</td>
</tr>
<tr>
<td valign="middle" align="center">Jiangzha</td>
<td valign="middle" align="center">41.7%(10/24)</td>
<td valign="middle" align="center">0(0/24)</td>
<td valign="middle" align="center">37.5%(9/24)</td>
<td valign="top" align="center">33.3%(8/24)</td>
</tr>
<tr>
<td valign="middle" align="center">Hongxing</td>
<td valign="middle" align="center">58.3%(14/24)</td>
<td valign="middle" align="center">0(0/24)</td>
<td valign="middle" align="center">58.3%(14/24)</td>
<td valign="top" align="center">54.2%(13/24)</td>
</tr>
<tr>
<td valign="middle" align="center">Baxi</td>
<td valign="middle" align="center">
<bold>70.8%(17/24)</bold>
</td>
<td valign="middle" align="center">0(0/24)</td>
<td valign="middle" align="center">
<bold>62.5%(15/24)</bold>
</td>
<td valign="top" align="center">
<bold>70.8%(17/24)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">53.1%(51/96)</td>
<td valign="middle" align="center">
<bold>3.1%(3/96)</bold>
</td>
<td valign="middle" align="center">52.1%(50/96)</td>
<td valign="top" align="center">49.0%(47/96)</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>&#x3c7;<sup>2</sup>
</italic>
</td>
<td valign="middle" align="center">5.814</td>
<td valign="middle" align="center">9.290</td>
<td valign="middle" align="center">3.506</td>
<td valign="top" align="center">8.462</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>P</italic>
</td>
<td valign="middle" align="center">0.121</td>
<td valign="middle" align="center">0.026</td>
<td valign="middle" align="center">0.320</td>
<td valign="top" align="center">0.037</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold means extremely significant difference between the treatments in the same line (P&lt; 0.01).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Phylogeny of <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp. <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp.</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>
<italic>Anaplasma</italic> spp. in ticks and yaks</title>
<p>A total of five distinct 16S rDNA sequences were identified from the positively identified samples through multiple sequence alignment. The aforementioned sequences were designated as PP238077, PP140914, PP140915, PP140916, and PP140917. The PP238077, PP140914, PP140915, PP140917 and PP140916 sequences exhibited a high degree of similarity (99.4-100%) to <italic>A. ovis</italic> (PP140913), <italic>A. ovis</italic> str. Haibei (CP015994), <italic>A. capra</italic> (OQ701066), <italic>A. bovis</italic> (KY425441), and <italic>A. phagocytophilum</italic> (MT498088) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). It can thus be posited that the <italic>Anaplasma</italic> spp. may be implicated in five species (<italic>A. capra</italic>, <italic>A. bovis</italic>, <italic>A. ovis</italic>, <italic>A. phagocytophilum</italic>, and <italic>A.</italic> sp.), which have been identified in infected ticks and yaks.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Phylogeny of <italic>Anaplasma</italic> spp. in ticks and yaks. MEGA 6 software was used to infer the tree by using the neighbor-joining method with Kimura&#x2019;s two-parameter model. Support for each branch, as deter-mined from 1000 bootstrap samples, is indicated by percentages at nodes (only values &gt; 60% are indicated). Triangle and serial number in the figure indicate the distinct sequence in our study. Bar, 0.1 substitutions per nucleotide position.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1474519-g002.tif"/>
</fig>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>
<italic>Rickettsia</italic> spp. in ticks and yaks</title>
<p>A total of six distinct sequences of <italic>ompA</italic> and <italic>ompB</italic> amplicons from the samples that had been identified as positive were identified through multiple sequence alignments. The aforementioned sequences were subsequently designated as PP155643-PP155645, PP319177-PP319179. The PP155643-PP155645 sequences were closely related to <italic>R. raoultii</italic> (JQ792148), Candidatus <italic>R. longicornii</italic> (MN026548), and <italic>R. massiliae</italic> (MZ851183) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). These sequences exhibited 99.8-100% sequence identity. With regard to the <italic>ompB</italic> gene, the sequences PP319177- PP319179 exhibited 100%, 99.4%, and 99.8% identical to Candidatus <italic>R. longicornii</italic> (MN026546), <italic>R. raoultii</italic> (ON515500), and <italic>R. massiliae</italic> (MZ851186), respectively. It can thus be posited that the <italic>Rickettsia</italic> spp. may be implicated in three species (<italic>R. massiliae</italic>, <italic>R. raoultii</italic>, and Candidatus <italic>R. longicornii</italic>), which have been identified in infected ticks and yaks.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Phylogeny of <italic>Rickettsia</italic> spp. in ticks and yaks, <bold>(A)</bold> <italic>ompA</italic> amplicons; <bold>(B)</bold> <italic>ompB</italic> amplicons. MEGA 6 software was used to infer the tree by using the neighbor-joining method with Kimura&#x2019;s two-parameter model. Support for each branch, as deter-mined from 1000 bootstrap samples, is indicated by percentages at nodes (only values &gt; 60% are indicated). Triangle and serial number in the figure indicate the distinct sequence in our study. Bar, 0.1 substitutions per nucleotide position.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1474519-g003.tif"/>
</fig>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>
<italic>Theileria</italic> spp. in ticks and yaks</title>
<p>A total of three distinct sequences of 18S rRNA of <italic>Theileria</italic> spp. were identified through multiple sequence alignments from the samples that had been positively identified. The aforementioned sequences were designated as PP140884-PP140886. The unique sequences (PP140884 and PP140886) exhibited 100% identity with KF559355 and KX115427 (<italic>T</italic>. <italic>sinensis</italic>), and PP140885 exhibited 100% identity with MG930120 and OR104981 (<italic>T</italic>. <italic>luwenshuni</italic>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). It can thus be posited that <italic>Theileria</italic> spp. may be implicated in two species (<italic>T</italic>. <italic>sinensis</italic> and <italic>T</italic>. <italic>luwenshuni</italic>), which have been identified in infected ticks and yaks.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Phylogeny of <italic>Theileria</italic> spp. in ticks and yaks. MEGA 6 software was used to infer the tree by using the neighbor-joining method with Kimura&#x2019;s two-parameter model. Support for each branch, as deter-mined from 1000 bootstrap samples, is indicated by percentages at nodes (only values &gt; 60% are indicated). Triangle and serial number in the figure indicate the distinct sequence in our study. Bar, 0.02 substitutions per nucleotide position.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1474519-g004.tif"/>
</fig>
</sec>
<sec id="s3_3_4">
<label>3.3.4</label>
<title>
<italic>Babesia</italic> spp. in ticks and yaks</title>
<p>A total of eight distinct sequences of 18S rRNA of <italic>Babesia</italic> spp. from the samples that had been positively identified were identified through multiple sequence alignment. The aforementioned sequences were subsequently designated as PP140735, PP140736, PP140737, PP140738, PP140739, PP140740, PP140741, and PP140742. Four distinct sequences (PP140735- PP140738) exhibited 98.6-99.3% identity to <italic>B. caballi</italic> (OR104968) with 100% coverage (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Additionally, four distinct sequences (PP140739-PP140742) were identified within the same cluster with <italic>B</italic>. <italic>bigemina</italic> (MH257723). It can thus be concluded that <italic>Babesia</italic> spp. may be involved in two species (<italic>B</italic>. <italic>bigemina</italic> and <italic>B. caballi</italic>), which have been identified in infected ticks and yaks.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Phylogeny of Babesia spp. in ticks and yaks. MEGA 6 software was used to infer the tree by using the neighbor-joining method with Kimura&#x2019;s two-parameter model. Support for each branch, as deter-mined from 1000 bootstrap samples, is indicated by percentages at nodes (only values &gt; 60% are indicated). Triangle and serial number in the figure indicate the distinct sequence in our study. Bar, 0.02 substitutions per nucleotide position.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1474519-g005.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>A total of 957 ticks infesting yaks were collected from the villages of Jiangzha, Qiuji, Hongxing, and Baxi in Zoige County, Sichuan Province, China. The combination of morphological and molecular identification techniques facilitates more precise identification of ticks, representing the most prevalent approach to parasite identification in current practice (<xref ref-type="bibr" rid="B9">Estrada-Pena et&#xa0;al., 2017</xref>). In this study, two species of ticks were identified: <italic>D. silvarum</italic> and <italic>H. longicornis</italic>. <italic>Dermacentor silvarum</italic> was the dominant species in four villages, whereas <italic>H. longicornis</italic> was only observed in Jiangzha and Qiuji. Previously, <italic>D. silvarum</italic> was documented in the northern hemisphere, with a range extending from 22&#xb0; N to 57&#xb0; N latitude (<xref ref-type="bibr" rid="B14">Guo et&#xa0;al., 2021</xref>). <italic>Dermacentor silvarum</italic> has been identified in 11 provinces, three autonomous regions, and one municipality of China, with a total of 290 counties and 34 prefectures (<xref ref-type="bibr" rid="B14">Guo et&#xa0;al., 2021</xref>). The initial report of the detection of <italic>D. silvarum</italic> in Sichuan province was published (<xref ref-type="bibr" rid="B23">Liu, 2021</xref>). As has been previously documented, <italic>D. silvarum</italic> is typically found near mountain ranges and exhibits a preference for deciduous and coniferous forests, as well as cultivated and shrubby vegetations (<xref ref-type="bibr" rid="B14">Guo et&#xa0;al., 2021</xref>). In this study, <italic>D. silvarum</italic> was identified at altitudes ranging from 2673 to 3513 meters and was observed to be located in grassland areas devoid of mountainous terrain in the vicinity. This constitutes a valuable addition to the known habitat of <italic>D. silvarum</italic>. Conversely, <italic>H. longicornis</italic> has been identified across a range of latitudes, from 18&#xb0; to 53&#xb0; in the Northern Hemisphere and from 16&#xb0; to 45&#xb0; in the Southern Hemisphere (<xref ref-type="bibr" rid="B42">Zhao et&#xa0;al., 2020</xref>). The species has been identified in all provinces of China (<xref ref-type="bibr" rid="B42">Zhao et&#xa0;al., 2020</xref>). In contrast to <italic>D. silvarum</italic>, <italic>H. longicornis</italic> was observed only in Qiuji and Jiazhang at altitudes below 3, 000 m. It was hypothesized that the most suitable habitat for <italic>H. longicornis</italic> would be coastal areas, with eastern North America identified as a particularly promising location (<xref ref-type="bibr" rid="B27">Namgyal et&#xa0;al., 2020</xref>). Nevertheless, our research has identified grassland as a suitable habitat for <italic>H. longicornis</italic>. This also represents a valuable addition to the habitat of <italic>H. longicornis</italic>. The primary hosts of <italic>D. silvarum</italic> were primarily domestic animals, including cattle, goats, and sheep (<xref ref-type="bibr" rid="B14">Guo et&#xa0;al., 2021</xref>). In contrast, a total of 77 species of animals have been identified as potential hosts of <italic>H. longicornis</italic> (<xref ref-type="bibr" rid="B42">Zhao et&#xa0;al., 2020</xref>). The findings of this research indicate that the yak is the optimal host for two tick species, with severe tick infestation frequently observed in Zoige. The Zoige County region is home to a considerable number of yaks, sheep, horses, <italic>Marmota himalayana</italic>, <italic>Lepus</italic> spp., <italic>Myospalax</italic> spp. and <italic>Ochotona</italic> spp., with a wide geographical range and a notable distribution (<xref ref-type="bibr" rid="B44">Zhou et&#xa0;al., 2021</xref>). To obtain more detailed information on tick hosts, it is recommended that tick samples should be collected from a variety of sources, including other animals, vegetation, and even the local community. The infection risk for humans and animals can be estimated by dragging blankets across grasslands to capture and calculate the numbers of unfed ticks in a given area (<xref ref-type="bibr" rid="B8">Edwards et&#xa0;al., 2022</xref>). The paucity of clinical cases reported or recorded can be attributed to the traditional lifestyle of the local community, particularly the practice of herding (<xref ref-type="bibr" rid="B36">Tang et al., 2019</xref>). This lifestyle renders them less likely to seek medical attention from a hospital unless they have a serious issue.</p>
<p>Ticks play a significant role in the transmission and propagation of a diverse array of serious zoonotic diseases, acting as vectors and reservoirs for a multitude of pathogens (<xref ref-type="bibr" rid="B1">Athni et&#xa0;al., 2021</xref>). A total of four genera of pathogens were identified in ticks and yaks: <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp., <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp., with at least two species detected in each genus, which represents a significant public health concern (<xref ref-type="bibr" rid="B25">Livengood et&#xa0;al., 2020</xref>). The extant literature indicates that <italic>Anaplasma</italic> spp. can be classified into several distinct categories, including <italic>A. ovis</italic>, <italic>A. phagocytophilum</italic>, <italic>A. capra</italic>, <italic>A. marginale</italic>, <italic>A. platys</italic>, <italic>A. bovis</italic> and <italic>A. centrale</italic>. Of these, <italic>A. ovis</italic>, <italic>A. phagocytophilum</italic>, and <italic>A. capra</italic> have been reported to infect humans (<xref ref-type="bibr" rid="B5">Chochlakis et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B18">Lee et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Li et&#xa0;al., 2015</xref>). In this study, five species were identified in infected ticks and yaks: <italic>A. capra</italic>, <italic>A. bovis</italic>, <italic>A. ovis</italic>, <italic>A. phagocytophilum</italic>, and <italic>A.</italic> spp. The prevalence of <italic>Rickettsiae</italic> spp. in <italic>D. silvarum</italic> was higher than that in <italic>H. longicornis</italic>. The highest prevalence was observed in Baxi, followed by Jiangzha, Hongxing, and Qiuji. In accordance with the established criteria for determining the <italic>Rickettsiae</italic> spp., three species (<italic>R. massiliae</italic>, <italic>R. raoultii</italic>, and Candidatus <italic>R. longicornii</italic>) were identified in infected ticks and yaks. The first isolation of <italic>R. raoultii</italic> from ticks was reported in Russia (<xref ref-type="bibr" rid="B32">Rydkina et&#xa0;al., 1999</xref>). Subsequent studies have identified the presence of this bacterium in at least 26 tick species belonging to seven genera, including <italic>Dermacentor</italic> (<xref ref-type="bibr" rid="B17">Jia et&#xa0;al., 2014</xref>), <italic>Haemaphysalis</italic> (<xref ref-type="bibr" rid="B20">Li et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B43">Zheng et&#xa0;al., 2018</xref>)<italic>, Amblyomma</italic> (<xref ref-type="bibr" rid="B29">Parola et&#xa0;al., 2013</xref>), <italic>Rhipicephalus</italic> (<xref ref-type="bibr" rid="B24">Liu et&#xa0;al., 2018</xref>), <italic>Ixodes</italic> (<xref ref-type="bibr" rid="B31">Rar et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B34">Shpynov et&#xa0;al., 2009</xref>), and <italic>Hyalomma</italic> (<xref ref-type="bibr" rid="B40">Yin et&#xa0;al., 2018</xref>). <italic>Rickettsia raoultii</italic> has been predominantly identified in <italic>Dermacentor</italic> spp. ticks across multiple countries in Europe (<xref ref-type="bibr" rid="B26">Mediannikov et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B37">Wang et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B11">Foldvari et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B35">Spitalska et&#xa0;al., 2012</xref>). Furthermore, <italic>R. massiliae</italic> was identified in ticks collected from yaks, indicating that the local area is a risk area for <italic>R. massiliae</italic> infection and that prevention and control of local ticks should be strengthened. <italic>Theileria sinensis</italic> was initially identified in 1995 by Bai Qi from cattle in the northwestern region of China (<xref ref-type="bibr" rid="B2">Bai et&#xa0;al., 1997</xref>). <italic>Theileria sinensis</italic> exhibits relatively weak pathogenicity, and is primarily reported in Asia, including China, Japan, and the Korean Peninsula. In 2020, the DNA of <italic>T. sinensis</italic> was identified in yaks in the neighboring regions of Hongyuan and Aba in Sichuan Province, China (<xref ref-type="bibr" rid="B15">Hao et&#xa0;al., 2020</xref>). <italic>Theileria luwenshuni</italic> was initially identified in sheep and goats, exhibiting high pathogenicity. It is widely distributed throughout most parts of China and is primarily transmitted by both <italic>H. longicornis</italic> and <italic>H. qinghaiensis</italic> (<xref ref-type="bibr" rid="B22">Li et&#xa0;al., 2007</xref>). Of the two <italic>Babesia</italic> species detected, <italic>B. bigemina</italic> is a globally distributed agent of bovine babesiosis. The current literature indicates that <italic>B. bigemina</italic> is present in at least five tick species, including <italic>R. microplus</italic>, <italic>R. decoloratus</italic>, <italic>R. annulatus</italic>, <italic>R. geigyi</italic> and <italic>R. evertsi</italic>. In China, <italic>B. bigemina</italic> has been predominantly documented in ticks (<italic>R. microplus</italic>) and domestic animals across numerous provinces including Qinghai, Gansu, Guangxi, Chongqing, Liaoning, Yunnan, Shandong, Henan, Hubei and Xinjiang (<xref ref-type="bibr" rid="B16">He et&#xa0;al., 2021</xref>). <italic>B. caballi</italic> is the pathogen responsible for equine babesiosis, which affects horses, donkeys and mules (<xref ref-type="bibr" rid="B6">Cui et&#xa0;al., 2024</xref>). It is primarily transmitted by ticks including <italic>D. silvarum</italic>, <italic>D. ralbipictus</italic>, <italic>D. nitens</italic>, <italic>D. reticulates</italic>, and <italic>H. truncatum</italic> (<xref ref-type="bibr" rid="B41">Zhang et&#xa0;al., 2021</xref>). The subsequent step is to investigate local horses, donkeys, mules, and other equine animals to ascertain the prevalence of <italic>B. caballi</italic> in the area.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>In the course of this study, two species of ticks (<italic>D. silvarum</italic> and <italic>H. longicornis</italic>) were identified through the application of morphological and molecular identification techniques. Furthermore, the phylogeny of these pathogens was explored encompassing <italic>Anaplasma</italic> spp., <italic>Rickettsia</italic> spp., <italic>Theileria</italic> spp., and <italic>Babesia</italic> spp. To gain a more comprehensive understanding of the infection risk for humans and animals, it would be beneficial to conduct a more detailed study of pathogens in other livestock and wildlife hosts from Zoige County in the future.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>This study was approved by the Animal Ethics Committee of Southwest Minzu University (approval no. AECSWU2020-07).</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>YX: Data curation, Formal Analysis, Investigation, Software, Writing &#x2013; original draft. LaH: Investigation, Software, Writing &#x2013; original draft. LZ: Funding acquisition, Methodology, Writing &#x2013; original draft. CX: Investigation, Writing &#x2013; original draft. YP: Investigation, Writing &#x2013; original draft. TC: Resources, Writing &#x2013; original draft. WZ: Methodology, Visualization, Writing &#x2013; review &amp; editing. DY: Resources, Writing &#x2013; original draft. LlH: Investigation, Methodology, Project administration, Resources, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was financially supported by the National Key Research and Development Program of China (2023YFD1801302) and the Fundamental Research Funds for the Central Universities, Southwest Minzu University (2024CXTD14).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to express their gratitude to the colleagues at the Center for Animal Disease Control and Prevention in Sichuan Province, Chengdu, for their assistance with sample collection.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2024.1474519/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2024.1474519/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.jpeg" id="SM1" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Tick sampling information.</p>
</caption>
</supplementary-material>
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