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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2023.1193162</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Veterinary Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Construction of a one-step multiplex real-time PCR assay for the detection of serogroups A, B, and E of <italic>Pasteurella multocida</italic> associated with bovine pasteurellosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Haojie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2200074/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xin</surname> <given-names>Lingxiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Yang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Yan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yao</surname> <given-names>Wensheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>He</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname> <given-names>Yunhao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tong</surname> <given-names>Rendong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhu</surname> <given-names>Liangquan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/412955/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>China Institute of Veterinary Drug Control</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese, Academy of Agricultural Sciences</institution>, <addr-line>Harbin</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Min Yue, Zhejiang University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Fangkun Wang, Shandong Agricultural University, China; Shaohui Wang, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Liangquan Zhu <email>1367391894&#x00040;qq.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1193162</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Wang, Xin, Wu, Liu, Yao, Zhang, Hu, Tong and Zhu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wang, Xin, Wu, Liu, Yao, Zhang, Hu, Tong and Zhu</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>
<p>Bovine pasteurellosis, caused by serogroups A, B, and E of <italic>Pasteurella multocida</italic> (Pm), is mainly manifested as bovine respiratory disease (BRD) and hemorrhagic septicemia (HS). The disease has caused a great economic loss for the cattle industry globally. Therefore, identifying the Pm serogroups is critical for optimal diagnosis and subsequent clinical treatment and even epidemiological studies. In this study, a one-step multiplex real-time PCR assay was established. Three pairs of specific primers were prepared to detect the highly conserved genomic regions of serogroups A (<italic>HyaD</italic>), B (<italic>bcbD</italic>), and E (<italic>ecbJ</italic>) of Pm, respectively. The results depicted that the method had no cross-reaction with other bovine pathogens (<italic>Mannheimia hemolytica, Escherichia coli, Listeria monocytogenes, Staphylococcus aureus, Salmonella Dublin, Mycobacterium paratuberculosis</italic>, infectious bovine rhinotracheitis virus, and <italic>Mycoplasma bovis</italic>). The linear range (10<sup>7</sup> to 10<sup>2</sup> copies/&#x003BC;L) showed the R<sup>2</sup> values for serogroups A, B, and E of Pm as 0.9975, 0.9964, and 0.996, respectively. The multiplex real-time PCR efficiency was 90.30%, 90.72%, and 90.57% for CartA, CartB, and CartE, respectively. The sensitivity result showed that the serogroups A, B, and E of Pm could be detected to be as low as 10 copies/&#x003BC;L. The repeatability result clarified that an intra-assay and an inter-assay coefficient of variation of serogroups A, B, and E of Pm was &#x0003C; 2%. For the clinical samples, the detection rate was higher than the OIE-recommended ordinary PCR. Overall, the established one-step multiplex real-time PCR assay may be a valuable tool for the rapid and early detection of the serogroups A, B, and E of Pm with high specificity and sensitivity.</p></abstract>
<kwd-group>
<kwd>bovine pasteurellosis</kwd>
<kwd><italic>Pasteurella multocida</italic></kwd>
<kwd>diagnosis</kwd>
<kwd>serogroup</kwd>
<kwd>one-step multiplex real-time PCR</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="8"/>
<equation-count count="1"/>
<ref-count count="45"/>
<page-count count="10"/>
<word-count count="6263"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Veterinary Experimental and Diagnostic Pathology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p><italic>Pasteurella multocida</italic> (Pm) is a Gram-negative bacterial pathogen in multi-host infections, including avian, cattle, and swine (<xref ref-type="bibr" rid="B1">1</xref>). In addition, Pm can be transmitted by mosquitoes, flies, or blood-sucking insects or by direct bites by cats, dogs, and other animals (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). It has even been reported that people might be infected by ill animals in an unknown manner, highlighting its potential threat to human health (<xref ref-type="bibr" rid="B4">4</xref>&#x02013;<xref ref-type="bibr" rid="B7">7</xref>). These diseases have caused huge economic losses to the cattle industry because of increased mortality, high treatment costs, reduced growth rate, and poor carcass quality (<xref ref-type="bibr" rid="B8">8</xref>). Pm can be classified into five serogroups (A, B, D, E, and F) based on the capsule antigen (K antigen) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Isolates in different serogroups are associated with different diseases in different host species (<xref ref-type="bibr" rid="B11">11</xref>). For example, the majority of cases of fowl cholera are caused by serogroups A of Pm, atrophic rhinitis of pigs is associated predominantly with serogroups D isolates, bovine and porcine pneumonia are associated mainly with serogroups A, and hemorrhagic septicemia of cattle and water buffaloes is caused exclusively by serogroups B and E isolates (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Bovine pasteurellosis, caused by serogroups A, B, and E of Pm, is mainly manifested as bovine respiratory disease (BRD) and hemorrhagic septicemia (HS) (<xref ref-type="bibr" rid="B12">12</xref>). Reports of other serogroups (D and F) isolated from cattle are rare (<xref ref-type="bibr" rid="B14">14</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>). In cattle, Pm infection usually results in BRD and HS. BRD is caused by serogroup A of Pm and is often co-infected with other pathogens such as <italic>M. hemolytica</italic> (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). The course of BRD can range from 3 days to 1 week with respiratory symptoms such as dry cough, dyspnea, and fibrinous types of pneumonia (<xref ref-type="bibr" rid="B12">12</xref>). HS is caused by serogroups B and E of Pm (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). HS shows high mortality for ill cattle with acute symptoms of high fever, diarrhea, and death within 12&#x02013;24 h (<xref ref-type="bibr" rid="B12">12</xref>). According to the rapid deterioration of the disease, early diagnosis and serogroup identification are beneficial to managing and controlling Pm infection.</p>
<p>Currently, the diagnosis of Pm mainly includes cultural and biochemical methods, serotyping methods, and molecular biological methods. Although cultural and biochemical methods are regarded as the &#x0201C;gold standard&#x0201D; for diagnosis, it needs to collect samples from animals in the late stage of disease for bacterial culture, and it is not very easy to make a definitive diagnosis only via microscopic observation. In addition, the serotyping methods based on the indirect hemagglutination test, agar gel immunodiffusion, and ELISA are of great significance for the epidemiological investigation and the study of pathogenic regularity (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). However, this method is highly complicated and requires high serum concentration and titer requirements. With the development of molecular biology, gene amplification is one of the most reliable methods to identify Pm. The multiplex PCR method based on the Pm capsule-encoding gene cluster or lipopolysaccharide exokaryon-encoding gene cluster makes it possible to quickly define the serogroup of Pm in the clinic (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). However, this method also has some drawbacks. The serogroup of some strains, which is defined as &#x0201C;untypable strain,&#x0201D; cannot be defined by this multiplex PCR assay (<xref ref-type="bibr" rid="B25">25</xref>&#x02013;<xref ref-type="bibr" rid="B27">27</xref>). In addition, multilocus sequence typing (MLST) based on nucleic acid sequencing can quickly define the serogroup of target bacteria (<xref ref-type="bibr" rid="B28">28</xref>). Currently, two online databases are mainly used to define the Pm serogroup: multiple host MLST Databases and RIRDC MLST Databases (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Moreover, next-generation sequencing is recently used for the direct diagnosis of Pm (<xref ref-type="bibr" rid="B31">31</xref>). Although faster and more convenient, the serotyping methods MLST and DNA sequencing are not commonly used in the clinic due to their higher costs.</p>
<p>The real-time PCR assay uses specific probes to identify the target sequence with high accuracy. At the same time, the target sequence was double controlled by the primer and the probe, with good specificity and a low false positive ratio. Compared to the conventional PCR assay, the real-time PCR assay has higher sensitivity, faster speed, high throughput, and direct quantification. In particular, it has been reported that the development of an HS real-time PCR assay has the advantage of detecting multiple sequence types (ST) of Pm in a short time compared to the MLST method (<xref ref-type="bibr" rid="B20">20</xref>). Moreover, a multiplex real-time PCR assay was developed for gene amplification and detection in the same tube to avoid contamination (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Currently, there is no report on a one-step multiplex real-time PCR assay for detecting serogroups A, B, and E of Pm associated with the bovine pasteurellosis.</p>
<p>As reported by previous studies, Pm can be categorized into five serogroups (A, B, D, E, and F) based on the capsule antigen, and the genes related to capsule formation could serve as reliable markers for serotyping of Pm (<xref ref-type="bibr" rid="B34">34</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>). It was found that, among all the genes related to capsular formation, <italic>hyaD, bcbD</italic>, and <italic>ecbJ</italic> proved to be specific targets to distinguish serogroups A, B, and E of Pm (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Therefore, we designed primers and probes using these three genes as specific targets to establish a multiplex real-time PCR method to simultaneously detect serogroups A, B, and E of Pm. The sensitivity, specificity, and repeatability of the method were proved, and the method was carried out for clinical application.</p></sec>
<sec id="s2">
<title>2. Materials and methods</title>
<sec>
<title>2.1. Bacterial strains, viruses, and cultures</title>
<p>Pm was cultured in Martin broth medium at 37&#x000B0;C, while <italic>Mannheimia. haemolytica</italic> (<italic>M. haemolytica</italic>) was cultured in Martin broth supplemented with 5% fetal bovine serum at 37&#x000B0;C. Other bacterial strains were cultured in proper media under the recommended conditions. IBRV was propagated on Madin-Darby bovine kidney (MDBK) cells. The used bacterial strains are displayed in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Bacteria strains used in this study.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="left"><bold>Bacterial strains</bold></th>
<th valign="top" align="left"><bold>Source</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>P. multocida</italic> Cart A<sup>&#x0002A;</sup></td>
<td valign="top" align="left">CVCC390 (bovine)</td>
</tr> <tr>
<td valign="top" align="left"><italic>P. multocida</italic> Cart B<sup>&#x0002A;</sup></td>
<td valign="top" align="left">CVCC391 (bovine)</td>
</tr> <tr>
<td valign="top" align="left"><italic>P. multocida</italic> Cart E<sup>&#x0002A;</sup></td>
<td valign="top" align="left">CVCC393 (bovine)</td>
</tr> <tr>
<td valign="top" align="left"><italic>M. haemolytica</italic></td>
<td valign="top" align="left">CVCC1655 (bovine)</td>
</tr> <tr>
<td valign="top" align="left"><italic>E. coli</italic></td>
<td valign="top" align="left">CVCC237 (bovine)</td>
</tr> <tr>
<td valign="top" align="left"><italic>L. Monocytogenes</italic></td>
<td valign="top" align="left">CVCC1597 (bovine)</td>
</tr> <tr>
<td valign="top" align="left"><italic>S. aureus</italic></td>
<td valign="top" align="left">CVCC3053 (bovine)</td>
</tr> <tr>
<td valign="top" align="left"><italic>S. enteriditis</italic></td>
<td valign="top" align="left">CVCC79351 (bovine)</td>
</tr> <tr>
<td valign="top" align="left"><italic>M. paratuberculosis</italic></td>
<td valign="top" align="left">CVCC1625 (bovine)</td>
</tr> <tr>
<td valign="top" align="left">Infectious bovine rhinotracheitis virus, IBRV</td>
<td valign="top" align="left">CVCC AV1546 (bovine)</td>
</tr>
<tr>
<td valign="top" align="left">Mycoplasma bovis</td>
<td valign="top" align="left">Laboratory isolated (bovine)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><p>CVCC, China Veterinary Culture Collection Center.</p></fn>
<fn id="TN2"><p><sup>&#x0002A;</sup>Cart A, serogroup A of Pm; Cart B, serogroup B of Pm; Cart E, serogroup E of Pm.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>2.2. Nucleic acid extraction</title>
<p>The total DNA of Pm, <italic>M. haemolytica</italic>, and other bacterial strains were extracted using the Genomic DNA TIANamp Bacteria DNA kit (TIANGEN, China). The total DNA of IBRV was extracted from cell cultures with the help of the Magnetic Viral DNA/RNA kit (TIANGEN, China). Finally, the extracted DNA was stored at &#x02212;80&#x000B0;C for further use.</p>
</sec>
<sec>
<title>2.3. Primer and probe design</title>
<p>According to the specific regions of serogroups A, B, and E of Pm genomes (GeneBank, CP006976, LIUP01000027, AF302466), the multiple pairs of primers and probes were prepared using the Primer 5 software and verified for specificity by Primer-BLAST (<xref ref-type="table" rid="T2">Table 2</xref>). Primers and probes were synthesized by Sangon Biotech (Shanghai, China).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Primers and probes of serogroups A, B, and E of Pm.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="left"><bold>Pathogens</bold></th>
<th valign="top" align="left"><bold>Gene</bold></th>
<th valign="top" align="left"><bold>Primers and probes</bold></th>
<th valign="top" align="left"><bold>Sequences (5<sup>&#x02032;</sup>end to 3<sup>&#x02032;</sup>end)</bold></th>
<th valign="top" align="left"><bold>Length</bold></th>
<th valign="top" align="left"><bold>Accession no</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Cart A</td>
<td valign="top" align="left"><italic>HyaD</italic></td>
<td valign="top" align="left">Cart A-F</td>
<td valign="top" align="left">CAGTTTCTCTGGATTGGCGC</td>
<td valign="top" align="left">100 bp</td>
<td valign="top" align="left">CP006976</td>
</tr> <tr>
<td/>
<td/>
<td valign="top" align="left">Cart A-R</td>
<td valign="top" align="left">AAAGCAACATTACCCGCCG</td>
<td/>
<td/>
</tr> <tr>
<td/>
<td/>
<td valign="top" align="left">Cart A-probe</td>
<td valign="top" align="left">FAM-CTCCGCTTATCCGATTCGCCTTTCC-BHQ1</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Cart B</td>
<td valign="top" align="left"><italic>bcbD</italic></td>
<td valign="top" align="left">Cart B-F</td>
<td valign="top" align="left">GAAAATGCTATTCCTTTGACTGCTT</td>
<td valign="top" align="left">102 bp</td>
<td valign="top" align="left">LIUP01000027</td>
</tr> <tr>
<td/>
<td/>
<td valign="top" align="left">Cart B-R</td>
<td valign="top" align="left">AAGCTGATCACCTAATCCAAAACC</td>
<td/>
<td/>
</tr> <tr>
<td/>
<td/>
<td valign="top" align="left">Cart B-probe</td>
<td valign="top" align="left">Cy5-AGCAGCACCTCCGTATTGACAGATACACC-BHQ2</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Cart E</td>
<td valign="top" align="left"><italic>ecbJ</italic></td>
<td valign="top" align="left">Cart E-F</td>
<td valign="top" align="left">TCAGAAGACACTTTAGGAGAAAGAC</td>
<td valign="top" align="left">122 bp</td>
<td valign="top" align="left">AF302466</td>
</tr> <tr>
<td/>
<td/>
<td valign="top" align="left">Cart E-R</td>
<td valign="top" align="left">CAGAGCCATATCCGCTAAATAG</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Cart E-probe</td>
<td valign="top" align="left">TAMRA-CAAGCAGCAAGCTATGCCAATGGT-BHQ2</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>2.4. Construction of standard plasmids</title>
<p>The genome DNA of serogroups A, B, and E of Pm were used as the template to amplify the target fragments, and then, the amplicons were purified and cloned into the pMD18-T vector (TaKaRa, China). The primers used for amplification are described in <xref ref-type="table" rid="T3">Table 3</xref>. The constructed plasmids were subjected to positive transformation into <italic>E. coli</italic> DH5&#x003B1; competent cells (Vazyme Biotech, China). After being cultured for 18&#x02013;20 h at 37&#x000B0;C, the plasmid was extracted utilizing the EndoFree Mini Plasmid Kit II (TIANGEN, China) and quantified using a NanoPhotometer<sup>&#x000AE;</sup> (Thermo Fisher, USA). The plasmids were named pMD-CartA, pMD-CartB, and pMD-CartE and then stored at &#x02212;80&#x000B0;C until use as standard plasmids. The copy numbers of plasmids were calculated with the help of the following formula:</p>
<disp-formula id="E1"><mml:math id="M1"><mml:mtable columnalign='left'><mml:mtr><mml:mtd><mml:mtext>Plasmid</mml:mtext><mml:mo>&#x000A0;</mml:mo><mml:mtext>copies/</mml:mtext><mml:mi>&#x003BC;</mml:mi><mml:mtext>L&#x02009;=&#x02009;</mml:mtext><mml:mo stretchy='false'>(</mml:mo><mml:mtext>6</mml:mtext><mml:mo>.</mml:mo><mml:mtext>02</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:msup><mml:mtext>10</mml:mtext><mml:mrow><mml:mtext>23</mml:mtext></mml:mrow></mml:msup><mml:mo stretchy='false'>)</mml:mo><mml:mo>&#x000D7;</mml:mo><mml:mo stretchy='false'>(</mml:mo><mml:msup><mml:mi>X</mml:mi><mml:mo>&#x02217;</mml:mo></mml:msup><mml:mi>n</mml:mi><mml:mi>g</mml:mi><mml:mtext>/</mml:mtext><mml:mi>&#x003BC;</mml:mi><mml:mi>L</mml:mi><mml:mo>&#x000D7;</mml:mo><mml:msup><mml:mtext>10</mml:mtext><mml:mrow><mml:mo>&#x02212;</mml:mo><mml:mtext>9</mml:mtext></mml:mrow></mml:msup><mml:mo stretchy='false'>)</mml:mo></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mtext>&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;&#x02009;/constructed</mml:mtext><mml:mo>&#x000A0;</mml:mo><mml:mtext>plasmid</mml:mtext><mml:mo>&#x000A0;</mml:mo><mml:mtext>length</mml:mtext><mml:mo>&#x000A0;</mml:mo><mml:mo stretchy='false'>(</mml:mo><mml:mtext>bp</mml:mtext><mml:mo stretchy='false'>)</mml:mo><mml:mo>&#x000D7;</mml:mo><mml:mtext>660</mml:mtext><mml:mo>&#x000A0;</mml:mo></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>(<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p><sup>&#x0002A;</sup>X: Recombinant plasmid concentration</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Primers used for standard constructions.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="left"><bold>Pathogens</bold></th>
<th valign="top" align="left"><bold>Gene</bold></th>
<th valign="top" align="left"><bold>Primers</bold></th>
<th valign="top" align="left"><bold>Sequences (5<sup>&#x02032;</sup>end to 3<sup>&#x02032;</sup>end)</bold></th>
<th valign="top" align="left"><bold>Length</bold></th>
<th valign="top" align="left"><bold>Accession no</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Cart A</td>
<td valign="top" align="left"><italic>HyaD</italic></td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">ATGAATACATTATCACAAGCAATAAAAGC</td>
<td valign="top" align="left">2,918 bp</td>
<td valign="top" align="left">CP006976</td>
</tr> <tr>
<td/>
<td/>
<td valign="top" align="left">R</td>
<td valign="top" align="left">TTATAGAGTTATACTATTAATAATGAACTTGTTAACAG</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Cart B</td>
<td valign="top" align="left"><italic>bcbD</italic></td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">ATGCATAAAATTATTTTCTCACAAACAA</td>
<td valign="top" align="left">1,427 bp</td>
<td valign="top" align="left">LIUP01000027</td>
</tr> <tr>
<td/>
<td/>
<td valign="top" align="left">R</td>
<td valign="top" align="left">TCACTTGCCTACATTCATTTGGTT</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Cart E</td>
<td valign="top" align="left"><italic>ecbJ</italic></td>
<td valign="top" align="left">F</td>
<td valign="top" align="left">ATGGACTCTAATGATAAATTAATTAAACTCAT</td>
<td valign="top" align="left">2,117 bp</td>
<td valign="top" align="left">AF302466</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R</td>
<td valign="top" align="left">TTATATAACAGTAATTTCTTCTGGGATTCC</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>2.5. Optimization of the singleplex real-time PCR assay</title>
<p>The matrix method (<xref ref-type="table" rid="T4">Table 4</xref>) was adopted to optimize the singleplex real-time PCR assay parameters, such as the annealing temperature, the primer concentration, and the probe. The total volume of the PCR reaction is 20 &#x003BC;L, including 2 &#x000D7; Animal Detection U<sup>&#x0002B;</sup> Probe qPCR Super Premix (Vazyme Biotech, China), 2 &#x003BC;L of positive plasmid template, and distilled water to a total volume of 20 &#x003BC;L. All reactions were amplified by a LightCycler<sup>&#x000AE;</sup> 480 II instrument (Roche Life Sciences, Swiss), and the amplification parameters were: 37&#x000B0;C for 2 min; 95&#x000B0;C for 30 s; and then 40 cycles of 95&#x000B0;C for 10 s and annealing temperature and extension temperature (56&#x000B0;C, 57&#x000B0;C, 58&#x000B0;C, 59&#x000B0;C, and 60&#x000B0;C) for 30 s. The fluorescent signals were analyzed at the end of each cycle.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Optimization of singleplex real-time PCR.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="left"><bold>TaqMan Probe (&#x003BC;mol/&#x003BC;L)</bold></th>
<th valign="top" align="center" colspan="5"><bold>Forward and reverse Primers (</bold>&#x003BC;<bold>mol/</bold>&#x003BC;<bold>L)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#8f9496">
<td/>
<td valign="top" align="center"><bold>2</bold></td>
<td valign="top" align="center"><bold>4</bold></td>
<td valign="top" align="center"><bold>6</bold></td>
<td valign="top" align="center"><bold>8</bold></td>
<td valign="top" align="center"><bold>10</bold></td>
</tr> <tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">0.1/0.1<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.1/0.2</td>
<td valign="top" align="center">0.1/0.3</td>
<td valign="top" align="center">0.1/0.4</td>
<td valign="top" align="center">0.1/0.5</td>
</tr> <tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">0.2/0.1</td>
<td valign="top" align="center">0.2/0.2</td>
<td valign="top" align="center">0.2/0.3</td>
<td valign="top" align="center">0.2/0.4</td>
<td valign="top" align="center">0.2/0.5</td>
</tr> <tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">0.3/0.1</td>
<td valign="top" align="center">0.3/0.2</td>
<td valign="top" align="center">0.3/0.3</td>
<td valign="top" align="center">0.3/0.4</td>
<td valign="top" align="center">0.3/0.5</td>
</tr> <tr>
<td valign="top" align="left">8</td>
<td valign="top" align="center">0.4/0.1</td>
<td valign="top" align="center">0.4/0.2</td>
<td valign="top" align="center">0.4/0.3</td>
<td valign="top" align="center">0.4/0.4</td>
<td valign="top" align="center">0.4/0.5</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="center">0.5/0.1</td>
<td valign="top" align="center">0.5/0.2</td>
<td valign="top" align="center">0.5/0.3</td>
<td valign="top" align="center">0.5/0.4</td>
<td valign="top" align="center">0.5/0.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup>Final concentration of probe/forward and reverse (&#x003BC;mol/&#x003BC;L).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>2.6. Optimization of the multiplex real-time PCR assay</title>
<p>The optimal reaction conditions of the multiplex real-time PCR, including primer and probe concentrations, were confirmed with the help of orthogonal experiments by referring to the optimal reaction conditions of the singleplex real-time PCR. Finally, the fluorescent signals were analyzed at the end of each cycle.</p>
</sec>
<sec>
<title>2.7. Standard curve analysis</title>
<p>Subsequently, 10-fold-diluted standard plasmids from 1 &#x000D7; 10<sup>7</sup> copies/&#x003BC;L to 1 &#x000D7; 10<sup>2</sup> copies/&#x003BC;L (3 replicates for each gradient) were selected for standard curve analysis. The amplification was constructed in the light of the optimized multiplex real-time PCR assay, and the standard curve was directly formed and derived from quantitative fluorescence software. The correlation coefficient (R<sup>2</sup>) and standard equation were calculated in the light of the amplification curve.</p>
</sec>
<sec>
<title>2.8. Specificity of the multiplex real-time PCR assay</title>
<p>The DNA of <italic>M. haemolytica, E. coli, L. Monocytogenes, S. aureus, S. enteriditis, M. paratuberculosis</italic>, IBRV, and <italic>Mycoplasma bovis</italic> were deemed as templates for the established multiplex real-time PCR to verify the specificity of the assay. In addition, the DNA of serogroups A, B, and E of Pm and distilled water were considered as the positive and negative controls, respectively.</p>
</sec>
<sec>
<title>2.9. Sensitivity of the multiplex real-time PCR assay</title>
<p>To assess the lowest detection limit, the standard plasmids of pMD-Cart A, pMD-Cart B, and pMD-Cart E were mixed, and then, the 10-time serial diluent from 1 &#x000D7; 10<sup>7</sup> copies/&#x003BC;L to 1 &#x000D7; 10<sup>0</sup> copies/&#x003BC;L was used as a template under the optimized conditions.</p>
</sec>
<sec>
<title>2.10. Repeatability of the multiplex real-time PCR assay</title>
<p>Three positive plasmids with different gradients (1 &#x000D7; 10<sup>7</sup> copies/&#x003BC;L, 1 &#x000D7; 10<sup>5</sup> copies/&#x003BC;L, and 1 &#x000D7; 10<sup>3</sup> copies/&#x003BC;L) were equivalently mixed as templates and then detected by the established multiplex PCR. The intra-assay and inter-assay tests were all performed in triplicate, with an interval of 2 weeks. The intra-and inter-assay CVs were used as an index to evaluate the repeatability of the assay.</p>
</sec>
<sec>
<title>2.11. Detection of artificial simulation samples and clinical samples by the multiplex real-time PCR</title>
<p>Virulent strains CVCC390, CVCC391, and CVCC393 were cultured with Martin broth medium, then diluted to OD<sub>600</sub>&#x02248;0.6 with normal saline, and six mice were infected intraperitoneally with 1 &#x000D7; 10<sup>4</sup> CFU bacteria (<xref ref-type="bibr" rid="B11">11</xref>). As a blank control, 3 mice were injected simultaneously with 0.3 mL Martin broth medium. After 48 h, the lung, liver, and spleen were collected from the six dead mice. Approximately 10-fold sterilized PBS (0.01 mol Ligue pH 7.4, containing 1 mmol/L LEDTA) was added to tissue homogenate. The TIAamp Genomic DNA kit (TIANGEN, China) extracted the genome for multiplex real-time PCR detection.</p>
<p>Approximately 147 nasal swab samples were collected from the asymptomatic cattle, and 59 nasal swab samples were collected from the cattle with signs of a fever (41&#x02013;42&#x000B0;C), respiratory distress, depression, red and swollen eyes, and lacrimation, in Xinjiang, China, from December 2021 to January 2022. Total DNA was extracted according to the Hi-Swab DNA kit (TIANGEN, China) and subsequently tested for the presence of serogroups A, B, and E of Pm using the established multiplex real-time PCR. In addition, the above DNA samples were also tested by regular PCR, as recommended for Pm identification (Chapter 3.4.10) in the OIE Manual (<xref ref-type="bibr" rid="B38">38</xref>).</p></sec></sec>
<sec id="s3">
<title>3. Results</title>
<sec>
<title>3.1. Optimal reaction conditions for the multiplex real-time PCR assay</title>
<p>After optimization using the matrix method, the fluorescence intensity and the CT value of each possible combination were compared. The optimized singleplex real-time PCR reaction conditions are shown in <xref ref-type="table" rid="T5">Table 5</xref>, with the optimal annealing temperature determined to be 59&#x000B0;C. The optimal reaction system and procedure were obtained by testing the primer concentration, probe concentration, and annealing temperature based on the optimized singleplex real-time PCR reaction conditions. The developed assay utilized a 20 &#x003BC;L reaction mixture, consisting of 10 &#x003BC;L of 2 &#x000D7; Animal Detection U<sup>&#x0002B;</sup> Probe qPCR Super Premix (Vazyme Biotech, China), 2.0 &#x003BC;L of total DNA (DNA of three pathogens), together with the optimum primer and probe concentration for three serotypes shown in <xref ref-type="table" rid="T6">Table 6</xref>, and distilled water to a total volume of 20 &#x003BC;L. The amplification parameters were 37&#x000B0;C for 2 min, 95&#x000B0;C for 30 s, and then 40 cycles of 95&#x000B0;C for 10 s and 59&#x000B0;C (annealing temperature and extension temperature) for 30 s.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Optimum singleplex real-time PCR reaction conditions.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="left"><bold>Pathogens</bold></th>
<th valign="top" align="center" colspan="2"><bold>Final concentration (</bold>&#x003BC;<bold>mol/</bold>&#x003BC;<bold>L)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#8f9496">
<td/>
<td valign="top" align="center"><bold>Forward and reverse primer</bold></td>
<td valign="top" align="center"><bold>TaqMan probe</bold></td>
</tr> <tr>
<td valign="top" align="left">Cart A</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0.3</td>
</tr> <tr>
<td valign="top" align="left">Cart B</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left">Cart E</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">0.6</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Optimum primer and probe concentrations.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="left"><bold>Pathogens</bold></th>
<th valign="top" align="center" colspan="2"><bold>Final concentration (</bold>&#x003BC;<bold>mol/</bold>&#x003BC;<bold>L)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#8f9496">
<td/>
<td valign="top" align="center"><bold>Forward and reverse primer</bold></td>
<td valign="top" align="center"><bold>TaqMan probe</bold></td>
</tr> <tr>
<td valign="top" align="left">Cart A</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">0.3</td>
</tr> <tr>
<td valign="top" align="left">Cart B</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">Cart E</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0.3</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>3.2. Construction of the standard curve</title>
<p>Three standard plasmids with dilution from 1 &#x000D7; 10<sup>7</sup> copies/&#x003BC;L to 1 &#x000D7; 10<sup>2</sup> copies/&#x003BC;L (three replicates for each gradient) were mixed in equal volume and then amplified under the optimized multiplex real-time PCR condition. The corresponding slope of the equation, correlation coefficient (R<sup>2</sup>), and amplification efficiency (E) were &#x02212;3.5787, 0.9975, and 90.30% for serogroups A of Pm, respectively; &#x02212;3.5663, 0.9964, and 90.72% for serogroups B of Pm, respectively; and &#x02212;3.5707, 0.996, and 90.57% for serogroups E of Pm, respectively (<xref ref-type="fig" rid="F1">Figure 1</xref>). Collectively, an excellent linear relationship (R<sup>2</sup> &#x02265; 0.990) was confirmed between the initial template concentrations and the corresponding threshold cycle (Ct) values.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Amplification and standard curves for the multiplex real-time PCR: <bold>(A)</bold> amplification curves (X-axis: Cycle, Y-axis: Fluorescence) for the multiplex real-time PCR; <bold>(B&#x02013;D)</bold> amplification curves (X-axis: Cycle, Y-axis: Fluorescence) of Cart A, Cart B, and Cart E for each positive plasmid standard with concentrations ranging from 1 &#x000D7; 10<sup>7</sup> copies/&#x003BC;L to 1 &#x000D7; 10<sup>2</sup> copies/&#x003BC;L; <bold>(E&#x02013;G)</bold> standard curves of positive plasmid standards of Cart A, Cart B and Cart E. <bold>(E)</bold> Cart A: Y = -3.5787 lg(X)&#x0002B;42.271 R<sup>2</sup> = 0.9975 Eff% = 90.30; <bold>(F)</bold> Cart B: Y = -3.5663 lg(X)&#x0002B;42.296 R<sup>2</sup> = 0.9964 Eff% = 90.72; <bold>(G)</bold> Cart E: Y = -3.5707 lg(X)&#x0002B;42.097 R<sup>2</sup> = 0.996 Eff% = 90.57.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-10-1193162-g0001.tif"/>
</fig>
</sec>
<sec>
<title>3.3. Specificity of the multiplex real-time PCR assay</title>
<p>As shown in <xref ref-type="fig" rid="F2">Figure 2</xref>, serogroups A, B, and E of Pm had specific amplification curves, while the other eight pathogens and the negative control had no amplification or fluorescent signal. It was indicated that the multiplex real-time PCR assay was specific for serotyping of Pm.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Specificity of the real-time multiplex PCR using different pathogens. The data were represented with amplification curves (X-axis: Cycle, Y-axis: Fluorescence). The serotypes A, B, and E of Pm<italic>, M. haemolytica, E. coli, L. Monocytogenes, S. aureus, S. enteriditis, M. paratuberculosis</italic>, IBRV, and Mycoplasma bovis were detected by the real-time multiplex PCR.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-10-1193162-g0002.tif"/>
</fig>
</sec>
<sec>
<title>3.4. Sensitivity and repeatability of the multiplex real-time PCR assay</title>
<p>The sensitivity studies described that the detection limit of this method for Pm Cart A, Pm Cart B, and Pm Cart E was 10 copies/&#x003BC;L (<xref ref-type="fig" rid="F3">Figure 3</xref>). The cutoff Ct value for Pm CartA and CartE was 37, indicating that the sample with a Ct value less than or equal to 37 ( &#x02264; 37) was considered positive but the sample with a Ct value higher than 37 (&#x0003E;37) was considered negative. The cutoff Ct value for Pm CartB positivity was 38 (<xref ref-type="fig" rid="F3">Figures 3A</xref>&#x02013;<xref ref-type="fig" rid="F3">C</xref>). As shown in <xref ref-type="table" rid="T7">Table 7</xref>, the coefficient of variation was &#x0003C; 2%, describing that the assay had good repeatability.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p><bold>(A)</bold> Sensitivity of the multiplex real-time PCR assay; <bold>(B&#x02013;D)</bold> amplification curves (X-axis: Cycle, Y-axis: Fluorescence) of Cart A, Cart B, and Cart E for each positive plasmid standard with concentrations ranging from 1 &#x000D7; 10<sup>7</sup> copies/&#x003BC;L to 1 &#x000D7; 10<sup>1</sup> copies/&#x003BC;L.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-10-1193162-g0003.tif"/>
</fig>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Repeatability of the multiplex real-time PCR assay.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="left"><bold>Standard plasmid</bold></th>
<th valign="top" align="center" colspan="2"><bold>Concentration of template (copies/</bold>&#x003BC;<bold>L)</bold></th>
<th valign="top" align="center" colspan="2"><bold>Intra-coefficient of variation</bold></th>
<th valign="top" align="center"><bold>Inter-coefficient of variation</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#8f9496">
<td/>
<td/>
<td valign="top" align="center"><bold>X</bold> &#x000B1;<bold>SD</bold></td>
<td valign="top" align="center"><bold>CV (%)</bold></td>
<td valign="top" align="center"><bold>X</bold> &#x000B1;<bold>SD</bold></td>
<td valign="top" align="center"><bold>CV (%)</bold></td>
</tr> <tr>
<td valign="top" align="left">pMD-Cart A</td>
<td valign="top" align="center">10<sup>7</sup></td>
<td valign="top" align="center">17.250 &#x000B1; 0.061</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">17.547 &#x000B1; 0.040</td>
<td valign="top" align="center">0.23</td>
</tr> <tr>
<td/>
<td valign="top" align="center">10<sup>5</sup></td>
<td valign="top" align="center">23.437 &#x000B1; 0.100</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">23.510 &#x000B1; 0.286</td>
<td valign="top" align="center">1.21</td>
</tr> <tr>
<td/>
<td valign="top" align="center">10<sup>3</sup></td>
<td valign="top" align="center">31.810 &#x000B1; 0.060</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">31.337 &#x000B1; 0.202</td>
<td valign="top" align="center">0.65</td>
</tr> <tr>
<td valign="top" align="left">pMD-Cart B</td>
<td valign="top" align="center">10<sup>7</sup></td>
<td valign="top" align="center">17.370 &#x000B1; 0.262</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">17.530 &#x000B1; 0.040</td>
<td valign="top" align="center">0.23</td>
</tr> <tr>
<td/>
<td valign="top" align="center">10<sup>5</sup></td>
<td valign="top" align="center">24.230 &#x000B1; 0.270</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">24.787 &#x000B1; 0.176</td>
<td valign="top" align="center">0.71</td>
</tr> <tr>
<td/>
<td valign="top" align="center">10<sup>3</sup></td>
<td valign="top" align="center">31.080 &#x000B1; 0.036</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">31.677 &#x000B1; 0.176</td>
<td valign="top" align="center">0.12</td>
</tr> <tr>
<td valign="top" align="left">pMD-Cart E</td>
<td valign="top" align="center">10<sup>7</sup></td>
<td valign="top" align="center">17.660 &#x000B1; 0.191</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">17.477 &#x000B1; 0.153</td>
<td valign="top" align="center">0.87</td>
</tr> <tr>
<td/>
<td valign="top" align="center">10<sup>5</sup></td>
<td valign="top" align="center">23.277 &#x000B1; 0.230</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">23.467 &#x000B1; 0.233</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">10<sup>3</sup></td>
<td valign="top" align="center">31.570 &#x000B1; 0.303</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">31.580 &#x000B1; 0.384</td>
<td valign="top" align="center">1.22</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>3.5. Detection of artificial simulation samples and clinical samples by the multiplex real-time PCR assay</title>
<p>For the six artificial simulation samples, the accuracy of the detection method was 100% (<xref ref-type="table" rid="T8">Table 8</xref>). To further verify its clinical applicability for the serotyping of Pm, 59 nasal swabs collected from the cattle with symptoms of fever and respiratory distress and 147 nasal swabs collected from the asymptomatic cattle were tested (<xref ref-type="table" rid="T8">Table 8</xref>). Among the total 206 clinical samples, 60 (29.13%) were detected as positive for type A, and eight (3.88%) were detected as positive for type B. It corresponds with the epidemiological of BRD and HS in China as that serogroup A is still predominantly prevalent, and serogroup E is still not present in cattle in China (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B39">39</xref>). In detail, the nasal swabs collected from the tattles with disease symptoms had the same detection rate (serogroup A: 21/59; serogroup B: 5/59) for the multiplex real-time PCR and ordinary PCR (<xref ref-type="table" rid="T8">Table 8</xref>). However, in the detection of nasal swabs collected from asymptomatic cattle, the detection rate of the multiplex real-time PCR (serogroup A: 39/147; serogroup B: 3/147) was higher than that of the ordinary PCR (serogroup A: 31/147; serogroup B: 2/147). Thus, the establishment of a diagnostic method with higher sensitivity is essential for the timely prevention and control of the spread of the disease.</p>
<table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>Test results of clinical samples and artificial simulation samples.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:#8f9496">
<th valign="top" align="left"><bold>Samples</bold></th>
<th valign="top" align="center" colspan="2"><bold>The multiplex real-time PCR</bold></th>
<th valign="top" align="center"><bold>Reference methods<sup>&#x0002A;</sup></bold></th>
<th valign="top" align="center"><bold>Agreements</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#8f9496">
<td/>
<td valign="top" align="center"><bold>Serotype</bold></td>
<td valign="top" align="center"><bold>Positive</bold></td>
<td valign="top" align="center"><bold>Positive</bold></td>
<td/>
</tr> <tr>
<td valign="top" align="left">18 samples of an artificial simulated infection</td>
<td valign="top" align="center">A</td>
<td valign="top" align="center">6/6 (100%)</td>
<td valign="top" align="center">6/6 (100%)</td>
<td valign="top" align="center">100%</td>
</tr> <tr>
<td/>
<td valign="top" align="center">B</td>
<td valign="top" align="center">6/6 (100%)</td>
<td valign="top" align="center">6/6 (100%)</td>
<td/>
</tr> <tr>
<td/>
<td valign="top" align="center">E</td>
<td valign="top" align="center">6/6 (100%)</td>
<td valign="top" align="center">6/6 (100%)</td>
<td/>
</tr> <tr>
<td valign="top" align="left">3 negative control samples</td>
<td valign="top" align="center">A, B, and E</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td/>
</tr> <tr>
<td valign="top" align="left">59 nasal swab samples<break/> (symptomatic)</td>
<td valign="top" align="center">A</td>
<td valign="top" align="center">21/59 (35.59%)</td>
<td valign="top" align="center">21/59 (35.59%)</td>
<td valign="top" align="center">100%</td>
</tr> <tr>
<td/>
<td valign="top" align="center">B</td>
<td valign="top" align="center">5/59 (8.47%)</td>
<td valign="top" align="center">5/59 (8.47%)</td>
<td valign="top" align="center">100%</td>
</tr> <tr>
<td/>
<td valign="top" align="center">E</td>
<td valign="top" align="center">0/59 (0%)</td>
<td valign="top" align="center">0/59 (0%)</td>
<td valign="top" align="center">100%</td>
</tr> <tr>
<td valign="top" align="left">147 nasal swabs samples<break/> (asymptomatic)</td>
<td valign="top" align="center">A</td>
<td valign="top" align="center">39/147 (26.53%)</td>
<td valign="top" align="center">31/147 (21.08%)</td>
<td valign="top" align="center">79.48%</td>
</tr> <tr>
<td/>
<td valign="top" align="center">B</td>
<td valign="top" align="center">3/147 (2.04%)</td>
<td valign="top" align="center">2/147 (1.36%)</td>
<td valign="top" align="center">66.66%</td>
</tr> <tr>
<td/>
<td valign="top" align="center">E</td>
<td valign="top" align="center">0/147 (0%)</td>
<td valign="top" align="center">0/147 (0%)</td>
<td valign="top" align="center">100%</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">negative</td>
<td valign="top" align="center">138/206 (66.99%)</td>
<td valign="top" align="center">147/206 (71.36%)</td>
<td valign="top" align="center">93.88%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup>The reference methods refer to the ordinary PCR that was recommended for Pm (Chapter 3.4.10) identification by the OIE (OIE Terrestrial Manual 2021).</p>
</table-wrap-foot>
</table-wrap></sec></sec>
<sec id="s4">
<title>4. Discussion</title>
<p>We developed a one-step multiplex real-time PCR assay to detect serogroups A, B, and E of Pm using <italic>HyaD, bcbD</italic>, and <italic>ecbJ</italic> as marks, respectively. This method exhibited high specificity, sensitivity, and reliability, with no cross-reactions observed with other bovine pathogens and a detection limit of 10 copies/&#x003BC;L. The coefficient of variation was also determined to be &#x0003C; 2%. Moreover, this method effectively differentiated Pm infections of different serogroups (A, B, and E) in symptomatic and asymptomatic animals, facilitating early clinical diagnosis of bovine pasteurellosis and enabling rapid molecular epidemiological investigation.</p>
<p>The capsule is not only one of the main components on the surface of Pm but also one of its important virulence factors, which plays a crucial role in the anti-phagocytosis of Pm (<xref ref-type="bibr" rid="B40">40</xref>). The whole genome sequence analysis of Pm has identified capsular-specific genes for different serogroups: <italic>hyaD</italic> for serogroup A, <italic>bcbD</italic> for serogroup B, <italic>dcbF</italic> for serogroup D, <italic>ecbJ</italic> for serogroup E, and <italic>fcbD</italic> for serogroup F (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B41">41</xref>). The capsular genotyping method was developed based on PCR detection of cap genes, using primers highly specific for different serogroups, and genotypes determined by this multiplex capsular PCR-based typing system were reliably and accurately distinguished among the podoconjugate serogroups (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Petersen et al. developed a real-time PCR assay that specifically detects HS-associated isolates based on the gene of EST, capable of detecting serotypes B: 2 and E: 2 (<xref ref-type="bibr" rid="B20">20</xref>). Moustafa et al. confirmed the high sensitivity and specificity of HS-LAMP detection in HS-associated Pm by utilizing the established PM-LAMP and HS-LAMP assays for serogroup B:2 strains associated with HS in cattle and buffalo (<xref ref-type="bibr" rid="B42">42</xref>). Liu et al. developed a duplex real-time PCR assay for assessing Pm, which exhibited high specificity and sensitivity with a detection limit of 10 copies/&#x003BC;L. However, this method can only identify Pm and capsular serogroup A (<xref ref-type="bibr" rid="B43">43</xref>), lacking the ability to simultaneously detect serogroups A, B, and E of Pm in infected cattle.</p>
<p>The serogroups A:1 and A:3 caused BRD in cattle under other bacteria or virus co-infection, weaning pressure, poor management, diet change, sudden weather change, transportation and auction, and other contributing factors (<xref ref-type="bibr" rid="B44">44</xref>). HS is caused by serotype B:2 in Asia and serotype E:2 in Africa, with disease outbreaks mostly occurring under monsoon conditions in Asian countries. Currently, the serotype E of Pm is prevalent mainly in African countries, such as Egypt (<xref ref-type="bibr" rid="B16">16</xref>). In addition, the isolation of serogroup E from diseased cattle has been reported in other countries, such as England and Wales (<xref ref-type="bibr" rid="B45">45</xref>). Serogroup A of Pm has the highest prevalence among cattle herds in China, followed by serogroup B of Pm. However, serogroup E of Pm has not been found in cattle herds in China (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B39">39</xref>). The serogroup A of Pm in clinical samples still dominates the epidemiological trend in cattle (<xref ref-type="table" rid="T8">Table 8</xref>), which is consistent with the current epidemiological situation in China. However, with the need for international trade and quarantine introduction, it is risky for the serogroup E of Pm to be introduced into China. The one-step multiplex real-time PCR assay showed a higher detection rate compared to the ordinary PCR assay, especially for the clinical samples collected from the asymptomatic cattle (<xref ref-type="table" rid="T8">Table 8</xref>). With the higher sensitivity, the multiplex real-time PCR assay was capable of detecting low Pm concentrations, with a detection limit of 10 copies/&#x003BC;L (<xref ref-type="fig" rid="F3">Figure 3</xref>). It is reasonable that the asymptomatic cattle, carrying lower bacterial concentrations at preclinical stages, are amenable to detection through the multiplex real-time PCR assay but not through ordinary PCR techniques. Compared to other samples (blood, heart, liver, and so on), swabs are the most easily collected and monitored samples for risk assessment and epidemiological investigation of the disease. However, the effectiveness of nucleic extraction varies due to the differences in swab quality, methods for collection, preservation, and nucleic acid extraction. Moreover, the ordinary PCR assays demonstrated lower sensitivity than the one-step multiplex real-time PCR assay, leading to decreased detection rate.</p>
<p>Bovine pasteurellosis is mainly prevented and controlled through vaccination, stress reduction, timely diagnosis, and disinfection. Given the acute symptoms and rapid deterioration of the disease, rapid and early diagnosis of Pm serogroups during the latent period and the early stage of the infection might improve chances for clinical therapy and disease control. Therefore, rapid typing and identification of Pm in the clinic will be beneficial to understand its infection and pathogenic regularity and realize pasteurellosis monitoring, cross-regional correlation analysis, the molecular epidemiology, and traceability of infectious diseases.</p></sec>
<sec id="s5">
<title>5. Conclusion</title>
<p>This study developed an efficient multiplex real-time PCR assay for the simultaneous detection of serogroups A, B, and E of Pm causing bovine pasteurellosis, which provided technical support for clinical detection, epidemic prevention examination, epidemiological investigation, and vaccine evaluation.</p></sec>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p></sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by Animal Ethics Committee of the China Institute of Veterinary Drug Control.</p></sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>LZ, YL, and WY conceived and designed the experiments. HW, LX, YH, and RT performed the experiments, analyzed the data, and prepared figures and tables. HZ and YW provided clinical samples. All authors reviewed drafts of the paper and approved the final draft.</p></sec>
</body>
<back>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the National Key Research and Development Program of China (2022YFD1800703) and the Public Welfare Special Project of the China Institute of Veterinary Drug Control (GY202103).</p>
</sec>
<ack><p>We thank the China Institute of Veterinary Drug Control for their support in instruments.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors 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>


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