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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.2025.1495128</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>Development of SYBR green I-based real-time qPCR differential diagnosis assays for porcine reproductive and respiratory syndrome virus typing in Guangdong province</article-title>
</title-group>
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<name><surname>Ren</surname> <given-names>Zhaowen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Kang</surname> <given-names>Pu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhang</surname> <given-names>Pian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Chenglong</given-names></name>
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<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Jing</given-names></name>
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<name><surname>Xiang</surname> <given-names>Hua</given-names></name>
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<contrib contrib-type="author">
<name><surname>Luo</surname> <given-names>Shengjun</given-names></name>
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<contrib contrib-type="author">
<name><surname>Cai</surname> <given-names>Rujian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Yuan</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Jin</surname> <given-names>Yuzhu</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Gang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Xiaohu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Guangdong Province Key Laboratory of Livestock Disease Prevention, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, Institute of Animal Health, Guangdong Academy of Agricultural Sciences</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>College of Life Science and Engineering, Foshan University</institution>, <addr-line>Foshan</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Molecular Biology, University of Texas Southwestern Medical Center</institution>, <addr-line>Dallas, TX</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>Jiaozuo City Product Quality Inspection and Testing Center</institution>, <addr-line>Jiaozuo</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Levon Abrahamyan, Montreal University, Canada</p></fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Pavulraj Selvaraj, Louisiana State University, United States</p>
<p>Paula Louise Lagan Tregaskis, Queen&#x2019;s University Belfast, United Kingdom</p></fn>
<corresp id="c001">&#x002A;Correspondence: Yuzhu Jin, <email>jinyuzhu1984@163.com</email></corresp>
<corresp id="c002">Gang Wang, <email>wanggang@gdaas.cn</email></corresp>
<corresp id="c003">Xiaohu Wang, <email>wangxiaohu2020@163.com</email></corresp>
<fn fn-type="equal" id="fn0001"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1495128</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Ren, Kang, Zhang, Sun, Chen, Xiang, Luo, Cai, Huang, Jin, Wang and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ren, Kang, Zhang, Sun, Chen, Xiang, Luo, Cai, Huang, Jin, Wang and Wang</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>Introduction</title>
<p>Porcine Reproductive and Respiratory Syndrome (PRRS) is a highly contagious disease that causes reproductive disorders in sows and respiratory problems in pigs of different ages. It first appeared in the late 20th century in the United States and Europe before spreading globally, leading to significant economic losses in the swine industry. Porcine Reproductive and Respiratory Syndrome virus (PRRSV) has a high rate of genetic recombination, resulting in considerable genetic diversity within the virus. The lack of cross-protection between different lineages often leads to unsuccessful vaccination attempts.</p>
</sec>
<sec>
<title>Methods</title>
<p>To accurately distinguish PRRSV lineages and develop effective vaccination strategies for pigs, we have developed a fluorescence quantitative PCR (qPCR) method by designing specific primers and SYBR green dye. This method allows for the simultaneous identification of different PRRSV genotypes.</p>
</sec>
<sec>
<title>Results</title>
<p>Our experimental results show that these methods have good specificity and do not react with other common viral pathogens in pigs. This method also demonstrates good sensitivity, with the ability to detect low levels of the virus. The detection limits of these assay were 10<sup>2</sup> copies/&#x03BC;L for PRRSV-1 (European-type PRRS) and 10<sup>1</sup> copies/&#x03BC;L for PRRSV-2 (American-type PRRSV), HP-PRRSV (Highly Pathogenic PRRSV), and NL-PRRSV (NADC30-like PRRSV), respectively. Furthermore, the reproducibility of this method is commendable, with intra- and inter-assay coefficients of variation remaining below 3%. In the subsequent study, a total of 316 clinical samples of porcine with respiratory and reproductive failure symptoms were collected from 14 cities in Guangdong. The results showed that among these samples, 22.78% (72 out of 316) tested positive for PRRSV-2, 15.51% (49 out of 316) tested positive for HP-PRRSV, and 0.95% (3 out of 316) tested positive for NL-PRRSV. However, PRRSV-1 was not detected in any of the samples.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Our method provides a quick way to identify PRRSV genotypes in pig herds in Guangdong, which has certain significance for developing effective vaccination strategies against PRRS.</p>
</sec>
</abstract>
<kwd-group>
<kwd>PRRSV</kwd>
<kwd>duplex real-time PCR</kwd>
<kwd>prevalence</kwd>
<kwd>phylogenetic analysis</kwd>
<kwd>differential diagnosis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="8"/>
<equation-count count="1"/>
<ref-count count="29"/>
<page-count count="13"/>
<word-count count="7784"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Veterinary Infectious Diseases</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>The Porcine Reproductive and Respiratory Syndrome (PRRS) is a highly contagious infectious disease caused by the Porcine Reproductive and Respiratory Syndrome virus (PRRSV). It has had a significant negative impact on the global swine industry for the past 30&#x202F;years, resulting in billions of dollars in losses (<xref ref-type="bibr" rid="ref1">1</xref>). The PRRSV genome is approximately 15&#x202F;kb in size and consists of at least 11 open reading frames responsible for encoding over 16 structural and non-structural proteins (<xref ref-type="bibr" rid="ref2">2</xref>). Among all the proteins encoded by PRRSV, NSP2 and GP5 exhibit the highest variability. NSP2, with approximately 980 amino acids (aa), is a large protein that displays significant genetic diversity, with around 40% aa homology between PRRSV-1 (European-type PRRS) and PRRSV-2 (American-type PRRSV). Compared to the PRRSV-2 prototype strain (VR-2332, lineage 5), NSP2 of other circulating strains in China exhibit aa deletions at different sites. Specifically, the HP-PRRSV (Highly Pathogenic PRRSV) strain has discontinuous aa deletions at positions 482 and 532&#x2013;560, totaling 1&#x202F;+&#x202F;29 aa. The NADC30 strain (lineage 1.8) has 111&#x202F;+&#x202F;1&#x202F;+&#x202F;19 discontinuous aa deletions at positions 324&#x2013;434, 482, and 505&#x2013;523. Both NADC34 and PRRSV 1&#x2013;4-4 strains have a deletion of 100 aa at positions 330&#x2013;429.</p>
<p>The virus was first identified in North America in 1987 and later spread to China in 1996 (<xref ref-type="bibr" rid="ref3">3</xref>). Initially, classical strains like CH-1a (GenBank: AY032626) and BJ-4 (GenBank: AF331831) were predominant in Chinese swine herds for about a decade. However, in 2006, a highly pathogenic variant called HP-PRRSV emerged in China and replaced the CH-1a strain as the dominant strain (<xref ref-type="bibr" rid="ref4">4</xref>). In 2014, another strain known as NL-PRRSV (NADC30-like PRRSV) was identified in China. This strain exhibits extensive recombination with different lineages, resulting in increased genetic diversity and variable levels of virulence, making it highly adaptable (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). This led to its rapid prevalence within Chinese pig herds (<xref ref-type="bibr" rid="ref7">7</xref>). At present, the NL-PRRSV and HP-PRRSV strains continue to pose significant threats to pig herds across the majority of China&#x2019;s regions. However, since 2017, there has been an increasing positive rate for the NADC34-like strain, indicating its potential emergence as the new predominant strain (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Vaccination stands as a fundamental strategy in the control of PRRSV infection. However, due to the limited cross-protection of vaccines against different strains of the virus, immunization failures are common. Therefore, to achieve precise control of PRRSV, obtaining timely genetic information on the prevailing strains in pig herds is crucial. Previous studies have shown that amplification of the ORF5 segment of the virus by RT-PCR, followed by phylogenetic analysis, is a major molecular biology approach for PRRSV genotyping (<xref ref-type="bibr" rid="ref9 ref10 ref11">9&#x2013;11</xref>). Yet, this technique is intricate and time-intensive, and RT-PCR amplification of long fragments is less sensitive and often difficult. To circumvent such limitations, Yang et al. developed a multiplex RT-PCR method based on a single RT-PCR to differentiate HP-PRRSV, HP-PRRSV vaccine strains, and classical PRRSV (<xref ref-type="bibr" rid="ref12">12</xref>). However, sensitivity and specificity issues still exist. In last two decades, with the development of fluorescence labeling techniques, Wen et al. to devise a TaqMan probe-based fluorescent quantitative PCR technique capable of concomitant identification of American type, European type, and highly pathogenic PRRSV, enhancing detection efficacy and providing a more seamless and precise method for PRRSV genotype identification (<xref ref-type="bibr" rid="ref13">13</xref>). However, the cost of TaqMan probe-based techniques often render them impractical in primary swine farms. To address these issues, our research has established a qPCR method based on SYBR Green I. This method allows the simultaneous identification of PRRSV-1 and PRRSV-2 genotypes, as well as HP-PRRSV and NL-PRRSV genotypes. This approach effectively distinguishes the four genotypes of PRRSV, while being cost-effective, user-friendly, time-efficient, highly sensitive, and highly specific. Therefore, it is suitable in primary swine farms and laboratories.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Primers</title>
<p>A total of 407 complete PRRSV genome sequences from China were downloaded from the GenBank database (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). The sequences were aligned using MAFFT (Version 4.470) (<xref ref-type="bibr" rid="ref14">14</xref>), and conserved regions of the target lineage strains were selected for primer design. Specific primers for different types of strain were designed at the conserved sequences using primer 5.0 software. And the primer melting temperature (Tm), hairpin structures, and complementarity were predicted using Oligo (Version 7) software (<xref ref-type="bibr" rid="ref15">15</xref>). All primers were synthesized by Beijing Tsingke Biotech Co., Ltd. (Beijing, China). The details of all primers have been listed in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Primers used in this study.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">No.</th>
<th align="left" valign="top">Use</th>
<th align="left" valign="top">Primers</th>
<th align="left" valign="top">Sequence (5&#x2032; end to 3&#x2032; End)</th>
<th align="center" valign="top">Region</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="2">1</td>
<td align="left" valign="middle" rowspan="2">Amplification of PRRSV-1 ORF5</td>
<td align="left" valign="middle">EU-ORF5-F</td>
<td align="left" valign="middle">TCTGGCGTTGTTTCTGCTT</td>
<td align="char" valign="middle" char="," rowspan="2">13,317&#x2013;14,275 (<xref ref-type="bibr" rid="ref16">16</xref>)</td>
</tr>
<tr>
<td align="left" valign="middle">EU-ORF5-R</td>
<td align="left" valign="middle">CGACACGGTTGGTGGATTG</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">2</td>
<td align="left" valign="middle" rowspan="2">Amplification of NL-PRRSV ORF5</td>
<td align="left" valign="middle">NL-ORF5-F</td>
<td align="left" valign="middle">ACYGTTTTAGCCTGT</td>
<td align="char" valign="middle" char="," rowspan="2">13,344&#x2013;14,058</td>
</tr>
<tr>
<td align="left" valign="middle">NL-ORF5-R</td>
<td align="left" valign="middle">RTATATCATTATTGGCGT</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">3</td>
<td align="left" valign="middle" rowspan="2">Amplification of PRRSV-2 ORF5</td>
<td align="left" valign="middle">ORF5-F</td>
<td align="left" valign="middle">ACCTGAGACCATGAGGTGGGCAA</td>
<td align="char" valign="middle" char="," rowspan="2">13,624&#x2013;14,397 (<xref ref-type="bibr" rid="ref17">17</xref>)</td>
</tr>
<tr>
<td align="left" valign="middle">ORF5-R</td>
<td align="left" valign="middle">CGGCCGCGACTTACCTTTAGAGCAT</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">4</td>
<td align="left" valign="middle" rowspan="2">For detection of PRRSV-1</td>
<td align="left" valign="middle">EU-F</td>
<td align="left" valign="middle">TCCTTGCCATACTGTTTG</td>
<td align="char" valign="middle" char="," rowspan="2">11,681&#x2013;11,723</td>
</tr>
<tr>
<td align="left" valign="middle">EU-R</td>
<td align="left" valign="middle">CACYCTGAGAAGAAAGACCA</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">5</td>
<td align="left" valign="middle" rowspan="2">For detection of PRRSV-2</td>
<td align="left" valign="middle">US-F</td>
<td align="left" valign="middle">CTCCAGRTGCCGKTTGT</td>
<td align="char" valign="middle" char="," rowspan="2">14,572&#x2013;14,619</td>
</tr>
<tr>
<td align="left" valign="middle">US-R</td>
<td align="left" valign="middle">TCRACGTGGTGGGCAG</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">6</td>
<td align="left" valign="middle" rowspan="2">For detection of HP-PRRSV</td>
<td align="left" valign="middle">HP-F</td>
<td align="left" valign="middle">GGTTCGGAAGAAACTGTCGG</td>
<td align="char" valign="middle" char="," rowspan="2">2,767&#x2013;2,901</td>
</tr>
<tr>
<td align="left" valign="middle">HP-R</td>
<td align="left" valign="middle">GCGGTGCWGGAACTGGT</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">7</td>
<td align="left" valign="middle" rowspan="2">For detection of NL-PRRSV</td>
<td align="left" valign="middle">NL-F</td>
<td align="left" valign="middle">CCTGTAACCAARRTTTC</td>
<td align="char" valign="middle" char="," rowspan="2">13,954&#x2013;14,061</td>
</tr>
<tr>
<td align="left" valign="middle">NL-R</td>
<td align="left" valign="middle">AGGCATATATCATTATTGG</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Viruses</title>
<p>For the validation of method specificity, commercially obtained attenuated vaccines of Porcine Epidemic Diarrhea Virus (PEDV, strain AJ1102-R, sourced from Wuhan Keqian Biology Co., Ltd.), Porcine Transmissible Gastroenteritis Virus (TGEV, strain WH-1R, sourced from Wuhan Keqian Biology Co., Ltd.), Porcine Pseudorabies Virus (strain Bartha-K16, acquired from China Animal Husbandry Industry Co., Ltd.), and Porcine Circovirus Type 2 (PCV2, strain WH, supplied by China Animal Husbandry Industry Co., Ltd.) were employed.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>DNA/RNA extraction and reverse transcription</title>
<p>Nucleic acids from PRRSV, PEDV, TGEV, PRV, and PCV2 were extracted using the RaPure Viral RNA/DNA Kit (Magen, Guangzhou, China) according to the manufacturer&#x2019;s instructions. The HiScript&#x00AE; II 1st Strand cDNA Synthesis Kit (Vazyme, Nanjing, China) was then used to synthesize cDNA by reverse transcription. DNA and cDNA products were stored at &#x2212;80&#x00B0;C.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Recombinant plasmid construction</title>
<p>To construct the recombinant standard plasmid, the target fragments of different PRRSV lineages were amplified by primer pairs 4 to 7 (2&#x00D7; Taq Plus Master Mix II, Vazyme, Nanjing, China). Next, according to the manufacturer&#x2019;s instructions, the PCR products were purified using the Magen Gel Extraction Kit (Magen, Guangzhou, China). The purified products were cloned into the pMD18-T vector (Takara, Beijing, China) and transformed into DH5&#x03B1; competent cells (Vazyme, Nanjing, China). Then, the bacterial cultures were shaken and grown for 12&#x202F;h at 37&#x00B0;C, and the final plasmid obtained was named PMD-EU, PMD-US, PMD-HP, and PMD-NL, respectively. The recombinant plasmid was purified using the HiPure Plasmid Micro Kit (Magen, Guangzhou, China) and the concentration was determined using NanoDrop spectrophotometer (Thermo Scientific, United States). Finally, the concentration was converted into a copy number using the following formula:</p><disp-formula id="E1">
<mml:math id="M1">
<mml:mi>y</mml:mi>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mi mathvariant="normal">copies</mml:mi>
<mml:mo stretchy="true">/</mml:mo>
<mml:mi mathvariant="italic">&#x03BC;L</mml:mi>
</mml:mrow>
</mml:mfenced>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mn>6.02</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:msup>
<mml:mn>10</mml:mn>
<mml:mn>23</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfenced>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mspace width="thickmathspace"/>
<mml:mi mathvariant="normal">ng</mml:mi>
<mml:mo stretchy="true">/</mml:mo>
<mml:mi mathvariant="italic">&#x03BC;L</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:msup>
<mml:mn>10</mml:mn>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>9</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">D</mml:mi>
<mml:mi mathvariant="normal">N</mml:mi>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mspace width="thickmathspace"/>
<mml:mi mathvariant="normal">length</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>660</mml:mn>
</mml:mrow>
</mml:mfrac>
</mml:math>
</disp-formula>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Multiplex qPCR assay optimization</title>
<p>We further optimized the conditions for multiple qPCR, including annealing temperature and primer concentration. The standard plasmids were 10-fold serial diluted from 1&#x202F;&#x00D7;&#x202F;10<sup>6</sup> copies/&#x03BC;L down to 1&#x202F;&#x00D7;&#x202F;10<sup>2</sup> copies/&#x03BC;L as amplification templates. The reaction system was 20&#x202F;&#x03BC;L, including 10&#x202F;&#x03BC;L of 2&#x202F;&#x00D7;&#x202F;ChamQ Universal SYBR qPCR Master Mix (Vazyme, Nanjing, China), 2&#x202F;&#x03BC;L of standard plasmid as a template, different final concentrations of primers, and nuclease-free water. A matrix approach was then used to explore the optimal reaction conditions for this multiple reaction: annealing temperatures of 50, 55, and 60&#x00B0;C; and final primer concentrations of 100&#x202F;nM-350&#x202F;nM at five dilutions. Amplification conditions were pre-denaturation at 95&#x00B0;C for 5&#x202F;min, followed by 40&#x202F;cycles of 95&#x00B0;C for 10&#x202F;s, and annealing between 50&#x00B0;C and 60&#x00B0;C for 30s. Fluorescence signals were collected by a LightCycler&#x00AE; 96 thermal cycler Instrument (Roche Applied Science, Penzberg, Germany). The system was optimized by generating the lowest threshold cycle (Ct) and the highest cycle increase (&#x0394;Rn) for each specific fluorescent signal.</p>
<p>Based on the results of the amplification, the optimal annealing temperature was selected, and the proportions of primers numbered 4, 5, and 6, 7, were adjusted until a clear double-peak melting curve appeared and corresponded to good amplification efficiency. The primer proportions at this point were considered the optimal primer proportions.</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Standard curve construction</title>
<p>The standard plasmids were continuously diluted tenfold from 1&#x202F;&#x00D7;&#x202F;10<sup>6</sup> copies/&#x03BC;L to 1&#x202F;&#x00D7;&#x202F;10<sup>2</sup> copies/&#x03BC;L. Under optimal reaction conditions and systems, these five concentrations of standard plasmid were used as templates to construct the standard curve. The standard curve was plotted using GraphPad Prism software (version 8).</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Specificity, sensitivity, repeatability assay</title>
<p>To evaluate the specificity of multiplex qPCR assay, DNA or cDNA of PEDV, TGEV, PRV and PCV2 extracted from the vaccine strains were used as templates, using standard plasmids PMD-HP, PMD-NL, PMD-EU, and PMD-US as positive controls and ddH<sub>2</sub>O as a negative control, and the specificity was verified with qPCR assay under the optimal reaction condition and system. In order to determine the detection limit of the developed detection method in this study, the standard plasmids were continuously diluted tenfold from 10<sup>6</sup> copies/&#x03BC;L to 10<sup>0</sup> copies/&#x03BC;L. And qPCR amplification was performed in the optimum reaction conditions and system. Each concentration was tested in triplicate to eliminate differences caused by technical and operational factors.</p>
<p>Finally, in order to assess the reproducibility of the method, the four varieties of standard plasmids (10<sup>1</sup> copies/&#x03BC;L to 10<sup>6</sup> copies/&#x03BC;L) were used as templates to evaluate intra- and inter-assay reproducibility. For intra-assay reproducibility, each dilution was replicated three times daily under identical conditions. For inter-assay reproducibility, according to MIQE guidelines (<xref ref-type="bibr" rid="ref16">16</xref>), each dilution was tested in six independent experiments performed by two operators on different days. Coefficients of variation of the Ct values were calculated based on the intra-assay or inter-assay results.</p>
</sec>
<sec id="sec10">
<label>2.8</label>
<title>Comparison and verification of detection performance</title>
<p>To verify the detection performance of this method, we compared and validated the detection method established in this study with commercial detection kits. Differential diagnosis of PRRSV was performed using the commercial kit VetMAX PRRSV EU&#x0026;NA 2.0 Kit (Thermo, United States, A35751) according to the manufacturer&#x2019;s instructions.</p>
<p>For sensitivity comparison experiments, four standard plasmids (PMD-EU, PMD-US, PMD-HP, and PMD-NL) (10<sup>1</sup> copies/&#x03BC;L to 10<sup>3</sup> copies/&#x03BC;L) were used as templates for evaluation (<italic>n</italic>&#x202F;=&#x202F;24 for each plasmid and concentration, and <italic>n</italic>&#x202F;=&#x202F;24 for negative controls). For specificity comparative experiments, nucleic acids from PRRSV, PEDV, TGEV, PRV, and PCV2 were used as templates for evaluation (<italic>n</italic>&#x202F;=&#x202F;24 for each virus, and <italic>n</italic>&#x202F;=&#x202F;24 for negative controls). For reliability comparison tests, we evaluated the nucleic acids of PRRSV-1 (<italic>n</italic>&#x202F;=&#x202F;15), PRRSV-2 (<italic>n</italic>&#x202F;=&#x202F;15), HP-PRRSV (<italic>n</italic>&#x202F;=&#x202F;15), NL-PRRSV (<italic>n</italic>&#x202F;=&#x202F;15) positive samples, and PRRSV negative samples (<italic>n</italic>&#x202F;=&#x202F;15) previously stored in our laboratory. It should be noted that because of the low prevalence of PRRSV-1 in mainland China in recent years, we divided the only PRRSV-1 nucleic acid sample into 15 parts to expand the number of positive samples.</p>
<p>Finally, we calculated the agreement rate between our detection method and commercial reagent kits (the total number of true positives and true negatives/the sum of true positives, true negatives, false positives, and false negatives) to demonstrate the detection performance of our constructed method.</p>
</sec>
<sec id="sec11">
<label>2.9</label>
<title>Clinical sample detection</title>
<p>Between 2021 and 2023, a total of 316 clinical samples, including 139 tissues samples, 78 blood samples and 99 serum samples, were collected from swine farms in 14 cities in Guangdong Province, China (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The detailed information of the samples was listed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>. These samples were subsequently analyzed to determine the infection positivity rate of different lineages using the established multiplex qPCR assay.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>The geographic distribution of the clinical samples analyzed in this study. Sample size from each city was indicated with color depth on the map. The intensity of the color correlates to the number of samples, with darker shades indicating a higher number of samples.</p>
</caption>
<graphic xlink:href="fvets-12-1495128-g001.tif"/>
</fig>
</sec>
<sec id="sec12">
<label>2.10</label>
<title>The complete ORF5 gene amplification and sequencing</title>
<p>Next, the complete ORF5 gene sequences of representative positive samples were amplified using primer pairs 1, 2 and 3 from <xref ref-type="table" rid="tab1">Table 1</xref>. The reaction system was 50&#x202F;&#x03BC;L, containing 25&#x202F;&#x03BC;L of 2&#x202F;&#x00D7;&#x202F;KeyPo SE Master Mix (Dye Plus) (Vazyme, Nanjing, China), 2&#x202F;&#x03BC;L of template cDNA, 10&#x202F;&#x03BC;M forward and reverse primers with 2&#x202F;&#x03BC;L each, and the remaining was added to ddH<sub>2</sub>O. The PCR reaction for ORF5 gene was executed by pre-denaturation at 94&#x00B0;C for 2&#x202F;min, followed by 35&#x202F;cycles of 98&#x00B0;C for 10&#x202F;s, 55&#x00B0;C (other PRRSV strains) or 45&#x00B0;C (NL-PRRSV) for 30&#x202F;s, and 68&#x00B0;C for 15&#x202F;s. The PCR products were then purified using the Magen Gel DNA Recovery Kit (Magen, Guangzhou, China) according the manufacturer&#x2019;s instructions. The purified PCR products were cloned using a pGM-T cloning kit (Tiangen, Beijing, China), and propagated in DH5&#x03B1; competent cells (Vazyme, Nanjing, China) according to the manufacturer&#x2019;s instructions. Positive clones were sequenced by Beijing Tsingke Biotech Co., Ltd. The obtained complete ORF5 gene sequences were edited and assembled using DNAstar V7.1 software.</p>
</sec>
<sec id="sec13">
<label>2.11</label>
<title>Phylogenetic analysis</title>
<p>In order to further investigate the genetic characteristics of PRRSV in the surveyed regions of Guangdong Province, a total of 13 complete ORF5 gene sequences of representative PRRSV strains were obtained in this study and uploaded to NCBI GenBank with accession numbers OR539223-OR539235. The complete ORF5 gene sequences of PRRSV were aligned with the relevant reference sequences in GenBank using MAFFT version 7.487 with the parameter L-INS-I. Phylogenetic trees were generated by the neighbor-joining (NJ) method in MEGA X with the bootstrap of 1,000 replicates. Details of the reference sequence were listed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>.</p>
</sec>
<sec id="sec14">
<label>2.12</label>
<title>Data&#x2013;statistical analysis</title>
<p>In the specificity and repeatability tests, we conducted three tests on each sample, and the final results were expressed as mean&#x202F;&#x00B1;&#x202F;standard deviation. In the repeatability test, we determined the differences within and between groups by calculating the coefficient of variation (CV). In addition, the data and statistical analyses of PRRSV prevalence were estimated from the ratio of positive samples to the total number of samples analyzed, with a binomial confidence interval of 95%. The data were analyzed using Microsoft Excel 2019 and SPSS version 27.0.</p>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<label>3</label>
<title>Results</title>
<sec id="sec16">
<label>3.1</label>
<title>Optimization of qPCR reaction conditions</title>
<p>Annealing temperatures of 50, 55, and 60&#x00B0;C, and primer final concentrations of 100&#x2013;350&#x202F;nM were selected for the two types of duplex qPCR system optimization. According to the optimization results, the annealing temperature was determined to be 55&#x00B0;C for NL-PRRSV and HP-PRRSV (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S4</xref>), 50&#x00B0;C for PRRSV-1 and PRRSV-2 (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S5</xref>). The final primer concentrations for NL-PRRSV, HP-PRRSV, PRRSV-1, and PRRSV-2 were 250, 250, 200, and 300&#x202F;nM, respectively (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Optimization of primer concentrations of duplex qPCR assay.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Primer concenteation (nM)</th>
<th align="left" valign="middle" rowspan="2">Template</th>
<th align="center" valign="middle" colspan="5">Plasmid concentration(copies/&#x03BC;L)</th>
<th align="center" valign="middle" rowspan="2">Amplification efficiency (%)</th>
</tr>
<tr>
<th align="center" valign="middle">1&#x202F;&#x00D7;&#x202F;10<sup>6</sup></th>
<th align="center" valign="middle">1&#x202F;&#x00D7;&#x202F;10<sup>5</sup></th>
<th align="center" valign="middle">1&#x202F;&#x00D7;&#x202F;10<sup>4</sup></th>
<th align="center" valign="middle">1&#x202F;&#x00D7;&#x202F;10<sup>3</sup></th>
<th align="center" valign="middle">1&#x202F;&#x00D7;&#x202F;10<sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="4">100</td>
<td align="left" valign="middle">NL-PRRSV</td>
<td align="char" valign="middle" char=".">17.09</td>
<td align="char" valign="middle" char=".">20.64</td>
<td align="char" valign="middle" char=".">24.31</td>
<td align="char" valign="middle" char=".">27.77</td>
<td align="char" valign="middle" char=".">32.40</td>
<td align="char" valign="middle" char=".">84.03</td>
</tr>
<tr>
<td align="left" valign="middle">HP-PRRSV</td>
<td align="char" valign="middle" char=".">15.81</td>
<td align="char" valign="middle" char=".">19.42</td>
<td align="char" valign="middle" char=".">23.13</td>
<td align="char" valign="middle" char=".">26.83</td>
<td align="char" valign="middle" char=".">30.69</td>
<td align="char" valign="middle" char=".">85.78</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-1</td>
<td align="char" valign="middle" char=".">20.67</td>
<td align="char" valign="middle" char=".">24.25</td>
<td align="char" valign="middle" char=".">27.51</td>
<td align="char" valign="middle" char=".">31.15</td>
<td align="char" valign="middle" char=".">33.03</td>
<td align="char" valign="middle" char=".">107.11</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-2</td>
<td align="char" valign="middle" char=".">18.91</td>
<td align="char" valign="middle" char=".">23.21</td>
<td align="char" valign="middle" char=".">27.53</td>
<td align="char" valign="middle" char=".">31.89</td>
<td align="char" valign="middle" char=".">35.30</td>
<td align="char" valign="middle" char=".">74.26</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">150</td>
<td align="left" valign="middle">NL-PRRSV</td>
<td align="char" valign="middle" char=".">16.11</td>
<td align="char" valign="middle" char=".">19.47</td>
<td align="char" valign="middle" char=".">22.67</td>
<td align="char" valign="middle" char=".">26.38</td>
<td align="char" valign="middle" char=".">30.60</td>
<td align="char" valign="middle" char=".">89.93</td>
</tr>
<tr>
<td align="left" valign="middle">HP-PRRSV</td>
<td align="char" valign="middle" char=".">15.27</td>
<td align="char" valign="middle" char=".">18.75</td>
<td align="char" valign="middle" char=".">22.17</td>
<td align="char" valign="middle" char=".">25.63</td>
<td align="char" valign="middle" char=".">29.18</td>
<td align="char" valign="middle" char=".">94.18</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-1</td>
<td align="char" valign="middle" char=".">20.57</td>
<td align="char" valign="middle" char=".">23.92</td>
<td align="char" valign="middle" char=".">27.13</td>
<td align="char" valign="middle" char=".">30.90</td>
<td align="char" valign="middle" char=".">34.47</td>
<td align="char" valign="middle" char=".">93.87</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-2</td>
<td align="char" valign="middle" char=".">17.09</td>
<td align="char" valign="middle" char=".">20.67</td>
<td align="char" valign="middle" char=".">24.49</td>
<td align="char" valign="middle" char=".">28.50</td>
<td align="char" valign="middle" char=".">31.92</td>
<td align="char" valign="middle" char=".">84.80</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">200</td>
<td align="left" valign="middle">NL-PRRSV</td>
<td align="char" valign="middle" char=".">15.80</td>
<td align="char" valign="middle" char=".">18.66</td>
<td align="char" valign="middle" char=".">22.22</td>
<td align="char" valign="middle" char=".">25.47</td>
<td align="char" valign="middle" char=".">29.46</td>
<td align="char" valign="middle" char=".">96.34</td>
</tr>
<tr>
<td align="left" valign="middle">HP-PRRSV</td>
<td align="char" valign="middle" char=".">15.00</td>
<td align="char" valign="middle" char=".">18.52</td>
<td align="char" valign="middle" char=".">21.88</td>
<td align="char" valign="middle" char=".">24.76</td>
<td align="char" valign="middle" char=".">28.54</td>
<td align="char" valign="middle" char=".">99.57</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-1</td>
<td align="char" valign="middle" char=".">20.46</td>
<td align="char" valign="middle" char=".">23.63</td>
<td align="char" valign="middle" char=".">27.08</td>
<td align="char" valign="middle" char=".">30.42</td>
<td align="char" valign="middle" char=".">33.95</td>
<td align="char" valign="middle" char=".">97.74</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-2</td>
<td align="char" valign="middle" char=".">16.29</td>
<td align="char" valign="middle" char=".">19.76</td>
<td align="char" valign="middle" char=".">23.25</td>
<td align="char" valign="middle" char=".">27.01</td>
<td align="char" valign="middle" char=".">30.24</td>
<td align="char" valign="middle" char=".">92.53</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">250</td>
<td align="left" valign="middle">NL-PRRSV</td>
<td align="char" valign="middle" char=".">15.41</td>
<td align="char" valign="middle" char=".">18.72</td>
<td align="char" valign="middle" char=".">21.97</td>
<td align="char" valign="middle" char=".">25.19</td>
<td align="char" valign="middle" char=".">29.08</td>
<td align="char" valign="middle" char=".">97.61</td>
</tr>
<tr>
<td align="left" valign="middle">HP-PRRSV</td>
<td align="char" valign="middle" char=".">15.25</td>
<td align="char" valign="middle" char=".">18.52</td>
<td align="char" valign="middle" char=".">21.82</td>
<td align="char" valign="middle" char=".">25.10</td>
<td align="char" valign="middle" char=".">28.61</td>
<td align="char" valign="middle" char=".">99.66</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-1</td>
<td align="char" valign="middle" char=".">20.57</td>
<td align="char" valign="middle" char=".">23.94</td>
<td align="char" valign="middle" char=".">27.06</td>
<td align="char" valign="middle" char=".">30.86</td>
<td align="char" valign="middle" char=".">35.41</td>
<td align="char" valign="middle" char=".">87.59</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-2</td>
<td align="char" valign="middle" char=".">15.95</td>
<td align="char" valign="middle" char=".">19.33</td>
<td align="char" valign="middle" char=".">22.78</td>
<td align="char" valign="middle" char=".">26.48</td>
<td align="char" valign="middle" char=".">29.68</td>
<td align="char" valign="middle" char=".">94.49</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">300</td>
<td align="left" valign="middle">NL-PRRSV</td>
<td align="char" valign="middle" char=".">15.17</td>
<td align="char" valign="middle" char=".">18.15</td>
<td align="char" valign="middle" char=".">21.55</td>
<td align="char" valign="middle" char=".">25.01</td>
<td align="char" valign="middle" char=".">28.97</td>
<td align="char" valign="middle" char=".">95.07</td>
</tr>
<tr>
<td align="left" valign="middle">HP-PRRSV</td>
<td align="char" valign="middle" char=".">15.05</td>
<td align="char" valign="middle" char=".">18.52</td>
<td align="char" valign="middle" char=".">21.86</td>
<td align="char" valign="middle" char=".">25.22</td>
<td align="char" valign="middle" char=".">28.51</td>
<td align="char" valign="middle" char=".">98.34</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-1</td>
<td align="char" valign="middle" char=".">20.39</td>
<td align="char" valign="middle" char=".">23.58</td>
<td align="char" valign="middle" char=".">26.90</td>
<td align="char" valign="middle" char=".">30.78</td>
<td align="char" valign="middle" char=".">35.56</td>
<td align="char" valign="middle" char=".">84.67</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-2</td>
<td align="char" valign="middle" char=".">15.71</td>
<td align="char" valign="middle" char=".">19.02</td>
<td align="char" valign="middle" char=".">22.47</td>
<td align="char" valign="middle" char=".">26.06</td>
<td align="char" valign="middle" char=".">29.11</td>
<td align="char" valign="middle" char=".">97.47</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">350</td>
<td align="left" valign="middle">NL-PRRSV</td>
<td align="char" valign="middle" char=".">15.06</td>
<td align="char" valign="middle" char=".">18.04</td>
<td align="char" valign="middle" char=".">21.42</td>
<td align="char" valign="middle" char=".">24.89</td>
<td align="char" valign="middle" char=".">28.78</td>
<td align="char" valign="middle" char=".">95.70</td>
</tr>
<tr>
<td align="left" valign="middle">HP-PRRSV</td>
<td align="char" valign="middle" char=".">15.35</td>
<td align="char" valign="middle" char=".">18.66</td>
<td align="char" valign="middle" char=".">21.91</td>
<td align="char" valign="middle" char=".">25.18</td>
<td align="char" valign="middle" char=".">28.50</td>
<td align="char" valign="middle" char=".">101.70</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-1</td>
<td align="char" valign="middle" char=".">20.37</td>
<td align="char" valign="middle" char=".">23.54</td>
<td align="char" valign="middle" char=".">26.89</td>
<td align="char" valign="middle" char=".">30.75</td>
<td align="char" valign="middle" char=".">35.43</td>
<td align="char" valign="middle" char=".">85.31</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-2</td>
<td align="char" valign="middle" char=".">15.72</td>
<td align="char" valign="middle" char=".">18.87</td>
<td align="char" valign="middle" char=".">22.34</td>
<td align="char" valign="middle" char=".">26.03</td>
<td align="char" valign="middle" char=".">29.18</td>
<td align="char" valign="middle" char=".">96.52</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>After optimization, the two types of duplex qPCR enable simultaneous detection of all target nucleic acids. Consequently, the finalized amplification systems for the two types of duplex-qPCRs were established as follows: for NL-PRRSV and HP-PRRSV, 10&#x202F;&#x03BC;L of 2&#x202F;&#x00D7;&#x202F;ChamQ Universal SYBR qPCR Master Mix, 250&#x202F;nM HP-PRRSV primer, and 250&#x202F;nM NL-PRRSV primer, 2&#x202F;&#x03BC;L of template, the remaining volume was made up to 20&#x202F;&#x03BC;L with ddH<sub>2</sub>O. For PRRSV-1 and PRRSV-2, 10&#x202F;&#x03BC;L of 2&#x202F;&#x00D7;&#x202F;ChamQ Universal SYBR qPCR Master Mix, 200&#x202F;nM PRRSV-1 primer, and 300&#x202F;nM PRRSV-2 primer, 2&#x202F;&#x03BC;L of template, the remaining volume was made up to 20&#x202F;&#x03BC;L with ddH<sub>2</sub>O.</p>
<p>The optimal reaction conditions were pre-denaturation at 95&#x00B0;C for 10&#x202F;s, followed by 40&#x202F;cycles of 95&#x00B0;C for 10&#x202F;s and 50&#x00B0;C (PRRSV-1 and PRRSV-2) or 55&#x00B0;C (NL-PRRSV and HP-PRRSV) for 30&#x202F;s. The fluorescence signals were captured with a real-time qPCR instrument from Roche for the entire duration of the study.</p>
<p>According to the calculations by oligo 7.0 software, the expected Tm values of the primer pairs used for differential diagnosis in this study were 79&#x00B0;C (PRRSV-1), 84&#x00B0;C (PRRSV-2), 84&#x00B0;C (NL-PRRSV), and 88&#x00B0;C (HP-PRRSV), respectively. These values were used to distinguish PRRSV-1, PRRSV-2, NL-PRRSV, and HP-PRRSV. It is worth noting that in actual testing, there is a deviation between the Tm values and the expected values. The actual Tm values (mean&#x202F;&#x00B1;&#x202F;SD) were as follows: 79.71&#x202F;&#x00B1;&#x202F;0.23&#x00B0;C (PRRSV-1), 84.43&#x202F;&#x00B1;&#x202F;0.12&#x00B0;C (PRRSV-2), 84.34&#x202F;&#x00B1;&#x202F;0.26&#x00B0;C (NL-PRRSV), and 87.86&#x202F;&#x00B1;&#x202F;0.13&#x00B0;C (HP-PRRSV), respectively.</p>
</sec>
<sec id="sec17">
<label>3.2</label>
<title>Duplex qPCR assay standard curve</title>
<p>The recombinant standard plasmid, diluted to 1&#x202F;&#x00D7;&#x202F;10<sup>6</sup> to 1&#x202F;&#x00D7;&#x202F;10<sup>2</sup> copies/&#x03BC;L in a 10-fold gradient, was amplified using the two types of duplex qPCR assay according to the optimal reaction system and reaction procedure. The standard curve was established using obtained Ct values as the y axis coordinates and the logarithm of the plasmid concentration as the x axis coordinates. All standard curves had good correlation coefficients and amplification efficiencies. The slopes, correlation coefficient (<italic>R</italic><sup>2</sup>), and amplification efficiency (Eff%) were as follows: NL-PRRSV (&#x2212;3.381, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.9987, and Eff%&#x202F;=&#x202F;97.59), HP-PRRSV (&#x2212;3.330, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.9998, and Eff%&#x202F;=&#x202F;99.66), PRRSV-1 (&#x2212;3.377, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.9997, and Eff%&#x202F;=&#x202F;97.75), and PRRSV-2 (&#x2212;3.515, <italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.9996, and Eff%&#x202F;=&#x202F;92.53) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Standard curves of duplex qPCR assay. <bold>(A)</bold> PRRSV-1/PRRSV-2 duplex qPCR Standard Curve. <bold>(B)</bold> HP-PRRSV/NL-PRRSV duplex qPCR Standard Curve. Serial 10-fold dilutions of the standard plasmid were generated at final concentrations of 1&#x202F;&#x00D7;&#x202F;10<sup>6</sup>&#x2013;1&#x202F;&#x00D7;&#x202F;10<sup>2</sup> copies/&#x03BC;L. Data are from three independent studies. The threshold cycles (Ct) from the duplex qPCR assay are plotted against the log numbers of the standards. Mean&#x202F;&#x00B1;&#x202F;standard deviations are shown for each individual study.</p>
</caption>
<graphic xlink:href="fvets-12-1495128-g002.tif"/>
</fig>
</sec>
<sec id="sec18">
<label>3.3</label>
<title>Duplex qPCR assay sensitivity</title>
<p>To assess the sensitivity of our developed qPCR assay method, the two types of duplex qPCR were performed using standard plasmids with concentrations ranging from 1&#x202F;&#x00D7;&#x202F;10<sup>6</sup> to 1&#x202F;&#x00D7;&#x202F;10<sup>0</sup> copies/&#x03BC;L. The results showed that the established detection limit for PRRSV-1 was determined to be 10<sup>2</sup> copies/&#x03BC;L (<xref ref-type="fig" rid="fig3">Figure 3C</xref>), and the detection limits for NL-PRRSV (<xref ref-type="fig" rid="fig3">Figure 3A</xref>), HP-PRRSV (<xref ref-type="fig" rid="fig3">Figure 3B</xref>), and PRRSV-2 (<xref ref-type="fig" rid="fig3">Figure 3D</xref>) were ascertained to be 10<sup>1</sup> copies/&#x03BC;L, suggesting that our duplex qPCR methods have a good sensitivity.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Sensitivity analysis of double qPCR assay. Serial 10-fold dilutions of the standard plasmid were generated at final concentrations of 1&#x202F;&#x00D7;&#x202F;10<sup>6</sup> to 1&#x202F;&#x00D7;&#x202F;10<sup>0</sup> copies/&#x03BC;L. The qPCR assays have the detection limit at 1&#x202F;&#x00D7;&#x202F;10<sup>2</sup> (PRRSV-1) or 1&#x202F;&#x00D7;&#x202F;10<sup>1</sup> (PRRSV-2, HP-PRRSV, and NL-PRRSV) copies/&#x03BC;L for each types of PRRSV. <bold>(A)</bold> Sensitivity analysis of NL-PRRSV. <bold>(B)</bold> Sensitivity analysis of HP-PRRSV. <bold>(C)</bold> Sensitivity analysis of PRRSV-1. <bold>(D)</bold> Sensitivity analysis of PRRSV-2. <bold>(E)</bold> Melting curves of NL-PRRSV. <bold>(F)</bold> Melting curve of HP-PRRSV. <bold>(G)</bold> Melting curves of PRRSV-1. <bold>(H)</bold> Melting curves of PRRSV-2.</p>
</caption>
<graphic xlink:href="fvets-12-1495128-g003.tif"/>
</fig>
<p>Furthermore, clear distinctions between HP-PRRSV (<xref ref-type="fig" rid="fig3">Figure 3E</xref>) and NL-PRRSV (<xref ref-type="fig" rid="fig3">Figure 3F</xref>), as well as between PRRSV-1 (<xref ref-type="fig" rid="fig3">Figure 3G</xref>) and PRRSV-2 (<xref ref-type="fig" rid="fig3">Figure 3H</xref>), were observable based on the derived melting curves. In conclusion, we suggested that both duplex SYBR Green qPCR assay methods demonstrated excellent detection and discrimination capabilities.</p>
</sec>
<sec id="sec19">
<label>3.4</label>
<title>Duplex qPCR assay specificity</title>
<p>To further assess the specificity of the duplex qPCR assay methods, the recombinant standard plasmids PMD-EU, PMD-US, PMD-HP, and PMD-NL were employed as positive controls. DNA or cDNA extracted from PEDV, TGEV, PRV and PCV2 vaccines were used as templates, and ddH<sub>2</sub>O was used as a negative control. SYBR Green qPCR was performed using the optimal conditions of amplification. The outcomes demonstrated that this technique specifically identified the nucleic acids of PRRSV-1, PRRSV-2, HP-PRRSV, and NL-PRRSV exclusively in the positive control plasmids (<xref ref-type="fig" rid="fig4">Figure 4</xref>), with no amplification detected for the other viral pathogens (<xref ref-type="table" rid="tab3">Table 3</xref>). These results suggest that our identification assays are highly specific.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Specificity analysis of double qPCR assay. When PMD-EU, PMD-US, PMD-HP, and PMD-NL plasmid were used, fluorescent signals were specifically detected, respectively. No specific fluorescence signal was obtained when testing other viruses (PEDV, TGEV, PRV and PCV2) and negative controls.</p>
</caption>
<graphic xlink:href="fvets-12-1495128-g004.tif"/>
</fig>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>CT values and melting peaks of specificity analysis of duplex qPCR.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Pathogen</th>
<th align="center" valign="top">CT Value</th>
<th align="center" valign="top">Melting peaks</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">NL-PRRSV</td>
<td align="char" valign="middle" char="&#x00B1;">17.40 &#x00B1; 0.16</td>
<td align="center" valign="middle">84&#x00B0;C</td>
</tr>
<tr>
<td align="left" valign="middle">HP-PRRSV</td>
<td align="char" valign="middle" char="&#x00B1;">17.40 &#x00B1; 0.16</td>
<td align="center" valign="middle">88&#x00B0;C</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-1</td>
<td align="char" valign="middle" char="&#x00B1;">18.47 &#x00B1; 0.11</td>
<td align="center" valign="middle">79&#x00B0;C</td>
</tr>
<tr>
<td align="left" valign="middle">PRRSV-2</td>
<td align="char" valign="middle" char="&#x00B1;">18.47 &#x00B1; 0.11</td>
<td align="center" valign="middle">84&#x00B0;C</td>
</tr>
<tr>
<td align="left" valign="middle">PEDV</td>
<td align="char" valign="middle" char="&#x00B1;">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">TEGV</td>
<td align="char" valign="middle" char="&#x00B1;">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">PRV</td>
<td align="char" valign="middle" char="&#x00B1;">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">PCV2</td>
<td align="char" valign="middle" char="&#x00B1;">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec20">
<label>3.5</label>
<title>Duplex qPCR assay repeatability</title>
<p>The repeatability and reproducibility of the constructed duplex SYBR Green qPCR assay were assessed using the recombinant standard plasmids, which were diluted in a 10-fold gradient from 10<sup>6</sup> copies/&#x03BC;L to 10<sup>1</sup> copies/&#x03BC;L as templates. As shown in <xref ref-type="table" rid="tab4">Table 4</xref>, the results revealed that the coefficient of variation (CV) for both intra-assay and inter-assay replicates of the CT values ranged from 0.02 to 2.12% and 0.02 to 2.28%, respectively. These results indicate that our qPCR assay established in this study has good reproducibility and reliability.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Repeatability and reproducibility analyses of duplex qPCR assay.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Template</th>
<th align="center" valign="middle" rowspan="2">Plasmid concentration(copies/&#x03BC;L)</th>
<th align="center" valign="middle" colspan="2">Intra reproductivity</th>
<th align="center" valign="middle" colspan="2">Inter reproductivity</th>
</tr>
<tr>
<th align="center" valign="middle">Mean&#x202F;&#x00B1;&#x202F;S.D.</th>
<th align="center" valign="middle">CV (%)</th>
<th align="center" valign="middle">Mean&#x202F;&#x00B1;&#x202F;S.D.</th>
<th align="center" valign="middle">CV (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="6">PRRSV-1</td>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>6</sup></td>
<td align="char" valign="middle" char="&#x00B1;">20.93 &#x00B1; 0.190</td>
<td align="char" valign="middle" char=".">0.91%</td>
<td align="char" valign="middle" char="&#x00B1;">20.79 &#x00B1; 0.150</td>
<td align="char" valign="middle" char=".">0.72%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>5</sup></td>
<td align="char" valign="middle" char="&#x00B1;">24.25 &#x00B1; 0.060</td>
<td align="char" valign="middle" char=".">0.25%</td>
<td align="char" valign="middle" char="&#x00B1;">24.22 &#x00B1; 0.060</td>
<td align="char" valign="middle" char=".">0.25%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>4</sup></td>
<td align="char" valign="middle" char="&#x00B1;">27.80 &#x00B1; 0.005</td>
<td align="char" valign="middle" char=".">0.02%</td>
<td align="char" valign="middle" char="&#x00B1;">27.82 &#x00B1; 0.130</td>
<td align="char" valign="middle" char=".">0.47%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>3</sup></td>
<td align="char" valign="middle" char="&#x00B1;">31.50 &#x00B1; 0.170</td>
<td align="char" valign="middle" char=".">0.54%</td>
<td align="char" valign="middle" char="&#x00B1;">31.04 &#x00B1; 0.290</td>
<td align="char" valign="middle" char=".">0.93%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>2</sup></td>
<td align="char" valign="middle" char="&#x00B1;">35.44 &#x00B1; 0.200</td>
<td align="char" valign="middle" char=".">0.56%</td>
<td align="char" valign="middle" char="&#x00B1;">33.82 &#x00B1; 0.280</td>
<td align="char" valign="middle" char=".">0.83%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>1</sup></td>
<td align="char" valign="middle" char="&#x00B1;">&#x2013;</td>
<td align="char" valign="middle" char=".">&#x2013;</td>
<td align="char" valign="middle" char="&#x00B1;">&#x2013;</td>
<td align="char" valign="middle" char=".">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="6">PRRSV-2</td>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>6</sup></td>
<td align="char" valign="middle" char="&#x00B1;">15.63 &#x00B1; 0.060</td>
<td align="char" valign="middle" char=".">0.38%</td>
<td align="char" valign="middle" char="&#x00B1;">15.78 &#x00B1; 0.080</td>
<td align="char" valign="middle" char=".">0.51%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>5</sup></td>
<td align="char" valign="middle" char="&#x00B1;">18.99 &#x00B1; 0.030</td>
<td align="char" valign="middle" char=".">0.16%</td>
<td align="char" valign="middle" char="&#x00B1;">19.02 &#x00B1; 0.060</td>
<td align="char" valign="middle" char=".">0.32%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>4</sup></td>
<td align="char" valign="middle" char="&#x00B1;">22.41 &#x00B1; 0.020</td>
<td align="char" valign="middle" char=".">0.09%</td>
<td align="char" valign="middle" char="&#x00B1;">22.46 &#x00B1; 0.060</td>
<td align="char" valign="middle" char=".">0.27%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>3</sup></td>
<td align="char" valign="middle" char="&#x00B1;">26.03 &#x00B1; 0.080</td>
<td align="char" valign="middle" char=".">0.31%</td>
<td align="char" valign="middle" char="&#x00B1;">26.04 &#x00B1; 0.040</td>
<td align="char" valign="middle" char=".">0.15%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>2</sup></td>
<td align="char" valign="middle" char="&#x00B1;">29.17 &#x00B1; 0.050</td>
<td align="char" valign="middle" char=".">0.17%</td>
<td align="char" valign="middle" char="&#x00B1;">29.16 &#x00B1; 0.120</td>
<td align="char" valign="middle" char=".">0.41%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>1</sup></td>
<td align="char" valign="middle" char="&#x00B1;">31.46 &#x00B1; 0.260</td>
<td align="char" valign="middle" char=".">0.83%</td>
<td align="char" valign="middle" char="&#x00B1;">31.77 &#x00B1; 0.090</td>
<td align="char" valign="middle" char=".">0.28%</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="6">HP-PRRSV</td>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>6</sup></td>
<td align="char" valign="middle" char="&#x00B1;">15.23 &#x00B1; 0.100</td>
<td align="char" valign="middle" char=".">0.65%</td>
<td align="char" valign="middle" char="&#x00B1;">15.11 &#x00B1; 0.010</td>
<td align="char" valign="middle" char=".">0.07%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>5</sup></td>
<td align="char" valign="middle" char="&#x00B1;">18.41 &#x00B1; 0.020</td>
<td align="char" valign="middle" char=".">0.11%</td>
<td align="char" valign="middle" char="&#x00B1;">18.34 &#x00B1; 0.110</td>
<td align="char" valign="middle" char=".">0.60%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>4</sup></td>
<td align="char" valign="middle" char="&#x00B1;">21.78 &#x00B1; 0.050</td>
<td align="char" valign="middle" char=".">0.23%</td>
<td align="char" valign="middle" char="&#x00B1;">21.75 &#x00B1; 0.090</td>
<td align="char" valign="middle" char=".">0.41%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>3</sup></td>
<td align="char" valign="middle" char="&#x00B1;">25.04 &#x00B1; 0.040</td>
<td align="char" valign="middle" char=".">0.16%</td>
<td align="char" valign="middle" char="&#x00B1;">24.99 &#x00B1; 0.090</td>
<td align="char" valign="middle" char=".">0.36%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>2</sup></td>
<td align="char" valign="middle" char="&#x00B1;">28.43 &#x00B1; 0.090</td>
<td align="char" valign="middle" char=".">0.32%</td>
<td align="char" valign="middle" char="&#x00B1;">28.45 &#x00B1; 0.060</td>
<td align="char" valign="middle" char=".">0.21%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>1</sup></td>
<td align="char" valign="middle" char="&#x00B1;">32.16 &#x00B1; 0.380</td>
<td align="char" valign="middle" char=".">1.18%</td>
<td align="char" valign="middle" char="&#x00B1;">31.95 &#x00B1; 0.230</td>
<td align="char" valign="middle" char=".">0.72%</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="6">NL-PRRSV</td>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>6</sup></td>
<td align="char" valign="middle" char="&#x00B1;">15.13 &#x00B1; 0.320</td>
<td align="char" valign="middle" char=".">2.12%</td>
<td align="char" valign="middle" char="&#x00B1;">15.36 &#x00B1; 0.110</td>
<td align="char" valign="middle" char=".">0.72%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>5</sup></td>
<td align="char" valign="middle" char="&#x00B1;">18.31 &#x00B1; 0.190</td>
<td align="char" valign="middle" char=".">1.04%</td>
<td align="char" valign="middle" char="&#x00B1;">18.11 &#x00B1; 0.290</td>
<td align="char" valign="middle" char=".">1.60%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>4</sup></td>
<td align="char" valign="middle" char="&#x00B1;">20.97 &#x00B1; 0.140</td>
<td align="char" valign="middle" char=".">0.67%</td>
<td align="char" valign="middle" char="&#x00B1;">21.03 &#x00B1; 0.480</td>
<td align="char" valign="middle" char=".">2.28%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>3</sup></td>
<td align="char" valign="middle" char="&#x00B1;">24.89 &#x00B1; 0.030</td>
<td align="char" valign="middle" char=".">0.12%</td>
<td align="char" valign="middle" char="&#x00B1;">24.88 &#x00B1; 0.005</td>
<td align="char" valign="middle" char=".">0.02%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>2</sup></td>
<td align="char" valign="middle" char="&#x00B1;">29.39 &#x00B1; 0.280</td>
<td align="char" valign="middle" char=".">0.95%</td>
<td align="char" valign="middle" char="&#x00B1;">29.25 &#x00B1; 0.040</td>
<td align="char" valign="middle" char=".">0.14%</td>
</tr>
<tr>
<td align="char" valign="middle" char="&#x00D7;">1 &#x00D7; 10<sup>1</sup></td>
<td align="char" valign="middle" char="&#x00B1;">32.26 &#x00B1; 0.210</td>
<td align="char" valign="middle" char=".">0.65%</td>
<td align="char" valign="middle" char="&#x00B1;">32.58 &#x00B1; 0.400</td>
<td align="char" valign="middle" char=".">1.23%</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec21">
<label>3.6</label>
<title>Comparison of duplex qPCR assay performance</title>
<p>By comparing with commercially available reagent kits, this study further validated the detection performance of the established duplex qPCR method, including sensitivity, specificity, and effectiveness. The results showed that when the nucleic acid content of PRRSV-1 was extremely low (&#x2264;10<sup>1</sup> copies/&#x03BC;L), the detection rate was lower than that of commercially available kits (<xref ref-type="table" rid="tab5">Table 5</xref>). However, when the nucleic acid concentration is &#x2265;10<sup>2</sup> copies/&#x03BC;L, the detection rate of PRRSV-1 is basically consistent with the commercially available kit, with a conformity rate of 97.9&#x2013;100% (<xref ref-type="table" rid="tab5">Table 5</xref>). For PRRSV-2, HP-PRRSV, and NL-PRRSV, even at a viral nucleic acid concentration of 10<sup>1</sup> copies/&#x03BC;L, the agreement rate between this method and the detection results of commercially available kits is 93.8&#x2013;95.8% (<xref ref-type="table" rid="tab5">Table 5</xref>). In terms of specificity, our method is basically consistent with the detection results of the kit, with a conformity rate of 95.8&#x2013;100% (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S6</xref>). In addition, in terms of effectiveness, the consistency rate between this differential diagnostic method and the kit is 93.3&#x2013;100% (<xref ref-type="table" rid="tab6">Table 6</xref>). In summary, the duplex qPCR method established by our research institute for differential diagnosis of PRRSV has high consistency with the detection results of commercially available kits.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>The consistency test results of sensitivity between this method and commercially available reagent kits.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Template</th>
<th align="center" valign="middle" rowspan="2">Plasmid concentration(copies/&#x03BC;L)</th>
<th align="center" valign="middle" colspan="4">VetMAX PRRSV EU&#x0026;NA 2.0 Kit</th>
</tr>
<tr>
<th/>
<th align="center" valign="middle">Positive</th>
<th align="center" valign="middle">Negative</th>
<th align="center" valign="middle">Agreement rate</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="6">PRRSV-1 (PMD-EU)</td>
<td align="center" valign="middle" rowspan="2">10<sup>1</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">54.2%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">10<sup>2</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">23</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">97.9%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">10<sup>3</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">100.0%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="6">PRRSV-2 (PMD-US)</td>
<td align="center" valign="middle" rowspan="2">10<sup>1</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">93.8%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">10<sup>2</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">23</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">97.9%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">10<sup>3</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">100.0%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="6">HP-PRRSV (PMD-HP)</td>
<td align="center" valign="middle" rowspan="2">10<sup>1</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">95.8%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">10<sup>2</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">95.8%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">10<sup>3</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">100.0%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="6">NL-PRRSV (PMD-NL)</td>
<td align="center" valign="middle" rowspan="2">10<sup>1</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">93.8%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">10<sup>2</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">23</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">97.9%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">24</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">10<sup>3</sup></td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">100.0%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">24</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>The consistency test results of effectiveness between this method and commercially available reagent kits.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Template</th>
<th align="center" valign="middle" colspan="4">VetMAX PRRSV EU&#x0026;NA 2.0 Kit</th>
</tr>
<tr>
<th/>
<th align="center" valign="middle">Positive</th>
<th align="center" valign="middle">Negative</th>
<th align="center" valign="middle">Agreement rate</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="2">PRRSV-1</td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">93.3%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">15</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">PRRSV-2</td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">96.7%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">15</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">HP-PRRSV</td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">100.0%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">15</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">NL-PRRSV</td>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">14</td>
<td align="center" valign="middle">0</td>
<td align="char" valign="middle" char="." rowspan="2">96.7%</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">15</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec22">
<label>3.7</label>
<title>Clinical sample detection</title>
<p>Three hundred and sixteen samples collected from different swine farms in Guangdong Province during 2021&#x2013;2023 were tested using the method established in this study, including serum, blood, and clinical tissue samples (<xref ref-type="table" rid="tab7">Table 7</xref>). Among the 316 samples, for blood samples, the PRRSV-2 positive rate was 11.54% (9/78), and all positive samples belonged to HP-PRRSV (<xref ref-type="table" rid="tab7">Table 7</xref>). For tissue samples, the positive rate for PRRSV-2 was 45.32% (63/139), with HP-PRRSV and NL-PRRSV being 28.78% (40/139) and 2.16% (3/139), respectively (<xref ref-type="table" rid="tab7">Table 7</xref>). On the contrary, positive samples were not detected in all serum samples.</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Detection results of different PPRSV in different types of pig samples.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Samples type</th>
<th align="center" valign="middle" colspan="4">Number of positive samples/Number of total samples (positive rate %, 95 CI)</th>
</tr>
<tr>
<th align="center" valign="middle">PRRSV-1</th>
<th align="center" valign="middle">PRRSV-2</th>
<th align="center" valign="middle">HP-PRRSV</th>
<th align="center" valign="middle">NL-PRRSV</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Blood</td>
<td align="char" valign="middle" char="(">0/78 (0%, 0&#x2013;4.6)</td>
<td align="char" valign="middle" char="(">9/78 (11.54%, 5.4&#x2013;20.8)</td>
<td align="char" valign="middle" char="(">9/78 (11.54%, 5.4&#x2013;20.8)</td>
<td align="char" valign="middle" char="(">0/78 (0%, 0&#x2013;4.6)</td>
</tr>
<tr>
<td align="left" valign="middle">Serum</td>
<td align="char" valign="middle" char="(">0/99 (0%, 0&#x2013;3.7)</td>
<td align="char" valign="middle" char="(">0/99 (0%, 0&#x2013;3.7)</td>
<td align="char" valign="middle" char="(">0/99 (0%, 0&#x2013;3.7)</td>
<td align="char" valign="middle" char="(">0/99 (0%, 0&#x2013;3.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Tissue</td>
<td align="char" valign="middle" char="(">0/139 (0%, 0&#x2013;2.6)</td>
<td align="char" valign="middle" char="(">63/139 (45.32%, 36.9&#x2013;54.0)</td>
<td align="char" valign="middle" char="(">40/139 (28.78%, 21.4&#x2013;37.1)</td>
<td align="char" valign="middle" char="(">3/139 (2.16%, 0.4&#x2013;6.2)</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="char" valign="middle" char="(">0/316 (0%, 0&#x2013;1.2)</td>
<td align="char" valign="middle" char="(">72/316 (22.78%, 18.3&#x2013;27.8)</td>
<td align="char" valign="middle" char="(">49/316 (15.51%, 11.7&#x2013;20)</td>
<td align="char" valign="middle" char="(">3/316 (0.95%, 0.2&#x2013;2.7)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In addition, the PRRSV-1 positive rate was 0% (0/316), and the PRRSV-2 positive rate was 22.78% (72/316) (<xref ref-type="table" rid="tab8">Table 8</xref>). Among all surveyed areas, the prevalence of PRRSV-2 in Yunfu was the highest, reaching 78.43% (40/51), followed by Heyuan (16.25%, 13/80) (<xref ref-type="table" rid="tab8">Table 8</xref>). It is worth noting that our results also indicated a positive rate of 15.51% (49/316) for highly pathogenic PRRSV, while 0.95% (3/316) for NADC30-like PRRSV (<xref ref-type="table" rid="tab8">Table 8</xref>). Moreover, Yunfu is also the city with the most severe HP-PRRSV epidemic, followed by Shanwei (<xref ref-type="table" rid="tab8">Table 8</xref>). However, during this investigation, no co-infection of different strains was found.</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>Summary of detection of different types of PRRSV in 316 pig samples.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">City</th>
<th align="center" valign="middle" colspan="4">Number of positive samples/Number of total samples (positive rate %, 95 CI)</th>
</tr>
<tr>
<th align="center" valign="middle">PRRSV-1</th>
<th align="center" valign="middle">PRRSV-2</th>
<th align="center" valign="middle">HP-PRRSV</th>
<th align="center" valign="middle">NL-PRRSV</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Chaozhou</td>
<td align="char" valign="middle" char="(">0/3 (0%, 0&#x2013;70.8)</td>
<td align="char" valign="middle" char="(">0/3 (0%, 0&#x2013;70.8)</td>
<td align="char" valign="middle" char="(">0/3 (0%, 0&#x2013;70.8)</td>
<td align="char" valign="middle" char="(">0/3 (0%, 0&#x2013;70.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Foshan</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
</tr>
<tr>
<td align="left" valign="middle">Guangzhou</td>
<td align="char" valign="middle" char="(">0/1 (0%, 0&#x2013;97.5)</td>
<td align="char" valign="middle" char="(">0/1 (0%, 0&#x2013;97.5)</td>
<td align="char" valign="middle" char="(">0/1 (0%, 0&#x2013;97.5)</td>
<td align="char" valign="middle" char="(">0/1 (0%, 0&#x2013;97.5)</td>
</tr>
<tr>
<td align="left" valign="middle">Heyuan</td>
<td align="char" valign="middle" char="(">0/80 (0%, 0&#x2013;4.5)</td>
<td align="char" valign="middle" char="(">13/80 (16.25%, 8.9&#x2013;26.2)</td>
<td align="char" valign="middle" char="(">0/80 (0%, 0&#x2013;4.5)</td>
<td align="char" valign="middle" char="(">0/80 (0%, 0&#x2013;4.5)</td>
</tr>
<tr>
<td align="left" valign="middle">Jiangmen</td>
<td align="char" valign="middle" char="(">0/49 (0%, 0&#x2013;7.3)</td>
<td align="char" valign="middle" char="(">1/49 (2.04%, 0.1&#x2013;10.9)</td>
<td align="char" valign="middle" char="(">0/49 (0%, 0&#x2013;7.3)</td>
<td align="char" valign="middle" char="(">1/49 (2.04%, 0.1&#x2013;10.9)</td>
</tr>
<tr>
<td align="left" valign="middle">Maoming</td>
<td align="char" valign="middle" char="(">0/13 (0%, 0&#x2013;24.7)</td>
<td align="char" valign="middle" char="(">8/13 (61.54%, 31.6&#x2013;86.1)</td>
<td align="char" valign="middle" char="(">0/13 (0%, 0&#x2013;24.7)</td>
<td align="char" valign="middle" char="(">2/13 (15.38%, 1.9&#x2013;45.4)</td>
</tr>
<tr>
<td align="left" valign="middle">Meizhou</td>
<td align="char" valign="middle" char="(">0/5 (0%, 0&#x2013;52.2)</td>
<td align="char" valign="middle" char="(">0/5 (0%, 0&#x2013;52.2)</td>
<td align="char" valign="middle" char="(">0/5 (0%, 0&#x2013;52.2)</td>
<td align="char" valign="middle" char="(">0/5 (0%, 0&#x2013;52.2)</td>
</tr>
<tr>
<td align="left" valign="middle">Qingyuan</td>
<td align="char" valign="middle" char="(">0/25 (0%, 0&#x2013;13.7)</td>
<td align="char" valign="middle" char="(">0/25 (0%, 0&#x2013;13.7)</td>
<td align="char" valign="middle" char="(">0/25 (0%, 0&#x2013;13.7)</td>
<td align="char" valign="middle" char="(">0/25 (0%, 0&#x2013;13.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Shantou</td>
<td align="char" valign="middle" char="(">0/4 (0%, 0&#x2013;60.2)</td>
<td align="char" valign="middle" char="(">0/4 (0%, 0&#x2013;60.2)</td>
<td align="char" valign="middle" char="(">0/4 (0%, 0&#x2013;60.2)</td>
<td align="char" valign="middle" char="(">0/4 (0%, 0&#x2013;60.2)</td>
</tr>
<tr>
<td align="left" valign="middle">Shanwei</td>
<td align="char" valign="middle" char="(">0/20 (0%, 0&#x2013;16.8)</td>
<td align="char" valign="middle" char="(">9/20 (45%, 23.1&#x2013;68.5)</td>
<td align="char" valign="middle" char="(">9/20 (45%, 23.1&#x2013;68.5)</td>
<td align="char" valign="middle" char="(">0/20 (0%, 0&#x2013;16.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Shaoguan</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
</tr>
<tr>
<td align="left" valign="middle">Yangjiang</td>
<td align="char" valign="middle" char="(">0/59 (0%, 0&#x2013;6.1)</td>
<td align="char" valign="middle" char="(">1/59 (1.69%, 0&#x2013;9.1)</td>
<td align="char" valign="middle" char="(">0/59 (0%, 0&#x2013;6.1)</td>
<td align="char" valign="middle" char="(">0/59 (0%, 0&#x2013;6.1)</td>
</tr>
<tr>
<td align="left" valign="middle">Yunfu</td>
<td align="char" valign="middle" char="(">0/51 (0%, 0&#x2013;7.0)</td>
<td align="char" valign="middle" char="(">40/51 (78.43%, 64.7&#x2013;88.7)</td>
<td align="char" valign="middle" char="(">40/51 (78.43%, 64.7&#x2013;88.7)</td>
<td align="char" valign="middle" char="(">0/51 (0%, 0&#x2013;7.0)</td>
</tr>
<tr>
<td align="left" valign="middle">Zhaoqing</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
<td align="char" valign="middle" char="(">0/2 (0%, 0&#x2013;84.2)</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="char" valign="middle" char="(">0316 (0%, 0&#x2013;1.2)</td>
<td align="char" valign="middle" char="(">72/316(22.78%, 18.3&#x2013;27.8)</td>
<td align="char" valign="middle" char="(">49/316(15.51%, 11.7&#x2013;20)</td>
<td align="char" valign="middle" char="(">3/316 (0.95%, 0.2&#x2013;2.7)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec23">
<label>3.8</label>
<title>PRRSV genetic characteristics in Guangdong</title>
<p>To further investigate the genetic characteristics of PRRSV in the surveyed regions of Guangdong Province, representative samples (<italic>n</italic>&#x202F;=&#x202F;13) from each region were selected for amplification and sequencing of the complete ORF5 fragment. A total of 13 complete ORF5 gene sequences of PRRSV were successfully obtained, each of which was 603&#x202F;nt in size, and have been archived in the GenBank database, with accession numbers OR539223 through OR539235.</p>
<p>Phylogenetic analysis revealed that the strains collected from Guangdong belonged to four lineages (1, 3, 5, and 8), with lineage 8 being the dominant strain, particularly sub-lineage 8.3 (<xref ref-type="fig" rid="fig5">Figure 5</xref>). Further analysis showed that highly pathogenic PRRSV was mainly prevalent in the Yunfu and Shanwei regions, while classical PRRSV was predominantly observed in the Yangjiang region. Additionally, lineage 3 strains were predominant in the Heyuan region. Notably, PRRSV circulating in the pig population in Maoming exhibited high genetic diversity, belonging to three different lineages: 1, 3, and 5 (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Phylogenetic tree based on ORF5 gene of PRRSV. The NJ tree was constructed using the Maximum Composite Likelihood model and bootstrapped at 1000 replicates. And bootstrap values less than 70 are not displayed. The different genotypes or lineages are represented by different colors as indicated in the figures. The PRRSV strains from Yunfu and Shanwei are indicated by black solid and hollow circles, respectively. The PRRSV strains from Yangjiang and Jiangmen are indicated by black solid and hollow rhombuses, respectively. The PRRSV strains from Maoming and Heyuan are indicated by black solid and hollow triangles, respectively.</p>
</caption>
<graphic xlink:href="fvets-12-1495128-g005.tif"/>
</fig>
<p>Nucleotide sequence analysis revealed that the HP-PRRSV strains shared 98.7&#x2013;99.3% complete nucleotide identity with highly pathogenic strain JXA1. However, the classical strain from this study shared 99.2% nucleotide identity with strain CH-1a. In addition, the strains of lineage 1, 3 and 5 shared 90.2&#x2013;91.7%, 90.9&#x2013;92.9 and 99.8% nucleotide identity with the reference strains of same lineage, respectively.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec24">
<label>4</label>
<title>Discussion</title>
<p>In the past 20&#x202F;years, PRRSV has remained one of the most significant diseases affecting the Chinese pig industry. Due to its diverse modes of transmission, frequent genetic mutations and recombination, immune suppression and evasion, antibody-dependent enhancement effect, and the lack of effective vaccines and antiviral drugs, substantial breakthroughs in PRRSV eradication in China have yet to be achieved. Currently, PRRSV prevention and control mainly rely on immunization with attenuated vaccines (<xref ref-type="bibr" rid="ref17">17</xref>), which exhibit limited cross-protection against heterologous strains.</p>
<p>To guide the formulation of vaccine immunization strategies, this study developed two duplex-fluorescence quantitative PCR methods based on SYBR Green I, capable of simultaneously detecting and distinguishing PRRSV-1 and PRRSV-2, as well as HP-PRRSV and NL-PRRSV. The method demonstrated a lower detection limit of 10<sup>1</sup> copies/&#x03BC;L to 10<sup>2</sup> copies/&#x03BC;L, along with good specificity and reproducibility. Importantly, this cost-effective method does not require stringent experimental conditions and can be easily implemented in primary pig farms, enabling the formulation of personalized PRRSV immunization strategies and aiding in the prevention and control of PRRSV.</p>
<p>Previous studies have indicated that the PRRSV nucleic acid positivity rate in certain regions of northern China (Shandong, Henan) (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref18 ref19 ref20 ref21">18&#x2013;21</xref>) (18.0&#x2013;36.7%) was higher than that in southern China (Guangdong) (12.07%) (<xref ref-type="bibr" rid="ref22 ref23 ref24">22&#x2013;24</xref>). In contrast, in this study, the PRRSV positivity rate in certain regions of Guangdong Province was 22.78%, which is similar to the positivity rate in northern regions of China. This discrepancy may be attributed to variations in sample sources, quantities, and detection methods.</p>
<p>Further phylogenetic analysis showed that, similar to the findings of Zhang et al. (<xref ref-type="bibr" rid="ref25">25</xref>), PRRSV lineages 1, 3, 5, and 8 were prevalent in pig farms in certain regions of Guangdong Province in 2022, with lineage 8 strains being the dominant ones. In this study, the strain of lineage 8 was mainly prevalent in western Guangdong, primarily concentrated in Yunfu, while only sporadically present in eastern Guangdong. This finding is consistent with the investigation results of PRRSV in Guangdong in recent years (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref26 ref27 ref28">26&#x2013;28</xref>). It is worth noting that the genetic diversity of PRRSV in Maoming is the most abundant, involving lineages 1, 3, and 5.</p>
<p>However, it is noteworthy that we did not observe co-infection of different PRRSV lineages in the investigated pig farms in certain regions of Guangdong Province. This suggests that the occurrence of mixed infections with multiple PRRSV lineages in the pig population of the surveyed regions in Guangdong Province is rare.</p>
<p>In general, despite the availability of commercial PRRSV vaccines, PRRS remains a significant infectious disease in Chinese swine herds due to its complex genetic background and weak cross-protection among different lineages. Therefore, regular genetic lineage surveys of PRRSV in the areas surrounding pig farms are necessary to prevent and control disease outbreaks. The duplex real-time PCR detection method developed in this study for PRRSV-1 and PRRSV-2, as well as HP-PRRSV and NL-PRRSV, exhibits good sensitivity, specificity, and reproducibility. Although this method still has some minor drawbacks compared to currently commercialized detection kits, it remains a fast, convenient, and cost-effective clinical tool for effectively identifying PRRSV genetic typing near agricultural facilities. This is of great significance for developing effective PRRSV immunization strategies in clinical settings.</p>
<p>Additionally, due to the rich genetic diversity of PRRSV, such as the further division of highly pathogenic PRRSV into different lineages (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref29">29</xref>), there is a need to consider how to more finely distinguish the lineages of strains. Furthermore, further research is needed to determine whether this method is applicable for identifying global PRRSV strains or novel recombinant strains. In future work, this differential diagnosis method will be further optimized.</p>
</sec>
<sec sec-type="conclusions" id="sec25">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, the duplex real-time qPCR method developed in this research for the detection of PRRSV-1 and PRRSV-2, along with HP-PRRSV and NL-PRRSV, demonstrates excellent sensitivity, specificity, and reproducibility. This method offers a swift, user-friendly, and economical clinical solution for the identification of PRRSV genetic lineages in areas surrounding pig farms, thereby facilitating the implementation of targeted immunization strategies and improving PRRSV control and prevention efforts.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec26">
<title>Data availability statement</title>
<p>The datasets presented in the study are deposited in the GenBank repository. The names in the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec27">
<title>Ethics statement</title>
<p>The animal studies were approved by Institute of Animal Health, Guangdong Academy of Agricultural Science, China. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec28">
<title>Author contributions</title>
<p>ZR: Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. PK: Conceptualization, Data curation, Investigation, Methodology, Software, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. PZ: Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CS: Conceptualization, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JC: Data curation, Investigation, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HX: Project administration, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SL: Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. RC: Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YH: Data curation, Investigation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YJ: Conceptualization, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. GW: Conceptualization, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XW: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Conceptualization, Methodology, Project administration, Supervision, Validation.</p>
</sec>
<sec sec-type="funding-information" id="sec29">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Scientific and Technological Plan Projects of Guangzhou (nos. 2023B04J0137 and 2023E04J1256); the Planning Funds for Science and Technology of Guangdong Province (nos. 2023A1111110001 and 2021B1212050021); National Natural Science Foundation of China (no. 32302722); The 14th Five-Year Plan&#x2019; National Key Research and Development program (nos. 2021YFD1801400 and 2021YFD1801404); the Project of Collaborative Innovation Center of GDAAS (nos. XTXM202202 and XT202207); the Guangdong Provincial Forestry Department&#x2019;s Provincial Financial Special Fund for Ecological Forestry Construction-Wildlife Conservation; the project of Key Laboratory of Livestock Disease Prevention of Guangdong Province (no. 2023B12120600400).</p>
</sec>
<sec sec-type="COI-statement" id="sec30">
<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="sec31">
<title>Publisher&#x2019;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>
<sec sec-type="supplementary-material" id="sec16a">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fvets.2025.1495128/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fvets.2025.1495128/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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