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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.2025.1634429</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>Establishment of a TaqMan qPCR method with MGB probe for the specific detection of BVDV field strains circulating in China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>An</surname> <given-names>Lele</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Ren</surname> <given-names>Xiaoting</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Yetao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Shubin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhao</surname> <given-names>Yongqing</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="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3076051/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University</institution>, <addr-line>Lanzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Life Science and Engineering, Northwest Minzu University</institution>, <addr-line>Lanzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Rohana P. Dassanayake, Agricultural Research Service (USDA), United States</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Sultan Ali, University of Agriculture, Pakistan</p>
<p>David Holthausen, United States Department of Agriculture (USDA), United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yongqing Zhao, <email>179122111@xbmu.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1634429</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 An, Ren, Zhang, Zhang and Zhao.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>An, Ren, Zhang, Zhang and Zhao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Bovine viral diarrhea virus (BVDV), a highly mutable pathogen, poses a significant threat to the cattle industry in China. Therefore, the development of a rapid, sensitive, and specific diagnostic assay is essential for effective surveillance and control. In this study, a TaqMan real-time quantitative PCR (qPCR) assay utilizing a minor groove binder (MGB) probe was developed for the detection of BVDV, with a focus on strains currently circulating in China. Universal primers and an MGB probe targeting the conserved 5&#x2032; untranslated region (5&#x2032;UTR) of both BVDV-1 and BVDV-2 were designed based on complete genome sequences available in GenBank. Following optimization of the reaction conditions, the assay demonstrated a detection limit of 1.265 copies/&#x03BC;L using a plasmid standard. The method exhibited high specificity for BVDV-1 and BVDV-2, with no cross reactivity observed with other common bovine pathogens. Intra- and inter-assay coefficients of variation were below 1.5%, indicating excellent repeatability and reproducibility. When applied to field serum samples collected from free-range cattle in various regions of China, the assay achieved a 100% concordance rate with a commercial reference kit (IDEXX RealPCR&#x2122; BVDV RNA Test). These results suggest that the established TaqMan MGB qPCR assay is a reliable and efficient tool for the detection and epidemiological investigation of BVDV-1 and BVDV-2 infections in cattle herds across China.</p>
</abstract>
<kwd-group>
<kwd>BVDV-1</kwd>
<kwd>BVDV-2</kwd>
<kwd>TaqMan MGB qPCR</kwd>
<kwd>clinical diagnosis</kwd>
<kwd>epidemiological investigation</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="11"/>
<word-count count="5961"/>
</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>Bovine viral diarrhea virus (BVDV), a member of the genus <italic>Pestivirus</italic> within the family <italic>Flaviviridae</italic>, is a significant pathogen affecting cattle worldwide. It poses substantial threats to the cattle industry due to its economic and health impacts (<xref ref-type="bibr" rid="ref1 ref2 ref3">1&#x2013;3</xref>). BVDV is a single-stranded, positive-sense RNA virus with a genome of approximately 12.3 kilobases (kb). The genome contains a single open reading frame (ORF), flanked by two untranslated regions (UTRs): the 5&#x2032;UTR and 3&#x2032;UTR. Phylogenetic classification of BVDV isolates primarily relies on sequence analysis of the 5&#x2032;UTR and coding regions of viral proteins, including Npro (a viral protease), structural protein E2, and non-structural proteins NS4B and NS5A (<xref ref-type="bibr" rid="ref4 ref5 ref6 ref7 ref8 ref9">4&#x2013;9</xref>). Among these, the 5&#x2032;UTR is the most widely used marker for genotyping due to its high conservation and discriminatory power. Based on the 5&#x2032;UTR, different BVDV variants have been identified, leading to the current classification of BVDV into three genotypes: BVDV-1 (24 subgenotypes, 1a&#x2013;1x), BVDV-2 (5 subgenotypes, 2a&#x2013;2e), and BVDV-3 (HoBi-like pestivirus; 4 subgenotypes, 3a&#x2013;3d) (<xref ref-type="bibr" rid="ref10 ref11 ref12 ref13 ref14 ref15">10&#x2013;15</xref>). Of these, BVDV-1 is the predominant genotype globally, accounting for approximately 88.2% of reported isolates (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>The rapid expansion of the global cattle industry has increased awareness of the economic and clinical impacts of BVDV. Increasing evidence highlights that BVDV prevalence is associated with a range of economically important clinical diseases, including decreased reproductive performance and acute fatal hemorrhagic disease (<xref ref-type="bibr" rid="ref16">16</xref>). Notably, BVDV can cross the placental barrier during early gestation, resulting in the birth of persistently infected (PI) calves, which serve as critical viral reservoirs (<xref ref-type="bibr" rid="ref17">17</xref>). In China, BVDV-1 and BVDV-2 are considered the primary sources of infection in cattle herds, with their persistent circulation posing substantial risks to both animal health and the economic sustainability of the cattle industry (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref18 ref19 ref20 ref21 ref22">18&#x2013;22</xref>).</p>
<p>Current diagnostic approaches for BVDV include real-time quantitative PCR (qPCR), enzyme linked immunosorbent assay (ELISA), immunofluorescence assay (IFA), and viral isolation (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). Among these, qPCR demonstrates superior sensitivity for detecting acute infections. However, challenges arise from the high genetic variability of BVDV. Global genomic surveillance reveals extensive genetic divergence among BVDV variants, both between genotypes (e.g., BVDV-1 vs. BVDV-2) and within subgenotypes. In China, co-circulation of multiple BVDV-1 and BVDV-2 subgenotypes has been documented (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref25 ref26 ref27 ref28">25&#x2013;28</xref>). As more BVDV variants circulate within cattle herds, this increases the risks associated with sensitive detection, particularly in clinical cases involving serum samples.</p>
<p>To address these limitations, we developed a TaqMan MGB qPCR assay targeting the conserved 5&#x2032;UTR region. This method was validated using serum samples collected from calves in diverse Chinese cattle herds between 2022 and 2024, with the aim of enhancing the detection of wild-type BVDV strains amidst evolving viral diversity.</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>Serum sample collection</title>
<p>This study was approved by the Animal Ethics Committee of the College of Life Science and Engineering, Northwest Minzu University (Approval No. CLSEAEC 2020&#x2013;003). A total of 174 whole blood samples were collected from free-range, unimmunized cattle herds in five Chinese provinces between 2022 and 2024. The distribution of samples across provinces was as follows: Henan (n&#x202F;=&#x202F;28), Jilin (<italic>n</italic>&#x202F;=&#x202F;36), Gansu (<italic>n</italic>&#x202F;=&#x202F;54), Sichuan (<italic>n</italic>&#x202F;=&#x202F;24), and Qinghai (<italic>n</italic>&#x202F;=&#x202F;32).</p>
<p>Whole blood samples were transported on ice to the laboratory within 1&#x202F;h of collection. The samples were allowed to clot at room temperature (25&#x202F;&#x00B1;&#x202F;1&#x00B0;C) for 2&#x2013;3&#x202F;h, followed by centrifugation at 3,000&#x202F;&#x00D7;&#x202F;g for 10&#x202F;min at 4&#x00B0;C. The resulting serum was aliquoted into sterile cryovials and stored at &#x2212;80&#x00B0;C until further analysis.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>RNA extraction and cDNA synthesis</title>
<p>Total RNA was extracted from the serum samples using the MagMAX Viral/Pathogen Nucleic Acid Isolation Kit (ThermoFisher Scientific Inc.), following the manufacturer&#x2019;s protocol. The RNA was then reverse transcribed into complementary DNA (cDNA) using the SuperScript IV First-Strand Synthesis System (ThermoFisher Scientific Inc.). The resulting cDNAs were stored at &#x2212;20&#x00B0;C for subsequent use in the qPCR assays.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>BVDV strain collection</title>
<p>Eight representative BVDV strains were isolated, identified, and preserved at the Laboratory of Biomedical Research Center, Northwest Minzu University. The strains used were as follows: 22Anhui-7 (GenBank: OQ338174.1), 22Gansu-F2 (GenBank: OQ338175.1), 22Sichuan-B8 (GenBank: OQ338177.1), 22NX-69 (GenBank: ON165517.1), 22AH-1 (GenBank: ON624286.1), 21SD-16 (GenBank: ON624287.1), BVDV1/GS (GenBank: PV806860.1), and 21NM-44 (GenBank: ON411191.1).</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Other pathogens for specific testing</title>
<p>In consideration of the current epidemiological landscape of various viral pathogens in Chinese cattle herds, we focused on six common pathogens: foot-and-mouth disease virus (FMDV), bovine coronavirus (BCoV), bovine respiratory syncytial virus (BRSV), bovine parvovirus (BPV), classical swine fever virus (CSFV), and bovine parainfluenza virus 3 (BPIV3). Nucleic acids were extracted from clinical serum samples that tested positive for these specific pathogens. Viral DNA/RNA was isolated using the MagMAX Viral/Pathogen Nucleic Acid Isolation Kit, and the extracted nucleic acids were reverse transcribed into cDNA using the SuperScript IV kit. The resulting DNAs and cDNAs were stored at &#x2212;20&#x00B0;C for subsequent analysis.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Designing a pair of universal primers and one MGB probe</title>
<p>To identify relatively conserved regions in the BVDV genome, full genomic sequences of BVDV-1 and BVDV-2 strains, isolated from various countries and over different time periods, were retrieved from the GenBank database (Supplementary Table S1, DOI: <ext-link xlink:href="http://10.6084/m9.figshare.29143592" ext-link-type="uri">10.6084/m9.figshare.29143592</ext-link>). Multi-sequence alignment analysis was conducted using the ClustalW program within the MegAlign software. Based on the identified conserved regions in the BVDV genome, a pair of universal primers and an MGB probe were designed (<xref ref-type="fig" rid="fig1">Figure 1</xref>). All oligonucleotides were commercially synthesized by Tsingke Co., Ltd. (Xi&#x2019;an, China).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Sequence alignment information for primers and probes. The nucleotide bases color-coded as follows: cytosine (C) in blue, thymine (T) in red, adenine (A) in green, and guanine (G) in purple.</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g001.tif">
<alt-text content-type="machine-generated">Alignment chart displaying nucleotide sequences in a color-coded format. Each column shows variations across different sequences with colors representing specific nucleotides. Labels on the left identify each sequence entry.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Preparation of standard positive plasmids</title>
<p>Two representative BVDV strains, 21SD-16 (BVDV-1, GenBank: ON624287.1) and 22Sichuan-B8 (BVDV-2, GenBank: OQ338177.1), were maintained at &#x2212;80&#x00B0;C in our laboratory. The target sequences derived from these two strains were amplified by PCR and cloned into the pMD18-T vector (TaKaRa, China). After verification by gene sequencing (Tsingke Co., Ltd., Xi&#x2019;an, China), the two standard positive plasmids were designated as pMD18-T -BVDV1 and pMD18-T -BVDV2. The DNA copy number was calculated by the following formula: DNA copy number&#x202F;=&#x202F;(N&#x202F;&#x00D7;&#x202F;6.02&#x202F;&#x00D7;&#x202F;10<sup>23</sup>&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;9</sup>)/(<italic>l</italic>&#x202F;&#x00D7;&#x202F;660), where N is the amount of DNA in nanograms, and <italic>l</italic> is length of the plasmid in bp.</p>
<p>The concentrations of the pMD18-T-BVDV1 and pMD18-T-BVDV2 plasmids were determined to be 1.265&#x202F;&#x00D7;&#x202F;10<sup>11</sup> copies/&#x03BC;L and 8.016&#x202F;&#x00D7;&#x202F;10<sup>10</sup> copies/&#x03BC;L, respectively. The standard positive plasmids were serially diluted ten-fold, and the diluted plasmid standards with different copy numbers were used as templates to evaluate the performance of the BVDV TaqMan MGB qPCR assay.</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Development of a TaqMan MGB probe-based qPCR assay for BVDV</title>
<p>To develop a robust detection assay, two plasmid standards were used as DNA templates in a TaqMan MGB probe-based qPCR assay. The reaction conditions were systematically optimized using response surface methodology (RSM) to establish the final qPCR protocol. Initial optimization involved fixing the MGB probe concentration at 0.2&#x202F;&#x03BC;mol/L and evaluating the optimal primer concentration (0.35, 0.40, or 0.45&#x202F;&#x03BC;mol/L). Based on the optimized primer concentration, we then assessed the optimal MGB probe concentration (0.25, 0.30, or 0.35&#x202F;&#x03BC;mol/L). Finally, the annealing temperature (58&#x00B0;C, 60&#x00B0;C, or 62&#x00B0;C) was optimized using the selected primer and probe concentrations.</p>
</sec>
<sec id="sec10">
<label>2.8</label>
<title>Construction of the standard curve</title>
<p>To establish the standard curve for the TaqMan qPCR assay with an MGB probe, a series of diluted vector solutions (ranging from 10<sup>3</sup> to 10<sup>8</sup> copies/&#x03BC;L) were used as DNA templates and amplified under the optimized detection conditions. To ensure reliability, each concentration was analyzed in triplicate.</p>
</sec>
<sec id="sec11">
<label>2.9</label>
<title>Estimations for sensitivity and specificity of the assay</title>
<p>Based on the optimized detection system, we evaluated the sensitivity of TaqMan qPCR with MGB probes using a series of nucleic acid concentrations ranging from 10<sup>0</sup> copies/&#x03BC;L to 10<sup>4</sup> copies/&#x03BC;L as DNA templates. Additionally, sensitivity tests were conducted on plasmid pMD18-T-BVDV1, with concentrations ranging from 1.265&#x202F;&#x00D7;&#x202F;10<sup>0</sup> to 1.265&#x202F;&#x00D7;&#x202F;10<sup>6</sup> copies/&#x03BC;L, using a conventional PCR instrument. Deionized water was used as the negative control. To further assess the specificity of the detection method, we used TaqMan qPCR with MGB probes to detect BVDV and tested the cross-reactivity with other non-BVDV pathogens previously mentioned.</p>
</sec>
<sec id="sec12">
<label>2.10</label>
<title>Inclusivity assessment of a TaqMan qPCR assay for BVDV detection</title>
<p>Eight representative epidemic BVDV strains&#x2014;22NX-69, 22AH-1, 21SD-16, 21NM-44, 22Anhui-7, 22Gansu-F2, BVDV1/GS, and 22Sichuan-B8&#x2014;were selected for inclusivity assessment. Viral RNA was extracted from each strain, reverse transcribed into cDNA, and subsequently analyzed using the established TaqMan MGB qPCR assay.</p>
</sec>
<sec id="sec13">
<label>2.11</label>
<title>Assessment of repeatability and reproducibility of TaqMan qPCR for BVDV detection</title>
<p>To evaluate repeatability, the assay was tested using plasmid standards pMD18-T-BVDV1 and pMD18-T-BVDV2 at three concentrations (10<sup>3</sup>, 10<sup>5</sup>, and 10<sup>7</sup> copies/&#x03BC;L). Both intra-assay (within-run) and inter-assay (between-run) precision were assessed by performing triplicate measurements. The arithmetic mean (x&#x0304;), standard deviation (SD), and coefficient of variation (CV) of Ct values were calculated to assess method stability and repeatability.</p>
</sec>
<sec id="sec14">
<label>2.12</label>
<title>Detection of BVDV in clinical serum samples from multiple regions of China</title>
<p>To evaluate the clinical applicability of the TaqMan-MGB qPCR assay for BVDV detection, bovine serum samples collected from multiple provinces in China were analyzed. The performance of our assay was compared with a commercial BVDV qPCR kit (IDEXX RealPCR&#x2122;, IDEXX Laboratories, Shanghai, China) using clinical samples. The positive coincidence rate was calculated as follows: (number of concordant positive results)/ [number of concordant positives + (TaqMan MGB qPCR negatives that were IDEXX method positives)]&#x202F;&#x00D7;&#x202F;100%.</p>
</sec>
<sec id="sec15">
<label>2.13</label>
<title>BVDV phylogeny based on TaqMan MGB qPCR detection</title>
<p>To determine the prevalent BVDV-1 and BVDV-2 genotypes across five Chinese provinces, one TaqMan MGB qPCR-positive amplicon from each province was randomly selected for direct sequencing (Tsingke Biotechnology Co., Ltd., Xi&#x2019;an, China). Sequence alignment was performed using the ClustalW algorithm in MEGA 5.0 software, followed by phylogenetic tree construction using the neighbor-joining method with 1,000 bootstrap replicates.</p>
</sec>
</sec>
<sec sec-type="results" id="sec16">
<label>3</label>
<title>Results</title>
<sec id="sec17">
<label>3.1</label>
<title>Development and validation of a TaqMan MGB probe-based qPCR assay</title>
<p>Using Design-Expert 13 software (State-Ease Inc., USA), we optimized and analyzed the reaction conditions through response surface methodology (RSM). The model identified significant parameter interactions (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), with the optimal conditions shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. The optimal amplification conditions were determined when the fluorescence signal intensity reached a plateau. The final parameters included a primer concentration of 0.42&#x202F;&#x03BC;mol/L, a probe concentration of 0.30&#x202F;&#x03BC;mol/L, and an annealing temperature of 60.2&#x00B0;C.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Response Surface Methodology (RSM) Optimization of BVDV TaqMan qPCR. <bold>(A)</bold> Effect of primer-probe concentration interaction on Ct values. <bold>(B)</bold> Effect of primer-probe concentration interaction on &#x0394;Rn. <bold>(C)</bold> Effect of primer-annealing temperature interaction on Ct values. <bold>(D)</bold> Effect of primer-annealing temperature interaction on &#x0394;Rn. <bold>(E)</bold> Effect of probe-annealing temperature interaction on Ct values. <bold>(F)</bold> Effect of probe-annealing temperature interaction on &#x0394;Rn.</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g002.tif">
<alt-text content-type="machine-generated">Two sets of contour plots and corresponding 3D surface graphs display viral load and RFU data. The contour plots use a color gradient from green to red, indicating intensity levels, and are labeled with axes and values. The 3D graphs depict the same data with a grid surface, showing the relationship between variables such as temperature and BVDV concentration, with clear axis labels and scale.</alt-text>
</graphic>
</fig>
<p>To validate the detection performance (sensitivity and specificity), we further optimized the TaqMan MGB qPCR assay under practical conditions. The final reaction conditions were as follows: 0.4&#x202F;&#x03BC;mol/L primer, 0.3&#x202F;&#x03BC;mol/L MGB probe, and an annealing temperature of 60&#x00B0;C. The 20&#x202F;&#x03BC;L reaction mixture contained 10&#x202F;&#x03BC;L of 2&#x202F;&#x00D7;&#x202F;Pro Taq HS Probe Premix (Accurate Biotechnology, China), 1&#x202F;&#x03BC;L template DNA, 0.8&#x202F;&#x03BC;L each of upstream/downstream primers (BVDV-F/R, 10&#x202F;&#x03BC;M), 0.6&#x202F;&#x03BC;L MGB probe (BVDV-P, 10&#x202F;&#x03BC;M), and ddH&#x2082;O to adjust the volume. The thermal cycling protocol included an initial denaturation at 95&#x00B0;C for 2&#x202F;min, followed by 45&#x202F;cycles of 95&#x00B0;C for 5&#x202F;s and 60&#x00B0;C for 30&#x202F;s.</p>
</sec>
<sec id="sec18">
<label>3.2</label>
<title>Standard curve generation for BVDV quantification</title>
<p>Standard curves were generated using GraphPad Prism version 8.0.1 (GraphPad Software, USA). The logarithm of plasmid copy numbers (x-axis) was plotted against Ct values (y-axis), yielding linear regression equations:y&#x202F;=&#x202F;&#x2212;3.355x&#x202F;+&#x202F;41.555 (R<sup>2</sup>&#x202F;=&#x202F;0.998) and y&#x202F;=&#x202F;&#x2212;3.386x&#x202F;+&#x202F;41.601 (R<sup>2</sup>&#x202F;=&#x202F;0.996) for the two standards, respectively (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The amplification efficiencies were 98.6 and 97.4%, which meet the MIQE guidelines criteria (R<sup>2</sup>&#x202F;&#x003E;&#x202F;0.98, 90%&#x202F;&#x003C;&#x202F;E&#x202F;&#x003C;&#x202F;110%). These results demonstrate a strong linear relationship between Ct values and logarithmic plasmid copy numbers.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>TaqMan MGB qPCR Standard Curve for BVDV Quantification. <bold>(A)</bold> Plasmid standard pMD18-T-BVDV1 (1.265&#x202F;&#x00D7;&#x202F;10<sup>3</sup>&#x202F;~&#x202F;1.265&#x202F;&#x00D7;&#x202F;10<sup>8</sup> copies/&#x03BC;L) was used as the template. <bold>(B)</bold> Plasmid standard pMD18-T-BVDV2 (8.016&#x202F;&#x00D7;&#x202F;10<sup>3</sup>&#x202F;~&#x202F;8.016&#x202F;&#x00D7;&#x202F;10<sup>8</sup> copies/&#x03BC;L) was used as the template.</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g003.tif">
<alt-text content-type="machine-generated">Two graphs titled "A" and "B" show linear regression plots of cycle threshold (Ct) versus the logarithm of plasmid copy number. In graph A, the equation is Y = -3.3549x + 41.5553 with R squared value of 0.9977. In graph B, the equation is Y = -3.3860x + 41.6011 with R squared value of 0.9961. Both show a negative correlation.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec19">
<label>3.3</label>
<title>Evaluation of TaqMan qPCR specificity and sensitivity for BVDV detection</title>
<p>Detection specificity of the TaqMan MGB qPCR assay demonstrated that only BVDV-1(21SD-16) and BVDV-2(22Sichuan-B8) yielded characteristic sigmoidal amplification curves. No cross-reactivity was observed with other bovine pathogens, including FMDV, BCoV, BRSV, BPIV3, CSFV, BPV, or with the negative control (ddH&#x2082;O) (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Specificity Test of the BVDV TaqMan MGB qPCR Detection Method. In the presented amplification graph, the x-axis represents the number of cycles, while the y-axis represents the relative fluorescence units (RFU). The amplification conditions for the following viral nucleic acids were tested: BVDV-1 (21SD-16), BVDV-2 (22Sichuan-B8), FMDV, BCoV, BRSV, BPV, CSFV, BPIV3, and a negative control (ddH&#x2082;O).</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g004.tif">
<alt-text content-type="machine-generated">Line graph showing FAM-RFU fluorescence against cycle numbers to indicate PCR amplification. Two curves, labeled 21SD-16 and 22Sichuan-B, show significant increases above cycle 20. Several viral samples, including FMDV, BCoV, BRSV, BPV, CSFV, PBIV3, and ddH2O, remain flat near zero, indicating no amplification.</alt-text>
</graphic>
</fig>
<p>Assay sensitivity was evaluated using serial dilutions of the plasmid standards. The minimum detectable copy numbers were 1.265 copies/&#x03BC;L for pMD18-T-BVDV1 and 8.016 copies/&#x03BC;L for pMD18-T-BVDV2 (<xref ref-type="fig" rid="fig5">Figure 5</xref>). Both plasmid standards were tested in 20 replicates at their respective detection limits, yielding a 100% detection rate in both cases (detection rate &#x003E;95%). Thus, the overall limit of detection (LOD) for the assay was established at 1.265 copies/&#x03BC;L. For comparison, conventional PCR using serially diluted pMD18-T-BVDV1 demonstrated a detection limit of 1.265&#x202F;&#x00D7;&#x202F;10<sup>3</sup> copies/&#x03BC;L. This result confirms that the TaqMan MGB qPCR assay offers significantly enhanced sensitivity relative to conventional PCR (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Analytical sensitivity evaluation of TaqMan MGB qPCR for BVDV Detection. The amplification curves for BVDV-1 and BVDV-2 were generated using plasmid standards pMD18-T-BVDV1 and pMD18-T-BVDV2, respectively. In panels <bold>(A)</bold> and <bold>(B)</bold>, the plasmid concentrations for curves 1 to 5 ranged from 1.265&#x202F;&#x00D7;&#x202F;10<sup>4</sup> to 1.265&#x202F;&#x00D7;&#x202F;10<sup>0</sup> copies/&#x03BC;L for BVDV-1 and from 8.016&#x202F;&#x00D7;&#x202F;10<sup>4</sup> to 8.016&#x202F;&#x00D7;&#x202F;10<sup>0</sup> copies/&#x03BC;L for BVDV-2. Curve 6 represents the negative control.</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g005.tif">
<alt-text content-type="machine-generated">Two graphs labeled A and B depict fluorescence signal (FAM-RFU) versus cycle number. Both show six colored curves (red, blue, green, purple, black) increasing exponentially after cycle 20, indicating different reaction efficiencies. The y-axis ranges from 0 to 2000 FAM-RFU, and the x-axis ranges from 0 to 45 cycles.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Sensitivity test for conventional PCR detection of BVDV. The target gene was amplified using plasmid standard pMD18-T-BVDV1 and analyzed by nucleic acid electrophoresis. In the electrophoresis pattern, Lane M: Molecular weight standard (DL 2000 DNA Marker); Lane 1: Negative control; Lane 2&#x202F;~&#x202F;8: Plasmid standard concentrations ranging from 1.265&#x202F;&#x00D7;&#x202F;10<sup>6</sup> to 1.265&#x202F;&#x00D7;&#x202F;10<sup>0</sup> copies/&#x03BC;L.</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g006.tif">
<alt-text content-type="machine-generated">Gel electrophoresis image showing a DNA ladder in the first lane marked "M" with bands at 2000, 1000, 750, 500, and 100 base pairs. Lanes 1 to 8 show DNA samples, with visible bands in lanes 1 to 5, gradually decreasing in intensity.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec20">
<label>3.4</label>
<title>Inclusion analysis</title>
<p>The inclusive test (<italic>n</italic>&#x202F;=&#x202F;3) demonstrated 100% detection of eight classical genotypic BVDV strains by the TaqMan<sup>&#x00AE;</sup> MGB qPCR assay established in this study. The results are shown in <xref ref-type="fig" rid="fig7">Figure 7</xref>. This indicates that the newly developed assay is highly inclusive of the eight classical epidemic strains.</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Inclusivity analysis of TaqMan MGB qPCR for BVDV detection. In the presented amplification graph, the x-axis represents the number of cycles, while the y-axis represents the relative fluorescence units (RFU). The amplification conditions for the following BVDV strains were tested: 21SD-16, 22NX-69, 21NM-44, 22AH-1, 22Anhui-7, 22Sichuan-B8, 22Gansu-F2, BVDV1/GS, and a negative control (ddH&#x2082;O).</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g007.tif">
<alt-text content-type="machine-generated">A line graph showing fluorescence intensity (FAM-RFU) over cycle numbers for different samples, including 22Anhui-7, 22Sichuan-B8, and BVDV1/GS. Some lines show increased intensity as cycles increase, while others remain low, indicating amplification differences among samples.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec21">
<label>3.5</label>
<title>Repeatability analysis</title>
<p>Intra-assay and inter-assay repeatability tests were conducted using varying copy numbers of two plasmid standards as templates. The intra-assay coefficients of variation (CVs) ranged from 0.083 to 0.490%, while the inter-assay CVs ranged from 0.873 to 1.167%. All CVs were below 1.5% (<xref ref-type="table" rid="tab1">Table 1</xref>), indicating high precision. These results demonstrate that the established qPCR assay exhibits excellent repeatability and stability.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Intra-group and inter-group repeatability verification of TaqMan MGB qPCR methods.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Plasmid standards</th>
<th align="center" valign="top" rowspan="2">Number of copies (Copies/&#x03BC;L)</th>
<th align="center" valign="top" colspan="3">Intra- group reproducibility tests</th>
<th align="center" valign="top" colspan="3">Inter-group reproducibility tests</th>
</tr>
<tr>
<th align="center" valign="top">Mean value x&#x0304;</th>
<th align="center" valign="top">Standard deviation SD</th>
<th align="center" valign="top">Coefficient of variation CV (%)</th>
<th align="center" valign="top">Mean value x&#x0304;</th>
<th align="center" valign="top">Standard deviation SD</th>
<th align="center" valign="top">Coefficient of variation CV (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">pMD18-T-BVDV1</td>
<td align="center" valign="middle">1.265&#x202F;&#x00D7;&#x202F;10<sup>7</sup></td>
<td align="center" valign="middle">17.80</td>
<td align="center" valign="middle">0.040</td>
<td align="center" valign="middle">0.226</td>
<td align="center" valign="middle">17.99</td>
<td align="center" valign="middle">0.175</td>
<td align="center" valign="middle">0.971</td>
</tr>
<tr>
<td align="center" valign="middle">1.265&#x202F;&#x00D7;&#x202F;10<sup>5</sup></td>
<td align="center" valign="middle">24.15</td>
<td align="center" valign="middle">0.118</td>
<td align="center" valign="middle">0.490</td>
<td align="center" valign="middle">24.01</td>
<td align="center" valign="middle">0.257</td>
<td align="center" valign="middle">1.071</td>
</tr>
<tr>
<td align="center" valign="middle">1.265&#x202F;&#x00D7;&#x202F;10<sup>3</sup></td>
<td align="center" valign="middle">31.45</td>
<td align="center" valign="middle">0.026</td>
<td align="center" valign="middle">0.083</td>
<td align="center" valign="middle">31.49</td>
<td align="center" valign="middle">0.275</td>
<td align="center" valign="middle">0.873</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">pMD18-T-BVDV2</td>
<td align="center" valign="middle">8.016&#x202F;&#x00D7;&#x202F;10<sup>7</sup></td>
<td align="center" valign="middle">14.80</td>
<td align="center" valign="middle">0.062</td>
<td align="center" valign="middle">0.417</td>
<td align="center" valign="middle">14.91</td>
<td align="center" valign="middle">0.161</td>
<td align="center" valign="middle">1.077</td>
</tr>
<tr>
<td align="center" valign="middle">8.016&#x202F;&#x00D7;&#x202F;10<sup>5</sup></td>
<td align="center" valign="middle">21.62</td>
<td align="center" valign="middle">0.090</td>
<td align="center" valign="middle">0.415</td>
<td align="center" valign="middle">21.77</td>
<td align="center" valign="middle">0.192</td>
<td align="center" valign="middle">0.880</td>
</tr>
<tr>
<td align="center" valign="middle">8.016&#x202F;&#x00D7;&#x202F;10<sup>3</sup></td>
<td align="center" valign="middle">28.40</td>
<td align="center" valign="middle">0.065</td>
<td align="center" valign="middle">0.231</td>
<td align="center" valign="middle">28.81</td>
<td align="center" valign="middle">0.336</td>
<td align="center" valign="middle">1.167</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec22">
<label>3.6</label>
<title>Detection of clinical samples</title>
<p>To further evaluate the clinical applicability of the assay for the differential diagnosis of BVDV-associated viral infections, a total of 174 bovine serum samples were tested using the established TaqMan MGB qPCR method. As shown in the bar chart (<xref ref-type="fig" rid="fig8">Figure 8</xref>), the results were fully consistent with those obtained using a commercial BVDV nucleic acid detection kit, yielding a 100% positive agreement rate. The overall positive detection rate among the tested serum samples was 33.9%. Region-specific positive rates were as follows: 25.0% (7/28) in Henan Province, 47.2% (17/36) in Jilin Province, 27.8% (15/54) in Gansu Province, 37.5% (9/24) in Sichuan Province, and 34.4% (11/32) in Qinghai Province. These results demonstrate that the developed qPCR assay possesses excellent clinical applicability for BVDV detection in diverse field settings.</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Detection of bovine serum clinical samples. <bold>(A)</bold> Comparison of TaqMan qPCR assay with commercial nucleic acid detection kit. <bold>(B)</bold> Distribution of BVDV positive clinical samples in different regions of China.</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g008.tif">
<alt-text content-type="machine-generated">Bar and donut charts compare the number of positive samples from five regions: Henan, Jilin, Gansu, Szechwan, and Qinghai. Chart A shows higher samples for Jilin and Gansu with MGB and IDEXX. Chart B has segments labeled with numbers representing each region: Henan (7), Jilin (17), Gansu (15), Szechwan (9), and Qinghai (11).</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec23">
<label>3.7</label>
<title>Genetic evolution analysis of BVDV 5&#x2032;-UTR gene</title>
<p>In the analysis of clinical samples, sequence homology and phylogenetic tree construction were performed on BVDV-positive samples collected from different regions. The results revealed that the Henan strain shared 97.44% nucleotide identity with the BVDV-1 HN1736 strain (GenBank accession no. MN442374.1). The Jilin strain exhibited 93.80% homology with the BVDV-1 NM2312 isolate (GenBank accession no. PP992316.2). The Qinghai strain showed 96.58% similarity to the BVDV-1 MRI3543 strain (GenBank accession no. LR822280.1). The Gansu strain demonstrated 98.32% homology with the BVDV-2 B9497 isolate (GenBank accession no. MH231134.1), while the Sichuan strain shared 97.48% identity with the same BVDV-2 isolate.</p>
<p>Phylogenetic analysis further confirmed that the Henan, Jilin, and Qinghai strains clustered within the BVDV-1 genotype, while the Gansu and Sichuan strains grouped within the BVDV-2 genotype. Notably, the Henan and Jilin strains were closely related, forming a distinct phylogenetic branch, suggesting a potential shared lineage or transmission source. Similarly, the Gansu and Sichuan strains clustered together, indicating a close genetic relationship and suggesting possible interregional transmission between Aba Prefecture in Sichuan Province and the Gannan region in Gansu Province (see <xref ref-type="fig" rid="fig9">Figure 9</xref>).</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Genetic evolution of BVDV 5&#x2019;-UTR gene in positive clinical samples from different regions of China.</p>
</caption>
<graphic xlink:href="fvets-12-1634429-g009.tif">
<alt-text content-type="machine-generated">Phylogenetic tree depicting genetic relationships of various sequences labeled with accession numbers and types (gt1, gt2), showing clustering patterns. Some branches are highlighted with geographical annotations such as Qinghai, Henan, Jilin, Gansu, and Szechwan, marked with black dots, indicating location-specific strains.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec24">
<label>4</label>
<title>Discussion</title>
<p>Since the first isolation and identification of BVDV in China in the 1980s, numerous outbreaks have been reported across various provinces (<xref ref-type="bibr" rid="ref10">10</xref>). As a highly contagious disease that poses a significant threat to cattle health, BVDV has become endemic in many regions of China. The prevalent BVDV genotypes vary among countries and regions, and with the shift toward intensive, large-scale farming in China, the increased cross-regional movement of cattle has created favorable conditions for the spread of infectious diseases.</p>
<p>BVDV-infected animals may develop persistent infections (PI) and immunosuppression, both of which exacerbate disease severity and predispose affected herds to co-infections. Notably, PI cattle continuously shed the virus throughout their lives, serving as major reservoirs for BVDV transmission (<xref ref-type="bibr" rid="ref29">29</xref>). Furthermore, PI animals are at risk of progressing to fatal mucosal disease (BVD-MD), which represents a severe threat to the sustainable development of China&#x2019;s livestock industry (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>). Therefore, early detection and timely elimination of PI cattle are crucial for reducing the risk of BVDV outbreaks and ensuring effective BVDV control and eradication.</p>
<p>Due to the virus&#x2019;s widespread distribution, high mutation rate, and genetic adaptability, numerous BVDV subtypes have emerged, enabling the virus to evade host immune responses (<xref ref-type="bibr" rid="ref4">4</xref>). This genetic diversity necessitates continuous improvements in diagnostic techniques to facilitate broad-spectrum detection across genotypes and the early identification of animals in the latent stage of infection. Such advancements are vital for BVDV prevention and control, herd-level virus eradication, quality monitoring of veterinary biological products, and the reduction of economic losses in the cattle industry.</p>
<p>In this study, we developed a TaqMan MGB-based real-time PCR assay targeting the conserved regions of the 5&#x2032;-UTR gene across BVDV-1 and BVDV-2 subtypes. Primers and MGB probes were designed based on sequence alignment of representative strains downloaded from NCBI. The assay was optimized for specificity and validated against common bovine pathogens, including FMDV, BCoV, BRSV, CSFV, BPIV3, and BPV. Only BVDV-1 and BVDV-2 strains yielded positive amplification signals, confirming the assay&#x2019;s high specificity and lack of cross-reactivity. The limit of detection was determined to be 1.265 copies/&#x03BC;L, demonstrating superior sensitivity compared to previously reported methods. For example, a SYBR Green-based qPCR method developed by Hou et al. (<xref ref-type="bibr" rid="ref32">32</xref>) had a detection limit of 5.2 copies/&#x03BC;L, and a TaqMan probe assay reported by Zhang et al. (<xref ref-type="bibr" rid="ref33">33</xref>) showed a detection threshold of 10 copies/&#x03BC;L. The enhanced sensitivity of our assay is attributed to the use of MGB probes, which utilize fluorescence resonance energy transfer (FRET) principles and can detect single-nucleotide mismatches with high precision (<xref ref-type="bibr" rid="ref34">34</xref>). Furthermore, MGB probes offer improved thermal stability, minimizing degradation under ambient conditions, a limitation common in traditional molecular beacon systems (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>).</p>
<p>Repeatability tests indicated a coefficient of variation below 1.5% for both intra- and inter-assay experiments, reflecting the method&#x2019;s robust stability and reliability. Clinical validation with 174 field samples demonstrated a 100% concordance rate with results from a commercial BVDV nucleic acid detection kit, confirming the assay&#x2019;s high accuracy and practical applicability. The ability to sensitively detect low viral loads and differentiate BVDV from other pathogens, combined with a rapid turnaround time (typically within 1&#x2013;2&#x202F;h), supports the assay&#x2019;s suitability for clinical diagnostics and large-scale epidemiological surveillance.</p>
<p>Despite these advantages, certain limitations remain. Given the high genetic variability of BVDV, future improvements should focus on expanding primer and probe coverage to include a broader range of viral subtypes and emerging variants. Additionally, the sample size used for clinical validation was relatively limited. Subsequent studies involving larger sample sets from diverse geographic regions and herd types are needed to further assess the assay&#x2019;s broad applicability and robustness.</p>
</sec>
<sec sec-type="conclusions" id="sec25">
<label>5</label>
<title>Conclusion</title>
<p>In summary, this study developed a TaqMan MGB-based real-time PCR assay for the detection of BVDV genotypes 1 and 2. The assay demonstrated high specificity, excellent sensitivity, strong repeatability, and good clinical applicability. Combined with sequence analysis, it enabled precise differentiation between BVDV-1 and BVDV-2 without cross-reactivity with other bovine viruses. Clinical sample results showed strong agreement with those obtained from commercial kits, and phylogenetic analysis confirmed the assay&#x2019;s universal detection capabilities for both major BVDV genotypes. This method provides valuable technical support for BVDV control efforts, including herd-level purification, clinical diagnostics, vaccine development, and epidemiological monitoring.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec26">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.</p>
</sec>
<sec sec-type="ethics-statement" id="sec27">
<title>Ethics statement</title>
<p>The animal study was approved by Animal Ethics Committee of the College of Life Science and Engineering, Northwest Minzu University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec28">
<title>Author contributions</title>
<p>LA: Data curation, Formal analysis, Investigation, Writing &#x2013; original draft. XR: Methodology, Writing &#x2013; review &#x0026; editing. YeZ: Methodology, Writing &#x2013; review &#x0026; editing. SZ: Methodology, Writing &#x2013; review &#x0026; editing. YoZ: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing &#x2013; review &#x0026; editing.</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 and/or publication of this article. This research was funded by the Lanzhou Science and Technology Bureau, with the research funding number being 2023-1-31.</p>
</sec>
<ack>
<p>We are grateful to cattle farmers from different provinces in China for providing us with the samples needed for this research.</p>
</ack>
<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 potential conflicts of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec31">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec32">
<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>
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