Genetic determination of piglet survival upon PRRSV outbreaks | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Genetic determination of piglet survival upon PRRSV outbreaks Joaquim Tarres Font, Teodor Jové-Juncà, Carles Hernández-Banqué, and 8 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4503083/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 18 Dec, 2024 Read the published version in Veterinary Research → Version 1 posted You are reading this latest preprint version Abstract Breeding animals to produce more robust and disease-resistant pig populations becomes a complementary strategy to the more conventional methods of biosecurity and vaccination. The objective of this study was to explore the ability of a panel of genetic markers and immunity parameters to predict the survival rates during a natural PRRSV outbreak. Ten-week-old female Duroc pigs (n = 129), obtained from 61 sows and 20 boars, were naturally infected with a highly pathogenic PRRSV genotype 1 strain. Prior to infection, piglets were screened for immunity parameters (IgG levels in plasma and SOX13 mRNA expression in blood) and genetic markers previously associated to PRRSV immune response and immunity traits. Additionally, the 20 boars were genotyped with a panel of 132 single nucleotide polymorphisms (SNPs). Survival analysis showed that mortality was significantly higher for animals with low basal IgG levels in plasma and/or high SOX13 mRNA expression in blood. The genotypes of sires for SNPs associated with IgG plasma levels, CRP in serum, percentage of γδ T cells, lymphocyte phagocytic capacity, total number of lymphocytes and leukocytes, and MCV and MCH were significantly associated with the number of surviving offspring. Furthermore, CD163 and GBP5 markers were also associated to piglet survival. The effects of these SNPs were polygenic and cumulative, survival decreased from 94–21% as more susceptible alleles were accumulated for the different markers. Our results confirmed the existence of genetic variability in survival after PRRSV infection and provided a set of genetic markers and immunity traits associated with PRRS resistance. PRRSV disease survival immunity traits genetic markers SNP immune response Figures Figure 1 Figure 2 Full Text Supplementary Files Additionalfile1.docx Additional file 1 Comparison of PRRSV ORF5 sequences. Similarity (%) between the field strain and reference strains. Additionalfile2.docx Additional file 2 Mean values of immunity parameters measured at 9 week in the transition farm and carcass measurements for the litters arriving at slaughterhouse according to its sire genotype for each genetic markers. Additionalfile3.docx Additional file 3 Boxplots showing the distribution of immunity phenotypes according to associated genetic markers. (A) Leukocytes counts; (B) IgG levels; (C) MCV; (D) MCH; (E) Lymphocytes counts; (F) CRP; (G) Lymphocytes phagocytosis capacity, (H) δγ-T cells. Cite Share Download PDF Status: Published Journal Publication published 18 Dec, 2024 Read the published version in Veterinary Research → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4503083","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":312618383,"identity":"400044ed-fa32-4dac-b933-6fdb98d3c7c6","order_by":0,"name":"Joaquim Tarres 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Agroalimentaries","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Maria","middleName":"","lastName":"Ballester","suffix":""}],"badges":[],"createdAt":"2024-05-30 12:40:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4503083/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4503083/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s13567-024-01421-8","type":"published","date":"2024-12-18T15:58:07+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":58989082,"identity":"247c0559-b05d-48a7-bc89-ef8b1e1c4954","added_by":"auto","created_at":"2024-06-25 04:35:01","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":189543,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eChronogram of the study\u003c/strong\u003e. Created using Canva software (\u003ca href=\"https://www.canva.com/\" target=\"_blank\" title=\"https://www.canva.com/\"\u003ehttps://www.canva.com/\u003c/a\u003e). All assets used were sourced from Canva’s license-free library.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4503083/v1/929a08bd109cb116d55079ba.png"},{"id":58989086,"identity":"a504e4d7-eace-4b62-94ef-b16061ac4212","added_by":"auto","created_at":"2024-06-25 04:35:01","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":337785,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eKaplan–Meier survival functions stratified by each immunity trait\u003c/strong\u003e. (A) IgG levels were categorized as: (IgG3=IgG\u0026lt;3.0, IgG4=3.0\u0026lt;IgG\u0026lt;4.5, IgG5=4.5\u0026lt;IgG\u0026lt;6.0, IgG6=IgG\u0026gt;6.0). (B) SOX13 mRNA expression levels were categorized as: (SOX2=SOX13\u0026lt;3.0, SOX4=3.0\u0026lt;SOX13\u0026lt;5.0, SOX6=5.0\u0026lt;SOX13\u0026lt;7.0, SOX8=7.0\u0026lt;SOX13\u0026lt;9.0, SOX10=SOX13\u0026gt;9.0).\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-4503083/v1/8fe5e66b7ace70355cf8633a.png"},{"id":72201892,"identity":"2f85a242-c7c9-44f4-99d1-f661217b2b14","added_by":"auto","created_at":"2024-12-23 16:11:46","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":786513,"visible":true,"origin":"","legend":"","description":"","filename":"VetResFINAL.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4503083/v1_covered_6f4c4f69-2bcb-4163-bff9-3ca1f80bb3bd.pdf"},{"id":58989083,"identity":"e8953d39-7a0c-4452-a06e-eb3f747c3fb4","added_by":"auto","created_at":"2024-06-25 04:35:01","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":23061,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAdditional file 1\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eComparison of PRRSV ORF5 sequences. Similarity (%) between the field strain and reference strains.\u003c/p\u003e","description":"","filename":"Additionalfile1.docx","url":"https://assets-eu.researchsquare.com/files/rs-4503083/v1/0176b7f6364aa912c17c290b.docx"},{"id":58989854,"identity":"0f4a6435-aeee-4b20-845c-6690f40f8f7a","added_by":"auto","created_at":"2024-06-25 04:43:01","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":32395,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAdditional file 2\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMean values of immunity parameters measured at 9 week in the transition farm and carcass measurements for the litters arriving at slaughterhouse according to its sire genotype for each genetic markers.\u003c/p\u003e","description":"","filename":"Additionalfile2.docx","url":"https://assets-eu.researchsquare.com/files/rs-4503083/v1/10d5748b4c060785a5b18dec.docx"},{"id":58989085,"identity":"46f3a323-4bcf-4a53-a30f-74a740dc1b82","added_by":"auto","created_at":"2024-06-25 04:35:01","extension":"docx","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":643224,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAdditional file 3\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBoxplots showing the distribution of immunity phenotypes according to associated genetic markers. (A) Leukocytes counts; (B) IgG levels; (C) MCV; (D) MCH; (E) Lymphocytes counts; (F) CRP; (G) Lymphocytes phagocytosis capacity, (H) δγ-T cells.\u003c/p\u003e","description":"","filename":"Additionalfile3.docx","url":"https://assets-eu.researchsquare.com/files/rs-4503083/v1/5fa7374c55f4ab639ef99c1f.docx"}],"financialInterests":"","formattedTitle":"Genetic determination of piglet survival upon PRRSV outbreaks","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"PRRSV, disease, survival, immunity traits, genetic markers, SNP, immune response","lastPublishedDoi":"10.21203/rs.3.rs-4503083/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4503083/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBreeding animals to produce more robust and disease-resistant pig populations becomes a complementary strategy to the more conventional methods of biosecurity and vaccination. The objective of this study was to explore the ability of a panel of genetic markers and immunity parameters to predict the survival rates during a natural PRRSV outbreak. Ten-week-old female Duroc pigs (n\u0026thinsp;=\u0026thinsp;129), obtained from 61 sows and 20 boars, were naturally infected with a highly pathogenic PRRSV genotype 1 strain. Prior to infection, piglets were screened for immunity parameters (IgG levels in plasma and \u003cem\u003eSOX13\u003c/em\u003e mRNA expression in blood) and genetic markers previously associated to PRRSV immune response and immunity traits. Additionally, the 20 boars were genotyped with a panel of 132 single nucleotide polymorphisms (SNPs). Survival analysis showed that mortality was significantly higher for animals with low basal IgG levels in plasma and/or high \u003cem\u003eSOX13\u003c/em\u003e mRNA expression in blood. The genotypes of sires for SNPs associated with IgG plasma levels, CRP in serum, percentage of γδ T cells, lymphocyte phagocytic capacity, total number of lymphocytes and leukocytes, and MCV and MCH were significantly associated with the number of surviving offspring. Furthermore, \u003cem\u003eCD163\u003c/em\u003e and \u003cem\u003eGBP5\u003c/em\u003e markers were also associated to piglet survival. The effects of these SNPs were polygenic and cumulative, survival decreased from 94\u0026ndash;21% as more susceptible alleles were accumulated for the different markers. Our results confirmed the existence of genetic variability in survival after PRRSV infection and provided a set of genetic markers and immunity traits associated with PRRS resistance.\u003c/p\u003e","manuscriptTitle":"Genetic determination of piglet survival upon PRRSV outbreaks","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-25 04:34:56","doi":"10.21203/rs.3.rs-4503083/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
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