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dc.contributor.authorBrito, Luiz F.
dc.contributor.authorMallikarjunappa, Sanjay
dc.contributor.authorSargolzaei, Mehdi
dc.contributor.authorKoeck, Astrid
dc.contributor.authorChesnais, Jacques
dc.contributor.authorSchenkel, Flavio S.
dc.contributor.authorMeade, Kieran G
dc.contributor.authorMiglior, Filippo
dc.contributor.authorKarrow, Niel A.
dc.date.accessioned2019-09-17T16:04:15Z
dc.date.available2019-09-17T16:04:15Z
dc.date.issued2018-09-13
dc.identifier.citationBrito, L., Mallikarjunappa, S., Sargolzaei, M., Koeck, A., Chesnais, J., Schenkel, F., Meade, K., Miglior, F. and Karrow, N. The genetic architecture of milk ELISA scores as an indicator of Johne's disease (paratuberculosis) in dairy cattle. Journal of Dairy Science, 2018, 101(11), 10062-10075. doi: https://doi.org/10.3168/jds.2017-14250en_US
dc.identifier.urihttp://hdl.handle.net/11019/1790
dc.descriptionpeer-revieweden_US
dc.description.abstractJohne's disease (or paratuberculosis), caused by Mycobacterium avium ssp. paratuberculosis (MAP) infection, is a globally prevalent disease with severe economic and welfare implications. With no effective treatment available, understanding the role of genetics influencing host infection status is essential to develop selection strategies to breed for increased resistance to MAP infection. The main objectives of this study were to estimate genetic parameters for the MAP-specific antibody response using milk ELISA scores in Canadian Holstein cattle as an indicator of resistance to Johne's disease, and to unravel genomic regions and candidate genes significantly associated with MAP infection. After data editing, 168,987 milk ELISA records from 2,306 herds, obtained from CanWest Dairy Herd Improvement, were used for further analyses. Variance and heritability estimates for MAP infection status were determined using univariate linear animal models under 3 scenarios: (a) SCEN1: the complete data set (all herds); (b) SCEN2: herds with at least one suspect or test-positive animal (ELISA optical density ≥0.07); and (c) SCEN3: herds with at least one test-positive animal (ELISA optical density ≥0.11). Heritability estimates were calculated as 0.066, 0.064, and 0.063 for SCEN1, SCEN2, and SCEN3, respectively. The correlations between estimated breeding values for resistance to MAP infection and other economically important traits, when significant, were favorable and of low magnitude. Genome-wide association analyses identified important genomic regions on Bos taurus autosome (BTA)1, BTA7, BTA9, BTA14, BTA15, BTA17, BTA19, and BTA25 showing significant association with MAP infection status. These regions included 2 single nucleotide polymorphisms located 2 kb upstream of positional candidate genes CD86 and WNT9B, which play key roles in host immune response and tissue homeostasis. This study revealed the genetic architecture of MAP infection in Canadian Holstein cattle as measured by milk ELISA scores by estimating genetic parameters along with the identification of genomic regions potentially influencing MAP infection status. These findings will be of significant value toward implementing genetic and genomic evaluations for resistance to MAP infection in Holstein cattle.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesJournal of Dairy Science;Vol. 101 (11)
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectgenetic parameteren_US
dc.subjectgenome-wide association studyen_US
dc.subjectparatuberculosisen_US
dc.subjectmilk ELISAen_US
dc.subjectruminanten_US
dc.titleThe genetic architecture of milk ELISA scores as an indicator of Johne's disease (paratuberculosis) in dairy cattleen_US
dc.typeArticleen_US
dc.embargo.terms2019-09-13en_US
dc.identifier.doihttps://doi.org/10.3168/jds.2017-14250
dc.contributor.sponsorThe Semex Alliance
dc.contributor.sponsorNSERC
dc.contributor.sponsorTeagasc Walsh Fellowship Programe
dc.contributor.sponsorConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq/Brazil)
refterms.dateFOA2019-09-13T00:00:00Z


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