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dc.contributor.authorRaphaka Ken
dc.contributor.authorSanchez-Molano Een
dc.contributor.authorTsairidou Sen
dc.contributor.authorAnacleto Oen
dc.contributor.authorGlass EJen
dc.contributor.authorWoolliams JAen
dc.contributor.authorDoeschl-Wilson Aen
dc.contributor.authorBanos Gen
dc.date.accessioned2018-10-08T12:52:17Z
dc.date.available2018-10-08T12:52:17Z
dc.date.issued2018
dc.identifier.citation5:237en
dc.identifier.urihttps://doi.org/10.3389/fvets.2018.00237
dc.identifier.urihttp://hdl.handle.net/11262/11524
dc.description.abstractBovine tuberculosis (bTB) poses a challenge to animal health and welfare worldwide. Presence of genetic variation in host resistance to bTB infection makes the trait amenable to improvement with genetic selection. Genetic evaluations for resistance to bTB in dairy cattle are currently available in the United Kingdom (UK), enabling genetic selection of more resistant animals. However, the extent genetic to which selection could contribute to bTB eradication is unknown. The objective of this study was to quantify the impact of genetic selection for bTB resistance on cattle-to-cattle disease transmission dynamics and prevalence by developing a stochastic genetic epidemiological model. The model was used to implement genetic selection in a simulated cattle population. The model considered various levels of selection intensity over 20 generations assuming genetic heterogeneity in host resistance to infection. Our model mimicked the dairy cattle population structure and current bTB control strategies in the UK, and was informed by genetic and epidemiological parameters inferred from data collected from UK bTB infected dairy herds. The risk of a bTB breakdown was modelled as the percentage of herds where initially infected cows (index cases) generated secondary cases by infecting herd-mates. The model predicted that this risk would be reduced by half after 4, 6, 9 and 15 generations for selection intensities corresponding to genetic selection of the 10, 25, 50 and 70% most resistant sires, respectively. In herds undergoing bTB breakdowns, genetic selection reduced the severity of breakdowns over generations by reducing both the percentage of secondary cases and the duration over which new secondary cases were detected. Selection of the 10, 25, 50 and 70% most resistant sires reduced the percentage of secondary cases to less than 1% in 4, 5, 7 and 11 generations, respectively. Similarly, the proportion of chronic breakdowns (breakdowns in which secondary cases were detected for more than 365 days) was reduced by half in 2, 2, 3 and 4 generations, respectively. Collectively, results confirm that genetic selection is a viable tool that can complement existing management and surveillance methods to control and ultimately eradicate bTB.en
dc.description.sponsorshipScottish Government RESAS Strategic Research Programme (RD2.3.2; SD2)en
dc.language.isoenen
dc.relation.isformatof14927en
dc.relation.ispartofFrontiers in Veterinary Scienceen
dc.rightsCopyright © 2018 Raphaka, Sánchez-Molano, Tsairidou, Anacleto, Glass, Woolliams, Doeschl-Wilson and Banos. 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.
dc.subjectBovine tuberculosisen
dc.subjectResistanceen
dc.subjectSusceptibilityen
dc.subjectEpidemiological modelen
dc.subjectGenetic selectionen
dc.subjectPrevalenceen
dc.titleImpact of genetic selection for increased cattle resistance to bovine tuberculosis on disease transmission dynamicsen
dc.typeArticleen
dc.description.versionVersion of Record
rioxxterms.publicationdate2018-10-01
rioxxterms.typeJournal Article/Reviewen
dcterms.dateAccepted2018-09-10
refterms.accessExceptionNAen
refterms.dateDeposit2018-10-08
refterms.depositExceptionNAen
refterms.panelUnspecifieden
refterms.technicalExceptionNAen
refterms.versionVoRen


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