Identifying highly informative genetic markers for quantification of ancestry proportions in crossbred sheep populations: Implications for choosing optimum levels of admixture

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cg.authorship.typesCGIAR and developing country instituteen
cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationUniversity of Natural Resources and Life Sciences, Viennaen
cg.contributor.affiliationEthiopian Biodiversity Instituteen
cg.contributor.affiliationCornell Universityen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationInternational Center for Agricultural Research in the Dry Areasen
cg.contributor.affiliationUniversity of Veterinary Medicine, Viennaen
cg.contributor.affiliationDepartment of Breeding and Genetics, Nofimaen
cg.contributor.crpLivestock
cg.contributor.donorAustrian Agency for International Mobility and Cooperation in Education, Science and Researchen
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierMaria Wurzinger: 0000-0001-9391-014X
cg.creator.identifierSolomon Gizaw: 0000-0002-0600-7188
cg.creator.identifierAynalem: 0000-0001-5914-0487
cg.creator.identifierBarbara Rischkowsky: 0000-0002-0035-471X
cg.creator.identifierAlly Okeyo Mwai: 0000-0003-2379-7801
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1186/s12863-017-0526-2en
cg.isijournalISI Journalen
cg.issn1471-2156en
cg.issue1en
cg.journalBMC Geneticsen
cg.reviewStatusPeer Reviewen
cg.species.breedMENZen
cg.species.breedAWASSIen
cg.subject.ilriANIMAL BREEDINGen
cg.subject.ilriBREEDSen
cg.subject.ilriSHEEPen
cg.subject.ilriSMALL RUMINANTSen
cg.volume18en
dc.contributor.authorGetachew, T.en
dc.contributor.authorHuson, Heather J.en
dc.contributor.authorWurzinger, Mariaen
dc.contributor.authorBurgstaller, J.en
dc.contributor.authorGizaw, Solomonen
dc.contributor.authorHaile, Aynalemen
dc.contributor.authorRischkowsky, Barbara A.en
dc.contributor.authorBrem, G.en
dc.contributor.authorBoison, S.A.en
dc.contributor.authorMészáros, Gáboren
dc.contributor.authorOkeyo Mwai, Allyen
dc.contributor.authorSölkner, Johannen
dc.date.accessioned2017-11-01T12:31:43Zen
dc.date.available2017-11-01T12:31:43Zen
dc.identifier.urihttps://hdl.handle.net/10568/89181
dc.titleIdentifying highly informative genetic markers for quantification of ancestry proportions in crossbred sheep populations: Implications for choosing optimum levels of admixtureen
dcterms.abstractBackground Understanding the relationship between genetic admixture and performances is crucial for the success of crossbreeding programs. Use of small sets of ancestry informative markers (AIMs) is a cost effective option to estimate the levels of admixture in situations where pedigree recording is difficult. In this study we select AIMs from Ovine 50KSNP data (SNP – single nucleotide polymorphism) and validate their ability in estimating the contributions of parental breeds to get information about optimum admixture levels for smallholders. Results We estimated admixture levels using ADMIXTURE software based on 74 AIMs selected from Ovine 50KSNP data. Awassi x Ethiopian fat-tailed crossbred sheep populations kept in government farms and farmer villages in different districts were included in the study. Mean Awassi levels estimated based on the selected AIMs were close to the Awassi levels obtained from pedigree information. Estimates from the 74 SNPs were compared to subsets of 65, 55, 45, 35, 25 and 15 SNPs selected based on both top and bottom fixation index (FST) rank using Spearman’s rank correlation (r = 0.862–0.996). A t-test comparison revealed that all SNP subsets had produced similar (P > 0.05) estimates with the 74 SNPs, except for the bottom 15 SNPs (P < 0.05). However estimates based on 45 and above SNP subsets were relatively close to the fitted regression line (r = 0.969–0.996). Association of admixture levels with lamb growth showed that Awassi level affected (P < 0.05) eight months weight in both farmer locations, lambs with higher Awassi levels were heavier. Lambing interval of ewes was longer as Awassi level increased, but this drawback was outweighed by the increased productivity of ewes in terms of eight months lamb weight per year. Conclusions The results indicate that the Ovine 50KSNP array is a powerful tool to identify small sets of AIMs for admixture studies. The results of this study reveal about 45AIMs to accurately estimate admixture levels. If admixture estimation service with such low cost SNP chip would be available, farmers would have a clear market advantage without the need to rely on incomplete or possibly inaccurate pedigree records. Based on the results presented here, we were able to suggest optimum levels of breed composition for the two farmer environments investigated.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2017-08-24
dcterms.bibliographicCitationGetachew, T., Huson, H.J., Wurzinger, M., Burgstaller, J., Gizaw, S., Haile, A., Rischkowsky, B., Brem, G., Boison, S.A., Mészáros, G., Mwai, A.O. and Sölkner, J. 2017. Identifying highly informative genetic markers for quantification of ancestry proportions in crossbred sheep populations: Implications for choosing optimum levels of admixture. BMC Genetics 18:80en
dcterms.issued2017-12
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringeren
dcterms.subjectanimal breedingen
dcterms.subjectsheepen
dcterms.subjectsmall ruminantsen
dcterms.typeJournal Article

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