Development of non-invasive genomic tools for feral horses
| dc.contributor.advisor | Poissant, Jocelyn | |
| dc.contributor.author | Gavriliuc, Stefan Teodor | |
| dc.contributor.committeemember | Wasmuth, James | |
| dc.contributor.committeemember | Yeaman, Samuel | |
| dc.date | 2023-06 | |
| dc.date.accessioned | 2023-01-31T19:17:18Z | |
| dc.date.available | 2023-01-31T19:17:18Z | |
| dc.date.issued | 2023-01-24 | |
| dc.description.abstract | The expansion of genomic technologies has uncovered profound insights into the physiology, etiology, demography, and treatment of disease in human and livestock populations alike. However, these advances have yet to be realized in wildlife due to the unique technical limitations inherent in these populations, including sample availability and quality. Concurrently, novel methods in genomics have been developed that are amenable for processing genetic samples obtained from wildlife. Specifically, target enrichment approaches have been developed that can amplify and genotype samples of low DNA mass, while genome imputation has been demonstrated as a viable approach for inferring missing genotype information at no incremental cost. Though these technologies may help bridge the gap between wildlife genetics and genomics, they have yet to be thoroughly validated in such populations. In this study, I tested a recently developed target enrichment approach, termed ‘Allegro Targeted Genotyping’ (ATG), as well as genome imputation in a population of free-living horses on Sable Island, Nova Scotia, Canada. For target enrichment, I evaluated the concordance between the output genotypes versus those obtained using standard genotyping approaches at the same set of genetic loci. I then determined the accuracy of genome imputation using existing genetic data from this population using different software as well as varying parameters including reference population size, initial genotype density and selection method for the initial genotypes. Genotypes from ATG were repeatable and concordant with standard genotyping panels, while imputation accuracy was generally high (>99%) and largely impacted by reference population size and initial density used for imputation. Both approaches proved successful and will help facilitate the study of population-wide genomics in Sable Island horses and may be generalizable to other wildlife study systems given further validation. | en_US |
| dc.identifier.citation | Gavriliuc, S. T. (2023). Development of non-invasive genomic tools for feral horses (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1880/115794 | |
| dc.identifier.uri | https://dx.doi.org/10.11575/PRISM/40699 | |
| dc.language.iso | eng | en_US |
| dc.publisher.faculty | Veterinary Medicine | en_US |
| dc.publisher.institution | University of Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | en_US |
| dc.subject | Equus ferus caballus | en_US |
| dc.subject | conservation genomics | en_US |
| dc.subject | non-invasive | en_US |
| dc.subject | imputation | en_US |
| dc.subject | Sable Island | en_US |
| dc.subject.classification | Bioinformatics | en_US |
| dc.subject.classification | Genetics | en_US |
| dc.subject.classification | Veterinary Science | en_US |
| dc.title | Development of non-invasive genomic tools for feral horses | en_US |
| dc.type | master thesis | en_US |
| thesis.degree.discipline | Veterinary Medical Sciences | en_US |
| thesis.degree.grantor | University of Calgary | en_US |
| thesis.degree.name | Master of Science (MSc) | en_US |
| ucalgary.item.requestcopy | true | en_US |