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The identification of genomic regions associated with tick count, growth traits, and skin thickness in F2 angus x Nguni cattle using genome-wide association analysis
Thesis (PhDAgric)--Stellenbosch University, 2023.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2023
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| _version_ | 1867613886190977024 |
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| access_status_str | Open Access |
| author | Mkize, Nelisiwe |
| author2 | Dzama, Kennedy |
| author_browse | Dzama, Kennedy Mkize, Nelisiwe |
| author_facet | Dzama, Kennedy Mkize, Nelisiwe |
| author_sort | Mkize, Nelisiwe |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (PhDAgric)--Stellenbosch University, 2023. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/129001 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:43:15.981Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/129001 The identification of genomic regions associated with tick count, growth traits, and skin thickness in F2 angus x Nguni cattle using genome-wide association analysis Mkize, Nelisiwe Dzama, Kennedy Mapholi, Ntanganedzeni Dube, Bekezela Maiwashe, Azwihangwisi Stellenbosch University. Faculty of AgriSciences. Dept. of Animal Science. Tick count Cattle -- Functional genomics F2 Angus x Nguni cattle -- Breeding Genomes Tick-borne diseases in animals Genotype-environment interaction -- Data processing Cattle -- Disease resistance -- Genetic aspects Aberdeen-Angus cattle -- Hybridization Nguni cattle -- Hybridization Cattle -- Growth UCTD Thesis (PhDAgric)--Stellenbosch University, 2023. ENGLISH ABSTRACT: The aim of the study was to identify genetic determinants associated with tick count, growth traits, and skin thickness in F2 Angus x Nguni crossbred cattle. Two hundred and sixty-six animals were used in the study. Genetic parameters were estimated by fitting a sire model using pedigree records and by fitting an animal model using a kinship matrix in the ASReml software. Hair samples from the animals were genotyped using Illumina BovineSNP150 assay and there were 115 143 SNPs after quality control. A single SNP approach was used for the association tests, using the mixed model function of the mmscore, while adjusting for population stratification and relatedness in GenABEL. A nominal threshold of Pnominal = 5 x 10-5 was applied to the data. Post-GWAS functional annotation, pathway, and cluster analyses were performed using DAVID and ShinyGo bioinformatics resources with the Bos taurus genome used as a background. Fisher's exact test with false discovery rate (FDR) adjustment was used at p (FDR) < 0.05. The heritability estimates from the sire model for tick count, birth, weaning and yearling weights, and skin thickness were 0.21±0.22, 0.36±0.26, 0.32±0.14, 0.32±0.19, and 0.40±0.15, respectively. The respective heritability estimates obtained from an animal model fitting kinship matrix were 0.12±0.15, 0.26±0.16, 0.70±0.18, 0.38±0.18 and 0.58±0.21. These heritability estimates showed the presence of genetic variation for these traits. Thus, improvement of these traits can be expected from selection. Single nucleotide polymorphisms (SNP) for tick count were observed on chromosomes 2 and 4, while those associated with birth weight were on chromosomes 3 and 12. Chromosomes 2 and 18 contained SNPs for weaning weight and chromosome 8 had a SNP for yearling weight. The SNPs for skin thickness were observed on chromosomes 2, 7, 8, 9, and 12. For tick count, functional annotation uncovered enriched gene ontology (GO) terms and pathways related to cellular processes, regulation of biological processes, and response to stimulus. These were relevant for immune system response necessary for understanding host-tick interaction. Candidate genes such as ZNF746, GIMAP8, and RARRES2 could be potential biomarkers for tick control in cattle. The enriched GO terms and pathways for growth traits were related to ubiquinol- cytochrome-c reductase activity, plasma membrane raft, DNA ligase, ATP dependent among others. These categories were relatable to cell differentiation, skeletal muscle development, and metabolism regulation. The uncovered potential candidate genes for growth traits were TRPM8, SPP2, UQCRFS1, MB, TMEFF1, CAVIN4, and MSANTD3. For skin thickness, the enriched GO terms and pathways were related to immune response, cell differentiation, and transmembrane receptor tyrosine-protein kinase among others. The categories were enriched through FER and NTRK2 genes, which could be regarded as potential candidate genes for skin thickness in this population. The study uncovered some novel and previously identified genes as well as biological mechanisms related to tick count, growth traits, and skin thickness in the F2 Angus x Nguni population. These genes could be used to facilitate genetic improvement of tick count, growth traits, and skin thickness in this population. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar. Doctoral 2023-12-01T11:45:52Z 2024-01-08T18:48:09Z 2023-12-01T11:45:52Z 2024-01-08T18:48:09Z 2023-12 Thesis https://scholar.sun.ac.za/handle/10019.1/129001 en_ZA Stellenbosch University xviii, 150 pages : illustrations (some colour) application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Tick count Cattle -- Functional genomics F2 Angus x Nguni cattle -- Breeding Genomes Tick-borne diseases in animals Genotype-environment interaction -- Data processing Cattle -- Disease resistance -- Genetic aspects Aberdeen-Angus cattle -- Hybridization Nguni cattle -- Hybridization Cattle -- Growth UCTD Mkize, Nelisiwe The identification of genomic regions associated with tick count, growth traits, and skin thickness in F2 angus x Nguni cattle using genome-wide association analysis |
| title | The identification of genomic regions associated with tick count, growth traits, and skin thickness in F2 angus x Nguni cattle using genome-wide association analysis |
| title_full | The identification of genomic regions associated with tick count, growth traits, and skin thickness in F2 angus x Nguni cattle using genome-wide association analysis |
| title_fullStr | The identification of genomic regions associated with tick count, growth traits, and skin thickness in F2 angus x Nguni cattle using genome-wide association analysis |
| title_full_unstemmed | The identification of genomic regions associated with tick count, growth traits, and skin thickness in F2 angus x Nguni cattle using genome-wide association analysis |
| title_short | The identification of genomic regions associated with tick count, growth traits, and skin thickness in F2 angus x Nguni cattle using genome-wide association analysis |
| title_sort | identification of genomic regions associated with tick count growth traits and skin thickness in f2 angus x nguni cattle using genome wide association analysis |
| topic | Tick count Cattle -- Functional genomics F2 Angus x Nguni cattle -- Breeding Genomes Tick-borne diseases in animals Genotype-environment interaction -- Data processing Cattle -- Disease resistance -- Genetic aspects Aberdeen-Angus cattle -- Hybridization Nguni cattle -- Hybridization Cattle -- Growth UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/129001 |
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