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Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing

Thesis (PhD)--University of Pretoria, 2017.

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Other Authors: Van Marle-Koster, Este
Format: Thesis
Language:English
Published: University of Pretoria 2018
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author2 Van Marle-Koster, Este
author_browse Van Marle-Koster, Este
author_facet Van Marle-Koster, Este
collection Thesis
dc_rights_str_mv © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2017.
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institution University of Pretoria (South Africa)
language English
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provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
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publisher University of Pretoria
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spelling oai:repository.up.ac.za:2263/65959 Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing Van Marle-Koster, Este u27562256@tuks.co.za Maiwashe, A. Zwane, Avhashoni Agnes UCTD Beef cattle genetic differentiation minor allele frequency polymorphisms Natural and agricultural sciences theses SDG-02 Natural and agricultural sciences theses SDG-12 Natural and agricultural sciences theses SDG-13 Thesis (PhD)--University of Pretoria, 2017. Afrikaner, Drakensberger, and Nguni are the South African (SA) landraces that played major roles in the social, cultural and economic history of SA. These breeds are valuable genetic resources for beef production and limited information is available for these breeds at the genome level. The aim of this study was to perform SNP discovery in these three breeds using whole genome sequencing. Ninety cattle representing the three breeds were used to identify more about 17.6 M putative variants including SNPs and Indels. DNA was extracted from blood and hair samples, quantified and prepared at 50ng/?l concentration for sequencing at the Agricultural Research Council Biotechnology Platform using an Illumina HiSeq 2000. The fastq files were used to call the variants using the Genome Analysis Tool Kit. A total of 4,369,879 (16% of the total SNPs) were identified as novel. Annotation of these variants classified them into functional categories. Within the coding regions, 43% of the SNPs were nonsynonymous substitutions that encode for alternate amino acids. Functional enrichment analysis of novel SNPs identified significant number of genes (p < 0.001) that were located within 5% of 1,481 100kb windows. Gene ontology terms identified genes such as MLANA and SYT10 that have been associated with coat colour and sense of smell in mouse, respectively, and the ADAMS3 gene has been associated with fertility in cattle. Furthermore, whole genome screening detected 688 candidate selective sweeps (ZHp Z-scores ? -4) across all three breeds, of which 223 regions were assigned as being putative selective sweeps (ZHp scores ? -5). We also identified 96 regions with extremely low ZHp Z-scores (? -6) in Afrikaner and Nguni. Several genes such as KIT and MITF that have been associated with skin pigmentation in cattle, and CACNA1C, which has been associated biopolar disorder in human were identified in these regions. Breed-specific SNPs (2,272,667) were identified across the breeds and only 186 of these SNPs were identified as putative breed-specific SNPs. These SNPs were further tested for their ability to assign individuals to a breed and need further validation. This study provides the first analysis of sequence data to discover SNPs in indigenous SA cattle breeds. These results provide insight into the genetic composition of the breeds and offer the potential for further applications in their genetic improvement. bs2026 Animal and Wildlife Sciences PhD Unrestricted SDG-02: Zero hunger SDG-12: Responsible consumption and production SDG-13: Climate action 2018-07-25T09:01:12Z 2018-07-25T09:01:12Z 2018/04/19 2017 Thesis Zwane, AA 2017, Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/65959> A2018 http://hdl.handle.net/2263/65959 en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Beef cattle
genetic differentiation
minor allele frequency
polymorphisms
Natural and agricultural sciences theses SDG-02
Natural and agricultural sciences theses SDG-12
Natural and agricultural sciences theses SDG-13
Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing
title Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing
title_full Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing
title_fullStr Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing
title_full_unstemmed Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing
title_short Genome-wide marker discovery in three South African indigenous cattle breeds (Afrikaner Drakensberger and Nguni) using next generation sequencing
title_sort genome wide marker discovery in three south african indigenous cattle breeds afrikaner drakensberger and nguni using next generation sequencing
topic UCTD
Beef cattle
genetic differentiation
minor allele frequency
polymorphisms
Natural and agricultural sciences theses SDG-02
Natural and agricultural sciences theses SDG-12
Natural and agricultural sciences theses SDG-13
url http://hdl.handle.net/2263/65959