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Selection signatures associated with adaptation in South African Drakensberger, Tuli, and Nguni beef breeds.

Dissertation (MSc Agric (Animal Science: Animal Breeding and Genetics))--University of Pretoria, 2024.

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Other Authors: Van Marle-Koster, Este
Format: Thesis
Language:English
Published: University of Pretoria 2024
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access_status_str Open Access
author2 Van Marle-Koster, Este
author_browse Van Marle-Koster, Este
author_facet Van Marle-Koster, Este
collection Thesis
dc_rights_str_mv © 2023 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 Dissertation (MSc Agric (Animal Science: Animal Breeding and Genetics))--University of Pretoria, 2024.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:40:18.073Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2024
publishDateRange 2024
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publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/94913 Selection signatures associated with adaptation in South African Drakensberger, Tuli, and Nguni beef breeds. Van Marle-Koster, Este u22608053@tuks.co.za Visser, Carina Gomo, Maxman UCTD Adaptation, Indigenous breeds, Selection signatures, Candidate genes, Homozygosity Dissertation (MSc Agric (Animal Science: Animal Breeding and Genetics))--University of Pretoria, 2024. Climate change has become a major factor influencing beef production systems. Sanga cattle are a unique genetic resource renowned for their adaptability to diverse climatic conditions. The advent of genomic technologies has allowed opportunities to examine these indigenous cattle at the Deoxyribonucleic acid (DNA) level and may provide insight into genome-level variation associated with adaptive traits. This study aimed to identify signatures of selection within and across the South African Drakensberger (DRB), Nguni (NGI), and Tuli (TUL) populations. A total of 1 706 animals, including 1 117 DRB, 377 NGI, and 214 TUL, were genotyped using GeneSeek® Genomic Profiler™ 150K bovine SNP panel. The R (Biscarini et al., 2018) and PLINK v1.90 (Purcell et al., 2007) analysis tools were used to estimate ROH, ROHet and FST values. A set of 122 632 quality-filtered SNPs were utilized to identify genomic regions under selection based on conserved runs of homozygosity (ROH) and FST-based differentiation of SNPs. The ROH were calculated for various length categories, and a total of 82 871 ROH were identified across all three breeds (mean±standard deviation ROH/animal: DRB=51.82±21.01; NGI=36.09±12.82; TUL=47.94±15.33), with a mean length of 3.90Mb, 2.31Mb and 3.76Mb respectively. The short ROH segments (ROH <4Mb) were most frequent in all breeds. The highest average FROH was observed in DRB (0.081±0.046) followed by TUL (0.074±0.031), while the lowest FROH was found in NGI (0.033±0.024). The estimated mean FST valued between 0.060 (DRB vs NGI & DRB vs TUL), and 0.040 (NGI vs TUL). To identify within-breed selection signatures, genomic regions with the highest frequency for ROH and runs of heterozygosity (ROHet) and observed in more than 20% and 30%, respectively, of the individuals in the population were considered selection signatures. For across-breed selection signatures, regions with FST values falling within the top 0.1% of the empirical FST distribution were considered signatures of positive selection. Annotation of these regions revealed genes which have previously been associated with traits of economic importance such as immunity and adaptation (FKBP4, CTNNA2, MYC, CYSTM1, SRA1, SD14, WDPCP, DTX1, ELMO3, and ADAMTS12), coat colour (MCIR, TUBB3), and reproductive performance (SPARTA33, TCF35, RPS20, CORIN, TXK, NELL2, and TMEM181). Both within-breed (ROH) and across-breed (FST) approaches proved to be useful in identifying genomic regions under selection, and this may contribute to the understanding of the genetic architecture underlying the adaptive traits of local Sanga cattle for sustainable beef production in the future. UP Postgraduate bursary Animal and Wildlife Sciences MSc (Animal Science: Animal Breeding and Genetics) Unrestricted Faculty of Natural and Agricultural Sciences SDG-13:Climate action 2024-02-23T09:40:41Z 2024-02-23T09:40:41Z 2024-05-01 2024-02-23 Dissertation * A2024 A2024 http://hdl.handle.net/2263/94913 DOI: 10.25403/UPresearchdata.25265518 en © 2023 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
Adaptation, Indigenous breeds, Selection signatures, Candidate genes, Homozygosity
Selection signatures associated with adaptation in South African Drakensberger, Tuli, and Nguni beef breeds.
title Selection signatures associated with adaptation in South African Drakensberger, Tuli, and Nguni beef breeds.
title_full Selection signatures associated with adaptation in South African Drakensberger, Tuli, and Nguni beef breeds.
title_fullStr Selection signatures associated with adaptation in South African Drakensberger, Tuli, and Nguni beef breeds.
title_full_unstemmed Selection signatures associated with adaptation in South African Drakensberger, Tuli, and Nguni beef breeds.
title_short Selection signatures associated with adaptation in South African Drakensberger, Tuli, and Nguni beef breeds.
title_sort selection signatures associated with adaptation in south african drakensberger tuli and nguni beef breeds
topic UCTD
Adaptation, Indigenous breeds, Selection signatures, Candidate genes, Homozygosity
url http://hdl.handle.net/2263/94913