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Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations

Local cattle and sheep populations are important for animal production and food security in South Africa. These genetic resources are well adapted to the diverse climatic conditions and hold potential to be utilized in production systems subjected to climate change. The local beef breeds are well in...

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Autores principales: van Marle-Köster, Esté, Lashmar, Simon Frederick, Retief, Anel, Visser, Carina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581043/
https://www.ncbi.nlm.nih.gov/pubmed/34777459
http://dx.doi.org/10.3389/fgene.2021.714194
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author van Marle-Köster, Esté
Lashmar, Simon Frederick
Retief, Anel
Visser, Carina
author_facet van Marle-Köster, Esté
Lashmar, Simon Frederick
Retief, Anel
Visser, Carina
author_sort van Marle-Köster, Esté
collection PubMed
description Local cattle and sheep populations are important for animal production and food security in South Africa. These genetic resources are well adapted to the diverse climatic conditions and hold potential to be utilized in production systems subjected to climate change. The local beef breeds are well integrated into commercial livestock production systems with access to performance recording and genetic evaluations, while local sheep breeds are mainly utilised in smallholder and communal systems. The GeneSeek(®) Genomic Profiler™ Bovine 150 K SNP genotyping array was used to evaluate the diversity and inbreeding status of four indigenous (Boran, Drakensberger, Nguni, Tuli), two composite (Bonsmara and Beefmaster) and two exotic (SA Hereford and Charolais) beef breeds. The Illumina(®) Ovine 50 K SNP BeadChip was used to investigate five indigenous (Black Head Persian, Damara, Fat tail, Namaqua Afrikaner, Pedi) and three commercial (Dorper, Dohne Merino and SA Merino) populations. Although ascertainment bias was indicated by the low MAF (the autosome-wide proportion of SNPs with MAF< 0.05 ranged from 6.18 to 9.97% for cattle, and 7.59–13.81% for sheep), moderate genomic diversity was observed (mean H(o) ranged from 0.296 to 0.403 for cattle, and 0.327 to 0.367 for sheep). Slightly higher levels of ROH-based inbreeding were calculated for cattle (F(ROH) range: 0.018–0.104), than for sheep populations (F(ROH) range: 0.002–0.031). The abundance of short ROH fragments (mean proportion of <4 Mb fragments: 0.405 for cattle, and 0.794 for sheep) indicated ancient inbreeding in both species. The eight cattle populations were categorized into indicine, taurine or Sanga subspecies based on principal component, model-based clustering and phylogenetic analyses, with high levels of admixture observed within the Drakensberger, Nguni and Tuli breeds. Within the sheep populations, a clear distinction could be seen between the dual-purpose breeds, the meat breed and the indigenous breeds. Despite directional selection practiced in the cattle breeds, genomic diversity was moderate with low inbreeding. The non-commercialized, indigenous sheep populations are more vulnerable with small effective populations. These results emphasise the value of genomic information for effective management to exploit the potential contribution of local genetic cattle and sheep resources in a changing environment.
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spelling pubmed-85810432021-11-12 Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations van Marle-Köster, Esté Lashmar, Simon Frederick Retief, Anel Visser, Carina Front Genet Genetics Local cattle and sheep populations are important for animal production and food security in South Africa. These genetic resources are well adapted to the diverse climatic conditions and hold potential to be utilized in production systems subjected to climate change. The local beef breeds are well integrated into commercial livestock production systems with access to performance recording and genetic evaluations, while local sheep breeds are mainly utilised in smallholder and communal systems. The GeneSeek(®) Genomic Profiler™ Bovine 150 K SNP genotyping array was used to evaluate the diversity and inbreeding status of four indigenous (Boran, Drakensberger, Nguni, Tuli), two composite (Bonsmara and Beefmaster) and two exotic (SA Hereford and Charolais) beef breeds. The Illumina(®) Ovine 50 K SNP BeadChip was used to investigate five indigenous (Black Head Persian, Damara, Fat tail, Namaqua Afrikaner, Pedi) and three commercial (Dorper, Dohne Merino and SA Merino) populations. Although ascertainment bias was indicated by the low MAF (the autosome-wide proportion of SNPs with MAF< 0.05 ranged from 6.18 to 9.97% for cattle, and 7.59–13.81% for sheep), moderate genomic diversity was observed (mean H(o) ranged from 0.296 to 0.403 for cattle, and 0.327 to 0.367 for sheep). Slightly higher levels of ROH-based inbreeding were calculated for cattle (F(ROH) range: 0.018–0.104), than for sheep populations (F(ROH) range: 0.002–0.031). The abundance of short ROH fragments (mean proportion of <4 Mb fragments: 0.405 for cattle, and 0.794 for sheep) indicated ancient inbreeding in both species. The eight cattle populations were categorized into indicine, taurine or Sanga subspecies based on principal component, model-based clustering and phylogenetic analyses, with high levels of admixture observed within the Drakensberger, Nguni and Tuli breeds. Within the sheep populations, a clear distinction could be seen between the dual-purpose breeds, the meat breed and the indigenous breeds. Despite directional selection practiced in the cattle breeds, genomic diversity was moderate with low inbreeding. The non-commercialized, indigenous sheep populations are more vulnerable with small effective populations. These results emphasise the value of genomic information for effective management to exploit the potential contribution of local genetic cattle and sheep resources in a changing environment. Frontiers Media S.A. 2021-10-28 /pmc/articles/PMC8581043/ /pubmed/34777459 http://dx.doi.org/10.3389/fgene.2021.714194 Text en Copyright © 2021 van Marle-Köster, Lashmar, Retief and Visser. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
van Marle-Köster, Esté
Lashmar, Simon Frederick
Retief, Anel
Visser, Carina
Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations
title Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations
title_full Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations
title_fullStr Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations
title_full_unstemmed Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations
title_short Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations
title_sort whole-genome snp characterisation provides insight for sustainable use of local south african livestock populations
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581043/
https://www.ncbi.nlm.nih.gov/pubmed/34777459
http://dx.doi.org/10.3389/fgene.2021.714194
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