Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental Adaptation

Climate change is a major influencing factor in beef production. The greenhouse gases produced from livestock production systems contribute to the overall greenhouse gas emissions. The aim of this study was to identify selection signatures within and between Nguni and Bonsmara cattle in relation to...

Full description

Bibliographic Details
Main Authors: Bhaveni B. Kooverjee, Pranisha Soma, Magrieta A. Van Der Nest, Michiel M. Scholtz, Frederick W. C. Neser
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.909012/full
_version_ 1828319337299050496
author Bhaveni B. Kooverjee
Bhaveni B. Kooverjee
Pranisha Soma
Magrieta A. Van Der Nest
Michiel M. Scholtz
Michiel M. Scholtz
Frederick W. C. Neser
author_facet Bhaveni B. Kooverjee
Bhaveni B. Kooverjee
Pranisha Soma
Magrieta A. Van Der Nest
Michiel M. Scholtz
Michiel M. Scholtz
Frederick W. C. Neser
author_sort Bhaveni B. Kooverjee
collection DOAJ
description Climate change is a major influencing factor in beef production. The greenhouse gases produced from livestock production systems contribute to the overall greenhouse gas emissions. The aim of this study was to identify selection signatures within and between Nguni and Bonsmara cattle in relation to production and adaptation. For this purpose, genomic 150 K single nucleotide polymorphism data from Nguni (n = 231) and Bonsmara (n = 252) cattle in South Africa were used. Extended haplotype homozygosity (EHH) based analysis was executed within each population using integrated haplotype score (iHS). The R package rehh was used for detecting selection signatures across the two populations with cross population EHH (XP-EHH). Total of 121 regions of selection signatures were detected (p < 0.0001) in the Bonsmara and Nguni populations. Several genes relating to DNA methylation, heat stress, feed efficiency and nitrogen metabolism were detected within and between each population. These regions also included QTLs associated with residual feed intake, residual gain, carcass weight, stature and body weight in the Bonsmara, while QTLs associated with conception rate, shear force, tenderness score, juiciness, temperament, heat tolerance, feed efficiency and age at puberty were identified in Nguni. Based on the results of the study it is recommended that the Nguni and Bonsmara be utilized in crossbreeding programs as they have beneficial traits that may allow them to perform better in the presence of climate change. Results of this study coincide with Nguni and Bonsmara breed characteristics and performance, and furthermore support informative crossbreeding programs to enhance livestock productivity in South Africa.
first_indexed 2024-04-13T17:54:56Z
format Article
id doaj.art-2c2a6c4a947a42bbb98b87f05cbf1e58
institution Directory Open Access Journal
issn 1664-8021
language English
last_indexed 2024-04-13T17:54:56Z
publishDate 2022-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Genetics
spelling doaj.art-2c2a6c4a947a42bbb98b87f05cbf1e582022-12-22T02:36:33ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-06-011310.3389/fgene.2022.909012909012Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental AdaptationBhaveni B. Kooverjee0Bhaveni B. Kooverjee1Pranisha Soma2Magrieta A. Van Der Nest3Michiel M. Scholtz4Michiel M. Scholtz5Frederick W. C. Neser6Department of Animal Breeding and Genetics, Animal Production, Agricultural Research Council, Pretoria, South AfricaDepartment of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South AfricaDepartment of Animal Breeding and Genetics, Animal Production, Agricultural Research Council, Pretoria, South AfricaBiotechnology Platform, Agricultural Research Council, Pretoria, South AfricaDepartment of Animal Breeding and Genetics, Animal Production, Agricultural Research Council, Pretoria, South AfricaDepartment of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South AfricaDepartment of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South AfricaClimate change is a major influencing factor in beef production. The greenhouse gases produced from livestock production systems contribute to the overall greenhouse gas emissions. The aim of this study was to identify selection signatures within and between Nguni and Bonsmara cattle in relation to production and adaptation. For this purpose, genomic 150 K single nucleotide polymorphism data from Nguni (n = 231) and Bonsmara (n = 252) cattle in South Africa were used. Extended haplotype homozygosity (EHH) based analysis was executed within each population using integrated haplotype score (iHS). The R package rehh was used for detecting selection signatures across the two populations with cross population EHH (XP-EHH). Total of 121 regions of selection signatures were detected (p < 0.0001) in the Bonsmara and Nguni populations. Several genes relating to DNA methylation, heat stress, feed efficiency and nitrogen metabolism were detected within and between each population. These regions also included QTLs associated with residual feed intake, residual gain, carcass weight, stature and body weight in the Bonsmara, while QTLs associated with conception rate, shear force, tenderness score, juiciness, temperament, heat tolerance, feed efficiency and age at puberty were identified in Nguni. Based on the results of the study it is recommended that the Nguni and Bonsmara be utilized in crossbreeding programs as they have beneficial traits that may allow them to perform better in the presence of climate change. Results of this study coincide with Nguni and Bonsmara breed characteristics and performance, and furthermore support informative crossbreeding programs to enhance livestock productivity in South Africa.https://www.frontiersin.org/articles/10.3389/fgene.2022.909012/fullclimate changecompositeDNA methylationgenomic selectiongenomic structureindigenous
spellingShingle Bhaveni B. Kooverjee
Bhaveni B. Kooverjee
Pranisha Soma
Magrieta A. Van Der Nest
Michiel M. Scholtz
Michiel M. Scholtz
Frederick W. C. Neser
Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental Adaptation
Frontiers in Genetics
climate change
composite
DNA methylation
genomic selection
genomic structure
indigenous
title Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental Adaptation
title_full Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental Adaptation
title_fullStr Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental Adaptation
title_full_unstemmed Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental Adaptation
title_short Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental Adaptation
title_sort selection signatures in south african nguni and bonsmara cattle populations reveal genes relating to environmental adaptation
topic climate change
composite
DNA methylation
genomic selection
genomic structure
indigenous
url https://www.frontiersin.org/articles/10.3389/fgene.2022.909012/full
work_keys_str_mv AT bhavenibkooverjee selectionsignaturesinsouthafricannguniandbonsmaracattlepopulationsrevealgenesrelatingtoenvironmentaladaptation
AT bhavenibkooverjee selectionsignaturesinsouthafricannguniandbonsmaracattlepopulationsrevealgenesrelatingtoenvironmentaladaptation
AT pranishasoma selectionsignaturesinsouthafricannguniandbonsmaracattlepopulationsrevealgenesrelatingtoenvironmentaladaptation
AT magrietaavandernest selectionsignaturesinsouthafricannguniandbonsmaracattlepopulationsrevealgenesrelatingtoenvironmentaladaptation
AT michielmscholtz selectionsignaturesinsouthafricannguniandbonsmaracattlepopulationsrevealgenesrelatingtoenvironmentaladaptation
AT michielmscholtz selectionsignaturesinsouthafricannguniandbonsmaracattlepopulationsrevealgenesrelatingtoenvironmentaladaptation
AT frederickwcneser selectionsignaturesinsouthafricannguniandbonsmaracattlepopulationsrevealgenesrelatingtoenvironmentaladaptation