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 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 range: 0.018-0.104), than for sheep populations (F 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581043PMC
http://dx.doi.org/10.3389/fgene.2021.714194DOI Listing

Publication Analysis

Top Keywords

sheep populations
8
production systems
8
beef breeds
8
sheep
5
whole-genome snp
4
snp characterisation
4
characterisation insight
4
insight sustainable
4
local
4
sustainable local
4

Similar Publications

Distinctive molecular approaches and tools, particularly high-throughput SNP genotyping, have been applied to determine and discover SNPs, potential genes of interest, indicators of evolutionary selection, genetic abnormalities, molecular indicators, and loci associated with quantitative traits (QTLs) in various livestock species. These methods have also been used to obtain whole-genome sequencing (WGS) data, enabling the implementation of genomic selection. Genomic selection allows for selection decisions based on genomic-estimated breeding values (GEBV).

View Article and Find Full Text PDF

The three members of the genus capripoxvirus (CaPV), lumpy skin disease virus (LSDV), sheeppox virus (SPPV), and goatpox virus (GTPV) have common hosts and areas of overlapping geographical distribution with Rift Valley fever virus (RVFV). Hence, to ensure more cost-effective disease surveillance we developed and evaluated a Luminex assay for the simultaneous detection of antibodies against CaPV and RVFV in domestic ruminants. In cattle, the assay had a sensitivity (Se) of 98.

View Article and Find Full Text PDF

Selection signature analysis reveals genes associated with tail phenotype in sheep.

Front Genet

December 2024

Animal Husbandry Institute, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China.

Tail type of sheep, which may be affected by many genes with a complex mechanism, is an important economic trait concerned by both raiser and consumers. Here, we employed two sheep breeds with extreme phenotypes - Mongolian sheep (short-fat-tailed) and Bamei Mutton sheep (long-thin-tailed) to analyze the genetic differences at the genomic level and find candidate genes associated with tail phenotype. The results of population structure analysis showed that the LD decay rate of Mongolian sheep was greater than that of Bamai Mutton sheep.

View Article and Find Full Text PDF

Shedding light on risk: Seroprevalence of Q fever among farm animals and workers in Ecuador.

One Health

December 2024

One Health Research Group, Facultad de Ciencias de la Salud, Universidad de Las Américas, Quito, Ecuador, 170503.

Q fever, caused by the bacterium , is a zoonotic disease that has been largely overlooked despite presenting significant risks to both animal and public health. Although well studied in some countries, in most countries in Latin America, there's a lack of information on infection, its prevalence, and its impact on both livestock and human populations. To address this gap, we conducted a serosurvey among farm workers, cattle, sheep, and dogs on two dairy farms in Ecuador using a commercial ELISA kit.

View Article and Find Full Text PDF

This study aimed to assess the geographical distribution of Q fever in sheep and goats in different areas of Punjab, Pakistan. Three hundred blood samples of small ruminants including sheep and goats were collected from 60 villages of three districts (Okara, Kasur, and Pakpattan) of Punjab Province Pakistan and tested for the detection of anti-Coxiella burnetii antibodies using a commercial Indirect ELISA kit. Data related to sampling location, host species, gender, age, and GPS coordinates were collected for spatial analysis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!