Evidence map›Paper›PMID 31529304›Full record

ArticleTropical animal health and production2020

Genetic diversity and relationships among three Southern African Nguni cattle populations.

Matome A Madilindi, Cuthbert B Banga, Evison Bhebhe, Yandisiwe P Sanarana, Khanyisani S Nxumalo, Maria G Taela, Bongani S Magagula, Ntanganedzeni O Mapholi

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Article in Tropical animal health and production, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 26 citations in OpenAlex.

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  6. Population structure, inbreeding and admixture in local cattle populations managed by community-based breeding programs in Burkina Faso.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

Matome A MadilindiDepartment of Animal Science, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africa. matomemadilindi@gmail.com.ORCID http://orcid.org/0000-0002-5814-8257
Cuthbert B BangaARC-Animal Production, Private Bag X2, Irene, 0062, South Africa.
Evison BhebheDepartment of Animal Science, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africa.
Yandisiwe P SanaranaARC-Animal Production, Private Bag X2, Irene, 0062, South Africa.
Khanyisani S NxumaloARC-Animal Production, Private Bag X2, Irene, 0062, South Africa.
Maria G TaelaDirectorate of Animal Science, Agrarian Research Institute of Mozambique, Av. Namaacha Km 11.5, P.O. Box 1410, Maputo, Mozambique.
Bongani S MagagulaDepartment of Veterinary and Livestock Services, Ministry of Agriculture, P.O. Box 162, Mbabane, Swaziland.
Ntanganedzeni O MapholiDepartment of Life and Consumer Sciences, University of South Africa, Private Bag X6, Florida, 1710, South Africa.
Animal Production Institute · ZAInstituto de Investigação Agrária de Moçambique · MZMinistry of Agriculture Livestock and Fisheries · KEUniversity of South Africa · ZAUniversity of Venda · ZA

Funding

National Research Foundation (Republic of South Africa) 103042SASSCAL-CSIR Grant, Republic of South Africa NoneUNIVEN RPC Grant, Republic of South Africa SARDF/16/ANS/03/1404
6 · The paper itself

Abstract

The Nguni cattle breed has distinct populations that are adapted to the different ecological zones of Southern Africa. This study was carried out to assess genetic diversity and establish the relationships among South African (SA), Mozambican (Landim), and Swazi Nguni cattle populations, using 25 microsatellite markers. Genotypic data were generated from deoxyribonucleic acid (DNA) samples of 90 unrelated individuals of the three cattle populations, collected from government conservations and stud herds. DNA profiles of five local beef breeds were used as the reference populations. Most of the 25 microsatellite markers were highly polymorphic across the studied populations, with an overall polymorphic information content (PIC) mean of 0.676. Genetic diversity within populations was high with expected heterozygosity varying from 0.705 ± 0.024 (Landim) to 0.748 ± 0.021 (SA Nguni) and mean number of alleles being highest in the SA Nguni (7.52 ± 0.42). Average observed heterozygosity (0.597 ± 0.046) compared to the expected heterozygosity (0.719 ± 0.022) was lowest for the Swazi Nguni, which also had a high number of Hardy-Weinberg Equilibrium (HWE) deviated loci (13), confirming the relatively high level of inbreeding (0.158 ± 0.058) in that population. Analysis of molecular variance revealed only 9.61% of the total variation between the populations and 90.39% within populations. A short genetic distance (0.299) was observed between Landim and Swazi Nguni, with the SA Nguni (> 0.500) being the most genetically distant population. The distant relationship between SA Nguni and the other two Nguni cattle populations was further confirmed by a principal coordinates analysis. The three Nguni populations clustered independently from each other, despite some evidence of admixture. Therefore, it can be concluded that SA Nguni, Landim, and Swazi Nguni populations in Southern Africa exhibit high levels of genetic diversity and are genetically distant; with the two latter populations being less genetically apart. These results present useful information for the development of strategies for regional management of animal genetic resources, through conservation and sustainable utilisation.

Indexed as

Genetic VariationAfrica, SouthernAllelesAnimalsBreedingCattleDNAGenetics, PopulationGenotypeHairHeterozygoteInbreedingMicrosatellite RepeatsPrincipal Component AnalysisDNAFarm animal genetic resourcesGenetic characterisationMicrosatellite markersPopulation structure

Identifiers

PMID31529304
OpenAlexW2973028167

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.