Evidence map›Paper›PMID 31002664›Full record

ArticlePloS one2019

Genome-wide diversity and demographic dynamics of Cameroon goats and their divergence from east African, north African, and Asian conspecifics.

Getinet Mekuriaw Tarekegn, Patrick Wouobeng, Kouam Simo Jaures, Raphael Mrode, Zewdu Edea, Bin Liu, Wenguang Zhang, Okeyo Ally Mwai, Tadelle Dessie, Kassahun Tesfaye and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed, 11 citations in OpenAlex.

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  5. Haplotype analysis of the mitochondrial DNAEcology and evolution · 2022
    Article
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

18 authors at 8 institutions in 8 countries.

Getinet Mekuriaw TarekegnDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID 0000-0001-7221-2473
Patrick WouobengBiosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, Nairobi, Kenya.ORCID 0000-0003-3558-0626
Kouam Simo JauresBiosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, Nairobi, Kenya.
Raphael MrodeInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Zewdu EdeaDepartment of Animal Science, Chungbuk National University, Cheongju, Korea.
Bin LiuNei Mongol BioNew Technology Co.Ltd, Hohhot, China.
Wenguang ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Okeyo Ally MwaiInternational Livestock Research Institute (ILRI), Nairobi, Kenya.
Tadelle DessieInternational Livestock Research Institute (ILRI), Addis Ababa, Ethiopia.
Kassahun TesfayeDepartment of Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia.
Erling StrandbergDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Britt BerglundDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Collins MutaiBiosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, Nairobi, Kenya.
Sarah OsamaThe University of Queensland, Queensland, Australia.
Asaminew Tassew WoldeDepartment of Animal Production and Technology, Bahir Dar University, Bahir Dar, Ethiopia.
Josephine BirungiBiosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, Nairobi, Kenya.
Appolinaire DjikengBiosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, Nairobi, Kenya.
Félix MeutchieyeBiosciences Eastern and Central Africa-International Livestock Research Institute (BecA-ILRI) Hub, Nairobi, Kenya.
International Livestock Research Institute · KESwedish University of Agricultural Sciences · SEUniversité de Dschang · CMAddis Ababa University · ETBahir Dar University · ETChungbuk National University · KRInner Mongolia Agricultural University · CNThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indigenous goats make significant contributions to Cameroon's national and local economy, but little effort has been devoted to identifying the populations. Here, we assessed the genetic diversity and demographic dynamics of Cameroon goat populations using mitochondrial DNA (two populations) and autosomal markers (four populations) generated with the Caprine 50K SNP chip. To infer genetic relationships at continental and global level, genotype data on six goat populations from Ethiopia and one population each from Egypt, Morocco, Iran, and China were included in the analysis. The mtDNA analysis revealed 83 haplotypes, all belonging to haplogroup A, in Cameroon goats. Four haplotypes were shared between goats found in Cameroon, Mozambique, Namibia, Zimbabwe, Kenya, and Ethiopia. Analysis of autosomal SNPs in Cameroon goats revealed the lowest HO (0.335±0.13) and HE (0.352±0.15) in the North-west Highland and Central Highland populations, respectively. Overall, the highest HO (0.401±0.12) and HE (0.422±0.12) were found for Barki and Iranian goats, respectively. Barki goats had the highest average MAF, while Central Highland Cameroon goats had the lowest. Overall, Cameroon goats demonstrated high FIS. AMOVA revealed that 13.29% of the variation was explained by genetic differences between the six population groups. Low average FST (0.01) suggests intermixing among Cameroon goats. All measures indicated that Cameroon goats are closer to Moroccan goats than to other goat populations. PCA and STRUCTURE analyses poorly differentiated the Cameroon goats, as did genetic distance, Neighbor-Net network, and neighbor-joining tree analyses. The haplotype analysis of mtDNA showed the initial dispersion of goats to Cameroon and central Africa from north-east Africa following the Nile Delta. Whereas, the approximate Bayesian computation indicated Cameroon goats were separated from Moroccan goats after 506 generations in later times (~1518 YA), as supported by the phylogenetic net-work and admixture outputs. Overall, indigenous goats in Cameroon show weak phylogenetic structure, suggesting either extensive intermixing.

Indexed as

Africa, EasternAfrica, NorthernAnimalsAsiaBayes TheoremCameroonComputer SimulationDNA, MitochondrialGenetics, PopulationGenetic VariationGoatsHaplotypesPhylogenyPolymorphism, Single NucleotideDNA, Mitochondrial

Identifiers

PMID31002664
PMCPMC6474588
OpenAlexW2940257778

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.