Evidence map›Paper›PMID 34295359›Full record

ArticleEvolutionary applications2021

Ethiopian indigenous goats offer insights into past and recent demographic dynamics and local adaptation in sub-Saharan African goats.

Getinet M Tarekegn, Negar Khayatzadeh, Bin Liu, Sarah Osama, Aynalem Haile, Barbara Rischkowsky, Wenguang Zhang, Kassahun Tesfaye, Tadelle Dessie, Okeyo A Mwai and 2 more

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

12 authors at 7 institutions in 7 countries.

Getinet M TarekegnDepartment of Animal Production and Technology School of Animal Sciences and Veterinary Medicine Bahir Dar University Bahir Dar Ethiopia.
Negar KhayatzadehDepartment of Sustainable Agricultural Systems Division of Livestock Sciences University of Natural Resources and Life Sciences Vienna Austria.
Bin LiuInner Mongolia Agricultural University Hohhot China.
Sarah OsamaThe University of Queensland Saint Lucia QLD Australia.
Aynalem HaileSmall Ruminant Genomics International Centre for Agricultural Research in the Dry Areas (ICARDA) Addis Ababa Ethiopia.
Barbara RischkowskySmall Ruminant Genomics International Centre for Agricultural Research in the Dry Areas (ICARDA) Addis Ababa Ethiopia.
Wenguang ZhangInner Mongolia Agricultural University Hohhot China.
Kassahun TesfayeDepartment of Microbial, Cellular and Molecular Biology Addis Ababa University Addis Ababa Ethiopia.
Tadelle DessieInternational Livestock Research Institute (ILRI) Addis Ababa Ethiopia.
Okeyo A MwaiInternational Livestock Research Institute (ILRI) Nairobi Kenya.
Appolinaire DjikengAnimal and Veterinary Sciences Group, SRUC and Centre for Tropical Livestock Genetics and Health (CTLGH) The Roslin Institute Easter Bush Midlothian UK.
Joram M MwacharoSmall Ruminant Genomics International Centre for Agricultural Research in the Dry Areas (ICARDA) Addis Ababa Ethiopia.ORCID https://orcid.org/0000-0001-6981-8140
Inner Mongolia Agricultural University · CNRoslin Institute · GBAddis Ababa University · ETBOKU University · ATInternational Livestock Research Institute · KESwedish University of Agricultural Sciences · SEThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge on how adaptive evolution and human socio-cultural and economic interests shaped livestock genomes particularly in sub-Saharan Africa remains limited. Ethiopia is in a geographic region that has been critical in the history of African agriculture with ancient and diverse human ethnicity and bio-climatic conditions. Using 52K genome-wide data analysed in 646 individuals from 13 Ethiopian indigenous goat populations, we observed high levels of genetic variation. Although runs of homozygosity (ROH) were ubiquitous genome-wide, there were clear differences in patterns of ROH length and abundance and in effective population sizes illustrating differences in genome homozygosity, evolutionary history, and management. Phylogenetic analysis incorporating patterns of genetic differentiation and gene flow with ancestry modelling highlighted past and recent intermixing and possible two deep ancient genetic ancestries that could have been brought by humans with the first introduction of goats in Africa. We observed four strong selection signatures that were specific to Arsi-Bale and Nubian goats. These signatures overlapped genomic regions with genes associated with morphological, adaptation, reproduction and production traits due possibly to selection under environmental constraints and/or human preferences. The regions also overlapped uncharacterized genes, calling for a comprehensive annotation of the goat genome. Our results provide insights into mechanisms leading to genome variation and differentiation in sub-Saharan Africa indigenous goats.

Indexed as

autozygositydiversityeffective population sizegenome dynamicsLD decayruns of homozygosityselection signatures

Identifiers

PMID34295359
PMCPMC8287980
OpenAlexW3081597555

What OpenQuestion holds

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LicenceCC BY
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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.