Evidence map›Paper›PMID 25904931›Full record

ArticleFrontiers in genetics2015

Characterizing neutral genomic diversity and selection signatures in indigenous populations of Moroccan goats (Capra hircus) using WGS data.

Badr Benjelloun, Florian J Alberto, Ian Streeter, Frédéric Boyer, Eric Coissac, Sylvie Stucki, Mohammed BenBati, Mustapha Ibnelbachyr, Mouad Chentouf, Abdelmajid Bechchari and 10 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 104 citations in OpenAlex.

  1. Article
  2. Genomic advancements in goat breeding: enhancing productivity, disease resistance, and sustainability in India's rural economy.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  3. Local Climate Adaptation in Chinese Indigenous Pig Genomes.Animals : an open access journal from MDPI · 2025
    Article
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  19. Long-range linkage disequilibrium in French beef cattle breeds.Genetics, selection, evolution : GSE · 2021
    Article
  20. Review
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

20 authors at 6 institutions in 3 countries.

Badr BenjellounLaboratoire d'Ecologie Alpine, Université Grenoble-Alpes Grenoble, France ; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique Grenoble, France ; National Institute of Agronomic Research (INRA Maroc), Regional Centre of Agronomic Research Beni-Mellal, Morocco.
Florian J AlbertoLaboratoire d'Ecologie Alpine, Université Grenoble-Alpes Grenoble, France ; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique Grenoble, France.
Ian StreeterEuropean Molecular Biology Laboratory, European Bioinformatics Institute Hinxton, UK.
Frédéric BoyerLaboratoire d'Ecologie Alpine, Université Grenoble-Alpes Grenoble, France ; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique Grenoble, France.
Eric CoissacLaboratoire d'Ecologie Alpine, Université Grenoble-Alpes Grenoble, France ; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique Grenoble, France.
Sylvie StuckiLaboratory of Geographic Information Systems (LASIG), School of Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne Lausanne, Switzerland.
Mohammed BenBatiNational Institute of Agronomic Research (INRA Maroc), Regional Centre of Agronomic Research Beni-Mellal, Morocco.
Mustapha IbnelbachyrRegional Centre of Agronomic Research Errachidia, National Institute of Agronomic Research (INRA Maroc) Errachidia, Morocco.
Mouad ChentoufRegional Centre of Agronomic Research Tangier, National Institute of Agronomic Research (INRA Maroc) Tangier, Morocco.
Abdelmajid BechchariRegional Centre of Agronomic Research Oujda, National Institute of Agronomic Research (INRA Maroc) Oujda, Morocco.
Kevin LeempoelLaboratory of Geographic Information Systems (LASIG), School of Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne Lausanne, Switzerland.
Adriana AlbertiCentre National de Séquençage, CEA-Institut de Génomique Genoscope, Évry, France.
Stefan EngelenCentre National de Séquençage, CEA-Institut de Génomique Genoscope, Évry, France.
Abdelkader ChikhiRegional Centre of Agronomic Research Errachidia, National Institute of Agronomic Research (INRA Maroc) Errachidia, Morocco.
Laura ClarkeEuropean Molecular Biology Laboratory, European Bioinformatics Institute Hinxton, UK.
Paul FlicekEuropean Molecular Biology Laboratory, European Bioinformatics Institute Hinxton, UK.
Stéphane JoostLaboratory of Geographic Information Systems (LASIG), School of Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne Lausanne, Switzerland.
Pierre TaberletLaboratoire d'Ecologie Alpine, Université Grenoble-Alpes Grenoble, France ; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique Grenoble, France.
François PompanonLaboratoire d'Ecologie Alpine, Université Grenoble-Alpes Grenoble, France ; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique Grenoble, France.
NextGen Consortium
Centre National de la Recherche Scientifique · FRÉcole Polytechnique Fédérale de Lausanne · CHEuropean Bioinformatics Institute · GBGenoscope · FRLaboratoire d'Écologie Alpine · FRUniversité Grenoble Alpes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the time of their domestication, goats (Capra hircus) have evolved in a large variety of locally adapted populations in response to different human and environmental pressures. In the present era, many indigenous populations are threatened with extinction due to their substitution by cosmopolitan breeds, while they might represent highly valuable genomic resources. It is thus crucial to characterize the neutral and adaptive genetic diversity of indigenous populations. A fine characterization of whole genome variation in farm animals is now possible by using new sequencing technologies. We sequenced the complete genome at 12× coverage of 44 goats geographically representative of the three phenotypically distinct indigenous populations in Morocco. The study of mitochondrial genomes showed a high diversity exclusively restricted to the haplogroup A. The 44 nuclear genomes showed a very high diversity (24 million variants) associated with low linkage disequilibrium. The overall genetic diversity was weakly structured according to geography and phenotypes. When looking for signals of positive selection in each population we identified many candidate genes, several of which gave insights into the metabolic pathways or biological processes involved in the adaptation to local conditions (e.g., panting in warm/desert conditions). This study highlights the interest of WGS data to characterize livestock genomic diversity. It illustrates the valuable genetic richness present in indigenous populations that have to be sustainably managed and may represent valuable genetic resources for the long-term preservation of the species.

Indexed as

Capra hircusgenomic diversityindigenous populationsMoroccopopulation genomicsselection signaturesWGS

Identifiers

PMID25904931
PMCPMC4387958
OpenAlexW1555498510

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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.