Evidence map›Paper›PMID 34925440›Full record

ArticleFrontiers in genetics2021

Genomic Uniqueness of Local Sheep Breeds From Morocco.

Abdessamad Ouhrouch, Simon Boitard, Frédéric Boyer, Bertrand Servin, Anne Da Silva, François Pompanon, Abdelmajid Haddioui, Badr Benjelloun

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Article in Frontiers in genetics, 2021. 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
–field-weighted citation impact
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

5 citing papers in PubMed.

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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.

Abdessamad OuhrouchLivestock Genomics Laboratory, Regional Center of Agricultural Research Tadla, National Institute of Agricultural Research INRA, Rabat, Morocco.
Simon BoitardCBGP, Université de Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France.
Frédéric BoyerUniversité Grenoble Alpes, Université Savoie MT-Blanc, CNRS, LECA, Grenoble, France.
Bertrand ServinGenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, Castanet-Tolosan, France.
Anne Da SilvaPEREINE/E2LIM, Faculty of Science and Technics, Limoges, France.
François PompanonUniversité Grenoble Alpes, Université Savoie MT-Blanc, CNRS, LECA, Grenoble, France.
Abdelmajid HaddiouiBiotechnologies and Valorization of Plant-Genetic Resources Laboratory, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Badr BenjellounLivestock Genomics Laboratory, Regional Center of Agricultural Research Tadla, National Institute of Agricultural Research INRA, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sheep farming is a major source of meat in Morocco and plays a key role in the country's agriculture. This study aims at characterizing the whole-genome diversity and demographic history of the main Moroccan sheep breeds, as well as to identify selection signatures within and between breeds. Whole genome data from 87 individuals representing the five predominant local breeds were used to estimate their level of neutral genetic diversity and to infer the variation of their effective population size over time. In addition, we used two methods to detect selection signatures: either for detecting selective sweeps within each breed separately or by detecting differentially selected regions by contrasting different breeds. We identified hundreds of genomic regions putatively under selection, which related to several biological terms involved in local adaptation or the expression of zootechnical performances such as Growth, UV protection, Cell maturation or Feeding behavior. The results of this study revealed selection signatures in genes that have an important role in traits of interest and increased our understanding of how genetic diversity is distributed in these local breeds. Thus, Moroccan local sheep breeds exhibit both a high genetic diversity and a large set of adaptive variations, and therefore, represent a valuable genetic resource for the conservation of sheep in the context of climate change.

Indexed as

demographylocal breedsselection signaturessheepwhole genome sequences

Identifiers

PMID34925440
PMCPMC8675355

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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.