Evidence map›Paper›PMID 28861243›Full record

ArticleEcology and evolution2017

Assessing patterns of genetic admixture between sheep breeds: Case study in Algeria.

Sahraoui Harkat, Abbes Laoun, Ibrahim Belabdi, Rédha Benali, Djouhar Outayeb, Nathalie Payet-Duprat, Véronique Blanquet, Mohamed Lafri, Anne Da Silva

Abstract read
In one paragraph

Article in Ecology and evolution, 2017. 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

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.

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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

9 authors.

Sahraoui HarkatLaboratoire des biotechnologies liées à la reproduction animale Université de Blida Blida Algeria.
Abbes LaounUniversité de Djelfa Djelfa Algeria.
Ibrahim BelabdiLaboratoire des biotechnologies liées à la reproduction animale Université de Blida Blida Algeria.
Rédha BenaliLaboratoire des biotechnologies liées à la reproduction animale Université de Blida Blida Algeria.
Djouhar OutayebLaboratoire des biotechnologies liées à la reproduction animale Université de Blida Blida Algeria.
Nathalie Payet-DupratINRA UMR 1061 Génétique Moléculaire Animale Limoges France.
Véronique BlanquetINRA UMR 1061 Génétique Moléculaire Animale Limoges France.
Mohamed LafriLaboratoire des biotechnologies liées à la reproduction animale Université de Blida Blida Algeria.
Anne Da SilvaINRA UMR 1061 Génétique Moléculaire Animale Limoges France.ORCID 0000-0001-7854-6642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In developing countries, cross-breeding between local breeds and indigene or exotic breeds represents one of the main threats to the livestock diversity, leading to genetic dilution and loss of unique allelic combination underlying essential local adaptive traits. In this study, two Algerian sheep breeds, known to be highly admixed, were considered as a case study, to demonstrate how combination of different methodologies coupled with the use of specific softwares can be efficient to assess the spatial structuration of a hybrid zone, even in a case of extreme admixture. A fine sampling covering distribution areas of both breeds was implemented in order to study the admixture area and adjacent zones from a phenotypic (i.e., 19 quantitative traits were considered) and a genetic point of view (i.e., 21 microsatellites markers were used). Both approaches gave concordant patterns, highlighting areas with sheep most differentiated (or less admixed) for each breed. In detail, the region of Biskra appeared as the most preserved for the Ouled-Djellal breed and the northwest of Laghouat was identified as the most preserved area for the Rembi breed. The approach proposed in the study offers a low-cost solution to identify the most representative flocks of a breed, allowing the implementation of efficient conservation plans.

Indexed as

conservationcross‐breedinghybridizationlocal breedsmicrosatellitesspatial analysis

Identifiers

PMID28861243
PMCPMC5574784

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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.