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New genetic identification and characterisation of 12 Algerian sheep breeds by microsatellite markers

Authors :
Ameur Ameur Abdelkader
Nezih Ata
Mohammed Tahar Benyoucef
Amel Djaout
Noureddine Azzi
Onur Yilmaz
İbrahim Cemal
Semir Bechir Suheil Gaouar
Source :
Italian Journal of Animal Science, Vol 17, Iss 1, Pp 38-48 (2018)
Publication Year :
2018
Publisher :
Taylor & Francis Group, 2018.

Abstract

Exposition of variations between breeds is very important for genetic diversity. Determination of this variation is needed to reveal population structure and relationship between populations and planning national breeding and conservation programmes. This study was carried out in 296 animals from 12 different local sheep breeds (Barbarine, Ouled Djellal, Ifilene, Srandi, Darâa, Rembi, Berbere, Taâdmit, Hamra, Sidaou, Tazegzawt and D’men) reared in different regions of Algeria. Fifteen microsatellite markers were used to determine between breed genetic diversity. The population of 12 sheep breeds studied from Algeria exhibited a high number of alleles (24.67) and polymorphic information content (0.90). Observed heterozygosity values were lower than expected for all molecular markers except INRA0123 locus. Obtained GST value from the present study indicated that 1.9% of total genetic variation resulted from the differences between the breeds. The present study supplied important information to understand between breed genetic differences. Moreover, it has provided the opportunity to discuss with previously reported results. In light of these findings, it can be said that studied microsatellite markers can be successfully used to determine genetic diversity and population structure in Algerian sheep breeds.

Details

Language :
English
ISSN :
1828051X
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Italian Journal of Animal Science
Publication Type :
Academic Journal
Accession number :
edsdoj.3e64e75cddd7465c907ab5ce72bcea6e
Document Type :
article
Full Text :
https://doi.org/10.1080/1828051X.2017.1335182