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New genetic identification and characterisation of 12 Algerian sheep breeds by microsatellite markers
- 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.
- Subjects :
- Genetic diversity
structure
sheep
native sheep breeds
Animal culture
SF1-1100
Subjects
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