Analysis of genetic diversity and differentiation of sheep populations in Jordan
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Keywords

awassi sheep
DNA Microsatellite
genetic diversity and differentiation.

How to Cite

1.
Al-Atiyat RM, Salameh NM, Tabbaa MJ. Analysis of genetic diversity and differentiation of sheep populations in Jordan. Electron. J. Biotechnol. [Internet]. 2014 Jul. 15 [cited 2024 Nov. 6];17(4). Available from: https://www.ejbiotechnology.info/index.php/ejbiotechnology/article/view/2014.04.002

Abstract

Background: Genetic diversity of sheep in Jordan was investigated using microsatellite markers (MS). Six ovine and bovine MS located on chromosomes 2 and 6 of sheep genome were genotyped on 294 individual from ten geographical regions.

Results: The number of alleles per locus (A), the expected (He) and observed (Ho) heterozygosity were measured. Overall A, He and Ho were 12.67, 0.820 and 0.684, respectively. On the other hand, genetic distances undoubtedly revealed the expected degree of differentiation among the studied populations. The finding showed closeness of three populations from south (Maan and Showbak and Tafeilah) to each other. Populations from Middle regions of Jordan (Karak, Madaba, Amman, AzZarqa and Mafraq) were found to be in one cluster. Only two populations of Middle region were an exception; AlSalt and Dead Sea. Finally, sheep populations from Irbid were located in separated cluster. It was clear that the studied predefined populations were subdivided from four populations and would be most probably accounted as ancestral populations. These results indicate that number of population is less than the predefined population as ten based on geographical sampling areas.

Conclusions: The possible inference might be that geographical location, genetic migration, similar selection forces, and common ancestor account for population admixture and subdivision of Awassi sheep breed in Jordan. Finally, the present study sheds new light on the molecular and population genetics of Awassi sheep from different regions of Jordan and to utilize the possible findings for future management of genetic conservation under conditions of climate changes and crossbreeding policy.

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