Genetic Diversity and Population Structure of Bulgarian Autochthonous Sheep Breeds Revealed by Microsatellite Analysis

Author:

Mihailova Yanka1,Rusanov Krasimir2ORCID,Rusanova Mila2,Vassileva Pavlina2,Atanassov Ivan2ORCID,Nikolov Vasil3,Todorovska Elena G.12ORCID

Affiliation:

1. Agricultural Academy, 30 Suhodolska Str., 1373 Sofia, Bulgaria

2. Department of Agrobiotechnology, AgroBioInstitute, Agricultural Academy, 8 Dragan Tsankov Blvd., 1164 Sofia, Bulgaria

3. Department of Livestock Sciences, Agricultural University (AU), 12 Mendeleev Blvd., 4000 Plovdiv, Bulgaria

Abstract

This study attempts to provide a deeper insight into the current genetic status of 12 Bulgarian autochthonous sheep breeds using microsatellite (SSR) markers. A total of 600 individuals from 50 flocks were analyzed using a panel of 13 SSR markers. In total, 228 alleles were found in the studied microsatellite loci. The mean number of alleles, the effective number of alleles, and the polymorphic information content (PIC) values per locus were 17.54, 5.250, and 0.799, respectively. The expected heterozygosity (He) for all breeds ranged from 0.70 to 0.82. The within-population heterozygote deficit (Fis) varied from −0.03 to 0.1, reflecting significant levels for 10 of the 12 breeds. The average genetic differentiation (Fst) was 0.046, revealing a low discrimination between the breeds. The genetic distance, principal coordinate analysis, and the structure analysis showed that two of the studied breeds—Local Stara Zagora/SZ/ and Local Karnobat/MK/—were the most distinct sheep populations. The Bayesian clustering approach suggested poor breed differentiation for the remaining 10 sheep breeds. The results suggest that proper management strategies and specific breeding policies need to be implemented in Bulgaria to avoid the intermixing of breeds and to reduce the erosion of breed purity observed in some breeds.

Funder

Bulgarian Ministry of Education and Science

European Union

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

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