The genetic characterization of Karayaka sheep breed
Yazarlar (1)
Doç. Dr. Koray KIRIKÇI Kırşehir Ahi Evran Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
| Dergi Adı | |||
| Makale Dili | – | Basım Tarihi | 01-2017 |
| Makale Linki | https://agris.fao.org/search/en/providers/122624/records/64747422425ec3c088f35ac9 | ||
| UAK Araştırma Alanları |
Küçükbaş Hayvan Yetiştirme ve Islahı
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| Özet |
| This thesis study is aimed at investigating the genetic characterization and to determine the genetic relationships between populations in the Karayaka sheep breed, one of the farm animal genetic resources of Turkey, using nine microsatellite markers. Blood samples collected from unrelated 206 head of Karayaka sheep in its breeding tract raised in Samsun, Ordu, Giresun, and Tokat provinces in the Black Sea Region of Turkey were used as study material. The genomic DNA was isolated by using an extraction kit. Microsatellite loci were amplified by Polymerase Chain Reaction (PCR) method, and then a total of 576 Post-PCR products to band quality were chosen from among agarose gel results, and selected samples were genotyped by a DNA fragment analysis instrument. The average number of alleles (Na), allelic richness (Ar), observed heterozygosity (Ho), expected heterozygosity (He), polymorphism information content (PIC), and inbreeding coefficient (FIS) for all populations was estimated respectively as Na= 16, 44, Ar= 9,887, Ho= 0,301, He= 0,817, PIC= 0,866, and FIS= 0,633. The observed and expected heterozygosity ranged from 0,171 (Giresun) to 0.376 (Ordu) and 0,775 (Tokat) to 0,845 (Ordu), respectively. It was determined that 10, 5% of the total genetic variation (FIT= 66, 7%) in Karayaka sheep corresponded to genetic differences among populations (FST)(P< 0, 05), whereas the genetic difference explained 63.0% among individuals (FIS). The FIS values that were calculated at population level ranged from 0,568 (Samsun) to 0,791 (Giresun), and they were all significant (P< 0,001). For this reason, populations were not in the … |
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