Aylin Demiray, Zühal Gündüz, Nezih Ata, Onur Yılmaz, İbrahim Cemal, Aynur Konyalı, Zeynep Semen, Arif Altuntaş, Ali Atik, Ahmet Akçay, Hüseyin Baş, Hasan Hüseyin Şenyüz
{"title":"Genetic diversity and population structure of Anatolian Hair goats, an ancient breed.","authors":"Aylin Demiray, Zühal Gündüz, Nezih Ata, Onur Yılmaz, İbrahim Cemal, Aynur Konyalı, Zeynep Semen, Arif Altuntaş, Ali Atik, Ahmet Akçay, Hüseyin Baş, Hasan Hüseyin Şenyüz","doi":"10.5194/aab-67-13-2024","DOIUrl":null,"url":null,"abstract":"<p><p>This study aimed to investigate the genetic characterization and diversity of Hair goats from 10 regions using 20 microsatellite markers. A total of 522 alleles were observed. The INRA0023 locus exhibited the greatest number of alleles (48), while the DRBP1 locus had the highest effective allele number (16.27), and the BM1818 and DRBP1 loci had the highest polymorphic information content value (0.94). The expected heterozygosity value ranged from 0.85 (ILSTS011) to 0.94 (BM1818, SRCRSP15, and DRBP1). The Hair goat populations in Konya and Hatay displayed the lowest and highest allele numbers, with values of 10.40 and 16.25, respectively. The fixation index ( <math> <mrow><msub><mi>F</mi> <mi>IS</mi></msub> </mrow> </math> ) values are significant in defining population structures and determining the extent of heterozygosity losses. The <math> <mrow><msub><mi>F</mi> <mi>IS</mi></msub> </mrow> </math> values exhibited a range of 0.031 in Muǧla to 0.226 in Burdur. A total of 107 unique alleles were identified in Hair goat populations. However, it is noteworthy that, out of all the alleles, only 25 had a frequency exceeding 5 %. The results indicate that the microsatellite markers utilized demonstrate sufficient levels of polymorphism, making them appropriate for efficiently investigating the genetic variability of Hair goat populations.</p>","PeriodicalId":55481,"journal":{"name":"Archiv Fur Tierzucht-Archives of Animal Breeding","volume":"67 1","pages":"13-23"},"PeriodicalIF":1.6000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12051132/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archiv Fur Tierzucht-Archives of Animal Breeding","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.5194/aab-67-13-2024","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study aimed to investigate the genetic characterization and diversity of Hair goats from 10 regions using 20 microsatellite markers. A total of 522 alleles were observed. The INRA0023 locus exhibited the greatest number of alleles (48), while the DRBP1 locus had the highest effective allele number (16.27), and the BM1818 and DRBP1 loci had the highest polymorphic information content value (0.94). The expected heterozygosity value ranged from 0.85 (ILSTS011) to 0.94 (BM1818, SRCRSP15, and DRBP1). The Hair goat populations in Konya and Hatay displayed the lowest and highest allele numbers, with values of 10.40 and 16.25, respectively. The fixation index ( ) values are significant in defining population structures and determining the extent of heterozygosity losses. The values exhibited a range of 0.031 in Muǧla to 0.226 in Burdur. A total of 107 unique alleles were identified in Hair goat populations. However, it is noteworthy that, out of all the alleles, only 25 had a frequency exceeding 5 %. The results indicate that the microsatellite markers utilized demonstrate sufficient levels of polymorphism, making them appropriate for efficiently investigating the genetic variability of Hair goat populations.
期刊介绍:
Archives Animal Breeding is an open-access journal publishing original research papers, short communications, brief reports, and reviews by international researchers on scientific progress in farm-animal biology. The journal includes publications in quantitative and molecular genetics, genetic diversity, animal husbandry and welfare, physiology, and reproduction of livestock. It addresses researchers, teachers, stakeholders of academic and educational institutions, as well as industrial and governmental organizations in the field of animal production.