Nuclear microsatellite data for 230 sheep, ewes and rams, from three breeds, Bardoka, Karakachan sheep and Ile-de-France from Serbia
收藏DataCite Commons2025-05-01 更新2025-05-07 收录
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https://figshare.com/articles/dataset/Nuclear_microsatellite_data_for_230_sheep_ewes_and_rams_from_three_breeds_Bardoka_Karakachan_sheep_and_Ile-de-France_from_Serbia/28330118/1
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The dataset was generated and used in the publication entitled: "Towards genetically informed conservation of the Bardoka and Karakachan sheep breeds autochthonous to Serbia". We use 14 nuclear microsatellites recommended by the International Society for Animal Genetics (ISAG) and Food and Agriculture Organization of the United Nations (FAO UN) for sheep genotyping to analyze 230 animals, ewes and rams, belonging to two autochthonous breeds, Bardoka and Karakachan sheep from Serbia, and one commercial breed, Ile-de-France, used as an outgroup. We We take advantage of genetic data to assess inbreeding values of individuals (I) and pairwise relatedness (r) traditionally inferred from the pedigree data which, however, are incomplete in studied autochthonous breeds, and use these data to assemble a data set of unrelated individuals for subsequent genetic analyses to assess levels of genetic diversity and genetic structure in autochthonous breeds. We use genetic data to set the grounds for the implementation of the genetically informed conservation of Bardoka and Karakachan sheep in Serbia..
本数据集生成并应用于题为《迈向塞尔维亚本土Bardoka与Karakachan绵羊品种的遗传知情保护》的出版物。研究采用国际动物遗传学会(International Society for Animal Genetics, ISAG)与联合国粮食及农业组织(Food and Agriculture Organization of the United Nations, FAO UN)推荐的14个核微卫星(nuclear microsatellites)标记进行绵羊基因分型(genotyping),对230只动物展开分析——包括塞尔维亚本土Bardoka、Karakachan两个品种的母羊与公羊,以及作为外群(outgroup)的商业品种Ile-de-France。我们利用遗传数据评估个体近交值(inbreeding values, I)与成对亲缘关系(pairwise relatedness, r);此类指标传统上通过系谱数据(pedigree data)推断,但本研究中本土品种的系谱数据存在缺失。基于上述分析,我们构建无亲缘关系个体的数据集,用于后续遗传分析以评估本土品种的遗传多样性水平与遗传结构。最终,本研究借助遗传数据为塞尔维亚Bardoka与Karakachan绵羊的遗传知情保护(genetically informed conservation)实施奠定基础。
提供机构:
figshare
创建时间:
2025-02-03



