Abstract: To analyze the genetic structure of outbred populations of small Beagle dogs from variant locations using the selected microsatellite loci, and evaluate if these markers are suitable for genetic detection of the outbred Beagle dog. Method A total of 20 microsatellite markers that has been verified were used to amplifying and STR scanning the sample from 3 companies ( Xi’ an, Beijing and Jiangsu) outbred populations of small beagle dogs by optimized PCR conditions. After genotyping, the genetic indexes were calculated and genetic population structure were analyzed. Result The number of average effective allele of Xi’ an, Beijing and Jiangsu outbred populations of small beagle dogs exhibited with 5. 45, 6. 80, 6. 10, respectively; average heterozygosity was 0. 585 2, 0. 653 8, 0. 663 1, respectively, Shannon’ s information index was 1. 177 4, 1. 384 4, 1. 349 8 and PIC was 0. 539 7, 0. 614 7, 0. 618 1, respectively. It showed that 3 examined population displayed high and abundant genetic population polymorphism and high genetic diversity. The 20 microsatellite loci we used could reflect the general genetic polymorphism character of each population, as well as its unique feature. Conclusion Three outbred populations of small beagle dogs harbor comparably high polymorphism and match the demand of outbred population animal. The set of 20 microsatellite loci we optimized could be adapted for genetically monitoring outbred Beagle dogs.

Key words: :Beagle dogs, microsatellite DNA, population genetic structure, genetic information, genetic detection

摘要： 采用比格犬微卫星位点对多地小型比格犬群体进行遗传检测和群体结构分析,并评价所选位点是否 适用于封闭群比格犬遗传质量控制。 方法 选取前期验证的微卫星位点 20 个,采用其已优化的 PCR 条件,对来自 3 个公司(西安、北京和江苏)的小型比格犬群体进行 PCR 扩增和 STR 扫描,经基因分型后计算群体遗传参数并进 行群体遗传结构分析。 结果 西安、北京和江苏三地小型比格犬群体在 20 个微卫星位点的平均有效等位基因数 分别为 5. 45、6. 80、6. 10,平均杂合度为 0. 585 2、0. 653 8、0. 663 1,香农指数为 1. 177 4、1. 384 4、1. 349 8,多态性信息 含量分别为 0. 539 7、0. 614 7、0. 618 1,说明三群体遗传多态性信息丰富,群体遗传多样性高。 所选 20 个微卫星位 点既能反映群体多态性,又能体现各群体的特征。 结论 3 个比格犬群体的多态性较高,达到了封闭群要求。 所选 20 个微卫星位点比较适合用于比格犬遗传质量检测

关键词: 比格犬, 微卫星 DNA, 群体遗传结构, 遗传信息, 遗传检测