BACKGROUND Microsatellite markers are an ideal molecular marker for population genetic studies such as population structure, pedigree, and kinship. The yellow-throated marten (Martes flavigula) is widely distributed in coniferous and deciduous forests of eastern Asia and plays the role of an indicator and umbrella species in South Korea, given the absence of top predators such as tiger and leopard. OBJECTIVE The aim of our study was to establish a core set of microsatellite markers that could be used for a population genetics study on M. flavigula. METHODS We characterized 21 di-motif microsatellites for M. flavigula by Illumina next-generation sequencing. We evaluated them for a population genetics study against five established criteria together with 33 previously developed microsatellites. We calculated relatedness values between individual yellow-throated martens in two groups that were suspected to be siblings using the selected core set of markers to confirm applicability. RESULTS Twenty-three loci were determined as the core set of microsatellite markers. The probability of identity P(ID) and probability of identity between siblings P(ID)sib of the core set was estimated as 2-15 and 2.2-7, respectively. Relatedness values between individuals in the two groups of M. flavigula revealed that one of the pairs was sisters, confirming that the core set can be applied to kinship studies. CONCLUSION The developed microsatellite core set in this study is expected to contribute to studies on molecular ecology and population structure of M. flavigula.

中文翻译：

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黄喉貂（Martes flavigula）的核心微卫星位点集：一个家庭关系推论的案例。

背景技术微卫星标记是用于诸如群体结构，血统和血统的群体遗传研究的理想分子标记。黄喉貂（Martes flavigula）广泛分布于东亚的针叶和落叶林中，由于缺乏老虎和豹子等顶级捕食者，它在韩国起着指示性和伞状物种的作用。目的我们研究的目的是建立一套微卫星标记的核心，该标记可用于黄萎病菌的种群遗传学研究。方法我们通过Illumina新一代测序技术鉴定了21个黄褐毛霉的双基序微卫星。我们根据五个既定标准以及33个先前开发的微卫星，对它们进行了人口遗传学研究评估。我们使用选定的核心标记集计算了两组被怀疑是兄弟姐妹的黄喉貂之间的相关性值，以确认适用性。结果确定了二十三个基因座为微卫星标记的核心。核心集的同一性概率P（ID）和兄弟姐妹之间的同一性概率P（ID）sib分别估计为2-15和2.2-7。两组黄萎病菌中个体之间的相关性值表明，这对成对是姐妹，这证明该核心组可以应用于亲属关系研究。结论本研究中开发的微卫星核心集有望对黄连果的分子生态学和种群结构研究作出贡献。