Use of microsatellite loci to classify individuals by relatedness
Use of microsatellite loci to classify individuals by relatedness
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DOI：
10.1111/j.1365-294x.1996.tb00329.x
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发表时间：
1996-06-01
影响因子：
4.9
通讯作者：
Lotz, S
中科院分区：
文献类型：
--
作者：
Blouin, MS;Parsons, M;Lotz, S
本研究探讨利用微卫星基因座评估野生、远交脊椎动物种群中个体间的亲缘关系。我们在一群野生小鼠(Mus Musculus)中测量了20个非连锁的二核苷酸重复微卫星基因座的等位基因频率，并使用这些观察到的频率来产生预期的全同胞、半同胞和不相关的个体对之间的成对关联分布，这将从微卫星数据中估计出来。在这个群体中，一个人应该能够以至少97%的准确率区分不相关的和全同胞二元组，并且以超过80%的准确率区分半同胞对和不相关的对或全同胞对。如果采用亲子对每个座位必须至少共享一个等位基因的标准，则该群体中只有15%的全同胞对、2%的半同胞对和0%的无关对符合条件成为潜在的亲子对。我们验证了模拟结果(假设Hardy-Weinberg中的随机交配群体和连锁平衡)准确地预测了一个人在现实生活中将从这个群体中获得的结果，方法是从研究群体中对父母是野生鼠的实验室饲养的全同胞和半同胞家庭进行评分。我们还研究了使用不同数量的基因座，或不同平均杂合度(He)的基因座对错误分类频率的影响。这两个变量对错分率都有很大的影响。例如，它需要几乎两倍多的He=0.62的轨迹才能达到与给定数量的He=0.75轨迹相同的精度。最后，我们测试了UPGMA聚类法识别我们人口中的家庭群体的能力。对四组独立的母系同父异母的后代(四组女性，每组与两个不同的男性交配)的等位基因匹配分数进行聚类，完美地恢复了真正的家庭关系。
This study investigates the use of microsatellite loci for estimating relatedness between individuals in wild, outbred, vertebrate populations. We measured allele frequencies at 20 unlinked, dinucleotide-repeat microsatellite loci in a population of wild mice (Mus musculus), and used these observed frequencies to generate the expected distributions of pairwise relatedness among full sib, half sib, and unrelated pairs of individuals, as would be estimated from the microsatellite data. In this population one should be able to discriminate between unrelated and full-sib dyads with at least 97% accuracy, and to discriminate half-sib pairs from unrelated pairs or from full-sib pairs with better than 80% accuracy. If one uses the criterion that parent-offspring pairs must share at least one allele per locus, then only 15% of full-sib pairs, 2% of half-sib pairs, and 0% of unrelated pairs in this population would qualify as potential parent-offspring pairs. We verified that the simulation results (which assume a random mating population in Hardy-Weinberg and linkage equilibrium) accurately predict results one would obtain from this population in real life by scoring laboratory-bred full- and half-sib families whose parents were wild-caught mice from the study population. We also investigated the effects of using different numbers of loci, or loci of different average heterozygosities (He), on misclassification frequencies. Both variables have strong effects on misclassification rate. For example, it requires almost twice as many loci of He = 0.62 to achieve the same accuracy as a given number of loci of HE = 0.75. Finally, we tested the ability of UPGMA clustering to identify family groups in our population. Clustering of allele matching scores among the offspring of four sets of independent maternal half sibships (four females, each mated to two different males) perfectly recovered the true family relationships.