EMBRAPA Recursos Genéticos e Biotecnologia, Laboratório de Genética Animal, Parque Estação Biológica, Brasília, DF 70770-917, Brazil.
J Hered. 2011 Nov-Dec;102(6):697-704. doi: 10.1093/jhered/esr101.
Microsatellites are commonly used to understand genetic diversity among livestock populations. Nevertheless, most studies have involved the processing of samples in one laboratory or with common standards across laboratories. Our objective was to identify an approach to facilitate the merger of microsatellite data for cross-country comparison of genetic resources when samples were not evaluated in a single laboratory. Eleven microsatellites were included in the analysis of 13 US and 9 Brazilian sheep breeds (N = 706). A Bayesian approach was selected and evaluated with and without a shared set of samples analyzed by each country. All markers had a posterior probability of greater than 0.5, which was higher than predicted as reasonable by the software used. Sensitivity analysis indicated no difference between results with or without shared samples. Cluster analysis showed breeds to be partitioned by functional groups of hair, meat, or wool types (K = 7 and 12 of STRUCTURE). Cross-country comparison of hair breeds indicated substantial genetic distances and within breed variability. The selected approach can facilitate the merger and analysis of microsatellite data for cross-country comparison and extend the utility of previously collected molecular markers. In addition, the result of this type of analysis can be used in new and existing conservation programs.
微卫星通常用于了解牲畜种群的遗传多样性。然而，大多数研究都涉及在一个实验室或使用实验室间通用标准处理样本。我们的目的是在未在单个实验室中评估样本的情况下，确定一种方法，以便于合并微卫星数据，从而实现跨国遗传资源比较。对来自美国的 13 个和巴西的 9 个绵羊品种（N = 706）进行了 11 个微卫星的分析。选择了贝叶斯方法，并评估了是否有一个由各国共同分析的共享样本集。所有标记的后验概率都大于 0.5，这高于软件预测的合理概率。敏感性分析表明，有无共享样本的结果没有差异。聚类分析表明，不同品种根据毛、肉或羊毛类型的功能群进行了划分（STRUCTURE 的 K = 7 和 12）。对毛用品种的跨国比较表明，遗传距离和品种内变异性都很大。所选择的方法可以促进跨国比较的微卫星数据的合并和分析，并扩展以前收集的分子标记的用途。此外，这种类型的分析结果可以用于新的和现有的保护计划。
