Jones Adam G, Ardren William R
School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA.
Mol Ecol. 2003 Oct;12(10):2511-23. doi: 10.1046/j.1365-294x.2003.01928.x.
The recent proliferation of hypervariable molecular markers has ushered in a surge of techniques for the analysis of parentage in natural and experimental populations. Consequently, the potential for meaningful studies of paternity and maternity is at an all-time high. However, the details and implementation of the multifarious techniques often differ in subtle ways that can influence the results of parentage analyses. Now is a good time to reflect on the available techniques and to consider their strengths and weaknesses. Here, we review the leading techniques in parentage analysis, with a particular emphasis on those that have been implemented in readily useable software packages. Our survey leads to some important insights with respect to the utility of the different approaches. This review should serve as a useful guide to anyone who wishes to embark on the study of parentage.
近期高变分子标记的激增带来了一系列用于分析自然种群和实验种群亲子关系的技术。因此，进行有意义的父系和母系研究的潜力达到了前所未有的高度。然而，各种技术的细节和实施方式往往存在细微差异，这些差异可能会影响亲子关系分析的结果。现在是时候反思现有的技术，并考虑它们的优缺点了。在这里，我们回顾了亲子关系分析中的主要技术，特别强调那些已在易于使用的软件包中实现的技术。我们的调查得出了一些关于不同方法实用性的重要见解。这篇综述对于任何希望开展亲子关系研究的人都应是一份有用的指南。
