The troubled growth of statistical phylogenetics
The troubled growth of statistical phylogenetics
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DOI：
10.1080/10635150119297
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发表时间：
2001-08-01
影响因子：
6.5
通讯作者：
Felsenstein, J
中科院分区：
文献类型：
--
作者：
Felsenstein, J
统计学上的遗传推断几乎没有发生。“统计遗传学”的起源、发展和传播的故事需要被讲述，因为它太奇怪了。这并不是人们想象的那种简单的逐渐传播的故事。它从系统学中数值方法的发展开始，其现代支持者是索卡尔和索卡尔。他们的著作《数值分类学原理》（Principles of Numerical Taxonomy）引发了数学聚类者的工作爆炸，但并没有赢得系统学的许多皈依者。在20世纪60年代初，有两个小组开始了对遗传学的数值推断的研究。爱德华兹和卡瓦利-斯福尔扎在研究人类种群树和利用基因频率时，发明了简约法和距离平均法。为了在这两种方法中做出选择，他们转向了最大似然法，这被证明是不同于这两种方法的。大约在同一时间，卡明和索卡尔开始在离散字符上使用简约性，部分原因是为了证明它是多么不准确。他们在1965年发表的论文《进化论》引起了广泛的注意。它详细讨论了他们在树空间中搜索最简约树的方法。
Statistical inference of phylogenies almost didn't happen. The story of the origin, growth, and spread of" statistical phylogenetics" needs to be told, because it is so strange. It is not the straightforward story of gradual spread that one might imagine. It starts with the development of numerical methods in systematics, whose modem proponents were Sokal and Sneath. Their work, embodied in their book Principles of Numerical Taxonomy, set off an explosion of work by mathematical clusterers, but did not win many converts in systematics. In the early 1960s two groups started work on numerical inference of phylogenies. Edwards and Cavalli-Sforza, working on trees of human populations and using gene frequencies, invented parsimony and distance ma-trix methods. In an attempt to choose be-tween these two approaches, they turned to maximum likelihood, which proved to be different from both of the methods. At about the same time, Camin and Sokal began using parsimony on discrete characters, partly to prove how inaccurate it would be. Their pa-per in Evolution in 1965 was widely noticed. It contained detailed discussions of their meth-ods of searching in tree space for the mostparsimonious tree.