Steinrücken Matthias, Birkner Matthias, Blath Jochen
Department of Statistics, University of California, 367 Evans Hall MC 3860, Berkeley, CA 94720-3860, USA.
Theor Popul Biol. 2013 Aug;87:15-24. doi: 10.1016/j.tpb.2013.01.007. Epub 2013 Jan 31.
We apply recently developed inference methods based on general coalescent processes to DNA sequence data obtained from various marine species. Several of these species are believed to exhibit so-called shallow gene genealogies, potentially due to extreme reproductive behaviour, e.g. via Hedgecock's "reproduction sweepstakes". Besides the data analysis, in particular the inference of mutation rates and the estimation of the (real) time to the most recent common ancestor, we briefly address the question whether the genealogies might be adequately described by so-called Beta-coalescents (as opposed to Kingman's coalescent), allowing multiple mergers of genealogies. The choice of the underlying coalescent model for the genealogy has drastic implications for the estimation of the above quantities, in particular the real-time embedding of the genealogy.
我们将基于一般合并过程的最新推断方法应用于从各种海洋物种获得的DNA序列数据。据信,其中一些物种表现出所谓的浅基因谱系,这可能是由于极端的繁殖行为,例如通过赫奇科克的“繁殖抽奖”。除了数据分析,特别是突变率的推断和最近共同祖先的(实际)时间估计,我们还简要讨论了一个问题,即谱系是否可以用所谓的贝塔合并(与金曼合并相对)来充分描述,贝塔合并允许谱系的多次合并。谱系的基础合并模型的选择对上述数量的估计有重大影响,特别是谱系的实时嵌入。