Linder C Randal, Rieseberg Loren H
Section of Integrative Biology and the Center for Computational Biology and Bioinformatics, University of Texas-Austin, 1 University Station-A6700, Austin, Texas 78712 USA.
Am J Bot. 2004 Oct;91:1700-1708.
Until recently, rigorously reconstructing the many hybrid speciation events in plants has not been practical because of the limited number of molecular markers available for plant phylogenetic reconstruction and the lack of good, biologically based methods for inferring reticulation (network) events. This situation should change rapidly with the development of multiple nuclear markers for phylogenetic reconstruction and new methods for reconstructing reticulate evolution. These developments will necessitate a much greater incorporation of population genetics into phylogenetic reconstruction than has been common. Population genetic events such as gene duplication coupled with lineage sorting and meiotic and sexual recombination have always had the potential to affect phylogenetic inference. For tree reconstruction, these problems are usually minimized by using uniparental markers and nuclear markers that undergo rapid concerted evolution. Because reconstruction of reticulate speciation events will require nuclear markers that lack these characteristics, effects of population genetics on phylogenetic inference will need to be addressed directly. Current models and methods that allow hybrid speciation to be detected and reconstructed are discussed, with a focus on how lineage sorting and meiotic and sexual recombination affect network reconstruction. Approaches that would allow inference of phylogenetic networks in their presence are suggested.
直到最近,由于可用于植物系统发育重建的分子标记数量有限,且缺乏基于生物学的推断网状(网络)事件的良好方法,对植物中众多杂交物种形成事件进行严格重建一直不切实际。随着用于系统发育重建的多个核标记的发展以及重建网状进化的新方法的出现,这种情况应该会迅速改变。这些进展将使系统发育重建比以往更广泛地纳入群体遗传学。诸如基因复制与谱系分选以及减数分裂和有性重组等群体遗传事件一直有可能影响系统发育推断。对于树的重建,这些问题通常通过使用单亲标记和经历快速协同进化的核标记来最小化。由于网状物种形成事件的重建将需要缺乏这些特征的核标记,因此群体遗传学对系统发育推断的影响需要直接解决。本文讨论了当前允许检测和重建杂交物种形成的模型和方法,重点关注谱系分选以及减数分裂和有性重组如何影响网络重建。还提出了在存在这些情况时推断系统发育网络的方法。