论文标题
结合结合的分支过程，以模拟随机系统发育网络
A branching process with coalescence to model random phylogenetic networks
论文作者
论文摘要
我们引入了一种在生物学上自然的，数学上可随机的系统发育网络模型，以描述存在杂交的进化。该模型的特征之一是谱系的杂交速率与其系统发育距离负相关。我们给出了生物学兴趣数量的公式 /特征，使它们在实践中直接计算。我们表明，适当重新缩放的网络（被视为度量空间）收敛到布朗连续树，并且统一根系的网络具有局部弱极限，我们明确地描述了该网络。
We introduce a biologically natural, mathematically tractable model of random phylogenetic network to describe evolution in the presence of hybridization. One of the features of this model is that the hybridization rate of the lineages correlates negatively with their phylogenetic distance. We give formulas / characterizations for quantities of biological interest that make them straightforward to compute in practice. We show that the appropriately rescaled network, seen as a metric space, converges to the Brownian continuum random tree, and that the uniformly rooted network has a local weak limit, which we describe explicitly.
