Phylogenetic networks generalize phylogenetic trees in order to model reticulation events. Although the comparison of phylogenetic trees is well studied, and there are multiple ways to do it in an efficient way, the situation is much different for phylogenetic networks. Some classes of phylogenetic networks, mainly tree-child networks, are known to be classified efficiently by their $\mu$-representation, which essentially counts, for every node, the number of paths to each leaf. In this paper, we introduce the extended $\mu$-representation of networks, where the number of paths to reticulations is also taken into account. This modification allows us to distinguish orchard networks and to define a sound metric on the space of such networks that can, moreover, be computed efficiently. The class of orchard networks, as well as being one of the classes with biological significance (one such network can be interpreted as a tree with extra arcs involving coexisting organisms), is one of the most generic ones (in mathematical terms) for which such a representation can (conjecturally) exist, since a slight relaxation of the definition leads to a problem that is Graph Isomorphism Complete.
翻译:尽管对植物基因树的比较研究周密,而且有多种方法可以有效进行,但植物基因网络的情况却大不相同。一些种类的植物基因网络,主要是树木-婴儿网络,据知被以$mu$表示而有效分类,基本上每个节点都算得上每种叶子的路径。在本文中,我们引入了扩大的网络代表值$\mu-mu-代表值,在网络中,再考虑回溯路径的数量。这种修改使我们得以区分果园网络,并界定这类网络空间的正确度量,而且可以有效计算。类植物基因网络,以及具有生物意义的类别之一(其中一种网络可以被解释为树上带有与共存生物有关的额外弧线的树),这是最普通的网络(数学术语)之一,在这些网络中,可以存在这种表达(分辨)路径数。这种修改使我们能够区分各种网络,并界定这些网络的空间的正确度度,此外,可以有效地计算出这些网络的空间。这种分类和果园网络的类别,以及具有生物意义的类别之一(这种网络可以被解释为具有与共存生物有关的额外弧的树),因为一个简单的结构是完整的变化。