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系统发育网络上的系统发育多样性和生物多样性指数。

Phylogenetic diversity and biodiversity indices on phylogenetic networks.

机构信息

Institute of Mathematics and Computer Science, University of Greifswald, Germany.

出版信息

Math Biosci. 2018 Apr;298:80-90. doi: 10.1016/j.mbs.2018.02.005. Epub 2018 Feb 19.

Abstract

In biodiversity conservation it is often necessary to prioritize the species to conserve. Existing approaches to prioritization, e.g. the Fair Proportion Index and the Shapley Value, are based on phylogenetic trees and rank species according to their contribution to overall phylogenetic diversity. However, in many cases evolution is not treelike and thus, phylogenetic networks have been developed as a generalization of phylogenetic trees, allowing for the representation of non-treelike evolutionary events, such as hybridization. Here, we extend the concepts of phylogenetic diversity and phylogenetic diversity indices from phylogenetic trees to phylogenetic networks. On the one hand, we consider the treelike content of a phylogenetic network, e.g. the (multi)set of phylogenetic trees displayed by a network and the so-called lowest stable ancestor tree associated with it. On the other hand, we derive the phylogenetic diversity of subsets of taxa and biodiversity indices directly from the internal structure of the network. We consider both approaches that are independent of so-called inheritance probabilities as well as approaches that explicitly incorporate these probabilities. Furthermore, we introduce our software package NetDiversity, which is implemented in Perl and allows for the calculation of all generalized measures of phylogenetic diversity and generalized phylogenetic diversity indices established in this note that are independent of inheritance probabilities. We apply our methods to a phylogenetic network representing the evolutionary relationships among swordtails and platyfishes (Xiphophorus: Poeciliidae), a group of species characterized by widespread hybridization.

摘要

在生物多样性保护中,通常需要确定优先保护的物种。现有的优先排序方法,例如公平比例指数和 Shapley 值,都是基于系统发育树,根据物种对总体系统发育多样性的贡献来对其进行排序。然而,在许多情况下,进化不是树状的,因此,已经开发出系统发育网络作为系统发育树的推广,允许表示非树状进化事件,例如杂交。在这里,我们将系统发育多样性和系统发育多样性指数的概念从系统发育树扩展到系统发育网络。一方面,我们考虑系统发育网络的树状内容,例如网络显示的系统发育树(多个)集合以及与之相关的所谓最低稳定祖先树。另一方面,我们直接从网络的内部结构推导出分类单元子集的系统发育多样性和生物多样性指数。我们同时考虑了独立于所谓遗传概率的方法以及明确包含这些概率的方法。此外,我们引入了我们的软件包 NetDiversity,它是用 Perl 实现的,允许计算本说明中建立的所有独立于遗传概率的广义系统发育多样性度量和广义系统发育多样性指数。我们将我们的方法应用于代表剑尾鱼和脂鲤(Xiphophorus:脂鲤科)进化关系的系统发育网络,这是一个以广泛杂交为特征的物种群。

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