A vector representation for phylogenetic trees.

IF 4.7 2区 生物学 Q1 BIOLOGY Philosophical Transactions of the Royal Society B: Biological Sciences Pub Date : 2025-02-13 Epub Date: 2025-02-20 DOI:10.1098/rstb.2024.0226
Cedric Chauve, Caroline Colijn, Louxin Zhang
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Abstract

Good representations for phylogenetic trees and networks are important for enhancing storage efficiency and scalability for the inference and analysis of evolutionary trees for genes, genomes and species. We propose a new representation for rooted phylogenetic trees that encodes a tree on [Formula: see text] ordered taxa as a vector of length [Formula: see text] in which each taxon appears exactly twice. Using this new tree representation, we introduce a novel tree rearrangement operator, termed an HOP, that results in a tree space of linear diameter and quadratic neighbourhood size. We also introduce a novel metric, the HOP distance, which is the minimum number of HOPs to transform a tree into another tree. The HOP distance can be computed in near-linear time-a rare instance of tree rearrangement distance that is tractable. Our experiments show that the HOP distance is better correlated to the Subtree-Prune-and-Regraft distance than the widely used Robinson-Foulds distance. We also describe how the proposed tree representation can be further generalized to tree-child networks, showcasing its versatility and potential applications in broader evolutionary analyses.This article is part of the theme issue '"A mathematical theory of evolution": phylogenetic models dating back 100 years'.

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系统发育树的向量表示。
良好的系统发育树和网络表示对于提高存储效率和可扩展性对于基因、基因组和物种进化树的推理和分析是非常重要的。我们提出了一种新的根系统发育树表示方法,将[公式:见文]有序分类群上的树编码为长度向量[公式:见文],其中每个分类群恰好出现两次。利用这种新的树表示,我们引入了一种新的树重排算子,称为HOP,它产生线性直径和二次邻域大小的树空间。我们还引入了一个新的度量,即HOP距离,它是将一棵树转换为另一棵树所需的最小HOP数。HOP距离可以在近线性时间内计算-这是树重排距离的罕见实例,是可处理的。实验表明,相对于广泛使用的Robinson-Foulds距离,HOP距离与Subtree-Prune-and-Regraft距离具有更好的相关性。我们还描述了所提出的树表示如何进一步推广到树子网络,展示了它的通用性和在更广泛的进化分析中的潜在应用。这篇文章是主题“进化的数学理论”的一部分:追溯到100年前的系统发育模型。
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CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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