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We show that many topological features of level-1 species networks are identifiable from the distribution of the gene tree quartets under the network multi-species coalescent model. In particular, every cycle of size at least 4 and every…

种群与进化 · 定量生物学 2017-11-30 Hector Baños

Inference of species networks from genomic data under the Network Multispecies Coalescent Model is currently severely limited by heavy computational demands. It also remains unclear how complicated networks can be for consistent inference…

种群与进化 · 定量生物学 2022-05-10 Elizabeth S. Allman , Hector Baños , Jonathan D. Mitchell , John A. Rhodes

When hybridization or other forms of lateral gene transfer have occurred, evolutionary relationships of species are better represented by phylogenetic networks than by trees. While inference of such networks remains challenging, several…

种群与进化 · 定量生物学 2024-01-15 Elizabeth S. Allman , Hector Baños , Marina Garrote-Lopez , John A. Rhodes

In this article we propose a new method, which we name 'quartet neighbor joining', or 'quartet-NJ', to infer an unrooted species tree on a given set of taxa T from empirical distributions of unrooted quartet gene trees on all four-taxon…

种群与进化 · 定量生物学 2011-08-09 Martin Kreidl

Using topological summaries of gene trees as a basis for species tree inference is a promising approach to obtain acceptable speed on genomic-scale datasets, and to avoid some undesirable modeling assumptions. Here we study the…

种群与进化 · 定量生物学 2017-04-17 Elizabeth S. Allman , James H. Degnan , John A. Rhodes

One approach to estimating a species tree from a collection of gene trees is to first estimate probabilities of clades from the gene trees, and then to construct the species tree from the estimated clade probabilities. While a greedy…

种群与进化 · 定量生物学 2012-11-14 Elizabeth S. Allman , James H. Degnan , John A. Rhodes

The multispecies coalescent model describes the generation of gene trees from a rooted metric species tree, and thus provides a framework for the inference of species trees from sampled gene trees. We prove that the STAR method of Liu et…

种群与进化 · 定量生物学 2012-04-20 Elizabeth S. Allman , James H. Degnan , John A. Rhodes

Phylogenetic networks model reticulate evolutionary histories. The last two decades have seen an increased interest in establishing mathematical results and developing computational methods for inferring and analyzing these networks. A…

种群与进化 · 定量生物学 2016-06-24 Jiafan Zhu , Yun Yu , Luay Nakhleh

The $\text{NJ}_{st}$ method was proposed by Liu and Yu to infer a species tree topology from unrooted topological gene trees. While its statistical consistency under the multispecies coalescent model was established only for a 4-taxon tree,…

种群与进化 · 定量生物学 2016-04-20 Elizabeth S. Allman , James H. Degnan , John A. Rhodes

Inference of network-like evolutionary relationships between species from genomic data must address the interwoven signals from both gene flow and incomplete lineage sorting. The heavy computational demands of standard approaches to this…

种群与进化 · 定量生物学 2021-08-05 Elizabeth S. Allman , Hector Baños , John A. Rhodes

The multi-species coalescent provides an elegant theoretical framework for estimating species trees and species demographics from genetic markers. Practical applications of the multi-species coalescent model are, however, limited by the…

种群与进化 · 定量生物学 2011-11-09 David Bryant , Remco Bouckaert , Joseph Felsenstein , Noah Rosenberg , Arindam RoyChoudhury

We consider species tree estimation under a standard stochastic model of gene tree evolution that incorporates incomplete lineage sorting (as modeled by a coalescent process) and gene duplication and loss (as modeled by a branching…

概率论 · 数学 2020-07-15 Max Hill , Brandon Legried , Sebastien Roch

The inference of phylogenetic networks, which model complex evolutionary processes including hybridization and gene flow, remains a central challenge in evolutionary biology. Until now, statistically consistent inference methods have been…

Gene trees are evolutionary trees representing the ancestry of genes sampled from multiple populations. Species trees represent populations of individuals -- each with many genes -- splitting into new populations or species. The coalescent…

种群与进化 · 定量生物学 2010-07-30 Elizabeth S. Allman , James H. Degnan , John A. Rhodes

The reconstruction of a species phylogeny from genomic data faces two significant hurdles: 1) the trees describing the evolution of each individual gene--i.e., the gene trees--may differ from the species phylogeny and 2) the molecular…

机器学习 · 计算机科学 2017-07-17 Gautam Dasarathy , Elchanan Mossel , Robert Nowak , Sebastien Roch

The inference of the evolutionary history of a collection of organisms is a problem of fundamental importance in evolutionary biology. The abundance of DNA sequence data arising from genome sequencing projects has led to significant…

种群与进化 · 定量生物学 2015-07-07 Julia Chifman , Laura Kubatko

The multispecies coalescent process models the genealogical relationships of genes sampled from several species, enabling useful predictions about phenomena such as the discordance between the gene tree and the species phylogeny due to…

种群与进化 · 定量生物学 2020-12-11 Jakub Truszkowski , Celine Scornavacca , Fabio Pardi

The behavior of ecological systems mainly relies on the interactions between the species it involves. We consider the problem of inferring the species interaction network from abundance data. To be relevant, any network inference…

应用统计 · 统计学 2019-10-29 Raphaëlle Momal , Stéphane Robin , Christophe Ambroise

Topological phylogenetic trees can be assigned edge weights in several natural ways, highlighting different aspects of the tree. Here the rooted triple and quartet metrizations are introduced, and applied to formulate novel fast methods of…

种群与进化 · 定量生物学 2019-05-15 John A. Rhodes

An important problem in phylogenetics is the construction of phylogenetic trees. One way to approach this problem, known as the supertree method, involves inferring a phylogenetic tree with leaves consisting of a set $X$ of species from a…

种群与进化 · 定量生物学 2017-11-21 Katharine T. Huber , Vincent Moulton , Charles Semple , Taoyang Wu
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