Beyond level-1: Identifiability of a class of galled tree-child networks

Fuente: arXiv
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Main Authors: Allman, Elizabeth S., Ane, Cecile, Banos, Hector, Rhodes, John A.
Format: Preprint
Published: 2025
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_version_ 1866909597548150784
author Allman, Elizabeth S.
Ane, Cecile
Banos, Hector
Rhodes, John A.
author_facet Allman, Elizabeth S.
Ane, Cecile
Banos, Hector
Rhodes, John A.
contents Inference of phylogenetic networks is of increasing interest in the genomic era. However, the extent to which phylogenetic networks are identifiable from various types of data remains poorly understood, despite its crucial role in justifying methods. This work obtains strong identifiability results for large sub-classes of galled tree-child semidirected networks. Some of the conditions our proofs require, such as the identifiability of a network's tree of blobs or the circular order of 4 taxa around a cycle in a level-1 network, are already known to hold for many data types. We show that all these conditions hold for quartet concordance factor data under various gene tree models, yielding the strongest results from 2 or more samples per taxon. Although the network classes we consider have topological restrictions, they include non-planar networks of any level and are substantially more general than level-1 networks -- the only class previously known to enjoy identifiability from many data types. Our work establishes a route for proving future identifiability results for tree-child galled networks from data types other than quartet concordance factors, by checking that explicit conditions are met.
format Preprint
id arxiv_https___arxiv_org_abs_2504_21116
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Beyond level-1: Identifiability of a class of galled tree-child networks
Allman, Elizabeth S.
Ane, Cecile
Banos, Hector
Rhodes, John A.
Populations and Evolution
92D15, 05C90, 62B99
Inference of phylogenetic networks is of increasing interest in the genomic era. However, the extent to which phylogenetic networks are identifiable from various types of data remains poorly understood, despite its crucial role in justifying methods. This work obtains strong identifiability results for large sub-classes of galled tree-child semidirected networks. Some of the conditions our proofs require, such as the identifiability of a network's tree of blobs or the circular order of 4 taxa around a cycle in a level-1 network, are already known to hold for many data types. We show that all these conditions hold for quartet concordance factor data under various gene tree models, yielding the strongest results from 2 or more samples per taxon. Although the network classes we consider have topological restrictions, they include non-planar networks of any level and are substantially more general than level-1 networks -- the only class previously known to enjoy identifiability from many data types. Our work establishes a route for proving future identifiability results for tree-child galled networks from data types other than quartet concordance factors, by checking that explicit conditions are met.
title Beyond level-1: Identifiability of a class of galled tree-child networks
topic Populations and Evolution
92D15, 05C90, 62B99
url https://arxiv.org/abs/2504.21116