Morphological data, phylogenomics and recalcitrant nodes

In this paper we examine the relative contribution of information to nodes in a phylogenomic analysis combined with morphological datasets. We examine the behaviour of branch support metrics using the partitioned Bremer support (PBS) and its likelihood counterpart partitioned likelihood support (PLS). These metrics measure the contribution of a data partition to a node in question, and can be easily computed for likelihood and parsimony. Specifically, we assess the ratios of support values for morphological data to molecular data at this recalcitrant node. We find that there is a strong linear correlation between this ratio with the weight of the weaker partition where a flip (the flip weight) in topology ensues. This linear relationship allows us to estimate the amount of morphological data it will take to flip a phylogenomic hypothesis. For the datasets we use in this study flip weights are surprisingly small.

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Publication Details

Journal
Cladistics
Published
2025-04-22
DOI
https://doi.org/10.1111/cla.12615
Primary Topic
Genetic diversity and population structure
Type
article
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article

Morphological data, phylogenomics and recalcitrant nodes

Rob DeSalle, Michael Tessler
Cladistics
Genetic diversity and population structure
article

Morphological data, phylogenomics and recalcitrant nodes

Rob DeSalle, Michael Tessler
article en

Abstract

In this paper we examine the relative contribution of information to nodes in a phylogenomic analysis combined with morphological datasets. We examine the behaviour of branch support metrics using the partitioned Bremer support (PBS) and its likelihood counterpart partitioned likelihood support (PLS). These metrics measure the contribution of a data partition to a node in question, and can be easily computed for likelihood and parsimony. Specifically, we assess the ratios of support values for morphological data to molecular data at this recalcitrant node. We find that there is a strong linear correlation between this ratio with the weight of the weaker partition where a flip (the flip weight) in topology ensues. This linear relationship allows us to estimate the amount of morphological data it will take to flip a phylogenomic hypothesis. For the datasets we use in this study flip weights are surprisingly small.

CladisticsVol. 41(4)
American Museum of Natural History (US), Medgar Evers College (US)
Openalex Percentile: Top 90%
Genetic diversity and population structure
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