This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1093/evlett/qrae022. This is version 1 of this Preprint.
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Abstract
Evolution proceeds unevenly across the tree of life, with some lineages accumulating diversity more rapidly than others. Explaining this disparity is challenging as similar evolutionary triggers often do not result in analogous shifts across the tree, and similar shifts may reflect different evolutionary triggers. We used a combination of approaches to directly consider such context-dependency and untangle the complex network of processes that shape macroevolutionary dynamics, focusing on Pleurodonta, a diverse radiation of lizards. Our framework shows that some lineage-wide signatures are lost when conditioned on sub-lineages: viviparity appears to accelerate diversification but its effect size is overestimated by its association with the Andean mountains. Conversely, some signals that erode at broader phylogenetic scales emerge at shallower ones. Mountains in general do not affect speciation rates; rather, the occurrence in the Andean mountains specifically promotes diversification. Likewise, the evolution of larger sizes catalyzes diversification rates, but only within certain ecological and geographical settings. We caution that conventional methods of fitting models to entire trees may mistakenly assign diversification heterogeneity to specific factors despite evidence against their plausibility. Our study takes a significant stride toward disentangling confounding factors and identifying plausible sources of ecological opportunities in the diversification of large evolutionary radiations.
DOI
https://doi.org/10.32942/X2CS4G
Subjects
Biodiversity, Ecology and Evolutionary Biology, Life Sciences
Keywords
viviparity, Andes, Body size, reptiles, Diversification., Andes, body size, reptiles, Diversification
Dates
Published: 2024-01-18 14:53
License
CC-BY Attribution-NonCommercial 4.0 International
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Language:
English
Data and Code Availability Statement:
All data used in this study were gathered from publicly available databases and the sources are provided in the Methods section. Codes written for this project will be available on GitHub https://github.com/Munoz-Lab upon acceptance.
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