Inferring the evolutionary history of the Sino-Himalayan biodiversity hotspot using Bayesian phylodynamics

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1144/SP549-2023-174. This is version 2 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Bethany Allen , Timothy Vaughan, Louis du Plessis, Thomas Schouten, Zili Yuan, Sean Willett, Tanja Stadler

Abstract

The current status of the Sino-Himalayan region as a biodiversity hotspot, particularly for flora, has often been linked to the uplift of the Sino-Tibetan Plateau and Himalayan and Hengduan Mountains. However, the relationship between the topological development of the region and the onset of diversification is yet to be confirmed. Here, we apply Bayesian phylodynamic methods to a large phylogeny of angiosperm species from the Sino-Himalayas, to infer changes in their evolutionary rates through time. We find strong evidence for high diversification rates in the Paleocene, late Miocene and Pliocene, and for negative diversification rates in the Quaternary, driven by an increase in extinction rates. Our analyses suggest that changes in global palaeotemperatures are unlikely to be a driving force for these rate shifts. Instead, recovery after the end-Cretaceous mass extinction, the collision of the Indian continent with Eurasia and coeval topographic change in the Sino-Himalayans, and the impact of Pleistocene glaciations on this altitudinally-variable region may shape these rates. We also demonstrate the strong influence of change time choice on piecewise-constant trajectories in Bayesian phylodynamics, and advocate for the use of prior information when making this decision.

DOI

https://doi.org/10.32942/X2DK6G

Subjects

Biodiversity, Ecology and Evolutionary Biology, Evolution

Keywords

Dates

Published: 2023-10-14 20:10

Last Updated: 2024-04-25 07:25

Older Versions
License

CC BY Attribution 4.0 International

Additional Metadata

Language:
English

Data and Code Availability Statement:
Open data/code are not available