Original Research ARTICLE
Selective Sampling of Species and Fossils Influences Age Estimates Under the Fossilized Birth-Death Model
- 1University of Zurich, Switzerland
The fossilized birth-death (FBD) model allows the estimation of species divergence times from molecular and fossil information in a coherent framework of diversification and fossil sampling. Some assumptions of the FBD model, however, are difficult to meet in phylogenetic analyses of highly diverse groups. Here, I assess the impact of extreme model violations, including diversified sampling of species and the exclusive use of oldest fossils per clade, on divergence times estimated with the FBD model. Based on simulated datasets, my results demonstrate that these model violations can produce dramatically overestimated divergence times when the FBD model is used for inference. In contrast, divergence times estimated with CladeAge, a method that uses information about the oldest fossils per clade together with estimates of sampling and diversification rates, are accurate under these conditions. Practitioners of Bayesian divergence-time estimation should therefore ensure that the dataset conforms to the expectations of the FBD model or estimates of sampling and diversification rates should be obtained a priori so that CladeAge can be used for the inference.
Keywords: phylogeny, Bayesian inference, Divergence-time estimation, fossil, Diversified sampling, BEAST 2, Fossilized birth-death, CladeAge
Received: 06 Jun 2019;
Accepted: 03 Oct 2019.
Copyright: © 2019 Matschiner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mx. Michael Matschiner, University of Zurich, Zürich, Switzerland, email@example.com