ArticleSystematic biology2020
A Darwinian Uncertainty Principle.
Article in Systematic biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Resolving competing evolutionary histories in joint ancestral state reconstruction.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Uncertainty in joint Ancestral State Reconstruction: Improving accuracy and biological interpretability of ancestral state prediction.bioRxiv : the preprint server for biology · 2025Article
- NeMu: a comprehensive pipeline for accurate reconstruction of neutral mutation spectra from evolutionary data.Nucleic acids research · 2024Article
- Ancestral state reconstruction with large numbers of sequences and edge-length estimation.Journal of mathematical biology · 2022Article
- On the Use of Phylogeographic Inference to Infer the Dispersal History of Rabies Virus: A Review Study.Viruses · 2021Review
- Inferring the number and position of changes in selective regime in a non-equilibrium mutation-selection framework.BMC ecology and evolution · 2021Article
- Efficient inference, potential, and limitations of site-specific substitution models.Virus evolution · 2020Article
- A Fast Likelihood Method to Reconstruct and Visualize Ancestral Scenarios.Molecular biology and evolution · 2019Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Reconstructing ancestral characters and traits along a phylogenetic tree is central to evolutionary biology. It is the key to understanding morphology changes among species, inferring ancestral biochemical properties of life, or recovering migration routes in phylogeography. The goal is 2-fold: to reconstruct the character state at the tree root (e.g., the region of origin of some species) and to understand the process of state changes along the tree (e.g., species flow between countries). We deal here with discrete characters, which are "unique," as opposed to sequence characters (nucleotides or amino-acids), where we assume the same model for all the characters (or for large classes of characters with site-dependent models) and thus benefit from multiple information sources. In this framework, we use mathematics and simulations to demonstrate that although each goal can be achieved with high accuracy individually, it is generally impossible to accurately estimate both the root state and the rates of state changes along the tree branches, from the observed data at the tips of the tree. This is because the global rates of state changes along the branches that are optimal for the two estimation tasks have opposite trends, leading to a fundamental trade-off in accuracy. This inherent "Darwinian uncertainty principle" concerning the simultaneous estimation of "patterns" and "processes" governs ancestral reconstructions in biology. For certain tree shapes (typically speciation trees) the uncertainty of simultaneous estimation is reduced when more tips are present; however, for other tree shapes it does not (e.g., coalescent trees used in population genetics).
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