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Gene Tree Discordance Causes Apparent Substitution Rate Variation.
Fábio K Mendes1, Matthew W Hahn2
1Department of Biology and fkmendes@indiana.edu.
Systematic Biology
|March 2, 2016
Summary
A new technical bias, Substitutions Produced by ILS (SPILS), causes apparent variation in evolutionary substitution rates. This bias is linked to gene tree discordance and impacts phylogenetic analyses, especially in rapid radiations.
Area of Science:
- Evolutionary biology
- Phylogenetics
- Genomics
Background:
- Substitution rates vary across genes, chromosomes, species, and lineages.
- Gene tree discordance, often due to incomplete lineage sorting (ILS), is common in genomic data.
- Analyzing substitutions on discordant gene trees within a fixed species tree can create technical biases.
Purpose of the Study:
- To identify and characterize a novel source of substitution rate variation stemming from gene tree discordance.
- To investigate the impact of this bias, termed Substitutions Produced by ILS (SPILS), on phylogenetic inference and evolutionary analyses.
- To demonstrate the presence and implications of SPILS in empirical data.
Main Methods:
- Simulations were used to model the effects of varying levels of ILS on substitution rate inference.
- Analysis of discordant gene tree topologies to predict erroneous branch length estimations.
- Testing for positive selection under fixed species tree topologies using simulated and empirical data.
Main Results:
- SPILS increases with higher levels of ILS and larger numbers of taxa.
- Specific species tree branches are consistently miscalculated in length due to SPILS.
- Fixing species tree topology inflates false positive rates in tests for positive selection, particularly for genes with high discordance.
Conclusions:
- SPILS represents a significant technical bias in phylogenetic analyses, particularly in scenarios with high ILS.
- This bias can lead to erroneous inferences of evolutionary rates, convergence, and accelerated evolution.
- Addressing SPILS is crucial for accurate character mapping and understanding evolutionary processes in rapid radiations.
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