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The perils of intralocus recombination for inferences of molecular convergence
Published version of a preprint
Abstract
Accurate inferences of convergence require that the appropriate tree topology be used. If there is a mismatch between the tree a trait has evolved along and the tree used for analysis, then false inferences of convergence (‘hemiplasy’) can occur. To avoid problems of hemiplasy when there are high levels of gene tree discordance with the species tree, researchers have begun to construct tree topologies from individual loci. However, due to intralocus recombination, even locus-specific trees may contain multiple topologies within them. This implies that the use of individual tree topologies discordant with the species tree can still lead to incorrect inferences about molecular convergence. Here, we examine the frequency with which single exons and single protein-coding genes contain multiple underlying tree topologies, in primates and Drosophila , and quantify the effects of hemiplasy when using trees inferred from individual loci. In both clades, we find that there are most often multiple diagnosable topologies within single exons and whole genes, with 91% of Drosophila protein-coding genes containing multiple topologies. Because of this underlying topological heterogeneity, even using trees inferred from individual protein-coding genes results in 25% and 38% of substitutions falsely labelled as convergent in primates and Drosophila , respectively. While constructing local trees can reduce the problem of hemiplasy, our results suggest that it will be difficult to completely avoid false inferences of convergence. We conclude by suggesting several ways forward in the analysis of convergent evolution, for both molecular and morphological characters. This article is part of the theme issue ‘Convergent evolution in the genomics era: new insights and directions’.
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By accounting for synonymous substitutions, the CSUBST metric is robust to errors in topology which can confound other methods.
“By accounting for synonymous substitutions, this metric is robust to errors in topology which can confound the other methods described above (Mendes and Hahn 2016; Mendes et al. 2019).”
From From Trees to Traits: A Review of Advances in PhyloG2P Methods and Future Directions (2025) · cites this paper as Mendes et al. 2019
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Fukushima, K., & Pollock, D. D. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01932-7 · Cited by 55
From Trees to Traits: A Review of Advances in PhyloG2P Methods and Future Directions
Macdonald, A. R., James, M. E., Mitchell, J. D., & Holland, B. R. (2025) · Genome Biology and Evolution · doi:10.1093/gbe/evaf150 · Cited by 5
Metadata
- Authors
- Mendes, F. K., Livera, A. P., & Hahn, M. W.
- Affiliations
- Department of Computer Science, The University of Auckland, Auckland 1010, New Zealand
- Department of Biology, Indiana University, Bloomington, IN 47405, USA
- ORCID
- Hahn, Matthew W.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2019-06-03
- Volume
- 374
- Issue
- 1777
- Pages
- 20180244
- ISSN
- 0962-8436
- 1471-2970
- Cited by
- 42
- References
- 1
- Language
- en
- Funders
- Division of Biological Infrastructure (DBI-1564611)
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