2018
DOI: 10.1073/pnas.1811268115
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Quantifying the risk of hemiplasy in phylogenetic inference

Abstract: SignificanceConvergent evolution provides key evidence for the action of natural selection. The process of convergence is often inferred because the same trait appears in multiple species that are not closely related. However, different parts of the genome can reveal different relationships among species, with some genes or regions uniting lineages that appear unrelated in the species tree. If changes in traits occur in these discordant regions, a false pattern of convergence can be produced (known as “hemipla… Show more

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Cited by 57 publications
(87 citation statements)
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“…While both datasets contain very closely related species -with very low levels of nucleotide divergence -there is still a possibility that homoplasy has occurred. In order to estimate the proportion of incongruent sites due to homoplasy in any dataset, we have developed a population genetic model of both hemiplasy and homoplasy (Guerrero and Hahn, 2018). Using estimates of the speciation times, mutation rate, and effective population sizes of the primates studied here, this model predicts that 84% of sites incongruent with the species tree are due to hemiplasy, with the other 16% due to homoplasy.…”
Section: Discussionmentioning
confidence: 99%
“…While both datasets contain very closely related species -with very low levels of nucleotide divergence -there is still a possibility that homoplasy has occurred. In order to estimate the proportion of incongruent sites due to homoplasy in any dataset, we have developed a population genetic model of both hemiplasy and homoplasy (Guerrero and Hahn, 2018). Using estimates of the speciation times, mutation rate, and effective population sizes of the primates studied here, this model predicts that 84% of sites incongruent with the species tree are due to hemiplasy, with the other 16% due to homoplasy.…”
Section: Discussionmentioning
confidence: 99%
“…Methods that estimate phenotype-genotype associations incorporating heterogeneity across gene trees or that at least take into account differential state probabilities stemming from gene tree discordance (e.g., Guerrero & Hahn, 2018). Similarly, extensions of the MSC for quantitative traits that take into account genealogical heterogeneity represent a promising avenue for research and implementation (e.g., Mendes et al, 2018).…”
Section: Phylogenetic Inference Models and Methodsmentioning
confidence: 99%
“…ILS shown in Figure 1A) has been termed hemiplasy (to contrast it with homoplasy Avise and Robinson, 2008;Wake et al, 2011). This term has also been more generally applied to alleles shared by gene flow and with some authors seeing it as an alternative explanation to convergence (Hahn and Nakhleh, 2016;Mendes et al, 2018;Guerrero and Hahn, 2018). While these approaches to assess discordance between gene trees and species trees that lead to spurious inference of convergence are important, we argue that the sharing of an allele due to ILS or introgression does not invalidate the case for convergent adaptation.…”
Section: Establishing Independencementioning
confidence: 99%
“…This is conceptually similar to how a species phylogeny specifies the shared branch lengths for pairs of species back to their common ancestors and hence the degree of shared ancestry relative to the most recent common ancestor of all the samples. However, using the relatedness matrix is a somewhat different statement from the importance of species phylogeny in judging trait similarity since introgression and ILS increase the chance that alleles and traits can be discordant with a species phylogeny (Hahn and Nakhleh, 2016;Mendes et al, 2018;Guerrero and Hahn, 2018). This issue is well accommodated for by using the relatedness matrix which naturally accounts for allele sharing that is discordant with the species tree.…”
Section: Single Locus and Quantitative Trait Testsmentioning
confidence: 99%