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Wascher, M.

Publications and source records attributed to Wascher, M..

2 recordsLinked to original sources

On the effects of selection and mutation on species tree inference

A common question that arises when inferring species-level phylogenies from genome-scale data is whether selection acting on certain parts of the genome could create a bias in the inferred phylogeny. While most methods for species tree inference currently assume the multispecies coalescent (MSC), all methods that we are aware of utilize only the neutral coalescent process. If selection is in fact present, failure to adequately model it could introduce substantial bias. We work toward rigorously addressing this question using mathematical theory by deriving a version of the coalescent including selection and mutation as a limiting approximation of the Wright-Fisher model with selection and mutation, and showing that it can be used to closely approximate the distribution of coalescent times in the presence of selection and mutation. We confirm the adequacy of the approximation with a simulation study, and discuss its implications for species tree inference. Our results show that in a general class containing many cases of interest, selection has only a small impact on the coalescent process, and ignoring selection when it is present does not have a substantial negative impact on inference of the species tree topology.

evolutionary biology↗

Consistency of SVDQuartets and Maximum Likelihood for Coalescent-based Species Tree Estimation

AbtractNumerous methods for inferring species-level phylogenies under the coalescent model have been proposed within the last 20 years, and debates continue about the relative strengths and weaknesses of these methods. One desirable property of a phylogenetic estimator is that of statistical consistency, which means intuitively that as more data are collected, the probability that the estimated tree has the same topology as the true tree goes to 1. To date, consistency results for species tree inference under the multispecies coalescent have been derived only for summary statistics methods, such as ASTRAL and MP-EST. These methods have been found to be consistent given true gene trees, but may be inconsistent when gene trees are estimated from data for loci of finite length (Roch et al., 2019). Here we consider the question of statistical consistency for four taxa for SVDQuartets for general data types, as well as for the maximum likelihood (ML) method in the case in which the data are a collection of sites generated under the multispecies coalescent model such that the sites are conditionally independent given the species tree (we call these data Coalescent Independent Sites (CIS) data). We show that SVDQuartets is statistically consistent for all data types (i.e., for both CIS data and for multilocus data), and we derive its rate of convergence. We additionally show that ML is consistent for CIS data under the JC69 model, and discuss why a proof for the more general multilocus case is difficult. Finally, we compare the performance of maximum likelihood and SDVQuartets using simulation for both data types.

evolutionary biology↗