scholarly journals Comment on Smaers et al. (2016): A nonviable phylogenetic comparative method hampered by circularity, inaccuracy, and bias

2016 ◽  
Author(s):  
Randi H. Griffin ◽  
Gabriel S. Yapuncich

AbstractSmaers, Mongle & Kandler (2016) (Biological Journal of the Linnean Society, 118: 78-94) introduced a new phylogenetic comparative method, multiple variance Brownian motion (mvBM), for reconstructing ancestral states given a phylogenetic tree and continuous trait data. The authors conducted a simulation study and argued that mvBM outperforms constant variance Brownian motion (BM) when rates of evolution vary across the phylogeny. In this comment, we argue that mvBM is not a viable statistical method because it is fundamentally a circular analysis that overfits phylogenetic branch lengths to the data. We further argue that the comparison of mvBM to BM under conditions where the assumptions of BM are clearly violated is not an informative performance analysis, and that the simulation study of Smaers et al. (2016) exaggerates the performance of mvBM by focusing on a narrow range of simulation conditions and reporting aggregated accuracy metrics that obscure severe inaccuracy and bias in its ancestral state estimates. Our arguments are supported by simulation results. We conclude that mvBM is not a viable phylogenetic comparative method.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Maulana M. Naji ◽  
Yuri T. Utsunomiya ◽  
Johann Sölkner ◽  
Benjamin D. Rosen ◽  
Gábor Mészáros

Abstract Background In evolutionary theory, divergence and speciation can arise from long periods of reproductive isolation, genetic mutation, selection and environmental adaptation. After divergence, alleles can either persist in their initial state (ancestral allele - AA), co-exist or be replaced by a mutated state (derived alleles -DA). In this study, we aligned whole genome sequences of individuals from the Bovinae subfamily to the cattle reference genome (ARS.UCD-1.2) for defining ancestral alleles necessary for selection signatures study. Results Accommodating independent divergent of each lineage from the initial ancestral state, AA were defined based on fixed alleles on at least two groups of yak, bison and gayal-gaur-banteng resulting in ~ 32.4 million variants. Using non-overlapping scanning windows of 10 Kb, we counted the AA observed within taurine and zebu cattle. We focused on the extreme points, regions with top 0. 1% (high count) and regions without any occurrence of AA (null count). High count regions preserved gene functions from ancestral states that are still beneficial in the current condition, while null counts regions were linked to mutated ones. For both cattle, high count regions were associated with basal lipid metabolism, essential for survival of various environmental pressures. Mutated regions were associated to productive traits in taurine, i.e. higher metabolism, cell development and behaviors and in immune response domain for zebu. Conclusions Our findings suggest that retaining and losing AA in some regions are varied and made it species-specific with possibility of overlapping as it depends on the selective pressure they had to experience.



PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0144147 ◽  
Author(s):  
Randi H. Griffin ◽  
Gabriel S. Yapuncich


Author(s):  
Nuri Celik

The arcsine distribution is very important tool in statistics literature especially in Brownian motion studies. However, modelling real data sets, even when the potential underlying distribution is pre-defined, is very complicated and difficult in statistical modelling. For this reason, we desire some flexibility on the underlying distribution. In this study, we propose a new distribution obtained by arcsine distribution with Azzalini’s skewness procedure. The main characteristics of the proposed distribution are determined both with theoretically and simulation study.



2019 ◽  
Author(s):  
Yuki Haba ◽  
Nobuyuki Kutsukake

AbstractOne major challenge of using the phylogenetic comparative method (PCM) is the analysis of the evolution of interrelated continuous and discrete traits in a single multivariate statistical framework. In addition, more intricate parameters such as branch-specific directional selection have rarely been integrated into such multivariate PCM frameworks. Here, originally motivated to analyze the complex evolutionary trajectories of group size (continuous variable) and social systems (discrete variable) in African subterranean rodents, we develop a flexible approach using approximate Bayesian computation (ABC). Specifically, our multivariate ABC-PCM method allows the user to flexibly model an underlying latent evolutionary function between continuous and discrete traits. The ABC-PCM also simultaneously incorporates complex evolutionary parameters such as branch-specific selection. This study highlights the flexibility of ABC-PCMs in analyzing the evolution of phenotypic traits interrelated in a complex manner.



Author(s):  
Marc W. Cadotte ◽  
T. Jonathan Davies

This chapter examines a variety of methods for detecting the patterns of evolution of a certain trait. It first considers common metrics for evaluating phylogenetic signal and compares fit of alternative evolutionary models. When trait data deviates significantly from assumptions of Brownian motion (BM), the phylogenetic distances separating taxa on a time-calibrated tree might not accurately capture phenotypic distance between species. If we are able to identify the correct model of trait evolution, we can transform the branch lengths on the phylogenetic tree to match. Nevertheless, we might still favor using the untransformed tree because complex evolutionary models might not generalize across traits. The chapter also reviews alternative models of trait evolution, including a model of constrained evolution, multirate and multioptima models, speciational models, and white noise model. Finally, it looks at some of the common models for reconstructing ancestral states for discrete and continuous data.



2002 ◽  
Vol 51 (6) ◽  
pp. 873-880 ◽  
Author(s):  
Emília P. Martins ◽  
Elizabeth A. Housworth


Evolution ◽  
2002 ◽  
Vol 56 (1) ◽  
pp. 1 ◽  
Author(s):  
Emília P. Martins ◽  
José Alexandre F. Diniz-Filho ◽  
Elizabeth A. Housworth


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