scholarly journals Special care is needed in applying phylogenetic comparative methods to gene trees with speciation and duplication nodes

2019 ◽  
Author(s):  
Tina Begum ◽  
Marc Robinson-Rechavi

AbstractHow gene function evolves is a central question of evolutionary biology. It can be investigated by comparing functional genomics results between species and between genes. Most comparative studies of functional genomics have used pairwise comparisons. Yet it has been shown that this can provide biased results, since genes, like species, are phylogenetically related. Phylogenetic comparative methods should allow to correct for this, but they depend on strong assumptions, including unbiased tree estimates relative to the hypothesis being tested. Such methods have recently been used to test the “ortholog conjecture”, the hypothesis that functional evolution is faster in paralogs than in orthologs. Whereas pairwise comparisons of tissue specificity (τ) provided support for the ortholog conjecture, phylogenetic independent contrasts did not. Our reanalysis on the same gene trees identified problems with the time calibration of duplication nodes. We find that the gene trees used suffer from important biases, due to the inclusion of trees with no duplication nodes, to the relative age of speciations and duplications, to systematic differences in branch lengths, and to non-Brownian motion of tissue-specificity on many trees. We find that incorrect implementation of phylogenetic method in empirical gene trees with duplications can be problematic. Controlling for biases allows to successfully use phylogenetic methods to study the evolution of gene function, and provides some support for the ortholog conjecture using three different phylogenetic approaches.

Author(s):  
Tina Begum ◽  
Marc Robinson-Rechavi

Abstract How gene function evolves is a central question of evolutionary biology. It can be investigated by comparing functional genomics results between species and between genes. Most comparative studies of functional genomics have used pairwise comparisons. Yet it has been shown that this can provide biased results, as genes, like species, are phylogenetically related. Phylogenetic comparative methods should be used to correct for this, but they depend on strong assumptions, including unbiased tree estimates relative to the hypothesis being tested. Such methods have recently been used to test the “ortholog conjecture,” the hypothesis that functional evolution is faster in paralogs than in orthologs. Although pairwise comparisons of tissue specificity (τ) provided support for the ortholog conjecture, phylogenetic independent contrasts did not. Our reanalysis on the same gene trees identified problems with the time calibration of duplication nodes. We find that the gene trees used suffer from important biases, due to the inclusion of trees with no duplication nodes, to the relative age of speciations and duplications, to systematic differences in branch lengths, and to non-Brownian motion of tissue specificity on many trees. We find that incorrect implementation of phylogenetic method in empirical gene trees with duplications can be problematic. Controlling for biases allows successful use of phylogenetic methods to study the evolution of gene function and provides some support for the ortholog conjecture using three different phylogenetic approaches.


2019 ◽  
Vol 50 (1) ◽  
pp. 405-425 ◽  
Author(s):  
Dean C. Adams ◽  
Michael L. Collyer

Evolutionary biology is multivariate, and advances in phylogenetic comparative methods for multivariate phenotypes have surged to accommodate this fact. Evolutionary trends in multivariate phenotypes are derived from distances and directions between species in a multivariate phenotype space. For these patterns to be interpretable, phenotypes should be characterized by traits in commensurate units and scale. Visualizing such trends, as is achieved with phylomorphospaces, should continue to play a prominent role in macroevolutionary analyses. Evaluating phylogenetic generalized least squares (PGLS) models (e.g., phylogenetic analysis of variance and regression) is valuable, but using parametric procedures is limited to only a few phenotypic variables. In contrast, nonparametric, permutation-based PGLS methods provide a flexible alternative and are thus preferred for high-dimensional multivariate phenotypes. Permutation-based methods for evaluating covariation within multivariate phenotypes are also well established and can test evolutionary trends in phenotypic integration. However, comparing evolutionary rates and modes in multivariate phenotypes remains an important area of future development.


2014 ◽  
Vol 4 (1) ◽  
pp. 40-83 ◽  
Author(s):  
Annemarie Verkerk

There are many different syntactic constructions that languages can use to encode motion events. In recent decades, great advances have been made in the description and study of these syntactic constructions from languages spoken around the world (Talmy 1985, 1991, Slobin 1996, 2004). However, relatively little attention has been paid to historical change in these systems (exceptions are Vincent 1999, Dufresne, Dupuis & Tremblay 2003, Kopecka 2006 and Peyraube 2006). In this article, diachronic change of motion event encoding systems in Indo-European is investigated using the available historical–comparative data and phylogenetic comparative methods adopted from evolutionary biology. It is argued that Proto-Indo-European was not satellite-framed, as suggested by Talmy (2007) and Acedo Matellán and Mateu (2008), but had a mixed motion event encoding system, as is suggested by the available historical–comparative data.


2020 ◽  
Author(s):  
Tina Begum ◽  
Martha Liliana Serrano-Serrano ◽  
Marc Robinson-Rechavi

AbstractDespite the importance of gene function to evolutionary biology, the applicability of comparative methods to gene function is poorly known. A specific case which has crystalized methodological questions is the “ortholog conjecture”, the hypothesis that function evolves faster after duplication (i.e., in paralogs), and conversely conserved between orthologs. Since the mode of functional evolution after duplication is not well known, we investigate under what reasonable evolutionary scenarios phylogenetic independent contrasts or pairwise comparisons can recover a putative signal of different functional evolution between orthologs and paralogs.We investigate three different simulation models, which represent reasonable but simplified hypotheses about gene function (our “trait”) evolution. These are time dependent trait acceleration, correlated changes in rates of both sequence and trait evolution, and asymmetric trait jump. For each model we tested phylogenetic independent contrasts and an improved pairwise comparison method which accounts for interactions between events and node age.Both approaches loose power to detect the trend of functional evolution when the functional trait accelerates for a long time following duplication, with better power of phylogenetic contrasts under intermediate scenarios. Concomitant increase in evolutionary rates of sequence and of trait after duplication can lead to both an incorrect rejection of the null under null simulations of trait evolution, and a false rejection of the ortholog conjecture under ortholog conjecture simulations by phylogenetic independent contrasts. Improved pairwise comparisons are robust to this bias. Both approaches perform equally well to trace rapid shift in traits.Considering our ignorance of gene function evolution, and the potential for bias under simple models, we recommend methodological pluralism in studying gene family evolution. Functional phylogenomics is complex and results supported by only one method should be treated with caution.


2000 ◽  
Vol 15 (3) ◽  
pp. 211-222 ◽  
Author(s):  
Alan R. Templeton ◽  
Stephanie D. Maskas ◽  
Mitchell B. Cruzan

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