Oct 30, 2018

Robust methods for detecting convergent shifts in evolutionary rates

BioRxiv : the Preprint Server for Biology
Raghavendran ParthaMaria Chikina

Abstract

Identifying genomic elements underlying phenotypic adaptations is an important problem in evolutionary biology. Comparative analyses learning from convergent evolution of traits are gaining momentum in accurately detecting such elements. We previously developed a method for predicting phenotypic associations of genetic elements by contrasting patterns of sequence evolution in species showing a phenotype with those that do not. Using this method, we successfully demonstrated convergent evolutionary rate shifts in genetic elements associated with two phenotypic adaptations, namely the independent subterranean and marine transitions of terrestrial mammalian lineages. Our method calculates gene-specific rates of evolution on branches of phylogenetic trees using linear regression. These rates represent the extent of sequence divergence on a branch after removing the expected divergence on the branch due to background factors. The rates calculated using this regression analysis exhibit an important statistical limitation, namely heteroscedasticity. We observe that the rates on branches that are longer on average show higher variance, and describe how this problem adversely affects the confidence with which we can make inferences abou...Continue Reading

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Mentioned in this Paper

Transformation, Genetic
Genome
Trees (plant)
Divergence
Acclimatization
Genomics
Contrast Used
Adaptation
Genomic DNA
Regression Analysis

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