Cited by 153

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Are Convergent and Parallel Amino Acid Substitutions in Protein Evolution More Prevalent Than Neutral Expectations?

Zou, Zhengting, Zhang, Jianzhi·2015·Molecular Biology and Evolution

Abstract

Convergent and parallel amino acid substitutions in protein evolution, collectively referred to as molecular convergence here, have small probabilities under neutral evolution. For this reason, molecular convergence is commonly viewed as evidence for similar adaptations of different species. The surge in the number of reports of molecular convergence in the last decade raises the intriguing question of whether molecular convergence occurs substantially more frequently than expected under neutral evolution. We here address this question using all one-to-one orthologous proteins encoded by the genomes of 12 fruit fly species and those encoded by 17 mammals. We found that the expected amount of molecular convergence varies greatly depending on the specific neutral substitution model assumed at each amino acid site and that the observed amount of molecular convergence is explainable by neutral models incorporating site-specific information of acceptable amino acids. Interestingly, the total number of convergent and parallel substitutions between two lineages, relative to the neutral expectation, decreases with the genetic distance between the two lineages, regardless of the model used in computing the neutral expectation. We hypothesize that this trend results from differences in the amino acids acceptable at a given site among different clades of a phylogeny, due to prevalent epistasis, and provide simulation as well as empirical evidence for this hypothesis. Together, our study…

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  • The need for genome-wide statistical analysis methods with low error rates prompted the development of several new and updated phylogenetic methods that could be applied to genomic data.

    “This need prompted the development of several new and updated phylogenetic methods that could be applied to this genomic data (Zou and Zhang 2015; Prudent et al. 2016; Rey et al. 2018; Hu et al. 2019; Kowalczyk et al. 2019; Treaster et al. 2021; Duchemin et al. 2022; Fukushima and Pollock 2023; Morel et al. 2024)”
  • PhyloG2P methods that utilize replicated evolution may struggle when there is a low chance of any of the genetic changes being replicated across lineages.

    “PhyloG2P methods that utilize replicated evolution may struggle in such cases, as there is a low chance of any of the genetic changes being replicated across lineages (Zou and Zhang 2015).”
  • As the CSUBST metric accounts for the expected number of both synonymous and nonsynonymous replicated substitutions, it is also robust to poor estimations of those expected numbers, which can pose a challenge for several other methods.

    “Additionally, as the metric accounts for the expected number of both synonymous and nonsynonymous replicated substitutions, it is also robust to poor estimations of those expected numbers, which can pose a challenge for several of the other methods (Zou and Zhang 2015).”

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Metadata

Authors
Zou, Z., & Zhang, J.
Venue
Molecular Biology and Evolution
Published
2015-04-09
Volume
32
Issue
8
Pages
2085-2096
ISSN
  • 0737-4038
  • 1537-1719
Cited by
153
References
1
Language
en

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