Literature DB >> 33118098

A Phylogenetic Rate Parameter Indicates Different Sequence Divergence Patterns in Orthologs and Paralogs.

Joseph B Ahrens1,2, Ashley I Teufel3,4, Jessica Siltberg-Liberles5.   

Abstract

Heterotachy-the change in sequence evolutionary rate over time-is a common feature of protein molecular evolution. Decades of studies have shed light on the conditions under which heterotachy occurs, and there is evidence that site-specific evolutionary rate shifts are correlated with changes in protein function. Here, we present a large-scale, computational analysis using thousands of protein sequence alignments from animal and plant proteomes, representing genes related either by orthology (speciation events) or paralogy (gene duplication), to compare sequence divergence patterns in orthologous vs. paralogous sequence alignments. We use sequence-based phylogenetic analyses to infer overall sequence divergence (tree length/number of sequences) and to fit site-specific rates to a discrete gamma distribution with a shape parameter α. This inference method is applied to real protein sequence alignments, as well as alignments simulated under various models of protein sequence evolution. Our simulations indicate that sequence divergence and the α parameter are positively correlated when sequences evolve with heterotachy, meaning that inferred site rate distributions appear more uniform as sequences diverge. Divergence and α are also positively correlated in both orthologous and paralogous genes, but the average increase in α (as a function of divergence) is significantly higher in paralogous protein alignments than in orthologous alignments. This result is consistent with the widely held view that recently duplicated proteins initially evolve under relaxed selective pressure, promoting functional divergence by accumulation of amino acid replacements, and hence experience more evolutionary rate fluctuations than orthologous proteins. We discuss these findings in the context of the ortholog conjecture, a long-standing assumption in molecular evolution, which posits that protein sequences related by orthology tend to be more functionally conserved than paralogous proteins.

Keywords:  Heterotachy; Ortholog; Paralog; Protein; Rate heterogeneity

Year:  2020        PMID: 33118098     DOI: 10.1007/s00239-020-09969-7

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  48 in total

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6.  The Nuanced Interplay of Intrinsic Disorder and Other Structural Properties Driving Protein Evolution.

Authors:  Joseph Ahrens; Helena G Dos Santos; Jessica Siltberg-Liberles
Journal:  Mol Biol Evol       Date:  2016-05-05       Impact factor: 16.240

7.  Resolving the ortholog conjecture: orthologs tend to be weakly, but significantly, more similar in function than paralogs.

Authors:  Adrian M Altenhoff; Romain A Studer; Marc Robinson-Rechavi; Christophe Dessimoz
Journal:  PLoS Comput Biol       Date:  2012-05-17       Impact factor: 4.475

8.  The ortholog conjecture is untestable by the current gene ontology but is supported by RNA sequencing data.

Authors:  Xiaoshu Chen; Jianzhi Zhang
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9.  Trends in substitution models of molecular evolution.

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10.  Functional Diversification after Gene Duplication: Paralog Specific Regions of Structural Disorder and Phosphorylation in p53, p63, and p73.

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Journal:  PLoS One       Date:  2016-03-22       Impact factor: 3.240

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