Literature DB >> 30813887

mtProtEvol: the resource presenting molecular evolution analysis of proteins involved in the function of Vertebrate mitochondria.

Anastasia A Kuzminkova1, Anastasia D Sokol1, Kristina E Ushakova1, Konstantin Yu Popadin1,2, Konstantin V Gunbin3,4,5.   

Abstract

BACKGROUND: Heterotachy is the variation in the evolutionary rate of aligned sites in different parts of the phylogenetic tree. It occurs mainly due to epistatic interactions among the substitutions, which are highly complex and make it difficult to study protein evolution. The vast majority of computational evolutionary approaches for studying these epistatic interactions or their evolutionary consequences in proteins require high computational time. However, recently, it has been shown that the evolution of residue solvent accessibility (RSA) is tightly linked with changes in protein fitness and intra-protein epistatic interactions. This provides a computationally fast alternative, based on comparison of evolutionary rates of amino acid replacements with the rates of RSA evolutionary changes in order to recognize any shifts in epistatic interaction.
RESULTS: Based on RSA information, data randomization and phylogenetic approaches, we constructed a software pipeline, which can be used to analyze the evolutionary consequences of intra-protein epistatic interactions with relatively low computational time. We analyzed the evolution of 512 protein families tightly linked to mitochondrial function in Vertebrates and created "mtProtEvol", the web resource with data on protein evolution. In strict agreement with lifespan and metabolic rate data, we demonstrated that different functional categories of mitochondria-related proteins subjected to selection on accelerated and decelerated RSA rates in rodents and primates. For example, accelerated RSA evolution in rodents has been shown for Krebs cycle enzymes, respiratory chain and reactive oxygen species metabolism, while in primates these functions are stress-response, translation and mtDNA integrity. Decelerated RSA evolution in rodents has been demonstrated for translational machinery and oxidative stress response components.
CONCLUSIONS: mtProtEvol is an interactive resource focused on evolutionary analysis of epistatic interactions in protein families involved in Vertebrata mitochondria function and available at http://bioinfodbs.kantiana.ru/mtProtEvol /. This resource and the devised software pipeline may be useful tool for researchers in area of protein evolution.

Entities:  

Keywords:  Database; Epistatic interactions; Positive selection; Proteins; Residue solvent accessibilities

Mesh:

Substances:

Year:  2019        PMID: 30813887      PMCID: PMC6391778          DOI: 10.1186/s12862-019-1371-x

Source DB:  PubMed          Journal:  BMC Evol Biol        ISSN: 1471-2148            Impact factor:   3.260


  53 in total

1.  Coevolving protein residues: maximum likelihood identification and relationship to structure.

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3.  New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.

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Journal:  Syst Biol       Date:  2010-03-29       Impact factor: 15.683

Review 4.  Changing preferences: deformation of single position amino acid fitness landscapes and evolution of proteins.

Authors:  Georgii A Bazykin
Journal:  Biol Lett       Date:  2015-10       Impact factor: 3.703

5.  General heterotachy and distance method adjustments.

Authors:  Jihua Wu; Edward Susko
Journal:  Mol Biol Evol       Date:  2009-08-17       Impact factor: 16.240

6.  An improved general amino acid replacement matrix.

Authors:  Si Quang Le; Olivier Gascuel
Journal:  Mol Biol Evol       Date:  2008-03-26       Impact factor: 16.240

7.  Who Let the CAT Out of the Bag? Accurately Dealing with Substitutional Heterogeneity in Phylogenomic Analyses.

Authors:  Nathan V Whelan; Kenneth M Halanych
Journal:  Syst Biol       Date:  2017-03-01       Impact factor: 15.683

8.  High-performance web services for querying gene and variant annotation.

Authors:  Jiwen Xin; Adam Mark; Cyrus Afrasiabi; Ginger Tsueng; Moritz Juchler; Nikhil Gopal; Gregory S Stupp; Timothy E Putman; Benjamin J Ainscough; Obi L Griffith; Ali Torkamani; Patricia L Whetzel; Christopher J Mungall; Sean D Mooney; Andrew I Su; Chunlei Wu
Journal:  Genome Biol       Date:  2016-05-06       Impact factor: 13.583

9.  PROCOV: maximum likelihood estimation of protein phylogeny under covarion models and site-specific covarion pattern analysis.

Authors:  Huai-Chun Wang; Edward Susko; Andrew J Roger
Journal:  BMC Evol Biol       Date:  2009-09-08       Impact factor: 3.260

10.  phyloXML: XML for evolutionary biology and comparative genomics.

Authors:  Mira V Han; Christian M Zmasek
Journal:  BMC Bioinformatics       Date:  2009-10-27       Impact factor: 3.169

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  1 in total

1.  Evolutionary biology and biodiversity research at BGRS-2018.

Authors:  Yuriy L Orlov; Ancha V Baranova; Nikolay A Kolchanov; Leonid L Moroz
Journal:  BMC Evol Biol       Date:  2019-02-26       Impact factor: 3.260

  1 in total

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