Literature DB >> 19351897

The universal distribution of evolutionary rates of genes and distinct characteristics of eukaryotic genes of different apparent ages.

Yuri I Wolf1, Pavel S Novichkov, Georgy P Karev, Eugene V Koonin, David J Lipman.   

Abstract

The evolutionary rates of protein-coding genes in an organism span, approximately, 3 orders of magnitude and show a universal, approximately log-normal distribution in a broad variety of species from prokaryotes to mammals. This universal distribution implies a steady-state process, with identical distributions of evolutionary rates among genes that are gained and genes that are lost. A mathematical model of such process is developed under the single assumption of the constancy of the distributions of the propensities for gene loss (PGL). This model predicts that genes of different ages, that is, genes with homologs detectable at different phylogenetic depths, substantially differ in those variables that correlate with PGL. We computationally partition protein-coding genes from humans, flies, and Aspergillus fungus into age classes, and show that genes of different ages retain the universal log-normal distribution of evolutionary rates, with a shift toward higher rates in "younger" classes but also with a substantial overlap. The only exception involves human primate-specific genes that show a heavy tail of rapidly evolving genes, probably owing to gene annotation artifacts. As predicted, the gene age classes differ in characteristics correlated with PGL. Compared with "young" genes (e.g., mammal-specific human ones), "old" genes (e.g., eukaryote-specific), on average, are longer, are expressed at a higher level, possess a higher intron density, evolve slower on the short time scale, and are subject to stronger purifying selection. Thus, genome evolution fits a simple model with approximately uniform rates of gene gain and loss, without major bursts of genomic innovation.

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Year:  2009        PMID: 19351897      PMCID: PMC2666616          DOI: 10.1073/pnas.0901808106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  57 in total

1.  Lateral genomics.

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2.  From complete genomes to measures of substitution rate variability within and between proteins.

Authors:  N V Grishin; Y I Wolf; E V Koonin
Journal:  Genome Res       Date:  2000-07       Impact factor: 9.043

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Authors:  A E Hirsh; H B Fraser
Journal:  Nature       Date:  2001-06-28       Impact factor: 49.962

4.  A single determinant dominates the rate of yeast protein evolution.

Authors:  D Allan Drummond; Alpan Raval; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2005-10-19       Impact factor: 16.240

5.  Unifying measures of gene function and evolution.

Authors:  Yuri I Wolf; Liran Carmel; Eugene V Koonin
Journal:  Proc Biol Sci       Date:  2006-06-22       Impact factor: 5.349

Review 6.  An integrated view of protein evolution.

Authors:  Csaba Pál; Balázs Papp; Martin J Lercher
Journal:  Nat Rev Genet       Date:  2006-05       Impact factor: 53.242

Review 7.  Eukaryotic evolution, changes and challenges.

Authors:  T Martin Embley; William Martin
Journal:  Nature       Date:  2006-03-30       Impact factor: 49.962

8.  Coping with the quantitative genomics 'elephant': the correlation between the gene dispensability and evolution rate.

Authors:  Yuri I Wolf
Journal:  Trends Genet       Date:  2006-05-11       Impact factor: 11.639

Review 9.  Evolutionary systems biology: links between gene evolution and function.

Authors:  Eugene V Koonin; Yuri I Wolf
Journal:  Curr Opin Biotechnol       Date:  2006-09-08       Impact factor: 9.740

10.  Bushes in the tree of life.

Authors:  Antonis Rokas; Sean B Carroll
Journal:  PLoS Biol       Date:  2006-11       Impact factor: 8.029

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  126 in total

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Authors:  Lihuan Cao; Bo Peng; Lei Yao; Xinming Zhang; Kuan Sun; Xianmei Yang; Long Yu
Journal:  Biol Direct       Date:  2010-09-20       Impact factor: 4.540

2.  Age-dependent gain of alternative splice forms and biased duplication explain the relation between splicing and duplication.

Authors:  Julien Roux; Marc Robinson-Rechavi
Journal:  Genome Res       Date:  2010-12-20       Impact factor: 9.043

3.  Young proteins experience more variable selection pressures than old proteins.

Authors:  Anchal Vishnoi; Sergey Kryazhimskiy; Georgii A Bazykin; Sridhar Hannenhalli; Joshua B Plotkin
Journal:  Genome Res       Date:  2010-10-04       Impact factor: 9.043

4.  Genetic and epigenetic regulation of human lincRNA gene expression.

Authors:  Konstantin Popadin; Maria Gutierrez-Arcelus; Emmanouil T Dermitzakis; Stylianos E Antonarakis
Journal:  Am J Hum Genet       Date:  2013-11-21       Impact factor: 11.025

5.  The Origin at 150: is a new evolutionary synthesis in sight?

Authors:  Eugene V Koonin
Journal:  Trends Genet       Date:  2009-10-14       Impact factor: 11.639

6.  Computational methods for Gene Orthology inference.

Authors:  David M Kristensen; Yuri I Wolf; Arcady R Mushegian; Eugene V Koonin
Journal:  Brief Bioinform       Date:  2011-06-19       Impact factor: 11.622

7.  Slow protein evolutionary rates are dictated by surface-core association.

Authors:  Agnes Tóth-Petróczy; Dan S Tawfik
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-20       Impact factor: 11.205

8.  Universal distribution of protein evolution rates as a consequence of protein folding physics.

Authors:  Alexander E Lobkovsky; Yuri I Wolf; Eugene V Koonin
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-26       Impact factor: 11.205

Review 9.  The evolutionary origin of orphan genes.

Authors:  Diethard Tautz; Tomislav Domazet-Lošo
Journal:  Nat Rev Genet       Date:  2011-08-31       Impact factor: 53.242

10.  Positive selection within a diatom species acts on putative protein interactions and transcriptional regulation.

Authors:  Julie A Koester; Willie J Swanson; E Virginia Armbrust
Journal:  Mol Biol Evol       Date:  2012-10-23       Impact factor: 16.240

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