Literature DB >> 14525925

Gene loss, protein sequence divergence, gene dispensability, expression level, and interactivity are correlated in eukaryotic evolution.

Dmitri M Krylov1, Yuri I Wolf, Igor B Rogozin, Eugene V Koonin.   

Abstract

Lineage-specific gene loss, to a large extent, accounts for the differences in gene repertoires between genomes, particularly among eukaryotes. We derived a parsimonious scenario of gene losses for eukaryotic orthologous groups (KOGs) from seven complete eukaryotic genomes. The scenario involves substantial gene loss in fungi, nematodes, and insects. Based on this evolutionary scenario and estimates of the divergence times between major eukaryotic phyla, we introduce a numerical measure, the propensity for gene loss (PGL). We explore the connection among the propensity of a gene to be lost in evolution (PGL value), protein sequence divergence, the effect of gene knockout on fitness, the number of protein-protein interactions, and expression level for the genes in KOGs. Significant correlations between PGL and each of these variables were detected. Genes that have a lower propensity to be lost in eukaryotic evolution accumulate fewer substitutions in their protein sequences and tend to be essential for the organism viability, tend to be highly expressed, and have many interaction partners. The dependence between PGL and gene dispensability and interactivity is much stronger than that for sequence evolution rate. Thus, propensity of a gene to be lost during evolution seems to be a direct reflection of its biological importance.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14525925      PMCID: PMC403683          DOI: 10.1101/gr.1589103

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  39 in total

1.  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

2.  Highly expressed genes in yeast evolve slowly.

Authors:  C Pál; B Papp; L D Hurst
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

3.  Protein dispensability and rate of evolution.

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

4.  Genomic clocks and evolutionary timescales.

Authors:  S Blair Hedges; Sudhir Kumar
Journal:  Trends Genet       Date:  2003-04       Impact factor: 11.639

Review 5.  The origin and evolution of model organisms.

Authors:  S Blair Hedges
Journal:  Nat Rev Genet       Date:  2002-11       Impact factor: 53.242

6.  The rapid generation of mutation data matrices from protein sequences.

Authors:  D T Jones; W R Taylor; J M Thornton
Journal:  Comput Appl Biosci       Date:  1992-06

7.  MEGA: Molecular Evolutionary Genetics Analysis software for microcomputers.

Authors:  S Kumar; K Tamura; M Nei
Journal:  Comput Appl Biosci       Date:  1994-04

8.  Do essential genes evolve slowly?

Authors:  L D Hurst; N G Smith
Journal:  Curr Biol       Date:  1999-07-15       Impact factor: 10.834

9.  Algorithms for computing parsimonious evolutionary scenarios for genome evolution, the last universal common ancestor and dominance of horizontal gene transfer in the evolution of prokaryotes.

Authors:  Boris G Mirkin; Trevor I Fenner; Michael Y Galperin; Eugene V Koonin
Journal:  BMC Evol Biol       Date:  2003-01-06       Impact factor: 3.260

10.  The COG database: an updated version includes eukaryotes.

Authors:  Roman L Tatusov; Natalie D Fedorova; John D Jackson; Aviva R Jacobs; Boris Kiryutin; Eugene V Koonin; Dmitri M Krylov; Raja Mazumder; Sergei L Mekhedov; Anastasia N Nikolskaya; B Sridhar Rao; Sergei Smirnov; Alexander V Sverdlov; Sona Vasudevan; Yuri I Wolf; Jodie J Yin; Darren A Natale
Journal:  BMC Bioinformatics       Date:  2003-09-11       Impact factor: 3.169

View more
  197 in total

1.  Bioinformatical assay of human gene morbidity.

Authors:  Fyodor A Kondrashov; Aleksey Y Ogurtsov; Alexey S Kondrashov
Journal:  Nucleic Acids Res       Date:  2004-03-12       Impact factor: 16.971

2.  Gene expression intensity shapes evolutionary rates of the proteins encoded by the vertebrate genome.

Authors:  Sankar Subramanian; Sudhir Kumar
Journal:  Genetics       Date:  2004-09       Impact factor: 4.562

3.  Comparative analysis of complete genomes reveals gene loss, acquisition and acceleration of evolutionary rates in Metazoa, suggests a prevalence of evolution via gene acquisition and indicates that the evolutionary rates in animals tend to be conserved.

Authors:  Vladimir N Babenko; Dmitri M Krylov
Journal:  Nucleic Acids Res       Date:  2004-09-24       Impact factor: 16.971

4.  Nature and intensity of selection pressure on CRISPR-associated genes.

Authors:  Nobuto Takeuchi; Yuri I Wolf; Kira S Makarova; Eugene V Koonin
Journal:  J Bacteriol       Date:  2011-12-16       Impact factor: 3.490

Review 5.  A network perspective on metabolism and aging.

Authors:  Quinlyn A Soltow; Dean P Jones; Daniel E L Promislow
Journal:  Integr Comp Biol       Date:  2010-07-12       Impact factor: 3.326

6.  Computing prokaryotic gene ubiquity: rescuing the core from extinction.

Authors:  Robert L Charlebois; W Ford Doolittle
Journal:  Genome Res       Date:  2004-12       Impact factor: 9.043

7.  Phylogeny determined by protein domain content.

Authors:  Song Yang; Russell F Doolittle; Philip E Bourne
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-03       Impact factor: 11.205

8.  Sex-specific functional specialization and the evolutionary rates of essential fertility genes.

Authors:  Dara G Torgerson; Brett R Whitty; Rama S Singh
Journal:  J Mol Evol       Date:  2005-10-20       Impact factor: 2.395

9.  Protein evolutionary rates correlate with expression independently of synonymous substitutions in Helicobacter pylori.

Authors:  Björn Sällström; Ramy A Arnaout; Wagied Davids; Pär Bjelkmar; Siv G E Andersson
Journal:  J Mol Evol       Date:  2006-04-01       Impact factor: 2.395

10.  Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution.

Authors:  D Allan Drummond; Claus O Wilke
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.