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PMID: 15175431 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Coevolution of gene expression among interacting proteins.

Fraser HB, Hirsh AE, Wall DP, Eisen MB

Abstract

Physically interacting proteins or parts of proteins are expected to evolve in a coordinated manner that preserves proper interactions. Such coevolution at the amino acid-sequence level is well documented and has been used to predict interacting proteins, domains, and amino acids. Interacting proteins are also often precisely coexpressed with one another, presumably to maintain proper stoichiometry among interacting components. Here, we show that the expression levels of physically interacting proteins coevolve. We estimate average expression levels of genes from four closely related fungi of the genus Saccharomyces using the codon adaptation index and show that expression levels of interacting proteins exhibit coordinated changes in these different species. We find that this coevolution of expression is a more powerful predictor of physical interaction than is coevolution of amino acid sequence. These results demonstrate that gene expression levels can coevolve, adding another dimension to the study of the coevolution of interacting proteins and underscoring the importance of maintaining coexpression of interacting proteins over evolutionary time. Our results also suggest that expression coevolution can be used for computational prediction of protein-protein interactions.

MeSH Terms
Amino Acid Sequence Codon/genetics Computational Biology Conserved Sequence Evolution, Molecular Fungal Proteins/chemistry,genetics,metabolism Gene Expression/genetics Genes, Fungal Saccharomyces/genetics
Chemicals
Codon Fungal Proteins
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Fraser Hunter B
Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA. hunter@ocf.berkeley.edu
Hirsh Aaron E
Wall Dennis P
Eisen Michael B
References (34)
34 references, click to expand
  1. Protein interaction maps for complete genomes based on gene fusion events.
    Nature. 1999 Nov 4;402(6757):86-90 PMID: 10573422
  2. Detecting protein function and protein-protein interactions from genome sequences.
    Science. 1999 Jul 30;285(5428):751-3 PMID: 10427000
  3. Genomic exploration of the hemiascomycetous yeasts: 1. A set of yeast species for molecular evolution studies.
    FEBS Lett. 2000 Dec 22;487(1):3-12 PMID: 11152876
  4. A relationship between gene expression and protein interactions on the proteome scale: analysis of the bacteriophage T7 and the yeast Saccharomyces cerevisiae.
    Nucleic Acids Res. 2001 Sep 1;29(17):3513-9 PMID: 11522820
  5. Similarity of phylogenetic trees as indicator of protein-protein interaction.
    Protein Eng. 2001 Sep;14(9):609-14 PMID: 11707606
  6. Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae.
    Nat Genet. 2001 Dec;29(4):482-6 PMID: 11694880
  7. Saccharomyces cerevisiae nucleolar protein Nop7p is necessary for biogenesis of 60S ribosomal subunits.
    RNA. 2002 Feb;8(2):150-65 PMID: 11911362
  8. In silico two-hybrid system for the selection of physically interacting protein pairs.
    Proteins. 2002 May 1;47(2):219-27 PMID: 11933068
  9. Comparative assessment of large-scale data sets of protein-protein interactions.
    Nature. 2002 May 23;417(6887):399-403 PMID: 12000970
  10. A large nucleolar U3 ribonucleoprotein required for 18S ribosomal RNA biogenesis.
    Nature. 2002 Jun 27;417(6892):967-70 PMID: 12068309
  11. Transcriptional regulatory networks in Saccharomyces cerevisiae.
    Science. 2002 Oct 25;298(5594):799-804 PMID: 12399584
  12. Co-evolutionary analysis reveals insights into protein-protein interactions.
    J Mol Biol. 2002 Nov 15;324(1):177-92 PMID: 12421567
  13. Exploiting the co-evolution of interacting proteins to discover interaction specificity.
    J Mol Biol. 2003 Mar 14;327(1):273-84 PMID: 12614624
  14. Genome-wide analysis of mRNA translation profiles in Saccharomyces cerevisiae.
    Proc Natl Acad Sci U S A. 2003 Apr 1;100(7):3889-94 PMID: 12660367
  15. Assessing experimentally derived interactions in a small world.
    Proc Natl Acad Sci U S A. 2003 Apr 15;100(8):4372-6 PMID: 12676999
  16. Sequencing and comparison of yeast species to identify genes and regulatory elements.
    Nature. 2003 May 15;423(6937):241-54 PMID: 12748633
  17. Finding functional features in Saccharomyces genomes by phylogenetic footprinting.
    Science. 2003 Jul 4;301(5629):71-6 PMID: 12775844
  18. Dosage sensitivity and the evolution of gene families in yeast.
    Nature. 2003 Jul 10;424(6945):194-7 PMID: 12853957
  19. Translational selection and yeast proteome evolution.
    Genetics. 2003 Aug;164(4):1291-303 PMID: 12930740
  20. Discovery of uncharacterized cellular systems by genome-wide analysis of functional linkages.
    Nat Biotechnol. 2003 Sep;21(9):1055-62 PMID: 12923548
  21. A Bayesian networks approach for predicting protein-protein interactions from genomic data.
    Science. 2003 Oct 17;302(5644):449-53 PMID: 14564010
  22. Predicting gene expression from sequence.
    Cell. 2004 Apr 16;117(2):185-98 PMID: 15084257
  23. Correlation between the abundance of yeast transfer RNAs and the occurrence of the respective codons in protein genes. Differences in synonymous codon choice patterns of yeast and Escherichia coli with reference to the abundance of isoaccepting transfer RNAs.
    J Mol Biol. 1982 Jul 15;158(4):573-97 PMID: 6750137
  24. The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.
    Nucleic Acids Res. 1987 Feb 11;15(3):1281-95 PMID: 3547335
  25. Correlation of co-ordinated amino acid substitutions with function in viruses related to tobacco mosaic virus.
    J Mol Biol. 1987 Feb 20;193(4):693-707 PMID: 3612789
  26. Co-evolution of ligand-receptor pairs.
    Nature. 1994 Mar 17;368(6468):251-5 PMID: 8145825
  27. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
    Nucleic Acids Res. 1994 Nov 11;22(22):4673-80 PMID: 7984417
  28. Life with 6000 genes.
    Science. 1996 Oct 25;274(5287):546, 563-7 PMID: 8849441
  29. Correlated mutations contain information about protein-protein interaction.
    J Mol Biol. 1997 Aug 29;271(4):511-23 PMID: 9281423
  30. PAML: a program package for phylogenetic analysis by maximum likelihood.
    Comput Appl Biosci. 1997 Oct;13(5):555-6 PMID: 9367129
  31. Conservation of gene order: a fingerprint of proteins that physically interact.
    Trends Biochem Sci. 1998 Sep;23(9):324-8 PMID: 9787636
  32. Cluster analysis and display of genome-wide expression patterns.
    Proc Natl Acad Sci U S A. 1998 Dec 8;95(25):14863-8 PMID: 9843981
  33. Assigning protein functions by comparative genome analysis: protein phylogenetic profiles.
    Proc Natl Acad Sci U S A. 1999 Apr 13;96(8):4285-8 PMID: 10200254
  34. Co-evolution of proteins with their interaction partners.
    J Mol Biol. 2000 Jun 2;299(2):283-93 PMID: 10860738
Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
Published
2004-06-15
Epub
2004-00-02
Pages
9033-8
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC439012
Subset
IM
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