Relative predicted protein levels of functionally associated proteins are conserved across organisms.
We show that the predicted protein levels of functionally related proteins change in a coordinated fashion over many unicellular organisms. For each protein, we created a profile containing a protein abundance measure in each of a set of organisms. We show that for functionally related proteins these profiles tend to be correlated. Using the Codon Adaptation Index as a predictor of protein abundance in 48 unicellular organisms, we demonstrated this phenomenon for two types of functional relations: for proteins that physically interact and for proteins involved in consecutive steps within a metabolic pathway. Our results suggest that the protein abundance levels of functionally related proteins co-evolve.
Lithwick
Gila
G
Department of Molecular Genetics and Biotechnology, The Faculty of Medicine, The Hebrew University Jerusalem 91120, Israel.
Margalit
Hanah
H
D019843:Archaeal Proteins / Q000032:analysis / Q000235:genetics / Q000378:metabolism; D001426:Bacterial Proteins / Q000032:analysis / Q000235:genetics / Q000378:metabolism; D003062:Codon; D030541:Databases, Genetic; D019143:Evolution, Molecular; D005656:Fungal Proteins / Q000032:analysis / Q000235:genetics / Q000378:metabolism; D023281:Genomics / Q000379:methods; D011506:Proteins / Q000032:analysis* / Q000235:genetics / Q000378:metabolism
D019843:Archaeal Proteins; D001426:Bacterial Proteins; D003062:Codon; D005656:Fungal Proteins; D011506:Proteins
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