title: Species-specific protein sequence and fold optimizations.
abstract: BACKGROUND
  An organism's ability to adapt to its particular environmental niche is of fundamental importance to its survival and proliferation. In the largest study of its kind, we sought to identify and exploit the amino-acid signatures that make species-specific protein adaptation possible across 100 complete genomes.
  
  
  RESULTS
  Environmental niche was determined to be a significant factor in variability from correspondence analysis using the amino acid composition of over 360,000 predicted open reading frames (ORFs) from 17 archaea, 76 bacteria and 7 eukaryote complete genomes. Additionally, we found clusters of phylogenetically unrelated archaea and bacteria that share similar environments by amino acid composition clustering. Composition analyses of conservative, domain-based homology modeling suggested an enrichment of small hydrophobic residues Ala, Gly, Val and charged residues Asp, Glu, His and Arg across all genomes. However, larger aromatic residues Phe, Trp and Tyr are reduced in folds, and these results were not affected by low complexity biases. We derived two simple log-odds scoring functions from ORFs (CG) and folds (CF) for each of the complete genomes. CF achieved an average cross-validation success rate of 85 +/- 8% whereas the CG detected 73 +/- 9% species-specific sequences when competing against all other non-redundant CG. Continuously updated results are available at http://genome.mshri.on.ca.
  
  
  CONCLUSIONS
  Our analysis of amino acid compositions from the complete genomes provides stronger evidence for species-specific and environmental residue preferences in genomic sequences as well as in folds. Scoring functions derived from this work will be useful in future protein engineering experiments and possibly in identifying horizontal transfer events.
authors.affiliation: Department of Biochemistry, University of Toronto, Toronto, Ontario, M5S 1A8, Canada. micheld@mshri.on.ca
authors.forename: Michel
authors.initials: M
authors.lastname: Dumontier
authors.forename: Katerina
authors.initials: K
authors.lastname: Michalickova
authors.forename: Christopher W V
authors.initials: CW
authors.lastname: Hogue
mesh_terms: D000222:Adaptation, Physiological / Q000235:genetics; D000818:Animals; D019843:Archaeal Proteins / Q000737:chemistry / Q000235:genetics; D001426:Bacterial Proteins / Q000737:chemistry / Q000235:genetics; D029742:Caenorhabditis elegans Proteins / Q000737:chemistry / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D005656:Fungal Proteins / Q000737:chemistry / Q000235:genetics; D016678:Genome; D020745:Genome, Archaeal; D016680:Genome, Bacterial; D016681:Genome, Fungal; D015894:Genome, Human; D006801:Humans; D011237:Predictive Value of Tests; D017510:Protein Folding; D017433:Protein Structure, Secondary / Q000235:genetics; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D020543:Proteome / Q000737:chemistry / Q000235:genetics; D040901:Proteomics / Q000379:methods; D013045:Species Specificity
chemical_list: D019843:Archaeal Proteins; D001426:Bacterial Proteins; D029742:Caenorhabditis elegans Proteins; D005656:Fungal Proteins; D011506:Proteins; D020543:Proteome