title: The utility of protein structure as a predictor of site-wise dN/dS varies widely among HIV-1 proteins.
abstract: Protein structure acts as a general constraint on the evolution of viral proteins. One widely recognized structural constraint explaining evolutionary variation among sites is the relative solvent accessibility (RSA) of residues in the folded protein. In influenza virus, the distance from functional sites has been found to explain an additional portion of the evolutionary variation in the external antigenic proteins. However, to what extent RSA and distance from a reference site in the protein can be used more generally to explain protein adaptation in other viruses and in the different proteins of any given virus remains an open question. To address this question, we have carried out an analysis of the distribution and structural predictors of site-wise dN/dS in HIV-1. Our results indicate that the distribution of dN/dS in HIV follows a smooth gamma distribution, with no special enrichment or depletion of sites with dN/dS at or above one. The variation in dN/dS can be partially explained by RSA and distance from a reference site in the protein, but these structural constraints do not act uniformly among the different HIV-1 proteins. Structural constraints are highly predictive in just one of the three enzymes and one of three structural proteins in HIV-1. For these two proteins, the protease enzyme and the gp120 structural protein, structure explains between 30 and 40% of the variation in dN/dS. Finally, for the gp120 protein of the receptor-binding complex, we also find that glycosylation sites explain just 2% of the variation in dN/dS and do not explain gp120 evolution independently of either RSA or distance from the apical surface.
authors.affiliation: Department of Integrative Biology, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX, USA School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA austin.meyer@utexas.edu.
authors.forename: Austin G
authors.initials: AG
authors.lastname: Meyer
authors.affiliation: Department of Integrative Biology, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX, USA.
authors.forename: Claus O
authors.initials: CO
authors.lastname: Wilke
mesh_terms: D002213:Capsid / Q000737:chemistry; D003062:Codon; D019295:Computational Biology; D003198:Computer Simulation; D019143:Evolution, Molecular; D014644:Genetic Variation; D006031:Glycosylation; D015699:HIV Envelope Protein gp120 / Q000737:chemistry*; D015497:HIV-1 / Q000737:chemistry / Q000235:genetics*; D011485:Protein Binding; D011487:Protein Conformation; D017510:Protein Folding; D055503:Protein Multimerization; D012044:Regression Analysis; D012997:Solvents / Q000737:chemistry
chemical_list: D003062:Codon; D015699:HIV Envelope Protein gp120; D012997:Solvents; C514793:gp120 protein, Human immunodeficiency virus 1
keywords: HIV; dN/dS; molecular evolution; proteins; viruses