Cross-species comparison of site-specific evolutionary-rate variation in influenza haemagglutinin

We investigate the causes of site-specific evolutionary-rate variation in influenza haemagglutinin (HA) between human and avian influenza, for subtypes H1, H3, and H5. By calculating the evolutionary-rate ratio, ω = dN/dS as a function of a residue's solvent accessibility in the three-dimensional protein structure, we show that solvent accessibility has a significant but relatively modest effect on site-specific rate variation. By comparing rates within HA subtypes among host species, we derive an upper limit to the amount of variation that can be explained by structural constraints of any kind. Protein structure explains only 20–40% of the variation in ω. Finally, by comparing ω at sites near the sialic-acid-binding region to ω at other sites, we show that ω near the sialic-acid-binding region is significantly elevated in both human and avian influenza, with the exception of avian H5. We conclude that protein structure, HA subtype, and host biology all impose distinct selection pressures on sites in influenza HA.

[1]  Rahul Raman,et al.  Hemagglutinin Receptor Binding Avidity Drives Influenza A Virus Antigenic Drift , 2009, Science.

[2]  David R. Anderson,et al.  Multimodel Inference , 2004 .

[3]  Ziheng Yang Maximum Likelihood Estimation on Large Phylogenies and Analysis of Adaptive Evolution in Human Influenza Virus A , 2000, Journal of Molecular Evolution.

[4]  E. Holmes,et al.  Rates of evolutionary change in viruses: patterns and determinants , 2008, Nature Reviews Genetics.

[5]  David C. Jones,et al.  Combining protein evolution and secondary structure. , 1996, Molecular biology and evolution.

[6]  Frances H Arnold,et al.  Structural determinants of the rate of protein evolution in yeast. , 2006, Molecular biology and evolution.

[7]  H. Akaike A new look at the statistical model identification , 1974 .

[8]  Sergei L. Kosakovsky Pond,et al.  Not so different after all: a comparison of methods for detecting amino acid sites under selection. , 2005, Molecular biology and evolution.

[9]  Yu Xia,et al.  Structural determinants of protein evolution are context-sensitive at the residue level. , 2009, Molecular biology and evolution.

[10]  Claudia Neuhauser,et al.  The Pattern of Amino Acid Replacements in α/β-Barrels , 2002 .

[11]  Robert C. Edgar,et al.  MUSCLE: multiple sequence alignment with high accuracy and high throughput. , 2004, Nucleic acids research.

[12]  S. Teneberg,et al.  Avian influenza A viruses differ from human viruses by recognition of sialyloligosaccharides and gangliosides and by a higher conservation of the HA receptor-binding site. , 1997, Virology.

[13]  Claus O Wilke,et al.  Integrating sequence variation and protein structure to identify sites under selection. , 2013, Molecular biology and evolution.

[14]  N. Goldman,et al.  A codon-based model of nucleotide substitution for protein-coding DNA sequences. , 1994, Molecular biology and evolution.

[15]  Yoshihiro Kawaoka,et al.  Early Alterations of the Receptor-Binding Properties of H1, H2, and H3 Avian Influenza Virus Hemagglutinins after Their Introduction into Mammals , 2000, Journal of Virology.

[16]  Andrew Rambaut,et al.  Evolutionary analysis of the dynamics of viral infectious disease , 2009, Nature Reviews Genetics.

[17]  Ian A. Wilson,et al.  Structure of the Uncleaved Human H1 Hemagglutinin from the Extinct 1918 Influenza Virus , 2004, Science.

[18]  Richard A. Goldstein,et al.  Identifying Changes in Selective Constraints: Host Shifts in Influenza , 2009, PLoS Comput. Biol..

[19]  Johan A. Grahnen,et al.  Biophysical and structural considerations for protein sequence evolution , 2011, BMC Evolutionary Biology.

[20]  Yoshiyuki Suzuki,et al.  Natural selection on the influenza virus genome. , 2006, Molecular biology and evolution.

[21]  D. Hartl,et al.  Solvent accessibility and purifying selection within proteins of Escherichia coli and Salmonella enterica. , 2000, Molecular biology and evolution.

[22]  R. Nielsen,et al.  Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene. , 1998, Genetics.

[23]  Sergei L. Kosakovsky Pond,et al.  A maximum likelihood method for detecting directional evolution in protein sequences and its application to influenza A virus. , 2008, Molecular biology and evolution.

[24]  W. Kabsch,et al.  Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.

[25]  Alexandros Stamatakis,et al.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models , 2006, Bioinform..

[26]  David C. Jones,et al.  Assessing the impact of secondary structure and solvent accessibility on protein evolution. , 1998, Genetics.

[27]  W. Fitch,et al.  Predicting the evolution of human influenza A. , 1999, Science.

[28]  Sergei L. Kosakovsky Pond,et al.  HyPhy: hypothesis testing using phylogenies , 2005, Bioinform..

[29]  N. Goldman,et al.  Codon-substitution models for heterogeneous selection pressure at amino acid sites. , 2000, Genetics.

[30]  Richard H Scheuermann,et al.  Influenza Research Database: an integrated bioinformatics resource for influenza research and surveillance , 2012, Influenza and other respiratory viruses.

[31]  Surender Khurana,et al.  Broadly neutralizing human antibody that recognizes the receptor-binding pocket of influenza virus hemagglutinin , 2011, Proceedings of the National Academy of Sciences.

[32]  Timothy Cardozo,et al.  Structure–function relationships of HIV-1 envelope sequence-variable regions refocus vaccine design , 2010, Nature Reviews Immunology.

[33]  Claus O Wilke,et al.  Modeling coding-sequence evolution within the context of residue solvent accessibility , 2012, BMC Evolutionary Biology.

[34]  L. Mirny,et al.  Universally conserved positions in protein folds: reading evolutionary signals about stability, folding kinetics and function. , 1999, Journal of molecular biology.

[35]  Samir Bhatt,et al.  The genomic rate of molecular adaptation of the human influenza A virus. , 2011, Molecular biology and evolution.

[36]  A. Hobolth,et al.  Quantifying the impact of protein tertiary structure on molecular evolution. , 2007, Molecular biology and evolution.

[37]  C. Neuhauser,et al.  The Pattern of Amino Acid Replacements in a / b-Barrels , 2002 .