Literature DB >> 23382434

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

Austin G Meyer1, Eric T Dawson, Claus O Wilke.   

Abstract

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.

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Year:  2013        PMID: 23382434      PMCID: PMC3678335          DOI: 10.1098/rstb.2012.0334

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  34 in total

1.  Predicting the evolution of human influenza A.

Authors:  R M Bush; C A Bender; K Subbarao; N J Cox; W M Fitch
Journal:  Science       Date:  1999-12-03       Impact factor: 47.728

2.  Codon-substitution models for heterogeneous selection pressure at amino acid sites.

Authors:  Z Yang; R Nielsen; N Goldman; A M Pedersen
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

3.  Maximum likelihood estimation on large phylogenies and analysis of adaptive evolution in human influenza virus A.

Authors:  Z Yang
Journal:  J Mol Evol       Date:  2000-11       Impact factor: 2.395

4.  Early alterations of the receptor-binding properties of H1, H2, and H3 avian influenza virus hemagglutinins after their introduction into mammals.

Authors:  M Matrosovich; A Tuzikov; N Bovin; A Gambaryan; A Klimov; M R Castrucci; I Donatelli; Y Kawaoka
Journal:  J Virol       Date:  2000-09       Impact factor: 5.103

5.  The pattern of amino acid replacements in alpha/beta-barrels.

Authors:  Antony M Dean; Claudia Neuhauser; Elise Grenier; G Brian Golding
Journal:  Mol Biol Evol       Date:  2002-11       Impact factor: 16.240

6.  MUSCLE: multiple sequence alignment with high accuracy and high throughput.

Authors:  Robert C Edgar
Journal:  Nucleic Acids Res       Date:  2004-03-19       Impact factor: 16.971

7.  Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features.

Authors:  W Kabsch; C Sander
Journal:  Biopolymers       Date:  1983-12       Impact factor: 2.505

8.  A codon-based model of nucleotide substitution for protein-coding DNA sequences.

Authors:  N Goldman; Z Yang
Journal:  Mol Biol Evol       Date:  1994-09       Impact factor: 16.240

9.  Structure of the uncleaved human H1 hemagglutinin from the extinct 1918 influenza virus.

Authors:  James Stevens; Adam L Corper; Christopher F Basler; Jeffery K Taubenberger; Peter Palese; Ian A Wilson
Journal:  Science       Date:  2004-02-05       Impact factor: 47.728

10.  Modeling coding-sequence evolution within the context of residue solvent accessibility.

Authors:  Michael P Scherrer; Austin G Meyer; Claus O Wilke
Journal:  BMC Evol Biol       Date:  2012-09-12       Impact factor: 3.260

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  18 in total

1.  The relationship between dN/dS and scaled selection coefficients.

Authors:  Stephanie J Spielman; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2015-01-08       Impact factor: 16.240

2.  A predictive fitness model for influenza.

Authors:  Marta Luksza; Michael Lässig
Journal:  Nature       Date:  2014-02-26       Impact factor: 49.962

3.  The utility of protein structure as a predictor of site-wise dN/dS varies widely among HIV-1 proteins.

Authors:  Austin G Meyer; Claus O Wilke
Journal:  J R Soc Interface       Date:  2015-10-06       Impact factor: 4.118

4.  Calculating site-specific evolutionary rates at the amino-acid or codon level yields similar rate estimates.

Authors:  Dariya K Sydykova; Claus O Wilke
Journal:  PeerJ       Date:  2017-05-30       Impact factor: 2.984

5.  Predicting evolutionary site variability from structure in viral proteins: buriedness, packing, flexibility, and design.

Authors:  Amir Shahmoradi; Dariya K Sydykova; Stephanie J Spielman; Eleisha L Jackson; Eric T Dawson; Austin G Meyer; Claus O Wilke
Journal:  J Mol Evol       Date:  2014-09-13       Impact factor: 2.395

Review 6.  Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology.

Authors:  Dylan H Morris; Katelyn M Gostic; Simone Pompei; Trevor Bedford; Marta Łuksza; Richard A Neher; Bryan T Grenfell; Michael Lässig; John W McCauley
Journal:  Trends Microbiol       Date:  2017-10-30       Impact factor: 17.079

7.  Evolutionary epidemiology: preparing for an age of genomic plenty.

Authors:  O G Pybus; C Fraser; A Rambaut
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-02-04       Impact factor: 6.237

8.  Functional Constraint Profiling of a Viral Protein Reveals Discordance of Evolutionary Conservation and Functionality.

Authors:  Nicholas C Wu; C Anders Olson; Yushen Du; Shuai Le; Kevin Tran; Roland Remenyi; Danyang Gong; Laith Q Al-Mawsawi; Hangfei Qi; Ting-Ting Wu; Ren Sun
Journal:  PLoS Genet       Date:  2015-07-01       Impact factor: 5.917

9.  Geometric Constraints Dominate the Antigenic Evolution of Influenza H3N2 Hemagglutinin.

Authors:  Austin G Meyer; Claus O Wilke
Journal:  PLoS Pathog       Date:  2015-05-28       Impact factor: 6.823

10.  Dissecting the roles of local packing density and longer-range effects in protein sequence evolution.

Authors:  Amir Shahmoradi; Claus O Wilke
Journal:  Proteins       Date:  2016-04-09
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