Literature DB >> 18647721

Directionality in the evolution of influenza A haemagglutinin.

Sergey Kryazhimskiy1, Georgii A Bazykin, Joshua B Plotkin, Joshua Plotkin, Jonathan Dushoff.   

Abstract

The evolution of haemagglutinin (HA), an important influenza virus antigen, has been the subject of intensive research for more than two decades. Many characteristics of HA's sequence evolution are captured by standard Markov chain substitution models. Such models assign equal fitness to all accessible amino acids at a site. We show, however, that such models strongly underestimate the number of homoplastic amino acid substitutions during the course of HA's evolution, i.e. substitutions that repeatedly give rise to the same amino acid at a site. We develop statistics to detect individual homoplastic events and find that they preferentially occur at positively selected epitopic sites. Our results suggest that the evolution of the influenza A HA, including evolution by positive selection, is strongly affected by the long-term site-specific preferences for individual amino acids.

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Year:  2008        PMID: 18647721      PMCID: PMC2603193          DOI: 10.1098/rspb.2008.0521

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  55 in total

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Journal:  Genetics       Date:  1998-03       Impact factor: 4.562

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  16 in total

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Review 2.  Changing preferences: deformation of single position amino acid fitness landscapes and evolution of proteins.

Authors:  Georgii A Bazykin
Journal:  Biol Lett       Date:  2015-10       Impact factor: 3.703

Review 3.  Models of coding sequence evolution.

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4.  Detecting genetic interactions using parallel evolution in experimental populations.

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5.  A genotype network reveals homoplastic cycles of convergent evolution in influenza A (H3N2) haemagglutinin.

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Journal:  Proc Biol Sci       Date:  2014-07-07       Impact factor: 5.349

6.  Integrating sequence variation and protein structure to identify sites under selection.

Authors:  Austin G Meyer; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2012-09-12       Impact factor: 16.240

Review 7.  The role of genomics in tracking the evolution of influenza A virus.

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8.  Evolution: like any other science it is predictable.

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10.  Components of selection in the evolution of the influenza virus: linkage effects beat inherent selection.

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