tetano
Editor, Senior Moderator
Proc Biol Sci. 2014 Jul 7;281(1786). pii: 20132763. doi: 10.1098/rspb.2013.2763.
A genotype network reveals homoplastic cycles of convergent evolution in influenza A (H3N2) haemagglutinin.
Wagner A.
Author information
Abstract
Networks of evolving genotypes can be constructed from the worldwide time-resolved genotyping of pathogens like influenza viruses. Such genotype networks are graphs where neighbouring vertices (viral strains) differ in a single nucleotide or amino acid. A rich trove of network analysis methods can help understand the evolutionary dynamics reflected in the structure of these networks. Here, I analyse a genotype network comprising hundreds of influenza A (H3N2) haemagglutinin genes. The network is rife with cycles that reflect non-random parallel or convergent (homoplastic) evolution. These cycles also show patterns of sequence change characteristic for strong and local evolutionary constraints, positive selection and mutation-limited evolution. Such cycles would not be visible on a phylogenetic tree, illustrating that genotype network analysis can complement phylogenetic analyses. The network also shows a distinct modular or community structure that reflects temporal more than spatial proximity of viral strains, where lowly connected bridge strains connect different modules. These and other organizational patterns illustrate that genotype networks can help us study evolution in action at an unprecedented level of resolution.
? 2014 The Author(s) Published by the Royal Society. All rights reserved.
KEYWORDS:
cycles, evolution, homoplasy, influenza, networks
PMID:
24827434
[PubMed - in process]
Free full text
http://www.ncbi.nlm.nih.gov/pubmed/24827434
A genotype network reveals homoplastic cycles of convergent evolution in influenza A (H3N2) haemagglutinin.
Wagner A.
Author information
Abstract
Networks of evolving genotypes can be constructed from the worldwide time-resolved genotyping of pathogens like influenza viruses. Such genotype networks are graphs where neighbouring vertices (viral strains) differ in a single nucleotide or amino acid. A rich trove of network analysis methods can help understand the evolutionary dynamics reflected in the structure of these networks. Here, I analyse a genotype network comprising hundreds of influenza A (H3N2) haemagglutinin genes. The network is rife with cycles that reflect non-random parallel or convergent (homoplastic) evolution. These cycles also show patterns of sequence change characteristic for strong and local evolutionary constraints, positive selection and mutation-limited evolution. Such cycles would not be visible on a phylogenetic tree, illustrating that genotype network analysis can complement phylogenetic analyses. The network also shows a distinct modular or community structure that reflects temporal more than spatial proximity of viral strains, where lowly connected bridge strains connect different modules. These and other organizational patterns illustrate that genotype networks can help us study evolution in action at an unprecedented level of resolution.
? 2014 The Author(s) Published by the Royal Society. All rights reserved.
KEYWORDS:
cycles, evolution, homoplasy, influenza, networks
PMID:
24827434
[PubMed - in process]
Free full text
http://www.ncbi.nlm.nih.gov/pubmed/24827434