Phylogenetics and
virus evolution


Trevor Bedford (@trvrb)
Oct 24, 2019
MCB532 Human Pathogenic Viruses

Phylogeny describes evolutionary relationships

Phylogeny is usually a hypothesis based on characteristics of sampled taxa

Phylogeny implies a series of mutational events leading to observed tip states

Phylogenetic inference

"Data" is generally a sequence alignment

Phylogeny structures site patterns

Tree space is vast

There are (2n-3)!! rooted trees for n taxa

  • 3 taxa: 3 trees
  • 5 taxa: 105 trees
  • 10 taxa: 34,459,425 trees
  • 20 taxa: 8.2 × 1021 trees
  • 50 taxa: 2.8 × 1076 trees
  • 100 taxa: 3.3 × 10184 trees

Solution space is rugged

Types of phylogenetic inference methods

  • Distance-based (neighbor-joining, fast, heuristic)
  • Parsimony (fast, "model-free")
  • Maximum likelihood (infers model of mutation, accurate, examples: FastTree, RAxML)
  • Bayesian (like ML, but requires prior, produces estimates of uncertainty, examples: MrBayes, BEAST)

Inference is a tree topology, branch lengths and ancestral states

Molecular clocks and dated phylogenies

Mutations tend to accumulate in a clock-like fashion

"Root-to-tip" plots show temporal signal

Allows conversion between branch length and time

Dated phylogenies provide real-world context

Inference of discrete traits

"Data" is a phylogeny and tip states

States include nucleotides, amino acids, geo locations, hosts, etc...

Model infers transition matrix and ancestral states

Rare transitions, short branches and many taxa increase confidence

Phylogeography

Nesting patterns are informative

Zika phylogeny infers an origin in northeast Brazil

Influenza phylogeny shows repeated spread from E-SE Asia

Influenza transitions mirror air travel network

Ebola phylogeny shows frequent migration events

Reservoir species and host jumps

MERS-CoV has frequent spillover events, but limited human-to-human transmission

Reassortment and recombination

Influenza B reassorts across segments

Reassortment splits gene constellations

Abundant recombination during within-host HIV evolution

Linkage disequilibrium decays with physical distance

Summary

  • Phylogenetics uses sequence data to infer trees along with ancestral states
  • Molecular clocks provide a real-world context to evolutionary events
  • Phylogeny reveals behavior of discrete traits, like geographic location and host state
  • Reassortment / recombination results in non-tree-like evolutionary relationships