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The Importance of Method:
Lots of Phylogenetic
Signal, Lots of Problems
Liliana M. Dávalos, Paúl M. Velazco, Eliécer E. Gutiérrez
0.8 units
knowlesi
vivax
falciparumreichenowi
gallinaceum
berghei
chabaudiyoelii
Base composition provides signal
Dávalos & Perkins 2008 Genomics
Agnarsson et al. 2011

PLoS Currents ToL
Original data
Some positions extremely saturated
• NJ log-det distances

• Bayesian mixture or cat

• ML model by site

• ML recode 3rd pos to RY

• ML recode RY to binary

• ML codon model

• ML protein model
Phylogenetic
methods
Dávalos, Cirranello et al. 2012 Biol Rev
Which method performs best?
monophyly ~ αclade + βphylogenetic method
phylogenetic method is observed across clades
(i.e., each clade has 8 observations of monophyly)
Which clade characteristics affect inference?
αclade ~ μall clades + βvariable+ εclade + ∑
variable is observed by clade (i.e., clade size,
base composition heterogeneity, saturation)
Yohe et al. 2015 Biol Lett
• Don’t ignore
heterogeneous base
composition

• Always test before
inferring

• Even within
families

• Not all methods
equal, choose
appropriately
Conclusions
Photo by B. Patterson
Thanks!

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Importance of method

  • 1. The Importance of Method: Lots of Phylogenetic Signal, Lots of Problems Liliana M. Dávalos, Paúl M. Velazco, Eliécer E. Gutiérrez
  • 3. Agnarsson et al. 2011 PLoS Currents ToL
  • 4. Original data Some positions extremely saturated
  • 5.
  • 6. • NJ log-det distances • Bayesian mixture or cat • ML model by site • ML recode 3rd pos to RY • ML recode RY to binary • ML codon model • ML protein model Phylogenetic methods Dávalos, Cirranello et al. 2012 Biol Rev
  • 7.
  • 8. Which method performs best? monophyly ~ αclade + βphylogenetic method phylogenetic method is observed across clades (i.e., each clade has 8 observations of monophyly) Which clade characteristics affect inference? αclade ~ μall clades + βvariable+ εclade + ∑ variable is observed by clade (i.e., clade size, base composition heterogeneity, saturation) Yohe et al. 2015 Biol Lett
  • 9.
  • 10.
  • 11.
  • 12. • Don’t ignore heterogeneous base composition • Always test before inferring • Even within families • Not all methods equal, choose appropriately Conclusions Photo by B. Patterson