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Lecture 3: Overview of phylogenetic comparisons

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Title: Lecture 3: Overview of phylogenetic comparisons


1
Lecture 3Overview of phylogenetic comparisons
tree-building
2
Phylogenetic trees
  • Definition a tree showing evolutionary
    relationships among various biological species or
    other entities that are believed to share a
    common ancestor.
  • Features
  • Nodes represent most recent common ancestor of
    the descendants
  • Branches may correspond to time estimates or
    character substitutions
  • Rooted contains a unique node corresponding to a
    shared common ancestor
  • Unrooted illustrates relatedness of leaf nodes
    without assumptions of common ancestry

3
An example
  • Tree constructed using neighbor joining
  • Scale bar corresponds to substitutions per
    nucleotide position
  • A variety of Alphaproteobacteria sequences were
    used as outgroups
  • Closed circles represent gt 90 and open circles
    gt 70 bootstrap support

Giovannoni et al. 2008
4
Neighbor Joining
  • A method used for DNA or protein based trees
  • Algorithm requires a distance matrix
  • Joins taxa together with similar distance (joins
    the closest neighbors)
  • Based on the minimum-evolution criterion, i.e.
    topology providing the least total branch length
    is preferred at each step of the algorithm
  • Does not assume all lineages evolve at the same
    rate (no molecular clock assumption)
  • Computationally efficient
  • Con Trees are often close to optimum, but may
    not be most accurate

5
ARB distance treeing methods
  • ARB Neighbor Joining
  • Phylip Distance Methods
  • Neighbor joining
  • UPGMA (average linking clustering)
  • Fitch (additive tree model)
  • Kitsch (similar to Fitch but assumes molecular
    clock)

Phylip (PHYLogeny Inference Package)
resources http//evolution.genetics.washington.ed
u/phylip.html
6
Maximum Likelihood
  • The method searches for the tree with the highest
    probability or likelihood.
  • It evaluates a hypothesis about evolutionary
    history in terms of the probability that the
    proposed model and the hypothesised history would
    give rise to the observed data set.
  • Statistically well-founded method
  • Uses all of the sequence information
  • Con requires lots of computational power

7
ARB Maximum Likelihood methods
  • FastdnaML computationally slow
  • AxML (axelerated maximum likelihood for high
    performance computing) - computationally fast
  • RAxML (randomized axelerated maximum likelihood
    for high performance computing) faster yet but
    problematic in ARB
  • PHYML DNA
  • TREE-PUZZLE (quartet puzzling tree)
  • PHYML - Amino acids
  • Phylip PROML
  • Protein_ML

8
Maximum Parsimony
  • Non-parametric statistical method for estimating
    phylogenies
  • Preferred phylogenetic tree is the tree requiring
    the least evolutionary change to explain the data
  • Con Not statistically consistent

9
ARB Maximum parsimony methods
  • Phylip DNAPARS
  • Phylip PROTPARS

Phylip (PHYLogeny Inference Package)
resources http//evolution.genetics.washington.ed
u/phylip.html
10
Bootstrapping
  • A statistical re-sampling procedure commonly used
    for providing confidence to branches in
    phylogenetic trees
  • A measure of repeatability, the probability that
    the branch would be recovered if the taxa were
    sampled again
  • Bootstrap percentages are biased, usually towards
    an underestimate of confidence (70 might
    actually represent 95)
  • Bootstrapping values are typically presented from
    1000 repeated calculations

11
Tutorial 3 objectives
  • Add aligned sequences to the ARB database tree
  • Refine sequence alignments
  • Create a phylogenetic tree in ARB
  • Export trees from ARB
  • Create trees from web-based resources (RAxML tree)
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