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RECONSTRUCTING EVOLUTIONARY TREES

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Title: RECONSTRUCTING EVOLUTIONARY TREES


1
RECONSTRUCTING EVOLUTIONARY TREES
0
2
Phylogeny
0
  • Evolutionary history of a group
  • must be inferred indirectly from data
  • we do not have any direct knowledge about any
    evolutionary histories

3
Terminology
0
  • Phylogenetics-
  • Study of the history of the evolution of a
    species or other taxon
  • Phylogeny-
  • The ancestral history of a species
  • Phylogenetic tree
  • A diagram which shows the ancestry and descent
    of a group of species

4
Terminology
0
  • Pleisiomorphy-
  • an ancestral character trait also called
    relictual
  • Sympleisiomorphy
  • shared ancestral traits
  • Apomorphy
  • a derived or descendant character trait
  • Synapomorphy
  • shared derived traits used to reveal evolutionary
    relationships

5
Terminology
0
  • Cladistics-
  • A classification scheme based on the possible
    ancestral relationships in a group which was
    built using relationships inferred by the
    presence of synapomorphies
  • Cladogram
  • a phylogenetic tree based on synapomorphies.
  • Phenetics-
  • classification scheme based on grouping
    populations according to their similarities. No
    attempt is made to determine the derived vs.
    Primitive state of the characters, thus no clear
    reflection of the ancestral history is implied.

6
Synapomorphies
0
  • Synapomorphies are the result of genetic
    divergence from an ancestral species
  • Are homologous because they derive from a common
    ancestor
  • Must be independent and not correlated with other
    traits (linkage equilibrium)
  • Synapomorphies help to define closely related
    groups.

7
Synapomorphies cont.
0
Two key elements of synapomorphies which allow
the assumption of evolutionary relationships
  • Synapomorphies represent evolutionary branch
    points
  • Each branch point on a cladogram represents at
    least one (possibly more) derived trait has
    arisen
  • Synapomorphies are nested
  • Figure 4.2 Page 113

8
Cladograms
0
  • A phylogenetic tree constructed by clustering
    synapomorphies
  • Synapomorphies identify evolutionary branch
    points
  • At a branch point, lineages begin evolving
    independently
  • Synapomorphies are nested so when moving from the
    tip of a phylogenetic tree back towards the root,
    each branch represents a new synapomorphy
  • Synapomorphies are indicated by bars across
    branches Figure 4.3

9
Examples of Synapomorphies
0
  • Feathers are found in all birds because they were
    derived from a simpler structure in their common
    dinosaur ancestor.
  • Within the birds, the passerine group all share a
    3 plus 1 toe arrangement which this group shares
    as a synapomorphy from the 2 plus 2 arrangement
    in their common ancestor

10
Bird example
0
  • Synapomorphies can be identified at any taxonomic
    level
  • A given series of synapomorphies can be used to
    define phylogenetic relationships
  • for example, in birds, synapomorphies can be used
    to identify trends in the changes in forelimbs,
    hind limbs, breastbones, tail, and pelvis
  • Example

11
Identifying Synapomorphies
0
  • Not an easy task
  • Need to first establish homology of the trait
    within the group of interest.
  • Accomplished by documenting and correlating
    structural, genetic and developmental
    similarities
  • Must be able to deduce the direction of change
    through time.
  • Which is the ancestral character state and which
    is the derived character state.
  • This happens through outgroup comparison

12
Outgroups
  • Use outgroup a close relative that branched off
    earlier.
  • identifying an outgroup can be challenging. It
    requires
  • information from other phylogenies to suggest
    relationship between the groups
  • Fossil record confirmation that the proposed
    outgroup is older (to be sure that the outgroup
    is more ancestral and therefore has the ancestral
    form of the trait of interest).

13
If you can identify group I-L as being related
through a distant ancestor ( ) Then this can
be your outgroup.
If A-H represent the phylogenetic group you are
proposing then
14
Terminology
0
  • Homoplasy- information which may cause
    misinterpretation of information about the
    evolutionary history of an organism.
  • Examples
  • Convergent evolution similarity between species
    that is due to
  • a character trait arising on 2 or more separate
    occasions in evolutionary history.
  • These traits are analogous may carry out similar
    functions but
  • The origin of their structure is along different
    evolutionary pathways.
  • This type of evolution is also referred to as
    parallel evolution
  • You are already familiar with the wings of
    insects, birds and bats are the result of
    convergent evolution
  • Other examples

15
Homoplasy cont
0
Reversals- Traits which have reverted back to an
ancestral form from a derived state.
p. 116
  • Mistakes due to homoplasy can be minimized by
  • Choosing characters that evolve slowly relative
    to the age of the group
  • Using characters that do not commonly show
    reversals or convergence
  • If reversals are found they do not qualify as
    synapomorphies

16
How to identify homoplasy
  • Use multiple synapomorphies and traits in
    identifying groups.
  • Follow the rule of parsimony which says that the
    fewest number of changes needed to explain the
    evolutionary relationships is most likely the
    correct one. Example
  • Also, often careful analysis of the structure
    itself usually reveals differences at a cellular
    or microscopic level.
  • Most often, however, we do not have
  • the material or
  • the ancestral history needed to identify
    Homoplasy
  • so most cladistic datasets do contain hidden
    homoplasious information.

17
Principles for constructing a phylogenetic
treeUsing parsimony to resolve conflicts in data
sets
0
  • Look at homologous traits across a group of
    species
  • The characteristics of traits which can be used
    for scoring individuals are
  • - Those that are variable among the taxa being
    studied
  • - Those that are heritable
  • - Characters must all be independent of one
    another
  • - Use traits that are similar between groups
    studied because this indicates a common ancestor
  • Use Parsimony

18
Why using parsimony is valid
  • Usually valid to assume that reversals and
    convergences are rare relative to similarities
    when coming from a common ancestral form
  • Reversals and convergences always require
    multiple steps and so will lead to more steps in
    a cladistic analysis
  • So Homoplasious trees will not normally be the
    most parsimonious trees derived.

19
However
0
  • Some homoplasy is almost always evident in
    evolutionary history
  • this means there are several ways that a
    cladogram may be constructed
  • The accepted cladogram will be the one that has
    the most support from several different possible
    treatments of the data

20
Relationships found in cladograms
0
  • Monophyletic A group which contains a common
    ancestor and ALL of its descendants
  • Paraphyletic Groupings which include some but
    not all descendants of a common ancestor.
  • Polyphyletic- grouping ignores ancestry just
    groups them based on similar traits
  • does not use synapomorphies and
  • includes no ancestors.
  • this is a more phenetic approach

21
0
B
D
E
A
C
F
Monophyly
Paraphyly
Polyphyly
22
Choosing characters for the analysis
0
  • Morphological traits
  • Essential in the case of fossils
  • Scoring traits on fossils is tedious and requires
    expertise.
  • Sometimes looking at embryological development of
    similar structures can help identify whether
    traits are homologous

23
Molecular characters
0
  • Nucleotides may be scored rapidly and a huge
    number of genes are available for comparison
  • Models have been developed to predict how
    sequences change through time
  • However, homoplasy is difficult to identify
    because differences are limited to just four
    character states A, G, C, and T

24
The case of the whale
25
An example from a single morphological character
0
  • Ungulates are divided into two monophyletic
    groups
  • Artiodactyla hippos, cows, pigs, deer,
    giraffes, antelopes and camels
  • Perrisodactyla- horse and rhinos
  • This grouping is due to many structural
    characteristics of the skull and dentiton
  • but mainly it is determined by the shape of an
    ankle bone called the astragalus Fig 4.7

26
Fossil records provide evidence that suggests
that whales are related to the ungulates
0
  • including horse, rhino, deer, cow, camel, and
    antelope
  • whales are most closely related to the hippo
  • Previously it was thought that some of the
    characteristics shared by whales and hippos were
    convergences due to their aquatic lifestyles

27
Problems with the former tree
0
  • If whales and hippos are sister groups then this
    morphological trait (astragalus) does not follow
    the most parsimonious route in evolution
  • The whales would have had to lose the character
    trait See Figure 4.8

28
Multiple Molecular characters
0
  • Molecular data are also available for the
    whale/hippo hypothesis.
  • When multiple characters are used, each trait is
    treated independently and mapped onto a possible
    cladogram
  • The sum of all changes required on each possible
    tree is totaled and the best tree is considered
    to be that which is most parsimonious or has the
    least number of changes required

29
Homework exercise
30
An exercise in constructing an evolutionary
history
0
  • Figure 4.9 shows a group of DNA characters in the
    sequence for the gene which encodes a milk
    protein
  • Of the sequences shown, 15 of the nucleotides
    group at least two taxa and separate them from
    the rest. All of the rest are invariant and
    provide no information

31
Lets use this information to choose between two
possible trees
0
  • First we need to find the most parsimonious
    reconstruction for each character that changes
    (we will use positions 151, 162, 166,176,177, and
    194)
  • Then we count up the required changes and the
    tree with the fewest is the best choice

32
Searching among trees
0
  • The number of alternative trees to search can
    quickly become impossible

33
Computers can automate the task
0
  • With a group of 10 or less taxa, computers can
    test all possible combinations
  • For more taxa the computer is too slow to test
    all possibilities

34
Evaluating trees
0
  • Bootstrapping computer rebuilds a new data set
    from the existing one.
  • Computer randomly selects one of the data points
    then another and then another until you have a
    data set the same size as the original.
  • (Not all of the original are included since some
    will never be chosen by the random process).
  • Build a tree from this data set and then repeat
    the entire process.
  • This is repeated several times over and branches
    which occur at greater than 70 have been shown
    to reflect the true phylogeny

35
Two other methods do not use parsimony
0
  • Phylogenetic methods compute probability or
    likelihood of specific trees.
  • Maximum likelihood
  • Bayesian Analysis
  • Genetic Distance (more phenetic)

36
Maximum likelihood
0
  • Statistical analyses may be used to determine the
    best tree
  • Works from a mathematical formula that describes
    the probability that a certain nucleotide
    substitution will occur
  • (somehow computed by biologists and unique to the
    DNA sequence being studied).
  • Compare this model with a particular phylogenetic
    tree and determine how likely it is that a
    particular set of DNA sequences in a particular
    tree will actually occur.

37
Maximum likelihood continued
0
  • A computer evaluates each tree and computes the
    probability of each arrangement occurring based
    on the specified model of character change
  • The probability is reported as the likelihood
    that each given tree explains the data
  • Can actually demonstrate that some potential
    trees really are more likely.
  • Then can do statistical analyses to decide how
    likely a tree really is.

38
Bayesian Markov Chain Monte Carlo
  • This is a different angle of approaching the
    question of maximum likelihood.
  • It works with individual trees and attempts to
    find a probability that a particular tree is
    correct.
  • The Maximum likelihood methods are believed to
    work better than Parsimony but they cannot always
    be used.
  • You must have a model of likely changes in DNA
    before they can be used.

39
Genetic distance (Phenetic approach)
0
  • All character data is converted into one distance
    value that represents genetic differences between
    taxa.
  • The distance value is calculated by converting
    the discrete and individual data points into one
    number representing a measure of their similarity
  • For instance, the percentage of nucleotide sites
    that differ between two taxa may be computed.
    (i.e. if 18 out of 100 nucleotides are different
    between the two this could be represented as a
    genetic distance of .180

40
Genetic distance (cont)
0
  • This method loses all specific information but
    can capture the overall degree of similarity
    between pairs of taxa
  • Taxa are clustered together based on their
    genetic distances and a tree is constructed from
    this which minimizes the total distance among
    taxa. Fig 4.10

41
Ways of evaluating how good a particular tree is
  • Produce a consensus tree with parsimony
  • Use statistical analyses to evaluate the best
    trees under ML and BMCMC
  • Compare the best trees under parsimony, ML and
    BMCMC to see how consistent they are.
  • Do all three and if consistent can be pretty
    confident you have the right tree.

42
Resolving character conflict
0
  • When conflict still exists all we can really do
    is wait for more data
  • Perhaps new techniques will arise which can help
    to resolve the conflict

43
A new molecular character for helping to
determine phylogeny
0
  • SINEs and LINEs (Short or Long INterspersed
    Elements)
  • These are parasitic DNA sequences that insert
    themselves into a hosts genome
  • Events which lead to the insertion of parasitic
    DNA into the genome are rare so that convergence
    is unlikely (i.e. not likely that the same
    homologous sequence would insert into two
    different lineages in the exact same location)
  • Reversal is also unlikely to go undetected
    because if the parasitic DNA is lost it will
    undoubtedly not be cut out exactly as it entered
    in and will therefore take along some of the host
    DNA genome with it. (cont)

44
0
  • This allows geneticists to differentiate from
    those that never had the parasitic DNA inserted
    and those who secondarily lost it
  • Therefore, SINE and LINE are assumed to be free
    of homoplasy.

45
SINE and LINE Data support the whale hippo
hypothesis
46
Recent fossil finds also corroborate the trees
determined by cladistic analysis
  • Wolf-sized Pakicetus and fox-sized Ichthyolestes
    are both terrestrial but have whale-like ear
    bones and astragalus bones in their ankles
  • Also the more recent Ambulocetus and Rhodocetus
    have the same characteristics
  • Whale video

47
Homework exercise
48
An exercise in constructing an evolutionary
history
0
  • Figure 4.9 shows a group of DNA characters in the
    sequence for the gene which encodes a milk
    protein
  • Of the sequences shown, 15 of the nucleotides
    group at least two taxa and separate them from
    the rest. All of the rest are invariant and
    provide no information

49
Lets use this information to choose between two
possible trees
0
  • First we need to find the most parsimonious
    reconstruction for each character that changes
    (we will use positions 151, 162, 166,176,177, and
    194)
  • Then we count up the required changes and the
    tree with the fewest is the best choice

50
Current phylogeny of ungulates
0
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What can phylogenies be used for?
0
53
Using phylogenies .......
0
  • CAN HELP ANSWER QUESTIONS ABOUT RATES OF CHANGE
  • Example
  • Rates of divergence in a protein were used to
    estimate the colonization time of the Hawaiian
    Drosophila at 42 million years
  • The Islands are only 5-6 million years old

54
Using phylogenies can answer questions about...
0
  • THE AGE OF CLADES
  • When the fossil record can provide documentation
    for a lineage it can help place a time scale on
    the branching points
  • Cladograms can then be used to make predictions
    about what we might find in future fossil
    discoveries

55
Using phylogenies to ...
0
  • Understand how organisms came to be where they
    are.... Biogeography
  • For instance ...can use phylogenetic trees to
    help establish how some taxa radiated out to
    their current locations when Gondwana broke up.
    Chameleons example in the book.
  • Did Chameleon species disperse or were they
    separated at the time that Gondwana broke up?
    Figure 14.13
  • This field of study is called phylogeography

56
Using phylogenies can document coevolution
0
  • Example
  • Ants that farm fungi or Aphids with bacterial
    endosymbionts have been studied. Leaf cutter ant
    video.
  • Phylogenetic analysis of the two groups which are
    in association may provide evidence that the
    species have evolved in concert.

57
Using phylogenies to answer questions
0
  • USED TO TRACK DOWN THE TRANSMISSION HISTORY OF
    COMMUNICABLE DISEASES
  • Plague example in the book.

58
The End
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Figure 4.3 page 114
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Figure 4.4 p. 115
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Figure 4.6 p. 117
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Figure 4.7 p. 120
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Figure 4.10 p. 126
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The End
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