Lecture 19 Flashcards

1
Q

Outgroup

A
  • lacks all characters that are seen in other branches

- character state is 0

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2
Q

Parsimony (2 concepts)

A
  • methodological

- ontological

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3
Q

Methodological Parsimony

A
  • Ockham’s Razor

- best hypothesis is simplest i.e. makes fewest assumptions

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4
Q

Ontological Parsimony

A
  • nature prefers the simplest course of evolution (not necessarily true; what if nature doesn’t always prefer the fewest number of changes? homoplasies do exist-computers let you know how many exist in each tree)
  • thus the best tree requires the fewest changes i.e. the fewest homoplasies
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5
Q

Determining proper tree

A
  • add more characters
  • the longer the think is the less likely it is to be right
  • want fewest number of informative steps
  • want to find tree with shortest length, and reduce number of homoplasies
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6
Q

Automorphy

A
  • only present in one clade
  • not informative
  • not used in analysis at end
  • homoplasy on these trees is a characteristic that arises twice
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7
Q

Molecular Sequences

A
  • loses relationship with extinct things but gains ability to see relationship between very different organisms like ears of corn or mushrooms as opposed to doing it morphologically
  • genes don’t care about morphology
  • don’t have to have any morphological characters in common to get relatedness
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8
Q

Parsimony in Cladistics

A
  • use only synaptomorphies
  • character present in only one lineage not used in cladistics
  • lose some data when you do it cladistically
  • will use different data set depending on what method of analysis you use
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9
Q

Why is there so much homoplasy in molecular data than in morphological data?

A
  • mutation doesn’t always cause a morphological change
  • more fundamental reason: only four possible bases for each position so you need a lot of sequence when you’re using this method because the homoplasy rate is so high
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10
Q

How many bp in human genome?

A

-3 billion

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11
Q

How do you estimate divergence times?

A

-fossil record

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12
Q

Unrooted Tree

A
  • don’t know topology of relationships seen in the data

- used to give you a rather large scale map

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13
Q

Ordering States of Features for Analysis

A
  1. select features
  2. decide what are primitive and derived states for each feature
  3. generate data set
  4. application to cladogram inference
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14
Q

Polarity Assignment

A
  • Has to be determined empirically, as in examples; fossil data can help
  • states can be assigned numbers for easy analysis
  • e.g. 0 for primitive state, 1 for derived. If a second derived state exists can be called 2.
  • with that, a table of taxa and character states can be prepared
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15
Q

When Building a Simple Cladogram

A
  • 0 means trait is absent 1 means trait is present

- computer doesn’t build a tree from the data it matches the data to all possible trees

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16
Q

Inferring Trees

A
  • Number of taxa and characters increases the complexity

- with number of taxa, number of possible trees increases fast

17
Q

Phylogenetic Methods Used on Gene Sequence Data

A
  • lots of data
  • need homologous genes from different taxa e.g. ribosomal genes-universal
  • evolves by substitution of bases
  • first step sequence genes
  • second step align gene sequence from taxa
  • third step apply tree algorithms can use a few distinct methods
18
Q

Methods of Alignment and Inference

A
  • Distance: use all differences
  • Parsimony: use only synapomorphy (cladistic)
  • look at picture in notes
19
Q

Phylogenetic Trees

A
  • not all are cladograms
  • in molecular phylogeny what are called “distance trees” also are used
  • branch length scan differ (a reflection of evolutionary rate along the branch)
  • evolution of genes does not necessarily have a uniform rate
20
Q

Value of DNA Sequence Phylogeny

A
  • huge amount of data
  • can bridge taxa that share no morphology
  • can estimate divergence times
21
Q

Are fossils necessary for phylogeny?

A
  • fossils rarely yield DNA, so have almost no record of extinct genomes
  • fossils also don’t contain as much morphology as live organisms
  • however phylogenies made exclusively from life organisms or from DNA lack any trace of extinct lineages
  • this means that extinc experiments not related to living forms are lost
  • it also means that transitional and basal taxa that would tell us about evolution of major new features is lost
  • fossils also give us the crucial dimension of time
  • there are lineages that lack any fossil record. For phylogenies can only be built from live organisms
  • Finally, DNA phylogenies offer a feature not available in any other way. That is relating completely unlike organisms into a tree