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Transcript
BCB 444/544
Lecture 29
Phylogenetics
#29_Oct31
BCB 444/544 F07 ISU Terribilini #29- Phylogenetics
10/31/07
1
Required Reading
(before lecture)
Mon Oct 29 - Lecture 28
Promoter & Regulatory Element Prediction
• Chp 9 - pp 113 - 126
Wed Oct 30 - Lecture 29
Phylogenetics Basics
• Chp 10 - pp 127 - 141
Thurs Oct 31 - Lab 9
Gene & Regulatory Element Prediction
Fri Oct 30 - Lecture 29
Phylogenetic Tree Construction Methods & Programs
• Chp 11 - pp 142 - 169
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Assignments & Announcements
Mon Oct 29 - HW#5
HW#5 = Hands-on exercises with phylogenetics
and tree-building software
Due: Mon Nov 5
(not Fri Nov 1 as previously posted)
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BCB 544 "Team" Projects
Last week of classes will be devoted to Projects
• Written reports due:
• Mon Dec 3 (no class that day)
• Oral presentations (20-30') will be:
• Wed-Fri Dec 5,6,7
• 1 or 2 teams will present during each class period
 See Guidelines for Projects posted online
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BCB 544 Only:
New Homework Assignment
544 Extra#2
Due:
√PART 1 - ASAP
PART 2 - meeting prior to 5 PM Fri Nov 2
Part 1 - Brief outline of Project, email to Drena & Michael
after response/approval, then:
Part 2 - More detailed outline of project
Read a few papers and summarize status of problem
Schedule meeting with Drena & Michael to discuss ideas
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Seminars this Week
BCB List of URLs for Seminars related to Bioinformatics:
http://www.bcb.iastate.edu/seminars/index.html
• Nov 1 Thurs - BBMB Seminar 4:10 in 1414 MBB
• Todd Yeates UCLA TBA -something cool about
structure and evolution?
• Nov 2 Fri - BCB Faculty Seminar 2:10 in 102 ScI
• Bob Jernigan BBMB, ISU
• Control of Protein Motions by Structure
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Chp 10 - Phylogenetics
SECTION IV MOLECULAR PHYLOGENETICS
Xiong: Chp 10 Phylogenetics Basics
•
•
•
•
•
•
Evolution and Phylogenetics
Terminology
Gene Phylogeny vs. Species Phylogeny
Forms of Tree Representation
Why Finding a True Tree is Dificult
Procedure of Building a Phylogenetic Tree
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Evolution and Phylogenetics
• Evolution – the development of biological form from
other preexisting forms
• Evolution proceeds by natural selection
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Natural Selection
• Species can produce more offspring than the
environment can support. This leads to
competition for resources. Genetic variations
exist in a population that give some individuals
an advantage, others a disadvantage, leading to
differential reproductive success.
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Phylogenetics
• Phylogenetics is the study of the evolutionary
history of living organisms
• Uses tree like diagrams to represent the
pedigrees of the organisms
• Similarities and differences seen in a multiple
sequence alignment are easier to make sense of
in a phylogenetic tree
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Data Used in Phylogenetics
• Fossil records - morphology and timeline of
divergence
• Limitations - not available for all species in all areas,
morphology determined by multiple genetic factors, fossils
for microorganisms are especially rare
• Molecular data - DNA and protein sequences molecular fossils
• Advantages - lots of data, easy to obtain
• Limitations - can be difficult to get sequences from
extinct species
• Physical, behavior, and developmental
characteristics can also be used in phylogenetics
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Molecular Phylogenetics
• Molecular phylogenetics is the study of
evolutionary relationships of genes and
other biological macromolecules by
analyzing their sequences
• Sequence similarity can be used to infer
evolutionary relationships
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Assumptions in Molecular Phylogenetics
• Sequences used are homologous, i.e.
share a common ancestor
• Phylogenetic divergence is bifurcating,
i.e. parent branch splits into two
daughter branches
• Each position in a sequence evolved
independently
• Molecular Clock – sequences evolve at
constant rates (only used in some
methods)
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Terminology
Taxa (terminal nodes)
A
B
C
D
E
F
G
H
Internal node
Branch
Root
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Terminology
• Clade = group of taxa descended from a common
ancestor
• Lineage = branch path depicting ancestordescendant relationship
• Paraphyletic group = group of taxa that share more
than one closest common ancestor
A
B
C
D
E
F
G
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Tree Topology
• Tree topology is the branching pattern in a tree
Dichotomy
Bifurcation
Polytomy
Multifurcation
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Rooted vs. Unrooted Trees
Rooted Tree
A
B
C
D
Unrooted Tree
A
C
B
D
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Rooted vs. Unrooted Trees
• Unrooted trees have no root node – do not assume
knowledge of a common ancestor, just relationships
• Can convert between unrooted and rooted, but
first need to determine where the root is
• Two ways to define the root:
• Use an outgroup
• Midpoint rooting – midpoint of the two most divergent
groups is assigned to be the root
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Outgroups
• Outgroup is a sequence related to the sequences
being studied, but is more distantly related
• Must be distinct from the ingroup, but not too
distant
• If outgroup is too distantly related, it can lead to
errors in tree construction
• Trick is to find the closest related sequence that
is removed from the ingroup
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Gene Phylogeny vs. Species Phylogeny
• When using molecular data, we are technically
building a phylogeny for just that sequence, not for
the species from which the sequences came
• Species evolution is the result of mutations in the
entire genome
• Your gene may have evolved differently than other
genes in the genome
• To obtain a species phylogeny, we need to use a
variety of gene families to construct the tree
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Forms of Tree Representation
Phylogram
Branch lengths
represent amount
of evolutionary
divergence
Cladogram
Branch lengths are
meaningless, only
topology matters
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Forms of Tree Representation
• Newick format – text format for use by computer
programs
• Example: (((B,C),A),(D,E))
• Can also have branch lengths
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Consensus Trees
Multiple trees
that are equally
optimal – build
consensus tree
by collapsing
disagreements
into a single
node
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Why Finding a True Tree is Difficult
Number of rooted trees
• The number of possible
trees grows
exponentially with the
number of species (or
sequences)
• Nr = (2n -3)!/2(n-2)(n-2)!
• Nu = (2n -5)!/2(n-3)(n-3)!
• To find the best tree,
you must explore all
possibilities (or must
you?)
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Tree Building Procedure
• Choose molecular markers
• Perform MSA
• Choose a model of evolution
• Determine tree building method
• Assess tree reliability
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Choice of Molecular Markers
• Very closely related organisms - nucleic acid
sequence will show more differences
• For individuals within a species - faster mutation
rate is in noncoding regions of mtDNA
• More distantly related species - slowly evolving
nucleic acid sequences like ribosomal RNA or
protein sequences
• Very distantly related species - use highly
conserved protein sequences
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Advantages of Protein Sequences
• More highly conserved - mutations in DNA may not change
amino acid sequence
• Third position in a codon especially can vary - violates our
assumption of independent evolution of all positions in a
sequence
• DNA sequences can be biased by codon usage differences
between species - causes variations in sequence that are not
attributable to evolution
• In alignments, DNA sequences that are not related can show
a lot of similarity due to only 4 letters in alphabet, proteins
do not have this problem (at least not as much)
• Introducing gaps in alignments of DNA sequences can cause
frameshift errors, making alignment biologically meaningless
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Advantages of DNA Sequences
• Better for closely related species
• Show synonymous and non-synonymous
mutations, which allows analysis of positive
and negative selection events
• Lots of nonsynonymous mutations may mean
positive selection for new functions of protein
with different amino acid sequence
• Lots of synonymous mutations may mean negative
selection - changed amino acid sequence is
detrimental
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Multiple Sequence Alignment
• Most critical step in tree building - cannot
build correct tree without correct
alignment
• Should build alignments with multiple
programs, then inspect and compare to
identify the most reasonable one
• Most alignments need manual editing
• Make sure important functional residues align
• Align secondary structure elements
• Use full alignment or just parts
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Automatic Editing of Alignments
• Rascal and NorMD – correct alignment
errors, remove potentially unrelated or
highly divergent sequences
• Gblocks – detect and eliminate poorly
aligned positions and divergent regions
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