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Evolutionary Biology Concepts

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Branching diagram showing the ancestral relations among species. 'Tree of Life' ... 'Slightly deleterious mutations' Models. Most non-coding sites. are neutral? ... – PowerPoint PPT presentation

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Title: Evolutionary Biology Concepts


1
Evolutionary Biology Concepts
  • What is behind is not important!-
  • or is it?
  • Molecular Evolution
  • Phylogenetic Inference

2
Evolution
Change in living organisms via reproduction
"Change over time"-Kentucky School Boards
3
Levels of Evolution
  • Species
  • Population
  • gene frequencies
  • Organismal
  • genomic
  • Molecular

4
Branching Descent
Evolutionary Tree
Family Tree
5
Phylogeny
  • Branching diagram showing the ancestral relations
    among species.
  • Tree of Life
  • History of evolutionary change
  • FRAMEWORK for INFERENCE

6
Phylogenetic Inference
Mom's hair color?
Which form of reproduction?
7
Mom-Inferred vs Real
  • Blonde Phenotype
  • Recombination
  • Male/hair color
  • Multigenic hair color?
  • Potential Asexual Propagation
  • Date of vasectomy?

courtesy, Ms. J. Rae Staben
8
Inferring the Framework
  • How do we describe phylogenies?
  • How do we infer phylogenies?

9
Inheritance
DNA
?RNA ?Protein ?Function
10
Phylogenetic Trees
Sister Taxa
Terminal Taxa
Ancestor
Root
11
More Trees
12
Trees-3
Polyphyletic Group
13
Rooted vs Unrooted Trees
14
Extinction
15
Speciation
  • Poorly understood
  • the mystery of mysteries-Darwin
  • Reproductive isolation/divergence

16
Population Genetic Forces
Hardy-Weinberg Paradigm pq1 p2 2pq q2 1
  • Natural Selection (fitness)
  • Drift (homozygosity by chance)
  • much greater in small populations
  • Mutation/Recombination (variation)
  • Migration
  • homogenizes gene pools

17
DNA, protein sequence change
Rate1 change/6 aa sites per 108 yrs Rate0.16 x
10-9 yrs (normal 1 per 10-9 yrs per site)
18
Multiple Changes/No Change
..CCU AUA GGG.. ..CCC AUA GGG.. ..CCC AUG
GGG.. ..CCC AUG GGC.. ..CCU AUG GGC.. ..CCU AUA
GGC..
5 mutations 1 DNA change 0 amino acid changes
(net)
Underestimate Evolution
19
Mechanisms of DNA Sequence Change
  • Neutral Drift vs Natural Selection
  • For a 1000 base gene, 41000 sequences!

Selection (Jukes)
Neutral (Kimura)
20
Rate varies Gene-to-Gene
21
Rate varies Site-to-Site
CodinggtSilent???
22
Constraints on Silent Changes
  • Codon Biases-translation rates
  • Transcription elongation rates
  • polymerase pause sites
  • Silent regulatory elements
  • select for or against presence/absence
  • Overall genome structure

23
Neutralism in Eukaryotes vs Prokaryotes-Slightly
deleterious mutations Models
Most non-coding sites are neutral? Coding/noncodin
g can be flexible?
Reconsider evolutionary mechanisms?
24
Evolutionary Genetic Forces
Hardy-Weinberg Paradigm pq1 p2 2pq q2 1
  • Natural Selection (fitness)
  • Drift (homozygosity by chance)
  • much greater in small populations
  • Mutation/Recombination (variation)
  • Migration
  • homogenizes gene pools

Genome Recombination?
25
DNA, Protein Similarity
  • Similarity by common descent
  • phylogenetic
  • Similarity by convergence
  • functional importance
  • Similarity by chance
  • random variation not limitless
  • particular problem in wide divergence

26
Homology-similar by common descent
27
Inferring Trees and Ancestors
CCCAGG CCCAAG-gt CCCAAG CCCAAA-gt
CCTAAA CCTAAA-gt CCTAAC
MANY traps, problems
28
Homology, Orthology, Paralogy
Orthologs
29
Paralogy Trap
30
Improper Inference
Man is a mouse, not a rat!
31
Convergence
Globin
Common Ancestor Convergence
Leghemoglobin
32
Our Goals
  • Infer Phylogeny
  • Optimality criteria
  • Algorithm
  • Phylogenetic inference
  • (interesting ones)

33
Watch Out
  • The danger of generating incorrect results is
    inherently greater in computational phylogenetics
    than in many other fields of science.
  • the limiting factor in phylogenetic analysis is
    not so much in the facility of software
    applicaition as in the conceptual understanding
    of what the software is doing with the data.
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