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Molecular Evolution, Part 2. Everything you didn’t want to know… and more!. Average Rates of Substitution. Similarity Profiles. What influences determine rates of change & levels of similarity?. Mutation – stochastic changes Natural selection – organismal survival and reproductive success
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Molecular Evolution, Part 2 Everything you didn’t want to know… and more!
What influences determine rates of change & levels of similarity? • Mutation – stochastic changes • Natural selection – organismal survival and reproductive success • Genetic drift – random fixation of selectively neutral alleles
Detecting Positive Selection • Protein coding regions only • KA/KS • Codon-degeneracy model (CDM) • Selection on Amino Acid Properties (TreeSAAP) Case study paper
MEGA3 Molecular Evolutionary Genetics Analysis www.megasoftware.net/mega3/ 1. Constructing Trees from Distance Data 2. Computing Statistical Quantities for Nucleotide Sequences 3, Estimating Evolutionary Distances from Nucleotide Sequences 4. Constructing Trees and Selecting OTUs from Nucleotide Sequences 5. Tests of the Reliability of a Tree Obtained 6. Test of Positive Selection 7. Creating Multiple Sequence Alignments 8. Working With Genes and Domains 9. Managing Taxa With Groups Application Description
CDM • Uses the degeneracy structure of codons to predict patterns of nucleotide substitution expected under neutral expectations • Expectations are statistically compared to observations inferred from a well-resolved phylogenetic tree • Deviations from neutral expectations indicates a significant historical influence by natural selection on the protein
The Model Application Descriptions: 1, 2, 3 (See pg. 395 of #3) • Patterns of codon degeneracy • Counting sites • Counting codons with certain patterns of degeneracy • Transition bias • Evolvability – codon architecture
The .doc format is much clearer. BLOSUM62 Substitution Matrix BLOSUM62 Substitution Matrix
Grantham Index • Composition • Polarity • Molecular volume
Physicochemical Distances 20 Mammalian proteins Composition, Polarity, Molecular Weight
TreeSAAP • Assumes that all possible changes are equally likely to construct a discrete probability distribution of magnitudes of biochemical change for alternative physicochemical amino acid properties • Statistically compares these expectations with observed biochemical changes • Deviations from constrained randomness indicate positive or negative selection
The Model Application Description (see pg. 919) • Evolutionary pathways • Counting codons • obs/exp proportions