Содержание
- 2. What is positive selection?
- 3. Positive selection is selection on a particular trait - and the increased frequency of an allele
- 4. Woolhouse et al, 2002. Nat. Genet Directional selection Balancing selection Population level Positive selection can drive
- 5. Species A Diversifying positive selection Interspecific level Positive selection driving divergence
- 6. Why is it interesting to identify traits which have undergone or are under positive selection? Function
- 7. How can we detect positive selection?
- 8. Changes in a protein sequence….
- 9. Come from changes in the nucleotide sequence
- 10. Quantifying non-synonymous variation - an estimate of positive selection Synonymous mutations: neutral mutations Non-synonymous mutations: non-neutral
- 11. Rate of synonymous mutations Rate of non-synonymous mutations To measure positive selection:
- 12. Positive selection between species Ks or dS Ka or dN
- 13. Positive selection in a population PS PN
- 14. Species A Species B Species C PN / Ps Estimates of non-synonymous and synonymous polymorphisms and
- 15. Species A Species B Species C PN / Ps Estimates of non-synonymous and synonymous polymorphisms and
- 16. Nei and Gojobori, 1986 Counts of non-synonymous mutations for each gene (Nd) Counts of synonymous mutations
- 17. Calculate potential synonymous sites (S) for each codon A fourfold degenerate site counts as S =
- 18. Calculate Sd and Nd for each codon. 1. Sd = 0, Nd = 0 2. Sd
- 19. Positive selection between species ds dN
- 20. Species A Species B Species C PN / Ps When positive selection is related to species
- 21. McDonald Kreitman (MK) test to contrast within and between species variation
- 22. Repl: Nonsynonymous, Syn: Synonymous Fixed: Substitution, Poly: Polymorphisms Drosophila dataset alcohol dehydrogenase
- 23. MK test contrasts within and between species synonymous and non-synonymous differences Contingency table can be tested
- 24. Conclusion from MK-test: Adh locus in Drosophila has accumulated adaptive mutations (been under positive selection) when
- 25. One problem with the “counting methods” Sometimes the signal of selection is not very strong
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