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BIOS E-127 – 08.09.29. Phenetics vs. cladistics Lysozyme amino acid changes in unrelated ruminants Phenetics vs. cladistics.

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Presentation on theme: "BIOS E-127 – 08.09.29. Phenetics vs. cladistics Lysozyme amino acid changes in unrelated ruminants Phenetics vs. cladistics."— Presentation transcript:

1 BIOS E-127 – 08.09.29

2 Phenetics vs. cladistics

3 Lysozyme amino acid changes in unrelated ruminants Phenetics vs. cladistics

4 Maximum Parsimony

5 Microbial systematics Formerly Pseudomonas (partial list): Ralstonia, Burkholderia, Hydrogenophaga, Sphingomonas, Methylobacterium, Cellvibrio, Xanthomonas, Acidovorax, Hydrogenophillus, Brevundimonas, Pandoraea

6 Molecular phylogenetics Zuckerkandl & Pauling. 1965. Molecules as documents of evolutionary history. J Theor Biol. 8:357-366. Neutral theory (Motoo Kimura, 1968)

7 16S rRNA as phylogenetic marker Why a good molecule?

8 Good Dataset [A1, A2, A3, A4] [A1, B2, A3, A4] Bad Dataset A B species 1 species 2 species 3 species 4 A1 B1 A2 B2 A4 B4 A3 B3 Ortholog vs. paralog?

9 CGGATAAAC CGGATAGAC CGCGATAAAC CGGATAAC taxa1 taxa2 taxa3 taxa4 Alignment

10 Example: Neighbor Joining (NJ) Taxa Characters Species A ATGGCTATTCTTATAGTACG Species B ATCGCTAGTCTTATATTACA Species C TTCACTAGACCTGTGGTCCA Species D TTGACCAGACCTGTGGTCCG Species E TTGACCAGTTCTCTAGTTCG A B C D E Choose methods: distance-based A B C D E Species A ---- 4 10 9 8 Species B ---- 8 11 10 Species C ---- 3 8 Species D ---- 5 Species E ---- A B C D E Species A ---- 4 10 9 8 Species B -19.3 ---- 8 11 10 Species C -10 -14.7 ---- 3 8 Species D -10.7 -11.3 -16 ---- 5 Species E -12.7 -13.3 -12 -14.7 ---- M(AB)=d(AB) -[(r(A) + r(B))/(N-2)]

11 Ancestral Sequences Observed Sequences ? Model Choose “model”

12 Maximum Parsimony (MP): Model: Evolution goes through the least number of changes Maximum Likelihood (ML): L (data| model) Bayesian Inference Markov chain Monte Carlo (MCMC) method for sampling from posterior probability distribution Discrete character methods

13 I. Bootstrap Re-sampling to produce pseudo-dataset (random weighting) II. Jacknife Sampling with replacement III. Permutation test Random deletion of sub-dataset Randomize dataset to build null likelihood distribution CGATCGTTA CAATGATAG CGCTGATAA CGCTGATCG taxa1 taxa2 taxa3 taxa4 123456789 Dataset1: 729338554 Dataset2: 631981282 … Dataset1: 1-3-56789 Dataset2: 12-45678- … 100 73 Assess reliability

14 Reconstructed ancestral sequences to infer paleoenvironment (Gaucher et al., 2003)

15 Signs of selection (Sawyer & Malik, 2006)

16 5. Assess Reliability Molecular clock: HIV-1 origin (Korber et al., 2000)

17 Genetic exchange in bacteria/archaea

18 Detecting HGT from genomes: atypical nt composition (Hacker & Carniel, 2001)

19 Monday (10/6): Microbial species, biogeography & population genetics II.


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