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Phylogenetics

Phylogenetics. “The time will come, I believe, though I shall not live to see it, when we shall have fairly true genealogical trees of each great kingdom of Nature” - Charles Darwin. Charles Darwin On the origin of species . 1859

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Phylogenetics

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  1. Phylogenetics

  2. “The time will come, I believe, though I shall not live to see it, when we shall have fairly true genealogical trees of each great kingdom of Nature” - Charles Darwin

  3. Charles DarwinOn the origin of species. 1859 Chapter IV - Natural Selection

  4. Example - relationship among species primates rodents crocodiles birds crocodiles birds lizards marsupials snakes snakes lizards rodents primates marsupials What is Molecular Phylogenetics Phylogenetics is the study of evolutionary relationships

  5. 1900s Immunochemical studies: cross-reactions stronger for closely related organisms Nuttall (1902) - apes are closest relatives to humans A Brief History of Molecular Phlogenetics 1960s - 1970s Protein sequencing methods, electrophoresis, DNA hybridization and PCR contributed to a boom in molecular phylogeny late 1970s to present Discoveries using molecular phylogeny: - Endosymbiosis - Margulis, 1978 - Divergence of phyla and kingdom - Woese, 1987 - Many Tree of Life projects completed or underway

  6. Molecular data vs. Morphology / Physiology

  7.  Strictly heritable entities  Can be influenced by environmental factors  Ambiguous modifiers: “reduced”, “slightly elongated”, “somewhat flattened”  Data is unambiguous  Unpredictable evolution  Regular & predictable evolution  Qualitative argumentation  Quantitative analyses  Homology difficult to assess  Ease of homology assesment  Relationship of distantly related organisms can be inferred  Only close relationships can be confidently inferred  Abundant and easily generated with PCR and sequencing  Problems when working with micro-organisms and where visible morphology is lacking Molecular data vs. Morphology / Physiology

  8. Sequence A Sequence B Sequence C Sequence D Sequence E Phylogenetic concepts:Interpreting a Phylogeny • Physical position in tree is not meaningful • Swiveling can only be done at the nodes • Only tree structure matters Present Time

  9. Sequence A Sequence B Sequence E Sequence D Sequence C Phylogenetic concepts:Interpreting a Phylogeny • Physical position in tree is not meaningful • Swiveling can only be done at the nodes • Only tree structure matters Present Time

  10. Rectangular cladogram Slanted cladogram Tree Terminology • Relationships are illustrated by a phylogenetic tree / dendrogram • The branching pattern is call the tree’s topology • Trees can be represented in several forms:

  11. Tree Terminology • Relationships are illustrated by a phylogenetic tree / dendrogram • The branching pattern is call the tree’s topology • Trees can be represented in several forms: Circular cladogram

  12. Operational taxonomic units (OTU) / Taxa Internal nodes A B C Terminal nodes D Sisters Root E F Branches Polytomy Tree Terminology

  13. Tree Terminology Rooted vs. unrooted trees D A B E A B C D Root E C F F Rooted trees: Has a root that denotes common ancestry Unrooted trees: Only specifies the degree of kinship among taxa but not the evolutionary path

  14. A B C D E F Tree Terminology Scaled vs. unscaled trees Scaled trees: Branch lengths are proportional to the number of nucleotide/amino acid changes that occurred on that branch (usually a scale is included). Unscaled trees: Branch lengths are not proportional to the number of nucleotide/amino acid changes (usually used to illustrate evolutionary relationships only).

  15. Tree Terminology Monophyletic vs. paraphyletic Saturnite 1 Jupiterian 32 Saturnite 2 Jupiterian 5 Saturnite 3 Jupiterian 67 Martian 1 Human 11 Martian 3 Jupiterian 8 Martian 2 Human 3 Monophyletic groups: All taxa within the group are derived from a single common ancestor and members form a natural clade. Paraphyletic groups: The common ancestor is shared by other taxon in the group and members do not form a natural clade.

  16. Methods in Phylogenetic Reconstruction Distance Maximum Parsimony Maximum Likelihood Bayesian    * All algorithms are calculated using available software, eg. PAUP, PHYLIP, McClade, Mr. Bayes etc.

  17. Comparison of Methods

  18. A A B B Methods in Phylogenetic Reconstruction Distance • Using a sequence alignment, pairwise distances are calculated • Creates a distance matrix • A phylogenetic tree is calculated with clustering algorithms, using the distance matrix. • Examples of clustering algorithms include the Unweighted Pair Group Method using Arithmetic averages (UPGMA) and Neighbor Joining clustering. A B C C D

  19. Methods in Phylogenetic Reconstruction Maximum Parsimony • All possible trees are determined for each position of the sequence alignment • Each tree is given a score based on the number of evolutionary step needed to produce said tree • The most parsimonious tree is the one that has the fewest evolutionary changes for all sequences to be derived from a common ancestor • Usually several equally parsimonious trees result from a single run.

  20. B C Maximum parsimony: exhaustive stepwise addition Step 1 A D D B B C B C C D Step 2 A A A E E D D D B B B E C C C ………………… A A A Step 3

  21. Methods in Phylogenetic Reconstruction Maximum Likelihood • Creates all possible trees like Maximum Parsimony method but instead of retaining trees with shortest evolutionary steps…… • Employs a model of evolution whereby different rates of transition/transversion ration can be used • Each tree generated is calculated for the probability that it reflects each position of the sequence data. • Calculation is repeated for all nucleotide sites • Finally, the tree with the best probability is shown as the maximum likelihood tree - usually only a single tree remains • It is a more realistic tree estimation because it does not assume equal transition-transversion ratio for all branches.

  22. How confident are we about the inferred phylogeny? rat ? human ? turtle ? fruit fly oak ? duckweed

  23. Bootstrapping

  24. Pseudo sample 1 0123456789 001122234556667 rat GGAAGGGGCTTTTTA human GGTTGGGGCTTTTTA turtle GGTTGGGCCCCTTTA fruitfly CCTTCCCGCCCTTTT oak AATTCCCGCTTCCCT duckweed AATTCCCCCTTCCCC rat GAGGCTTATC human GTGGCTTATC turtle GTGCCCTATG fruitfly CTCGCCTTTG oak ATCGCTCTTG duckweed ATCCCTCCGG Sample rat human Pseudo sample 2 445556777888899 turtle rat CCTTTTAAATTTTCC human CCTTTTAAATTTTCC turtle CCCCCTAAATTTTGG fruitfly CCCCCTTTTTTTTGG oak CCTTTCTTTTTTTGG duckweed CCTTTCCCCGGGGGG fruit fly oak duckweed Inferred tree Many more replicates (between 100 - 1000) • Computational method to estimate the confidence level of a certain phylogenetic tree. The Bootstrap

  25. rat human turtle fruit fly oak duckweed Bootstrap values 100 65 0 55 • Values are in percentages • Conventional practice: only values 60-100% are shown

  26. Some Discoveries Made Using Molecular Phylogenetics

  27. Universal Tree of Life • Using rRNA sequences • Able to study the relationships of uncultivated organisms, obtained from a hot spring in Yellowstone National Park Barns et al., 1996

  28. Endosymbiosis: Origin of the Mitochondrion and Chloroplast -Purple Bacteria Other bacteria Chloroplasts Mitochondria Root Cyanobacteria Eukaryotes Archaea Mitochondriaand chloroplastsare derived from the -purple bacteria and the cyanobacteria respectively, via separate endosymbiotic events.

  29. Rwanda A Ivory Coast Italy Uganda U.S. B U.S. India Rwanda U.K. C Ethiopia Uganda S. Africa Uganda D Netherlands Tanzania Russia Romania G F Taiwan Cameroon Brazil Netherlands Relationships within species: HIV subtypes

  30. Problems and Errors in Phylogenetic Reconstruction • Inherent strengths and weaknesses in different tree-making methodologies (see the Holder & Lewis reading for this week). • More is better: Errors in inferred phylogeny may be caused by small data sets and/or limited sampling. • Unsuitable sequences: those undergoing rapid nucleotide changes or slow to zero changes overtime may skew phylogenetic estimations • Mutations: Duplications, inversions, insertions, deletions etc. can give inaccurate signals • Genomic hotspots:small regions of rapid evolution are not easily detected • Homoplasy: nucleotide changes that are similar but occurred independently in separate lineages are mistakenly assumed as inherited changes • Sample contamination / mislabeling: always a possibility when working with large data sets

  31. By adding Acorus, a non-cereal monocot, Amborella is placed as a basal flowering plant. Cautionary tales in phylogenetics The position of Amborella as sister to all flowering plants

  32. Cautionary tales in phylogenetics The phylogeny of chordates constructed using 20 mitochondrial genes Because mitochondrial coding sequences from carp and trout undergo rapid evolution (nucleotide substitutions), they experience long branch attraction, which causes their misplacement.

  33. Han Chuan Ong hanong@u.washington.edu

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