Phylogenetic Trees: Quick Review
Tree Thinking
- Darwin: life on Earth shows common descent; lineages branch over time to form a Tree of Life.
- Phylogenetic trees: visual representation of evolutionary history; a hypothesis about relationships among populations, species, or genes.
- Tree anatomy basics:
- Internal nodes = hypothetical ancestors.
- Clade = a node and all its descendants.
- Trees can be drawn in different shapes but represent the same relationships.
Building Trees
- Data source: traits/characters (morphology, behavior, DNA, etc.).
- Taxa are grouped by shared traits; more traits in common implies closer relationship.
- Character states:
- Binary state: 0 or 1.
- Shared vs. derived (synapomorphies) vs. ancestral (plesiomorphies).
- Homologous vs. Analogous:
- Homologous: traits present in a common ancestor; reflect shared descent.
- Analogous: traits with similar function but not from a common ancestor (convergent evolution).
- Outgroups: distant relative outside the ingroup used to infer ancestral vs derived states.
- Data matrix: characters with binary states used to build trees.
- Parsimony: best tree is the one with the fewest evolutionary steps (state changes).
- Goal: minimize the total number of state changes across all characters and branches.
- Often represented as: minimize extsumofchangesacrossallbranches.
Reading Trees
- Trees are not linear progressions from simple to complex; they represent branching history.
- Branch order can be rearranged around nodes without changing relationships (topology).
- Tick marks indicate character-state changes; taxa above a tick share the derived state.
- Most Recent Common Ancestor (MRCA): the most recent ancestor shared by a set of taxa.
Rooting and Outgroups
- Rooted vs. unrooted trees:
- Rooted: has a direction of time from root to tips.
- Outgroup helps root the tree.
- Outgroup concept:
- An organism outside the ingroup used to determine ancestral vs derived states.
- Provides a reference point to polarize characters.
- Example use: choose an organism clearly not part of the ingroup (e.g., kangaroo for a mammal study) to assign ancestral vs derived states.
Clades, Taxonomy, and Monophyly
- Monophyletic group (clade): includes an ancestor and all its descendants.
- Polyphyletic: group that does not include the most recent common ancestor of its members.
- Paraphyletic: group that includes the most recent common ancestor but not all descendants.
- In modern taxonomy, groups are preferred to be monophyletic (clades).
- Taxonomy uses shared, derived characters to define groups (clades).
Key Concepts and Terms
- Ancestral state (plesiomorphy) vs. derived state (apomorphy).
- Synapomorphy: a shared derived character helpful for defining a clade.
- Homologous traits: derived from a common ancestor; underlying structure often similar.
- Analogous traits: similar function but not from a common ancestor.
- Outgroup: reference taxon outside the group of interest used to root the tree.
- Ingroup: group of taxa under study.
- Node: hypothetical ancestor; branching point in the tree.
- Branch: lineage segment between nodes.
- Clade: node plus all its descendants.
- Tree topology: the branching relationships among taxa; can be rearranged without changing relationships.
- Parsimony principle: prefer the tree with the fewest changes; the simplest explanation.
Quick Reference Concepts
- How to tell ancestral vs derived states: use outgroup to polarize characters.
- Reading a tree: shared derived states define clades; monophyletic groups are preferred.
- MRCA concept helps identify the origin of shared traits among taxa.
- Common pitfalls: convergent evolution can create similar traits (analogies) that mislead analyses if not identified.
Quick Practice Prompts
- What makes a group monophyletic? (Answer: includes a common ancestor and all its descendants.)
- Why is an outgroup useful? (Answer: helps determine ancestral vs derived character states.)
- How does parsimony guide tree selection? (Answer: choose the tree with the fewest character-state changes.)
- Distinguish homologous vs. analogous traits with an example.