Phenetics Numerical Taxonomy (Phylo Phen) Flashcards
Define Phenetics numerical taxonomy
Method that does not account for ancesteral and derived K states into account, and does not attemp to reconstruct evolutionary relationships. Only goal is to produce groups based on number of shared K states, quantify similaritues between taxa and utalize similarity indices as equivilency to distance between taxa to produce a phenogram.
What is a phenogram?
A tree like network that expresses phenetic relationships.
What character data does phenetics use?
molecular and morphological charecters based on morphometry with (idealy) continous variables, but can include binary, multistate qualitive traits.
Name four Analytical Approcahes within phenetics.
Cluster analysis –>similarity matrix
Principal component analysis –> original data set
Principal coordinate analysis (converts data on distances)–> dissimilarity matrix ( allows mixed data type)
Canonical variate analysis ( AKA one way multivariate analysis) —> original data set
Phenograms represent what, but not what?
Phenograms represnet similarity between taxa but not relationships.
Phenetics vs cladistics; explain the difference by comparing taxa a, b, c, and ancestor.
Briefly describe how you would construct a phenogram using molecular data.
What is UPGMA?
Unweighted Pair Group Method using Average.
Method used to create a tree (phenogram) that shows the relationships between taxa based on their average similarities, assuming a constant rate of evolution.
What is the neighbor-joining method?
The Neighbor-Joining method starts with a distance matrix showing differences between organisms and begins with a simple star-like tree (unresolved tree). It iteratively adjusts the tree to minimize the total branch lengths, finding the best arrangement of organisms. The process continues until a fully resolved tree is created, showing the relationships and branch lengths between all organisms. uses topology
In terms of the neighbor-joining method, define topology
A star network
How do you construct a phenogram? (four steps)
- Establish K/matrix
- establish distance matrix (matrix of diff between each pair of taxa)
- use calc algorithin (UPGMA, Neighbor-joining…)
- Results: Phenogram (more K state taxa share, more morphologically close).
Describe the Index of Dissimilarity using taxa A, B, and C and reconstruct graphically.
- Difference between A and B (A/B) = 0.7
- Difference between A and C (A/c)= 0.4
- Difference between B and C (B/C) = 0.9
- A and C share the highest number of similarities
- (A/C )= 0.4 => 0.4/2 = 0.2
- Then, (A/B) = 0.7 and (B/C) = 0.9
- What is the distance between A and (B,C)?
- Average distance of (A/B) and (B/C): (0.7 + 0.9)/2 = 0.8 and 0.8/2=0.4