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Systematics is made up of which two fields
taxonomy and phylogenetics
Taxonomy
classifying organisms in groups
Taxon
species or genus or kingdom
Phylogenetics
reconstruction of evolutionary relationships
Rules of taxonomy
international union of zoological nomenclature
international union for algae, fungi, and plants.
Carolus Linneaus (1707-1778)
Father of modern classification system
Published Systema Naturae in 1758 (10th edition)
Hierarchical System of Classification
Domain, Kingdom, Phylum (Division), Class, Order, Family, Genus, Species
binomial nomenclature
Each species has a unique name
Better than using common names because it is more exact
Worldwide
Genus species
Genus Species
Noun + Adjective
example: Rana catesbeiana (bullfrog)
Phylogeny
Hypothesis of evolutionary relationships
Only an estimate
phylogenetic tree
graphical summary of evolutionary history
principle of parsimony
explanation that makes the fewest new assumptions is the most likely to be true
Synapomorphy
shared derived character of all members of a group
used to determine where branches should be on a phylogeny
more common than convergence and reversals
Autopomorphy
some traits are derived along a single lineage.
not useful for estimating relatedness
Plesiomorphy (symplesiomorphy)
traits may also occur because they are retained from the ancestor.
Homoplasy
the same traits may be independently derived in different lineages
convergence and reversals
example: seal and penguin flippers, flight in birds, bees, and bats
convergent evolution
produces homoplasies aka analogous structures
Maximum Parsimony Method
minimizes total amount of evolutionary change in a tree
Parsimony and Phylogeny
most closely related taxa should have the most traits in common
Morphological characteristics
1.well-established
2.less expensive
3.lots of material
4.genetic basis often poorly understood, but effectively examining many "genes" at one time
5.can examine fossil taxa
6.can look at more individuals more often
molecular characteristics
1. huge number of characters
2.closer to real genetic basis
3.better models of how characters evolve
4. more amenable to certain analyses (maximum likelihood, Bayesian analysis
Three principles of cladistics
1. Any group of organisms is related by descent from a common ancestor
2. There is a bifurcating pattern of cladogenesis
3. Change in characteristics occurs in lineages over time
Outgroup
closely related taxon that is used instead of the ancestor
tells us which are derived and which are ancestral
When no convergence or reversal occurs
all synapomorphies are congruent
When all nodes are not congruent
goal is to minimize homoplasy
Cladogram
tree made using synopomorphies
clade
monophyletic group
Monophyletic group
All members are believed to stem from a single common ancestor, and the group includes this common ancestor
Paraphyletic group
Group that is monophyletic except that some descendents of the common ancestor have been left out
Polyphyletic group
consisting of unrelated lineages, each more closely related to other lineages not placed in the taxon
Paraphyletic taxa
common
reptiles with respect to birds
bony fishes with respect to tetrapods
Polyphyly
less common and more worrisome
Order Cetacea
whales and dolphins
Synapomorphies of cetacea
loss of posterior limbs
Order Artiodactyl
even-toed ungulates: pigs, camels, cattle, and hippos.
Morphological characters (Phylogeny of Whales)
skeleton
Molecular characters (Phylogeny of Whales)
Allozymes, RFLPs, DNA sequences
Astragalus
ankle joint bone
Fossil Whales
Ancient whale fossils share many characteristics with both extant whales and artiodactyls
Whale-like ear bones
Artiodactyl-like astragalus
How do we evaluate confidence in a tree?
Bootstrap values are percentages of the number of times the same branch arose after repeated sampling
Bootstrap support over 70% indicates that the correct relationship was probably found
Investigators usually report any bootstrap value over 50%
Reconstruction Criteria (most used modern methods)
distance based methods (neighbor-joining)
maximum likelihood
Bayesian analysis
coalescent methods
Distance methods
are typically VERY fast and easy to use to estimate a phylogenetic tree
they are not cladistic because they do not look for synapomorphies, but rather overall similarity
susceptible to lots of error when a dataset has lots of homoplasy
are not often used except as a starting point for more rigorous analyses
When using distance methods to reconstruct
species with the LEAST genetic distance between them are assumed to be CLOSE relatives
Maximum Likelihood
assumes a particular probabilistic model of sequence evolution and then calculates for each tree the probability of the data given the tree. P(data|tree)
Calculates the Likelihood statistic, which helps estimate the topology of the tree
Uses all data, even autapomorphies and invariant sites
Uses a particular model of evolution to help estimate the topology (tree shape) and branch lengths of the tree
Models can be simple (like parsimony) or very complex, the data is used to estimate which model to use.
Bayesian Methods
P(tree|data)
Ask what the probability is of a particular tree being correct, given the data and a model of evolution.
Bayesian approaches are typically coupled with Monte Carlo (MC) approaches to search „tree-space‟ (e.g. MetropolisCoupled Markov Chain Monte Carlo, or MC3)
Excellent method of inference!
Coalescent Methods
Model genetic drift backward in time with birth-death processes until gene variants "coalesce" in common ancestors (each gene considered separately, then information combined)
Can incorporate recombination, selection, gene flow, many other evolutionary/demographic processes
SINE/LINE
Short/Long Interspersed Elements
Non-coding DNA inserted into genomes (retrotransposons)
Molecular Clock
It is hypothesized that molecular change happens at a steady rate
Clocks for a variety of taxa have been estimated to tick at a rate of 2% sequence divergence per million years
This used mitochondrial genes (different genes evolve at different rates)