learning goal understand the evolution of complexity

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Learning Goal • Understand the evolution of complexity

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Learning Goal

• Understand the evolution of complexity

Expected Learning Outcomes

1) Visualize fitness as a function of gene function for one and two genes with and without pleiotropy

2) Construct and explain a plausible model for the evolution of increased complexity

3) Describe and discuss the role of gene duplication and pleiotropy in the evolution of complexity

4) Infer the history of gene duplication and shifts in gene function using phylogenetic inference

History of Life

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Last universal common ancestor was a derived, complex organism

First common ancestor was a very simple organism

Complex Unicellular

Life

Complex Unicellular

Life

Complex Multicellular

Life

Complexity

Complexity evolves by the piece-meal addition and modification of existing parts and the sorting of variation by natural selection over long periods of time.

Origin of LifeQuickTime™ and a

TIFF (Uncompressed) decompressorare needed to see this picture.

Hypercycles

The First Gene?

epistasis

self-replicating ribozymes

consolidationpleiotropy

GeneProofreadingMetabolismSynthesis

The First Gene

gene

functions

pleiotropy

ProofreadingMetabolismSynthesis

Pleiotropy

gene

pleiotropy

ReplicationProofreadingMetabolismSynthesis

How many functions are possible?

What is the limit to the number of different functions that can be encoded by a gene?

functions

GraphDraw a frequency distribution showing what you might expect if you examined each gene and recorded the number of different functions each gene performed (i.e. pleiotropy)

pleiotropy

Pleiotropy(Number of different functions)

Num

ber

of g

enes

Choose Your GraphA) B)

C) D)

E) None of these are my graph

Observed Pleiotropy

From Wagner and Zhang Nature Genetics Reviews

Yeast: a highly derived eukaryote

Only 1 function

Seven different functions

A More Complex Critter

From Wagner and Zhang Nature Genetics Reviews

Graph It

Number of different functions

Eff

icie

ncy

of a

pa

rtic

ular

fun

ctio

n

How does pleiotropy influence the ability of the gene product to perform a specific function?

A B

C D

E) My graph not shown

Evolutionary Model

gene

pleiotropy

The Fitness ModelDraw a graph of function (x-axis) versus fitness (y-axis) that represents a model for antagonistic pleiotropy

W

Function

1 2

Function

RedundancyPartial sub-functionalization

Full sub-functionalization

What does your graph look like?

Fitne

ss

Function

Fitne

ss

FunctionFitne

ss

Function

Fitne

ss

Function

A

B

C D

1 2

Function

E) My graph is not shown

Given the model, what is the expected function in the population?

A)

B)

C) The function where the two lines crossD) The average of and .

FunctionF

itnes

s

1 2

1 2

Function

Fitn

ess

X

1 2

On a piece of paper, draw this graph and use it as a model to show the fitness cost of pleiotropy relative to a model in which there is not antagonistic pleiotropy

Function

Fitn

ess

Function

A

Fitn

ess

1 2B

C

D

Choose the value that best represents the fitness cost of antagonistic pleiotropy relative to a model without pleiotropy.

Fitness cost of pleiotropy

Function

a

b

Fitn

ess

1 2

SubfunctionalizationPleiotropy

Fitness

Function

a b

Fitness cost of pleiotropy

Optimum

Ancestral Condition

Gene Duplication

gene

pleiotropy

gene gene

Duplication

redundant pleiotropy

Subfunctionalization

Redundancy Partial sub-functionalization

Pleiotropy

Fitness

Function

a b

Mutation

Selection

Reduced pleiotropy

Function

Blue

RedF

itnes

s

New expected fitness

Function

Fitn

ess

New expected fitness

A B C D E

Choose the expected trait value (function) for the red gene after the blue gene undergoes subfunctionalization

A) AB) BC) CD) DE) E

Subfunctionalization

Redundancy Partial sub-functionalization

Full sub-functionalization

Pleiotropy No pleiotropy

Fitness

Function

a b

Mutation

Selection

Mutation

Selection

Reduced pleiotropy

Draw the Fitness Model for the Derived Condition

Full sub-functionalization

Pleiotropy No pleiotropy

Fitness

Gene Function

a b

?Ancestral Derived

Conceptual Model

Full sub-functionalization

Pleiotropy No pleiotropy

Fitness

Gene Function

a b

Fitnes

s

Gene Function

a Gene Function

Single peak

b

Conceptual Model

Full sub-functionalization

Pleiotropy No pleiotropy

Fitness

Gene Function

a b

Fitnes

s

Gene Function

aGene Function

b

Two-fold increase in complexity

One axis to two

Neofunctionalization

Redundancy Partial sub-functionalization

Neofunctionalization

Time

New function

Mutation

Selection

Mutation

Selection

What Does This Fitness Model Look Like?

New function

Fitnes

s

Gene Function

Gene Function

Visualization

New function

Fitnes

s

Gene Function

Gene Function

MultiplePeaks

How Would You Visualize the Model with a Third Independent Variable?

(i.e 3 genes)

Visualization With Three Genes

Gene 3

Gene 1

Gene 2Fitness High

Low

Thinking About Duplication and Functional Divergence in

the Context of Phylogeny

Functions

Gene

GeneexpressionGenes

One geneTwo functions

Two genesEach gene has two functions

Three genesEach gene has one function

Gene

Functions

Note on the tree where gene duplication, subfunctionalization and neofunctionalization happen using parsimony

D = DuplicationS = SubfunctionN = Neofunction

Gene

Note on the tree where gene duplication, subfunctionalization (subfunction) and neofunctionalization (neofunction) happen using

parsimony

A) 1 = duplication, 2 = subfunction, 3 = neofunction

B) 1 = neofunction, 2 = subfunction3 = duplication

C) 1 = subfunction, 2 = neofunction,3 = duplication

D) 1 = duplication,2 = neofunction3 = subfunction

3

2

1

Gene

Functions

Note on the tree where gene duplication, subfunctionalization and neofunctionalization happen using parsimony

D = DuplicationS = SubfunctionN = Neofunction

D

S

N

Gene

Functions

Infer the history of gene duplication, loss and functional modification

Note the ancestral states for each internal node

D = DuplicationS = SubfunctionN = NeofunctionL = Gene loss

Gene

Nodes

Regulatory Genes

History of Gene Duplication