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Transcript
Lecture 19
: Mutation
November 2, 2012
Last Time
 Human origins
 Human population structure
 Signatures of selection in human
populations
 Neanderthals, Denisovans and Homo sapiens
Today
Mutation introduction
Mutation-reversion equilibrium
Mutation and selection
What Controls Genetic Diversity Within
Populations?
4 major evolutionary forces
Mutation
Drift
+
-
Diversity
+/Selection
+
Migration
Mutation
Primary driver of genetic diversity
Main source of new variants within a
reproductively isolated species
Mutation often ignored because rates assumed to
be extremely low relative to magnitude of other
effects
Accumulation of mutations in population primarily
a function of drift and selection PLUS rate of
back-mutation
Mutation rates are tough to estimate!
Spontaneous mutation rates
 Schlager and Dickie (1967) tracked
spontaneous mutation at 5 loci
controlling coat color in 7.5 million house
mice
 Forward > Backward mutation
http://jaxmice.jax.org
http://www.gsc.riken.go.jp
Mutation Rates can Vary Tremendously
Among Loci
 Length mutations occur much more frequently than point
mutations in repetitive regions
 Microsatellite mutation rates as high as 10-2
Source: SilkSatDB
Question:
Do most mutations cause reduced
fitness?
Relative Abundance of Mutation Types
Most mutations are
neutral or ‘Nearly
Neutral’
A smaller fraction
are lethal or
slightly deleterious
(reducing fitness)
A small minority are
advantageous
Types of Mutations (Polymorphisms)
Synonymous versus
Nonsynonymous SNP
 First and second
position SNP often
changes amino acid
 UCA, UCU, UCG, and
UCC all code for
Serine
 Third position SNP
often synonymous
 Majority of positions
are nonsynonymous
 Not all amino acid
changes affect
fitness: allozymes
Nuclear Genome Size
 Size of nuclear
genomes varies
tremendously among
organisms
 Weak association with
organismal complexity,
especially within
kingdoms
Arabidopsis thaliana
Poplar
Rice
Maize
Barley
Hexaploid wheat
Fritillaria (lilly family)
120 Mbp
460 Mbp
450 Mbp
2,500 Mbp
5,000 Mbp
16,000 Mbp
>87,000 Mbp
Noncoding DNA accounts for majority
of genome in many eukaryotes
 Intergenic space is larger
 Transposable element insertions (Alu in humans)
Genic Fraction (%)
Noncoding DNA accounts for majority
of genome in many eukaryotes
Genome Size (x109 bp)
Intron Size Partly Accounts for Genome
Size Differences
log(number of introns)
Aparicio et al. 2002, Science 297:1301
Human: 3500 Mbp
Fugu: 365 Mbp
Intron Size (bp)
Composition of the Human Genome
Lynch (2007)
Origins of
Genome
Architecture
What is the probability of a mutation hitting a
coding region?
Reverse Mutations
 Most mutations are “reversible” such that original
allele can be reconstituted
 Probability of reversion is generally lower than
probability of mutation to a new state
Possible States for Second Mutation at a Locus
Thr Tyr Leu Leu
ACC TAT TTG CTG
Reversion
A
C
ACC TCT TTG CTG
Thr Ser Leu Leu
C
T
ACC TTT TTG CTG
Thr Cys Leu Leu
ACC TGT TTG CTG
C
G
Thr
Phe Leu Leu
Allele Frequency Change Through Time
 With no back-mutation:
p1  p0  p0
 (1   ) p0
pt  (1   ) p0
t
 How long would it take to reduce A1 allele frequency
by 50% if μ=10-5?
Two-Allele System with Forward and Reverse
Mutation
A1
µ
ν
A2
where μ is forward mutation rate, and ν is reverse
mutation rate
 Expected change in mutant allele:
q  p q
Allele Frequency Change Driven By Mutation
q  p q
q    q(   )
 Equilibrium between forward and reverse mutations:
qe 

(   )
pe 

(   )
Allele Frequency Change Through Time with
Reverse mutation
Allele Frequency (p)
Reverse Mutation (ν)
Forward Mutation (µ)
Mutant Alleles (q)
Equilibrium Occurs between Forward and Reverse
Mutation
Is this equilibrium stable or unstable?
μ=10-5
qe 

(   )
 Forward
mutation 10-5
 Lower rate of
reverse
mutation
means higher
qeq
Mutation-Reversion Equilibrium
pe 

(   )
where µ=forward mutation rate (0.00001)
and ν is reverse mutation rate (0.000005)
Mutation-Selection Balance
 Equilibrium occurs when creation of mutant allele is
balanced by selection against that allele
 For a recessive mutation:
2
sq p
qs  
1  sq 2
 At equilibrium:
qmu  qs  0
q eq 
2

s
qeq 
qmu  p
2
sq p
p 
2
1  sq

s
assuming:
1-sq21
What is the equilibrium allele
frequency of a recessive lethal with
no mutation in a large (but finite)
population?
What happens with increased forward
mutation rate from wild-type allele?
How about reduced selection?
qeq 

s
Balance Between Mutation and Selection
Recessive lethal allele with s=0.2 and μ=10-5
Muller’s Ratchet
 Deleterious mutations accumulate in haploid or asexual
lineages
 Driving force for evolution of recombination and sex
Mutation-Selection Balance with Dominance
 Dominance exposes alleles to selection, and therefore
acts to decrease equilibrium allele frequencies
qeq 

for h>>0
hs
 Complete Dominance of A2:
qeq 

s
 Recessive Case:
qeq 

s
Which qeq is larger?
Why?
Effect of dominance and selection on allele
frequency in mutation-selection balance (μ=10-5)
 Drastic effect of
dominance on
equilibrium
frequencies of
deleterious alleles
 Exposure to
selection in
heterozygotes
recessive case
What if the population is not infinite?
Fate of Alleles in Mutation-Drift Balance
p=frequency of new
mutant allele in
small population
 Time to fixation of a
new mutation is much
longer than time to loss
1
u ( p) 
2N
 An equilibrium occurs
between creation of new
mutants, and loss by drift
1
u (q)  1 
2N
u(p) is probability of fixation
u(q) is probability of loss
Infinite Alleles Model (Crow and Kimura Model)
 Each mutation creates a completely new allele
 Alleles are lost by drift and gained by mutation: a
balance occurs
 Is this realistic?
 Average human protein contains about 300 amino acids
(900 nucleotides)
 Number of possible mutant forms of a gene:
n4
900
 7.14 x10
542
If all mutations are equally probable, what is
the chance of getting same mutation twice?
Infinite Alleles Model (IAM: Crow and Kimura
Model)
 Homozygosity will be a function of mutation and
probability of fixation of new mutants
 1

1
ft  
 (1 
) f t 1 (1   ) 2
2 Ne
 2Ne

Probability of
Probability of
sampling same allele
sampling two alleles
twice
identical by descent
due to inbreeding in
ancestors
Probability neither
allele mutates
Expected Heterozygosity with Mutation-Drift
Equilibrium under IAM
 1

1
ft  
 (1 
) f t 1 (1   ) 2
2 Ne
 2Ne

 At equilibrium ft = ft-1=feq
 Previous equation reduces to:
Ignoring μ2
1  2
f eq 
4 N e   1  2
Ignoring 2μ
1
f eq 
4Ne   1
 Remembering that H=1-f:
4Ne 
He 
4Ne   1
4Neμ is called the
population mutation rate
Equilibrium Heterozygosity under IAM
4Ne 
He 
4Ne   1
 Frequencies of
individual alleles are
constantly changing
 Balance between loss
and gain is maintained
 4Neμ>>1: mutation
predominates, new
mutants persist, H is
high
 4Neμ<<1: drift
dominates: new
mutants quickly
eliminated, H is low
Effects of Population Size on Expected Heterozgyosity
Under Infinite Alleles Model (μ=10-5)
 Rapid approach to equilibrium in small populations
 Higher heterozygosity with less drift