Document 11743577

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9/22/14  

Effective population size N e v   the number of individuals in a theoretically ideal population having the same magnitude of random genetic drift as the actual population v   for most natural populations, smaller than the census size

N e

is

²   often substantially smaller!

Factors affecting N e v   changes in population size across generations

²   N e

= harmonic mean population size

N e

= t

#

%

$ N

1

0

+

1

N

1

+ ...

+

1

N t − 1

&

(

'

²   e.g.,

N e

= 4

"

$

#

1

1000

+

1

2000

+

1

20

+

1

1000

%

'

= 76.2

&

1  

Factors affecting N e v   sex ratio (of breeding individuals)

²   “ bottleneck ” through the less numerous sex

N e

N

= 4

N m m

+

N

N f f

²   e.g.,

N e

= 4

×

10

×

100

10 + 100

= 36.4

Factors affecting N e v   variation in “family size” (i.e., fitness)

²  

What is N e

in a haploid population in which every individual leaves one offspring?

²   Diploid?

N e

=

4 N t − 1 var( k ) + k 2

k

²   where k is family size for a pair of diploid individuals

²   what is k for a stable population?

²   poisson distribution: mean = variance

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Factors affecting N e v   sex chromosomes

²   the “ population ” size of sex chromosomes is smaller than for autosomes

²   N e

for X-linked genes:

N e

=

4

9 N m

N

N m

+ 2 f

N f

²   if N m

= N f

, then N e

= 3 N /4

²   mtDNA and Y-chromosome and females

N e

=

N /4

²   assuming equal variance in RS between males

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N = 1000; at time 0, A1 = A2 = 0.5; mt ; nuc

1

0.9

0.8

0.7

0.6

0.5

0.4

0.3

0.2

0.1

0

1 12 23 34 45 56 67 78 89 100 111 122 133 144 155 166 177 188 199 number of generations x 10

606 trials

140

120

100

80

60

40

20 mt nuc

0

100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000 2100

2000+ generations number of generations to fixation

N = 1000; at time 0, A1 = A2 = 0.5

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Factors affecting N e v   population structure with gene flow

²   population subdivision maintains relatively greater genetic diversity (slows the process of drift to fixation in the overall population)

N e

= ND

!

1+

"

1

4 Nm

$

&

%

²   …where N is the population size in each of D demes and demes m is the migration rate between

Factors affecting N e v   breeding sex ratio v   fluctuation in population size v   variance in family size (or # offspring) v   number of gene copies

²   sex chromosomes, mtDNA v   population structure

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Fig. 3.4 Random genetic drift in 107 Drosophila populations; 8 males, 8 females each generation

Why different from ideal expectations

?

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“ Identical by Descent ” v   concept used to derive theoretical expectations for N e v   Hartl & Clark develop the concept using a structured population model (Fig. 3.9)

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v   Fig. 3.9

Overall average allele frequency stays the same but heterozygosity declines

Fig. 3.5 Predicted distributions of allele frequencies in replicate populations of N = 16

Fig. 3.9 (last slide) is showing the exact same process as this figure

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“ Identical by Descent ” v   what is the probability that two randomly sampled alleles are identical by descent (i.e.,

“ replicas of a gene present in a previous generation ” )?

²   Wright ’ s “ fixation index ” F v   at the start of the process (time 0), “ declare ” all alleles in the population to be unique or unrelated, F t

= 0 at t = 0 v   in the next generation, the probability of two randomly sampled alleles being copies of the same allele from a single parent = 1/(2 N ) , so…

“ Identical by Descent ”

F t

=

1

2 N

+

#

%

$

1

1

2 N

&

(

F

'

t − 1 or

F t

#

= 1- 1

$

1

2 N

&

(

'

t

8  

“ Identical by Descent ”

F t

=

1

2 N

+

#

%

$

1

1

2 N

&

(

F

'

t − 1

= probability that alleles are copies of the same gene from the immediately preceding generation plus the probability that the alleles are copies of the same gene from an earlier

or

F t

#

= 1- 1

$

1

2 N

&

(

'

t assuming F

0

= 0

compare to: mean time to fixation for new mutant =

~4 N

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Random genetic drift in 107 Drosophila populations;

8 males, 8 females each generation

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H t

=

"

$

#

1

1

2 N e

%

'

&

t

H

0

H

0 e

− t

2 N e

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Deriving the population size effect

v  

Start here:

F t

1

=

2 N

+

#

%

$

1

1

2 N

&

(

F

'

t − 1 v  

Finish here: v  

N e

= t

$

#

%

N e

N

1

0

+

1

N

1

+ ...

+

N

1 t − 1

(

'

&

are similarly based on the logic of identity by descent

(Hartl & Clark: pp. 116-122)

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