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Quantifying the distribution of variation

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Presentation on theme: "Quantifying the distribution of variation"— Presentation transcript:

1 Quantifying the distribution of variation
within individuals within subpopulations among subpopulations (in total population)

2 Quantifying the distribution of variation
within individuals within subpopulations among subpopulations (in total population)

3 Quantifying the distribution of variation
I = individuals S = subpopulations T = total population H is observed heterozygosity (# heterozygotes/N) in a population HI is observed heterozygosity (# heterozygotes/N) averaged over individuals in all subpopulations HS is expected heterozygosity in each subpopulation if it was in H-W equilibrium, averaged across subpopulations HT is expected heterozygosity if subpopulations are combined as one population

4 Quantifying the distribution of variation
I = individuals S = subpopulations T = total population H is observed heterozygosity (# heterozygotes/N) in a population HI is observed heterozygosity (# heterozygotes/N) averaged over individuals in all subpopulations HS is expected heterozygosity in each subpopulation if it was in H-W equilibrium, averaged across subpopulations HT is expected heterozygosity if subpopulations are combined as one population HS HT HS HS

5 Quantifying the distribution of variation
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation (if it was in H-W equilib.) averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population AA AA Aa aa aa Aa Aa Aa Aa AA p H /5 = /5 = 0.8

6 Quantifying the distribution of variation
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation (if it was in H-W equilib.) averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population AA AA Aa aa aa Aa Aa Aa Aa AA p H /5 = /5 = 0.8 HI ( )/2 = 0.5

7 Quantifying the distribution of variation
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation (if it was in H-W equilib.) averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population AA AA Aa aa aa Aa Aa Aa Aa AA p H /5 = /5 = 0.8 HI ( )/2 = 0.5 HS (av. of 2pq) 2 x 0.5 x 0.5 = x 0.6 x 0.4 = 0.48 ( )/2 = 0.49 If all subpopulations were in H-W equilibrium, HI would = HS

8 Quantifying the distribution of variation
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation (if it was in H-W equilib.) averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population AA AA Aa aa aa Aa Aa Aa Aa AA p H /5 = /5 = 0.8 HI ( )/2 = 0.5 HS (av. of 2pq) 2 x 0.5 x 0.5 = x 0.6 x 0.4 = 0.48 ( )/2 = 0.49 HT (2 x pav x qav) x 0.55 x 0.45 = 0.495

9 Quantifying the distribution of variation
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation (if it was in H-W equilib.) averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population AA AA Aa aa aa Aa Aa Aa Aa AA p H /5 = /5 = 0.8 HI ( )/2 = 0.5 HS (av. of 2pq) 2 x 0.5 x 0.5 = x 0.6 x 0.4 = 0.48 ( )/2 = 0.49 HT (2 x pav x qav) x 0.55 x 0.45 = 0.495 If all subpopulations were the same, HS would = HT

10 FIT – reduction in heterozygosity of individuals relative to
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population FIT – reduction in heterozygosity of individuals relative to whole population FIT = HT – HI HT 

11 FIT – reduction in heterozygosity of individuals relative to
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population FIT – reduction in heterozygosity of individuals relative to whole population FIT = HT – HI HT  - any departure from single panmictic population will lead to significant value - used to detect departures from Hardy-Weinberg equilibrium in total population

12 HI observed heterozygosity averaged over individuals in all subpopulations
HS expected heterozygosity in each subpopulation averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population FIS - inbreeding coefficient of individual relative to its sub- population (change in H due to non-random mating) FIS = HS – HI HS

13 HI observed heterozygosity averaged over individuals in all subpopulations
HS expected heterozygosity in each subpopulation averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population FIS - inbreeding coefficient of individual relative to its sub- population FIS = HS – HI HS used to detect departures from Hardy-Weinberg equilibrium in "good" populations positive value = heterozygote deficiency (Wahlund effect) zero value = all sub-populations in Hardy-Weinberg equilibrium (random mating within subpopulations) negative value = heterozygote excess

14 FST - inbreeding coefficient of sub-population relative
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population FST - inbreeding coefficient of sub-population relative to the whole population = fixation index FST = HT – HS HT

15 FST - inbreeding coefficient of sub-population relative
HI observed heterozygosity averaged over individuals in all subpopulations HS expected heterozygosity in each subpopulation averaged across subpopulations HT expected heterozygosity if subpopulations are combined as one population FST - inbreeding coefficient of sub-population relative to the whole population = fixation index FST = HT – HS HT measures degree of population differentiation within species (always positive) 0.00 = sub-popns have same allele frequencies = moderate differentiation = great differentiation >0.25 = extremely different 1.0 = popns fixed for different alleles

16 Dispersal and gene flow
Taxa (# species) Fst Amphibians (33) 0.32 Reptiles (22) 0.26 Mammals (57) 0.24 Fish (79) 0.14 Insects (46) 0.10 Birds (23) 0.05 Plants – animal poll. 0.22 Plants – wind poll. 0.10

17 Quantifying the distribution of variation
HI observed heterozygosity averaged over individuals in all subpopulations (# heterozygotes/ total N) HS expected heterozygosity in each subpopulation (if it was in H-W equilib.) averaged across subpopulations (# heterozygotes/total N) HT expected heterozygosity if subpopulations are combined as one population HI HS HT AA, AA, AA , AA BB, BB, BB, BB AA, AB, AB, BB AA, AB,AB, BB AB, AB, AB, AB AB, AB, AB, AB AA, BB, BB, BB AB, AB, AA, BB

18 Quantifying the distribution of variation
FIS - inbreeding coefficient of individual relative to its sub- population FIS = HS – HI HS positive value = heterozygote deficiency zero value = all sub-populations in Hardy-Weinberg equilibrium negative value = heterozygote excess HI HS HT FIS AA, AA, AA , AA BB, BB, BB, BB AA, AB, AB, BB AA, AB,AB, BB AB, AB, AB, AB AB, AB, AB, AB AA, BB, BB, BB AB, AB, AA, BB

19 9 populations examined at 21 loci
FIS = 0.49 high level of inbreeding? dioecious – so likely due to clustering of relatives Pacific yew (Taxus brevifolia)

20 Quantifying the distribution of variation
FIT - reduction in heterozygosity of individuals relative to whole population FIT = HT – HI HT used to detect departures from Hardy-Weinberg equilibrium in total population HI HS HT FIT AA, AA, AA , AA BB, BB, BB, BB AA, AB, AB, BB AA, AB,AB, BB AB, AB, AB, AB AB, AB, AB, AB AA, BB, BB, BB AB, AB, AA, BB

21 Quantifying the distribution of variation
FST - inbreeding coefficient of sub-population relative to the whole population FST = HT – HS HT measures degree of population differentiation within species (always positive) HI HS HT FST AA, AA, AA , AA BB, BB, BB, BB AA, AB, AB, BB AA, AB,AB, BB AB, AB, AB, AB AB, AB, AB, AB AA, BB, BB, BB AB, AB, AA, BB

22 9 populations examined at 21 loci
FST = 0.078 Low to moderate level of population differentiation Pacific yew (Taxus brevifolia)


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