Population genetics - Migration Flashcards

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1
Q

What does migration usual conjur up

A

Organism moving across space

examples:
1. Wildbeasts across area – variation in raine = drives popultion shifting range

  1. Artic turns
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2
Q

What do we mean by migration

A

Emigration + imigration drynamics between sub popultions
- When indiviual in one popultions contrubutes to genes in other popultion

Movement of alleles from one breeding popultion to another breeding popultion
- Indiviouals departing from or arriving in a new breeding popultion

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3
Q

What does migration violate in H-W

A

H-W = no one can go in or out –> when you are born into a popultion you contrubute to that popultion and no one comes in
- Violating the 3rd assumption

This is the assumption we are violateing to model migration

NOW the gentic makeup of the new generation is NOT just a function of within popultion reproductive dynamics – NOW it also includes some input from other popultions

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4
Q

Migration example

A

Can get movemnt between the forest and evergaldes black bears or night not get any migration

Individuals going between popultions birng alleles to the other popultion –> move from one gene pool to another gene pool

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5
Q

Two models of migration

A
  1. Continent island model – larger popultion going to smaller
  2. Two island model – recpiprcal gene flow (this is the one we use)
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6
Q

Migration model

A

Start = have 2 subdivided popultions with difefrent alelles frequnceies

AT H-W –
Poplation 1 – P = 0.8 –> p1 = 0.8

Popultion 2 – P = 0.2 –> p2 = 0.2

At H-W the allele frequencies would stay the same (no migration) –> BUT THEN we can swap individulas at a rate of m

m = proportion of one population that will contrubute to reproduction pool of other popultion in the next generation

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7
Q

m in migration models

A

Proportion of popultion that contributes to the next generation of the other popultion

HERE = we assume that m is the same for both popultions
- We could do m1 and m2 for each popultion BUT we willl treat m symetrically

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8
Q

Things we need to account for in migration model

A
  1. m – proportion of popultion that contributes to the next generation of the other popultion
    • Input
  2. m - 1 – need to account for individuals leaving popultion (need to take account loss)
    • Loss from original population
    • Loss of migrants from our focal popultions
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9
Q

Change in allele frequencey in migration model

A

Get chnage in allele frequency because move individuals in and out = undergo evolutionary change

Looking m and 1-m = allele frequencies change

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10
Q

Mathamatical model of migration

A

𝑝′1 = (1 − 𝑚) (𝑝1) + (𝑚)(𝑝2)
- 1-m X p1 – only have individulas with p1 allele frequncey
- m = migration rate
- m X p2 – get indiviuals at a raye of m at P2 allele frequncey

𝑝′2 = (1 − 𝑚) (𝑝2) + (𝑚)(𝑝1)

p’ = allele frequncey in the next generation

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11
Q
A

(1- 0.05) X (0.8) – only 95% f 0.8 allele frequncey contribute to next generation

(0.05) X o.2 - 5% of popultion have frequncey of 0.2

Because the system is symetrical migration chnage alelle in both popultion by same amount in different direction (because same m)
- Since we set up the system to be symetrcal (same m for both) = they change by the same amount

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12
Q

Change in alelle frequncey in both popultions

A

Because the system is symetrical migration chnage alelle in both popultion by same amount in different direction (because same m)
- Since we set up the system to be symetrcal (same m for both) = they change by the same amount

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13
Q
A

Popultion A – allele frequnceies are close together
- P goes up in ine popultin and down in the other by the same amount
- Allele frequncey chnage in A is smaller than B because allele frequncey in A is already similar to begin with

Popultion B the allele frequcneies are far apart
- Even though the allele frequncey is NOT the same = the allele frequcney chnage is still is –> means that suymetery in chnage is not because of p being mirrories it is becuase m is the same

Pop A vs. Pop B.
- Allele frequncey chnage in A is smaller than B because allele frequncey in A is already similar to begin with

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14
Q

Affect of same m

A

If m is the same = p chnages by the same amount in different directions in both popultions
- Even though the allele frequncey is NOT the same = the allele frequcney chnage is still is –> means that suymetery in chnage is not because of p being mirrories it is becuase m is the same

dP = same –> sign is different but the absolute value is the same
- Even if allele frequncey is not symetric dP still is if m is the same for both popultions

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15
Q

What is happening with migration over time

A

Use general dP –

dP = m(p2 - p1)
- Assume m is the same
- p2 - p1 – Frequcney of same allele in popultions 2 vs population 1 –> drives magnitude of change

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16
Q

End point of migration

A

if dP = 0 –> get equillirbium point - get an end point of popultion

IF migration is ongoing dP = 0 when P2 = p1 (when the allele frequnceies are identical)
- Have end point in middle + know what endpoint is

END – P2 = P1 –> end is when dP = 0

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17
Q

Migration is…

A

Determanistic – have an endpoint and know what the endpoint os –> if you know the start you can know what effect will be
- Migration will go until p2 = p1

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18
Q

Effect of migration

A

Migration acts to decrease genetic diffeerntaion between popultions – homogenizes genetic varaition across subdivided popultions
- If migration keeps occuring popultions will evenually have the same alelle frequncey
- Makes allele requncies of popultion more similar through time until there is no difference between thwm

Homogenize until get equal Pt (will end equal to the frequncey across popultions Pt)

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19
Q

Pt

A

If two popultions were in one popultions what would overall p be
- Allelic varaition in total popultion if subdivided were in one popultion
- Pt = used to find Ht = Heterpzygosity across popultions

THIS is what migration pushes P to in each popultion – pushes to average of 2 alleles
- Migration acts to drive P1 and P2 towards PT

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20
Q

FST of drift vs. migration

A

Drift = increases FST towards 1
- Drift = makes Pt less similar
- Increases differences between popultions

Migration decreases FST towards 0
- decrwases difefrences between popultions
- Make popultions converge of Pt

Migration and drift = in direct opposition
- If migration acts to dirve P1 and P2 towards PT = acting in direct opposition of drift

Can find an equillirbium between the two

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21
Q

Meaning of FST

A

Increase difefrence between popultions

FST = 1 = no shared alleles (have P = 1 and P =0)

FST = 0 – ni allele frequency differences (they are the same)

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22
Q

FST

A

The measure of genetic differentiation between subdivided popultions

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23
Q

Drift vs. Migration

A

If migration acts to drive P1 and P2 towards Pt = acting in direct opposition to drift
- Effects can be viewed in terms of FST

Have an equillibrum point where forces balance out

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24
Q

Drift vs. migration equillbirum point

A

FST>

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25
Q

Size of m and FST>

A

If m is smalle (less than 10-15%)– can calculate FST at equillirbium between drift and migrayion –>
𝐹𝑆𝑇= 1/4𝑁𝑒𝑚+1

Nem = efefctive popultion size times the migraytion rate = the numver of effective migrants per generation
- Nem = improtant term
- Assume that level of FST = due to equillibrum between drift and migration = can use FST to see number of migrants moving in generation

***Ne and m = hard ot gte iun popultionn but they are meaningful

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26
Q

Use of FST

A

Assume that level of FST = due to equillibrum between drift and migration = can use FST to see number of migrants moving in generation

Given a value of FST = can find Nem = can find expected number of effective migrants
- Here we assuime that the popultions are at equillbirum

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27
Q
A

FST = 0.0476 –> FSt is much closer to 0 than 1 = these popultions are much more alike than they are different

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28
Q

Changing Ne

A

If increase Ne – loosing FST vakue = FST decreases

Increase Ne = FST decreases because ability for drift to maintain allele frequncey difefrences decreases and migration is strong

Increase Nem = favor of migration over drift = become similar

Decrease Nem = favor drift = miantain differences

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29
Q

FST> with larger popultion size

A

FST> = 0.0243

Increase Nem = favor of migration over drift = become similar

Decrease Nem = favor drift = miantain differences

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30
Q

FST at equillibrium

A

if m is small we can calculate FST at equillirium between drift and migration

FST> = 1/4Nem+1

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31
Q

Nem term

A

Effective population size times the migration rate – it is the number of effective migrants per generation

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32
Q

Meaning of FST

A

FST = equilibrium point between the effects of drift and effect of migration
- It is a function of migration rate and strength of drift

THIS IS A PUSHING EAQUILLIBRIUM = stable equillirbium between the two forces

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33
Q

Affect of drift vs. Affect of mutation

A

Drift = causes allele frequncey to be more different

Migration = Homogenoizes to Pt (Causes allele frequncey to be the same)

We can define an equillrbium point

34
Q

FST

A

Metric of genetic difference between populations – how different are two populations genetically
- Look at FST by looking at varaition within and across popultions – take observed vs. expected form

35
Q

How do we find FST (overall)

A

Take observed vs. expected form
- Compare heterozygosity in sub popultion to total variation

FST = Ht - Hs/Ht
- Ht = like epxected – expected H if they were one popultions
- Hs = observed H (Avg of sub H)

Observed parameter vs. expecteation given null

Pt (all varaition – if were one popultion) vs. how varaition is distrubuted in subdivided popultions (Hs)

36
Q

Observed in FST Vs. Expected in FST

A

Observed = looking at varaition within popultions (Hs – avergae varaition within sub popultions)

Expected = null –> Null that 2 population stae part of one popultions
- All alleles in both popultions that mized as if they were one popultions THEN what would H be (THIS IS Ht)
- Null = treating as one popultion – Avg H if one popultion

37
Q

FST (1 or 0)

A

FST = 1 – P = 1 and P = 0 –> H = 0
- Hs = 0.5 –> between the two of them
- All of varaition is between the popultions NOT within

FST = 0 – all varaition is within subdivided
- P = 0.5 and P =0.5 – allele frequencey is the same in both popultions

Low FST – allele frequncey in popultions are close together

38
Q

Ht

A

Heterozygosity across both popultions
- Equal to or greater than variation within subdivided popultions

Uses Pt – Average between P of both populations

39
Q

What can we use FST for

A

Given a value of FST – we can find the expected number of effective migrants (Can find Nem)
- Can get the number of individulas moving between 2 popultions
- Can use FST as equillirbium point –> calculte equillirbium level (FST) given strength of drift and migration rate BUT if we assume that something is already in equillirbium amd we measure FST (we know about strength of drift and migration) –> use FST to find Nem

***Can assume that the popultion we are exmaining is in equillirbium

40
Q
A

Looking at how connected the 2 popultions are

IF FST = 0.5 – assume equillirbium

Nem = 1/FST/4FST

Nem = 1-0.5/4X0.5 = 0.25
- Nem = effective number of migrants

0.25 –> means have 0.25 individuaks (can be decimal because its an average)
- Means – 1 indiviuals every 4 generations (the popultions ate quite isolated)
- 0.25 is NOT the migration rate – it is the avergae number of migrations per generation

41
Q
A

Looking at how indepent the popultions are –> you can find genotype frequncey –> use that to find FST –> get Nem

FST = 0.203 –> pretty intermediate

Nem = 0.981 –> If allelic varaition is driven by long term drift + migration = get 0.981 deer each generation
- 0.981 deer going from one to other (Since symetric = goes both ways)

42
Q

Pairwise effects of forces

A
  1. Mutation selection balance
    • Mutation adding alleles and NS getting rid of them
    • s and u
  2. The dual effect of drift and mutation driving neutral molecular evolution
    • Drift regarless of popultion size drives genotypic variation between two species
      • u and N
  3. The tension between drift and migration in subdivided populations
    • m and N
43
Q

Mutation selection balance/Mutation and drift

A

Had fairly straight foward outcomes
- Mutation creates varaition and drift

Stable equillibrium

Example: Mutation creates varaition and drift turns some of it into substitutions at a constant rate
- Straight foward outcome in nucleotide substitution –: drift taking mutation and carrying it to fixation
- u drives nucleotide substitution rate because Ne is in both equations = cancels out = only u affects the rate of process

44
Q

What drives nucleotide substitution rate

A

u drives nucleotide substitution rate because Ne is in both equations = cancels out = only u affects the rate of process

45
Q

Nature of drift and selection

A

Selection = determanistic –> predictable

Drift = Stochastic –> don’t know direction

Differences in nature of them = makes intercation complicated

***They are two of the strongest forces – how do they interact
- Complicated

Since drift = always happening –> means that selection is always at play with drift

46
Q

Drift and selection interaction

A

IMAGE:
- Left of 0 = selection predominates (negitive selection)
- Line at 0 = drift predominates
- Right of 0 = positive selection – selection predominantes
- INtersection of lines – point where drift = acting soley on alleles – there is no difefrence between drift affect on alleles and NS affect

Deviation from balance between Drift and mutation (deviation from intersection) = based on 2Nes

Probability of mutation being lost due to drift = more likley (1-1/2N)

Image = shows drift + selection simultaneously in a system (violating infinate popultion size)

Overall – there are osme parameters where selection will predominate and spme where drift will
- Popultion size decreases = stringer strength of ____ for selection to be predominante dirver of allele frequncey chnage
- Selection needs to act alongside drift – relative strength pf 2 ffoces = affects if selection can occur

Take home message – the relative magnitude of selection and drift matter – they often behave as if one force is predominant over the other

47
Q

Probability of allele going to fication

A

Probability of new allele going to fixation = 1/2N –> relative increase or decrease of probabiliy of going to fixation = based on 2N

48
Q

What effects if selection can occur?

A

Selection needs to act alongside drift – relative strength pf 2 forces = affects if selection can occur

49
Q

Importane of drift vs. selection

A

There are ranges of parameter space where one is much more important than the other

50
Q

Drift + selection on adaptive topographies

A

NS = acts to push popultions uphill – increase average popultion fitness (will go to make w/)
- Will keep going until get to a local maxiumum value of w/

How will drift affect AT?
***Drifts tendencey is not to go downhill it is just to move in either direction BUT at fitness peaks there is no where to go but down so drift pushes popultions off of fitness optima

Drift = changes alelle frequnceies randomly back and forth
- When at w/ (When at stable equillibrium) you can only go down in w/ BUT drift is not trying to decrease w/ it is just causing p to move randomly on X axis
- Drift causes back and forth movement from one generation to the next BUT if at w/ then drift can only move w/ down = drift decreases w/ because only way to go BUT if popultion is not at w/ (not at equillirbioum) then drift is equally likley to go in both dorections (Can make it decrease w/ OR can make it go uphill to w/ fatser)
- If no where to go but down drift can push popultion off of w/

51
Q

Strength of NS + drift on AT

A

Steepness of slope = proportional to the strength of selection
- If steep – a small chnage in P = bigger change in fitness = stronger repsonse of NS = NS can counteract affect of druft more readily (when steep drift is constrained on how much it can chnage things because NS can put it back to w/)
- Steep – NS is going to give strong pushback as drift is moving the popultion around
- If shallow (less steep) = can move p a lot without a big change in W/ –> when p chnages and effects w/ THEN drift can drive the system more stringly (because NS isn’t ask strong if less chnage in w/) –> drift has stronger effect here
- If shallow – the NS pushback is much weaker = drift has a much freer hand

Smaller popultion size = affect but drift is large = harder for NS to keep popultion at an optimium

52
Q

NS + Drift acting on beneficial recessive alleles

A

Recall – NS acting on beneficial recessive alleles has a hard time getting started (Slow at the start)

NS + drift = particularly impirtant for beneficial recessive alleles

Begging of recessive alelle increasing (starts slow) –> drift can move things very readily + selection is weak – drift is strong
- At low frequnceies when it is very shallow – drift can be strong –> the most likley outcome is that the benefical mutation will drift to zero before NS can get any traction
- Beneficial recssive allele = more likley to be lost due to drift than they ate to go to fixation
- Porbability of going to fixation is 1/2N BUT probability of not fixing = 1-1/2N –> drift is main threat to benefical recessive
- Recessive benefical is likley to be lost due to drift before selection can bring it to fixation (more likley lost than selection taking hold and incerasing it)

Phenomon = Holding seive

53
Q

Halanes seive

A

Overall: At low frequnceies when it is very shallow – drift can be strong –> the most likley outcome is that the benefical mutation will drift to zero before NS can get any traction
- If beneficial mutations act in rescive fashion = most liklet will come and go to drift long before selection has a chance to act on them
- Sometimes these mutations can reach high enough frequncies to start being visable to selection through drift
Effect of drift on recssive benefical alleles at low frequencey –> most is lost due to drift before selection can take hold and do things (bring to fixation)
- Affects rate of selection

54
Q

Affect of drift on rate of selection

A

Already have low mutation rates –> mutations rates give us mutations but drift can make is lost – can lose it befgore selections can do things = even lower rates of increase benefical recssive mutations

55
Q

Drift increase or decreasing beneficial mutation

A

Drift can inrease are decrease BUT it is more likley to lose it (to decrease) because once it hits zero its gone
- If you have limit that affects increase/decrease for good + if have one copy –> if you lose one copy = its gone –> loss is more likley than increasing to go to fixation

Creates limitations of NS acting on new alleles

56
Q

Outcome for new reccessive benefical allele

A

Evolutionary outcome for new recessive benefical alleles is heavily influnces by drift

57
Q

Migration + Natural Selection

A

The influx of alleles from other populations can also push populations off and adaptive peaks, or prevent them from getting to
them in the first place
- Migration coming in adapted to different environments = can push population off of peak

58
Q

Migration load

A

A lower average population fitness than predicted given selection regime due to migrants from populations with different selection regimes
- Knowck off optimum because influc of alleles adapoted elsewhere
- Espcially bad at edge of range

59
Q

Where does migration load have big effect

A

Often effects at the edge of species ranges
- When populations are well-adapted (high mean fitness) in the center of their ranges, they may send out a lot of migrants –> These migrants can interfere with
local adaptation at the range edge- perhaps even determining the range limit itself

60
Q

Example of migration load

A

Butterfly – sub optimally adapted to conditions –:> reason is because butterfly coming to island
- Get warm adpated end in small popultion = can’t adaopt to local climate

61
Q

Can migration be good?

A

Migration is not always bad –> add variation

IF the strength of selection = proportional to varaition
- Selection = lose varaition
- Waiting to get varaition through mutation (mutation is a slow source of new varaition) –> get little variation – low rate of mutation = doesn’t give varaition + lose a lot of mutation = ability to adapt if run out of varaition – wait a while to get varaition through mutation BUT migration can add varaition
- Migration = can get new alleles into focal popultion that NS can act on –> might not need to worry about losing alleles because can have others with those alles come in
- Migration can be very effective force for infusing popultions with new varaition on which selection can act

62
Q

Migration affect on NS

A

Migration - can help or hinder adaptation due to NS

63
Q

Is pushing of adopative peaks always a bad thing?

A

If have scenerio in image –> You can go to w/ = 0.35 OR can go to w/= 1

IF p goes to p> = it will stay there – this is bad because low w/ – NS can’t move it from the valley BUT other evolutionary forces can
- If went to the right of valley = would go to p = 1 – would end at w/ = 0.35
- If have other forces with selection = won’t get stuck there –> drift can chnage { and can drift acros equillirbium to the left and NS can then bring it to P = 1
- Selection can’t do this by itself but it can with other forces – drift opens up posibility
- Selection + drift = two step process involoving chnage in predominance of first (first drift predominates then selection)

OR migration can come in – other population with benefical allele can come in – they can send migrants –> migrants can go to the focal popultion and can bring P across equillibrium and allow NS to bring P = 0 and w/ = 1

NS by itself can’t bring the popultion to the global optimum but selection in conjuction with other forces can

64
Q

Wrights theory (overall)

A

Back during the modern synthesis, Sewall Wright proposed a model for how the interplay of evolutionary forces might be a more powerful mode of evolutionary change than selection by itself
- Thinkning about limits of NS and need other dorces to get complex traits

It’s called ”shifting balance” between it involves shifts in the predominance of the evolutionary forces acting on a species
- Think about how relative importance of forces might shift in system

65
Q

When is wrights model useful

A

Particuly useful for thinkning about ways that evolution can act when adaptation is complex
- Model on how to adapt across rigged AT –> how to cross adaptive valley if NS can’t do that by itself

66
Q

Rugged adaptive topographies

A

Have more than one local maximum

67
Q

How to think about Rugged topographies

A

It is more realistic to think in multiple dimensions

Example – image
- Can see two traits
- Rugged topography because 2 points of high fitness states –> Can’t go between points without decrease w/ –> NS can’t go between them itself
- Have local optimum at combination of low values or trait 2 and moderate values of trait 1
- Have global optimum at combination of moderatley high values of trait 2 and highest values of trait q
- Highest fitness = high trait 2 and high trait 1
- There are two possibilities on high w/ based on right combination of trait values –> need right combo to have right value

68
Q

Going from local optimum to global optimum with on NS

A
69
Q

What makes adaptive topographies rigged

A

Epistsis – due to epistasis –> intercation between loci and affect on fitness
- Cam’t know affect of 1 locus on fitness without knowing the state of other trait
- Affect of Trait one depends on state of trait 2

70
Q

Epistasis + NS

A

Epistasis = majore hindernace on effects of NS

Need other forces of have epistasis

Epistatic rigged topography – multiple genes affect trait –> get both to move in right direction together – hard for NS to do

71
Q

Example – 2 locus fitness epistasis

A

Has two fitness peaks + 2 low vallues

A1 has high fitness in presence of B1
- A1 = only high fitness with B1

A2 only has high fitness in the presence of B2
- High A2 and B2 = high fitness

Wrong combo of alleles = decrease fitness

If to the left of valley = fix for A1B1 BUT if to the firght of balue fix for A2B2

Have Adaptive topography for A with w/ and Adaptive topography with B for W/ –> put them together to see interaction

72
Q

What does wrights model work best for

A

Wright’s model occurs takes place on rugged adaptive topographies, but also works best in subdivided population – works best in subdivided popultions

Works best in subdivided because small popultion = increase drift + subdivided can have migration + mutation popultion drift independtley

73
Q

Wrights model (overall)

A

Idea of how evolution could work NOT saying that it is universal + logical expliantion of evolving forces = allow popultions to evolove
- It is a hypothsis on how it can happen

Model = 4 Stage model – 4 ”shifts of balance” among evolutionary forces and one shift from within population dynamics to among population dynamics Wright’s Shifting Balance Theory

74
Q

Wrights model (Slides)

A

Step 1 – in individual
subpopulations – drift can
predominate if population sizes
are small (relative to “height” of
fitness peak)
- If this is happening in multiple
subpopulations, some of these
populations are likely to end up the
bases of better optima

Step 2 – When drift brings the
population in contact with a steep
fitness slope, the strength of
selection starts to outweigh the
effect of drift – selection pushes
the population up the peak
- As mean population fitness increases,
population size is likely also increasing

Step 3 involves a shift toward
dynamics among populations –
large high fitness populations are
likely to produce a lot of migrants
- These migrants can influence the
evolution of other subpopulations
- This influx of new variation pushes the 2nd population of its local peak –
specifically in the direction of the peak in population 1

Step 4 occurs when this push from migration allows selection to take over
in the 2nd population – driving it towards the global optimum

Overall: The interaction of evolutionary forces acting
across large subdivided populations might allow for complex adaptation
that natural selection can’t drive by itself

75
Q

Wrights model (Mine)

A

Step1 – all subdivided popultions = stuck on bad fitness peak –> NS can’t act to get to a better position (because at a peak)
-Height of peak is proprotional to W/ – depends on reproductive sucess
- Low w/ = popultions staying small + low fitness = popultion decreases = cam drift heavily –> drift has string hand and NS will be weak –> can have random change in alelle frequncey
- Random chnage in allele frequncey due to drift = csan be going on in 10 subdivided popultions independentley – all random change due to drift –> eventually popultions will leave peak
- Drift will predominate unless the frequncey goes to a slope and NS can accelerate

THEN – as popultion increases = drift acts less –> Selection will increase w/ to go up peak and get to a new peak = optimum fitness

When increase w/ = now hvae high probability of S/R = increase popultion size = can be highest w in subdivided popultion = NOW need to send migrants to other popultions
- Healthy popultion = only sending migrants out (not symetric)

Migrants now influence P in other popultion – other popultions in other peak can have low drift out– if send migrants from original popultions chnage P in other popultion determansticallty towards higher peak (not random) –> NS can bvring to peak after migration – NS can take over and end at overall species wide adaptation in complex trait

END = species wide adpatation in complex trait

SHOWS – NS can drive complex adptation in com face of epistasis –> other droces play important role NOT just NS – need other mechansims to get adapative being

76
Q

Height of peak on Adaptive topographies

A

Height of peak is proprotional to W/ – depends on reproductive sucess
- Low w/ = popultions staying small + low fitness = popultion decreases = cam drift heavily

77
Q

What does Wrights model explain

A

Explains how complex adaptation can occur

Using other forces = we can epxlain how complex adaptation can occur –> NS can’t do it by itself – relies on importance of forces shifting across process

78
Q

What creates rugged adaptive topographies

A

Epistatic interactions in multiple loci under selection created rugged adaptive topographies –> requires changes in multiple sets of genes at ince

79
Q

Limitation of NS

A

NS can’t explor broader adaptive space itself (in rugged adaptive topographies) because only goes uphill – it can get stuck at a sub optimal peak

Using other forces = we can epxlain how complex adaptation can occur –> NS can’t do it by itself – relies on importance of forces shifting across process

80
Q

One shift within wright model

A

Shift from within sub populations to between sub population

***Works when in sub popultions

Step 3 = Shift within sub popultion to between sub popultion

81
Q

Wright (2)

A

Start = popultion stuck in sub optimal peak – NS is stuck (w/ can’t go up anymore) –> at a low w/ at start

Beceasue at low w/ = low reroduction output = small popultion = drift – HERE drift can predominate and selection is weak

Stage 1 = drift = random chnage in allele frequncey – each sub popultion is independent of each other –> in some of the sub popultions = the popultion will move to go towards a better fitness peak due to drift –> when it reaches a steep slope = NS increases in strength (Strength of selection = proportional to slope = NS is stronger) –> NOW selection takes over
- Selection is strong –> Selection will take popultions up to optimual fitness peak = w/ increases
- Selection increases – drift decreases

AS w/ inreases = Popultion size increases
- At new peak w/ increases = get more offspring = popultion grows

NOW – go from within popultion to ACROSS sub popultions

If 2 sub popultions increases popultion size = it will disproportionaly send migrants to other popultions –> NOW other popultions is driven by migrants

BY sending out migrants = affect allele frequncey of other popultion = affect evolution of other popultion
- MIgration = determanistic = more efficient
- Sending migrants from one popultion to other = change allele frequcney in other = pull other popultion towards higher w/ on Adaptive topography – NOT random like drift – going to specific to higher peak

Other popultion goes to optimal peal
- Selection = takes over in other popultion (takes over within popultion – NOW back to within popultion) to drive up to optimal peak
- Now within popultion again
- Selection takes over again

82
Q

Applying wrights shifting balance – What does Wrights hypothesis mean?

A

Example – Malaria

We know Anemia C alelle = almost completley resistant to malaria but it is in low frequncey

Because it is in low frequncey NS = can’t act on it
- Constaint on NS –> doesn’t mean contraint on evolution entirley – can change using other forces

To have C allele increase in the past they could have had = not in large popultion in Afirca but in small sub popultions where drift infleunces BUT they are also connected enough that mogration can carry alleles
- In the past they could have had small communities with drift but have migration
- As the popultions grow = drift decreases + limit subdivision = less likey for drift/wright and NS will happen

THIS in crease in C didn’t happen because of our interaction with malaria is recent –> we didn’t interact with malaria until agriculture
- Human malaria = because of trade and traffic with madacagscar – change in standing water = malaria infects humans now
- Here there is no longer condition for drift/migration to drive adapatation