• No results found

View Download

N/A
N/A
Protected

Academic year: 2020

Share "View Download"

Copied!
34
0
0

Loading.... (view fulltext now)

Full text

(1)
(2)

One area lacking in Darwin’s analysis

1) Competition creating selective force

2) Variety of heritable traits

3) Selection of organisms to out-reproduce

others

4) Generations of over-reproduction to foster

population change

How is this variety

(3)

Modern evolutionary theory

Darwinian evolution + genetic analysis = modern

synthesis

Methodology: analyze a population’s gene pool, see if

its allele frequencies are changing over time

Population – all organisms of same species in an area

Gene pool – all of the genes of population considered

together

Allele frequency – percentage of a specific allele

(4)

Example of gene pool

Studying a population of rock pocket mice

Sandy-fur mice = RR (25 organisms)Sandy-fur mice = Rr (17 organisms)Black-fur mice = rr (3 organisms)

Total alleles = 25 x 2 + 17 x 2 + 3 x 2 = 90

R allele frequency = 25 x 2 + 17 x 1 = 67 / 90 =

74.4%

(5)

Allele frequencies and evolution

Update definition of evolution as change in

allele frequencies over generations

Ex: Lava flow creates black rock environment

Genotypes # organisms initially

# organisms

25 years later

RR

25

2

Rr

17

4

(6)

Calculate new allele frequency

Initially: R = 74.4% r = 25.6%

Genotypes # organisms initially

# organisms

25 years later

RR

25

2

Rr

17

4

rr

3

41

25 years later: Total alleles = (2 + 4 + 41) x 2

= 94

R = 2 x 2 + 4 x 1 = 8 / 94 = 8.5%

(7)

So what causes evolution?

More than just natural selection

First, let’s discuss when no change occurs =

Hardy – Weinberg equilibrium

Hardy and Weinberg create mathematical

(8)

Hardy – Weinberg equilibrium

Population allele frequencies will remain

constant if:

1.No gene flow (emigration or immigration)

2.No mutations occur

3.No natural selection is occurring

4.Population is large in number (infinitely large)

(9)

Hardy – Weinberg equilibrium

If 5 assumptions met, no evolution occurs

This also means that sexual reproduction itself

does NOT change population allele frequencies

Sexual reproduction does create genetic variety

in individuals BUT NOT in population

(10)

So what causes evolution?

Let’s break the 5 assumptions one at a time

1.No gene flow (emigration or immigration)

2.No mutations occur

3.No natural selection is occurring

4.Population is large in number (infinitely large)

(11)

Evolutionary force #1: gene flow

Entry of new individuals or exit of current

members

Initially: R = 74.4% r = 25.6%

Genotypes # mice in desert

# mice + 10 new black

fur mice

RR

25

25

Rr

17

17

rr

3

13

After gene flow: R = 60.9% r = 39.1%

(12)

So what causes evolution?

Let’s break the 5 assumptions one at a time

1.No gene flow (emigration or immigration)

2.No mutations occur

3.No natural selection is occurring

4.Population is large in number (infinitely large)

(13)

Evolutionary force #2: mutation

Causes very little change by itself

Example: new mutation at another gene locus

causes albino coloration in just one mouse

(updating Darwin)

Genotypes # organisms initially

# organisms

after mutation

event

AA

0

0

Aa

0

1

aa

45

47

Before:

A = 0%

a =

100%

After:

A = 1%

(14)

So what causes evolution?

Let’s break the 5 assumptions one at a time

1.No gene flow (emigration or immigration)

2.No mutations occur

3.No natural selection is occurring

4.Population is large in number (infinitely large)

(15)

Evolutionary force #3 – natural selection

The example we discussed before (mice

invading black volcanic rock territory)

Genotypes # organisms initially

# organisms

25 years later

RR

25

2

Rr

17

4

rr

3

41

(Darwin’s idea)

Before:

R = 74.4%

r = 25.6%

After:

(16)
(17)

Real life examples

1) Stabilizing selection – child birth weight

2) Directional selection – anteater snout

length

3) Disruptive selection – limpet shell

(18)

So what causes evolution?

Let’s break the 5 assumptions one at a time

1.No gene flow (emigration or immigration)

2.No mutations occur

3.No natural selection is occurring

4.Population is large in number (infinitely large)

(19)

Evolutionary force #4: Genetic drift

Before, we said sexual reproduction does

NOT change overall gene pool

This assumes a large population where actual

results more likely match predictions

R

R

r

r

RR

Rr

Rr

rr

(20)

Evolutionary force #4: Genetic drift

Genetic drift – when allele frequencies change

randomly

Could be randomness of sexual reproduction, or any

other random event (natural disaster)

Smaller populations have larger changes potentially

Frequencies:

Before: R = 50%, r = 50% After: R = 23%, r = 77%

Genotype s # mice in desert # mice after

RR

0

0

Rr

4

7

(21)

Evolutionary force #4: Genetic drift

Bottleneck effect – natural disaster kills many

organisms, survivors

Founder effect – very small population

isolated from larger population in new area (ex: islands)

Genetic drift tends to reduce variety

(22)
(23)

So what causes evolution?

Let’s break the 5 assumptions one at a time

1.No gene flow (emigration or immigration)

2.No mutations occur

3.No natural selection is occurring

4.Population is large in number (infinitely large)

(24)

Evolutionary force #5: Sexual selection

Mate choice for particular characteristics

makes certain traits more prominent

Tends to be female choice of males in many

species

(25)

Evolutionary force #5: Sexual selection

S = sexy phenotype s = not so sexy

Genotypes # organisms before

# organisms after 10 generations

SS

3

14

Ss

10

12

ss

17

4

Before:

S = 26.7%

s = 73.3%

After:

(26)

Overall summary

Requirements for H-W

equilibrium

1) No gene flow (no

immigration / emigration) 2) No mutation

3) No natural selection 4) Infinitely large

population

5) Random mating

Evolutionary forces

1) Gene flow

2) Mutation

3) Natural selection 4) Genetic drift

(27)

Hardy-Weinberg equations

IF H-W equilibrium exists, we can calculate

allele frequencies and genotype frequencies in population if we know one component

Calculations always involve decimals, not

percentages

40% = 0.40 6.3% = 0.063

Equation #1:

p + q = 1 p = overall dominant allele % in gene pool q = overall recessive allele % in gene pool

(28)

Hardy-Weinberg equations

Organisms get alleles from mom and dad

(2 homologous chromosomes)

(p + q) x (p + q) = 1 p = dominant allele q = recessive allele

Equation #2:

p2 + 2pq + q2 = 1

(29)

Gene pool idea

R = black

fur

r = sandy

fur

RR

Rr

Rr

Rr

rr

rr

rr

rr

rr

rr

rr

rr

rr

rr

rr

rr

rr

Rr

Rr

rr

(20 total

organisms)

14 / 20 = rr =

70%

7 / 40 R =

17.5%

1 / 20 = RR =

5%

5 / 20 = Rr =

25%

33 / 40 r =

82.5%

or p = 0.175

or q = 0.825

or p

2

~

0.05

or 2pq ~

0.25

or q

2

~

0.70

Gene pool

(30)

Hardy-Weinberg calculations

If we know one component of equation, we can

solve for other parts

Often, this component is the recessive phenotype –

q2

Ex: If 1 in 30,000 Americans has cystic fibrosis

(assume ~ 300,000,000 Americans), how many

Americans are carriers, assuming H-W equilibrium?

(31)

Cystic fibrosis H-W problem

Given q2, we can find q = √ q2

Then we can find p: p + q = 1

so p = 1 –q = 1 - √ q2

Then 2pq = 2(1 - √ q2) √ q2

2pq = 2 (1 – √0.00003)(√ 0.00003) = 0.0115

= 1.15%

1.15% of 300,000,000 Americans ~ 3,444,100

(32)

Cystic fibrosis H-W problem

Given q2, we can find q = √ q2

Then we can find p: p + q = 1

so p = 1 –q = 1 - √ q2

Then 2pq = 2(1 - √ q2) √ q2

2pq = 2 (1 – √0.00003)(√ 0.00003) = 0.0115 =

1.15%

1.15% of 300,000,000 Americans ~ 3,444,100

(33)

Solving without a calculator

Can you do these calculations?

2 x 0.60 x 0.40 = (0.30)2 =

(0.60)2 = √(0.04) =

(34)

Final reminder

These calculations assume population is in

H-W equilibrium

References

Related documents

When unisexual male and female flowers are present on different plants the condition is called dioecious and it prevents both autogamy and geitonogamy..

Successful implementation of decentralized water resource management may also depend on features of the basin-level arrangements created by stakeholders and/or by

Using fieldwork data collected from MNEs operating in the Armenian mining sector, where MNEs operate in a weak institutional environment, it is sought to understand how

Vertical headings should include: What Type of Cell (Body or Sex), Beginning Cell (Haploid or Diploid), Number of Cells Produced, End-Product Cell (Haploid or Diploid), and Number

The following matrix summarizes the general sequence of activities and corresponding responsible organizations for a Saudi Aramco metering project. Detailed requirements for

2015 Kensington St Faire & Beams Festival, Sydney
2015 Brainlight, Powerhouse Museum, Maker Faire, Sydney
 2015 Australian Museum, Sydney
2015 Brainlight Project