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Evolution of Populations

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Evolution of Populations When Darwin developed his theory of evolution, he did not understand: how heredity worked. This left him unable to explain two things: a ... – PowerPoint PPT presentation

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Title: Evolution of Populations


1
Evolution of Populations
2
  • When Darwin developed his theory of evolution, he
    did not understand
  • how heredity worked.
  • This left him unable to explain two things
  • a. source of variation
  • b. how inheritable traits pass from one
    generation to the next

3
  • In the 1940s, Mendels work on genetics was
    rediscovered and scientists began to combine
    the ideas of many branches of biology to develop
    a modern theory of evolution. When studying
    evolution today, biologists often focus on a
    particular population. This evolution of
    populations is called microevolution.

4
  • 2. Vocabulary
  • population group of individuals of the same
    species living in the same area that breed with
    each other.

5
  • 2. gene pool combined genetic info. for all
    members of a population

6
  • 2. allele one form of a gene

7
  • 2. relative frequency of an allele times an
    allele occurs in the gene pool compared to other
    alleles (percent)

Example Relative Frequency 70 Allele B 30
Allele b
8
  • 3. Sources of Variation
  • a. mutations any change in DNA sequence
  • Can occur because of
  • mistakes in replication
  • environmental chemicals
  • May or may not affect an organisms phenotype

9
  • 3. Sources of Variation
  • b. Gene Shuffling recombination of genes that
    occurs during production of gametes
  • Cause most inheritable differences between
    relatives
  • Occurs during meiosis
  • As a result, sexual reproduction is a major
    source of variation in organisms.
  • Despite gene shuffling, the frequency of alleles
    does not change in a population. Explain why this
    is true.
  • Similar to a deck of cards no matter how many
    times you shuffle, same cards (alleles) are
    always there.

10
  • 4. Gene Traits
  • A) Single gene trait controlled by single gene
    with two alleles
  • Examples widows peak, hitchhikers thumb,
    tongue rolling

11
  • (4. Gene Traits)
  • B) Polygenic trait controlled by 2 or more
    genes, each with 2 or more alleles
  • Examples height, hair color, skin color, eye
    color
  • Most human traits are polygenic.

12
  • Do the following graphs show the distribution of
    phenotypes for single-gene or polygenic traits?
    Explain.

type single gene why? Only two phenotypes
possible Example tongue roller or non-tongue
roller
type polygenic why? Multiple (many) phenotypes
possible Example height range 4feet to 9 feet
all
13
  • 5. Natural selection acts on phenotypes, not
    genotypes.
  • Example in a forest covered in brown leaves,
    dirt and rocks which mouse will survive better
    brown or white?
  • Brown, more hidden.

14
  • 5. If brown is dominant can the a predator tell
    the difference between
  • Mouse with highest fitness will have the most
    alleles passed on to the next generation.
  • White mouse will have low fitness

BB Bb
?
15
  • 5. Which mouse will have the lowest fitness?
  • White, bb (recessive)
  • Will the fitness of BB and Bb differ? Why?
  • No, Both BB and Bb have the same fitness
    advantage of being brown

BB Bb
?
16
  • 6. Three ways in which natural selection affects
    polygenic traits.

17
  • a. Directional Selection individuals at one end
    of the curve have higher fitness so evolution
    causes increase in individuals with that trait
  • Individuals with highest fitness those at one
    end of the curve
  • Example Galapagos finches beak size

18
Directional Selection (page 398)
Directional Selection
19
  • b. Stabilizing Selection individuals at the
    center of the curve have highest fitness
    evolution keeps center in the same position but
    narrows the curve

Individuals with highest fitness near the center
of the curve (average phenotype) Example human
birth weight
20
Stabilizing Selection
21
  • c. Disruptive Selection individuals at both
    ends of the curve survive better than the middle
    of the curve.
  • Individuals with highest fitness both ends of
    curve
  • Example birds where seeds are either large or
    small

22
Disruptive Selection (pg 399)
23
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24
The Process of Speciation
  • The formation of new biological species, usually
    by the division of a single species into two or
    more genetically distinct one.

25
Three Isolating Mechanisms Isolate species
forming subspecies and perhaps causing
speciation.
  1. Geographic Isolation
  2. Behavioral Isolation
  3. Temporal Isolation

26
1. Geographic Isolation
  • Two populations separated by a geographic
    barrier river, lake, canyon, mountain range.

27
Example 10,000 years ago the Colorado River
separated two squirrel populations.
  • Kaibab Squirrel Abert Squirrel

28
This resulted in a subspecies, but did not result
in speciation because the two can still mate
if brought together
  • Kaibab Squirrel Abert Squirrel

29
2. Behavioral Isolation
  • Two populations are capable of interbreeding
    but do not interbreed because they have different
    courtship rituals or other lifestyle habits
    that differ.

30
Example Eastern and Western Meadowlark
  • Eastern and Western Meadowlark populations
    overlap in the middle of the US

31
Example Eastern and Western Meadowlark
  • Male birds sing a matting song that females like,
    East and West have different songs. Females only
    respond to their subspecies song.

32
3. Temporal Isolation
  • Populations reproduce at different times

January
1 2 3 4 5 6 7 8 9
10 11 12 13
33
Example Northern Leopard Frog North American
Bullfrog
  • Mates in Mates in
  • April July

34
Conclusion
  • Geographic, Behavioral and Temporal Isolation are
    all believed to lead to speciation.

35
However
  • No examples ever observed in animals
  • A couple examples that may demonstrate speciation
    exist in plants and some insects.

36
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37
Genetic Drift
  • random change in allele frequency that occurs in
    small populations

38
  • The results of genetic crosses can usually be
    predicted using the laws of probability. In small
    populations, however, these predictions are not
    always accurate.
  • a. Founder effect allele frequencies change due
    to migration of a small subgroup of a population
  • Example fruit flies on Hawaiian islands

39
Two phenomena that result in small populations
and cause genetic drift
  1. Founder Effect
  2. Bottleneck Effect

40
Founder effect
  • allele frequencies change due to migration of
    a small subgroup of a population

41
Founder Effect Fruit Flies on Hawaiian islands
42
2. Bottleneck effect
  • major change in allele frequencies when
    population decreases dramatically due to
    catastrophe
  • Example northern elephant seals
  • decreased to 20 individuals in 1800s, now
    30,000
  • no genetic variation in 24 genes

43
Bottleneck Effect Northern Elephant Seal
Population
  • Hunted to near extintion
  • Population decreased to 20 individuals in 1800s,
    those 20 repopulated so todays population is
    30,000
  • No genetic variation in 24 genes

44
Bottleneck Effect
Original population
45
Bottleneck Effect
Catastrophe
Original population
46
Bottleneck Effect
Catastrophe
Surviving population
Original population
47
Another picture to illustrate bottleneck effect
48
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