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Evolution and Behaviour > Lectures 4-7 > Flashcards

Lectures 4-7 Flashcards

1
Q

What is evolutionary genetics

A

The integration of genetics and evolution. Called the modern synthesis or neo-darwinism

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2
Q

Why was the integration of genetics necessary?

A

Gave the missing piece to darwins theory as he didn’t know how heredity worked and genetics is the study of heredity.

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3
Q

What causes the variation necessary for natural selection?

A

Mutation

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4
Q

What does all life evolve around?

A

Replicating DNA

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5
Q

What is syngamy?

A

Like fertilisation where two cells fuse/their nuclei fuse.

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6
Q

Missense vs non-sense mutations

A

Missense is non-synonymous mutations where one amino acid is swapped for another.

Non-sense is the introduction of a premature stop codon

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7
Q

What is a synonymous mutation?

A

A mutation in which the base sequence changes but not the amino acid sequence

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8
Q

2 tools of evolutionary genetics

A
  1. DNA sequencing

2. Mathematical population genetics

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9
Q

What is DNA sequencing

A

Listing the entire genome and then comparing but can also include comparative karyotyping to give indications of large scale events

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10
Q

Example where comparative karyotyping has been useful

A

Chromosome 2 of humans appears to be a Robertsonian fusion of two chromosomes when comparing the karyotypes of humans and other apes.

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11
Q

Mathematical population genetics

A

Genomic data allows for inferences about evolutionary history and answer questions why some salamanders have genomes roughly 40x larger than humans or if we homo sapiens interbred with Neanderthals

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12
Q

What can mathematical modelling be used for

A

Look backwards in evolution or as a predictive tool

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13
Q

Applications of evolutionary genetics

A
  1. Conservation—>plan interventions and preservation
  2. Agriculture—>GM food and impact
  3. Engineering—>evolutionary robotics
  4. Medicine—>disease spread and evolution
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14
Q

Genetic drift

A

the equivalent of random sampling so chance which individuals survival
- Natural selection is then the bias in this sampling process

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15
Q

Genetic drift always acts

A

Selection sometimes acts and is based on the relative fitness of the alleles

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16
Q

Expected frequency of B in next generation

A

p x(Wb/Wtotal)

=(pWb)/(pWb) + (1-p)(Wa)

where p is the frequency of the B allele in parent generation
Wb is the fitness of B allele (the number of copies it will have in the next generation)

ALSO

p +ps/1+ps

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17
Q

Selection coefficient s

A

This quantifies the strength of selection

1 + s=(Wb/Wa)

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18
Q

If s=0

A

both alleles have same fitness so neutral mutations and will change due to genetic drift

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19
Q

s<0 so negative

A

B has lower fitness than A so deleterious mutation

  • negative or purifying selection
  • if s=-1 then it is a lethal mutation where the presence causes death
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20
Q

s>0 so positive

A

B has higher fitness so beneficial allele under positive selection (sometimes called Darwinian selection)

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21
Q

Buri 1956

A

Genetic drift on Drosophila populations using neutral allele
under drift alone and started at 50:50 and then in some one became fixed and in some the other
- vbery few had perfect 50:50 at end of experiment

always 16 individuals

DRIFT has stronger effect in smaller populations

Effective population size = 9 when plotted data against expected from simulations

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22
Q

Effective population

A

The size of the idealised population that would experience the same amount of genetic drift as the actual population

— almost always smaller as the idealised population has assumption

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23
Q

Idealised populations assumptions

A
  1. Hermaphroditic reproduction
  2. Random Mating
  3. Constant population size
  4. No natural selection so allele truely neutral
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24
Q

Effective population size determines the efficacy of selection

A

as some small populations deleterious mutations can be effectively neutral. And vice versa

Ne x s is small

effective population x selection coefficient

Examples in founder effect and bottle neck

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25
Founder effect example
Polydactyly in the Amish people of USA
26
Bottleneck example
Pingelap in Micronesia - achromatopsia - 1775 population of 1000 went down to 20 after a typhoon and the subsequent starvation 1 in 12 there compared to 1 in 50000-100000 people
27
Selection can cause drift
Natural selection at one site in the genome can cause drift in another site as the linked gene (by physical linkage) is inherited as well So Ne will vary across the genome Chromosomal regions with less recombination will have a smaller Ne
28
Degeneration of the Y chromosome
Y cannot be repair easily and has very low rates of recombination so undergoes degeneration May be lost completely like in some other species of mammal—>don’t know how they determine their sex though
29
What can cause the selection coefficient to change? | x 7
1. Over time (different times of the year) 2. In space (different habitats) 3. Allelic variation at same locus (fitness domination) 4. Allelic variation at other loci (fitness epistasis) 5. Population density (density dependent selection) 6. Phenotypic constitution of the population (frequency density selection) 7. Properties of other populations (like predators or prey)
30
What is fitness overdominance
Where there is an advantage to be a heterozygote
31
What causes sickle cell anaemia
point mutation in β-globin chain of haemoglobin changing glutamine to valine—>causes sickle shape
32
Why beneficial ion areas with malaria to be heterozygote for sickle cell?
No sickle = malaria chance Heterozygote = not really sickled and less chance of malaria Sickle= get sickle cell anaemia
33
What is the expected frequency of the sickle-cell allele in offspring generation?
p’ = p (w/-w) p=in parents generation w is relative fitness of sickle cell allele -w = average relative fitness of population
34
Hardy-Weinberg proportions
homo = p^2 Hetero = 2p(1-p) Alternate homo = (1-p)^2
35
What does w = 1 +ps(a) mean for sickle cell?
Shows that it is frequency dependent so selection coefficient lower at higher frequencies and vice versa
36
equilibrium frequency
Where selection for either trait is equal as frequency in offspring generation is equal to that of the parent generation
37
What is game theory
The idea that each different allele is an ‘agent’ employing different strategies and displayed in a theory payoff matrix
38
What is the evolutionarily stable strategy
ESS is the phenotype (strategy) adopted by all members of the population and no alternative strategy would give higher fitness - in Sickle cell it is not a ‘pure strategy’ and is a mixed one as not one is completely beneficial
39
Balancing selection
Where selection maintains stable or balanced polymorphisms
40
Negative frequency dependent selection
rare alleles selected for and then once no longer rare, the ore rare one is selected for. -apostatic selection caused by predators going for common forms so rare is good
41
Example of apostatic selection
birds eat more common forms of Cepaea nemoralis - many different shell banding patterns - (snails)
42
Selection does not always act to improve population mean fitness
Can cause loops rather than one single one dominating
43
What genes classify as mendelian?
Phenotypic traits whose variation was due to allelic differences at a single loci
44
What classifies a dominant allele
Only one copy required for phenotype
45
What is recessive?
Both copies must be the same before the phenotype expressed
46
What does semi-dominant mean?
Where the heterozygote phenotype is an intermediate of the two homozygote phenotypes
47
What causes quantitative, rather than qualitative differences?
Continuous range of variation affected by multiple different gene loci as well as the environment
48
Who initiated the field of quantitative genetics?
R.A. Fisher | - 1918 ‘the correlation between relatives under the supposition of Mendelian inheritance’
49
Why were new methods of study required to study polygenic traits?
- impractical to consider fate of individual allelic variations. - would have to consider factors such as physical linkage of traits
50
What is disruptive selection?
A.K.A diversifying selection | - where the extremes are favoured and the intermediate values have the lowest fitness
51
Heritability. What is it?
The idea that for a trait to change via natural selection the traits needs to be heritable. - HOW much phenotypic variation in a given trait in a given population is heritable?
52
What is broad sense heritability?
H^2 = Vg / Vp - minimum 0, max =1 - Vg is genetic variation - Vp is phenotypic variation
53
What is variance?
Phenotypic variance is the average of (trait-average)^2 - we can split into genetic and environmental values as phenotype = genetic + environmental variance
54
When is it easiest to estimate Vg and Ve?
clonally reproducing organisms. as genetically identical to mother and each other - so all offspring phenotypic variation is environmental
55
What does broad-sense heritability allow use to predict in clonal organisms?
the response to selection - the selection differential ( S) is the difference in the mean value of a trait between those adults selected to breed and the total population of adults - also equal to covariance between trait value and fitness - so response to selection (R) R = S x H^2
56
When can broad sense heritability be estimated in humans?
Monozygotic twins as genetically identical. | - also use dizygotic twins as usually same environment by not as reliable
57
What does heritability actually tell us?
Not how much of a trait is caused by genes - as high heritabilities do not imply genetic determination - instead just how much of the phenotypic variation is due to genetic variation (not genes themselves)
58
What is narrow sense heritability?
h^2 = (relevant proportion of genetic variance)/(phenotypic variance)
59
What do you do when you cannot calculate broad-sense heritability?
Partition genetic variance to find the additive genetic variance (the relevant proportion of genetic variance)
60
What is the breeder’s equation?
R = S x h^2 ``` R = response to selection S = Selection differential h^2 = narrow-sense heritability ```
61
Illinois Zea mays example
- sweetcorn - experimenters measure oil and protein content and then form next generation out of top 20% with respect to these traits - began in 1984 - outcome still predicted by breeder’s equation - over the first 100 generations traits increased by over 20 standard deviations

Evolution and Behaviour (8 decks)

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