Lecture 6 Flashcards

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1
Q

Examples of local adaptation in other organisms

A
  • Rock pocket mice (Mice in the southern USA that occupy different substrates on deserts. Their coat colours have adapted depending on what type of substrate they’re on)
  • Spine stickle backs, after the ice age, some were left in glacial lakes with no predators so adapted less heavy armour
  • Dawins Finches in the Galopogas islands adapted different shaped beaks depending on their food resource
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2
Q

Whats the challenge of trying to detect local adaptation in humans?

A

We often don’t know which traits are adaptive or not so we could look at the genetic diversity/ lack of genetic diversity within a population

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3
Q

What was used for the first attempts at finding selective sweep regions

A

They developed extended haplotype homozygosity (EHH) test which uses the concept of core haplotypes

The approach tested on two genes known to be associated with resistance to malaria; allele 202A at G6PD confers 50% reduced risk

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4
Q

What are core haplotypes

A

Region of the genome- series of SNPs that are close by to one another and particular alleles in linkage disequilibrium with one another

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5
Q

How does the EHH work

A
  1. Define the core haplotypes in a gene
  2. For each haplotype examine all the individuals that carry that haplotype and “walk to the next SNP in each direction one direction at a time”
  3. Ask whether all those individuals are the same at that new SNP. If yes, keep walking; if no stop (where the extended homozygozity comes in)
  4. Measure how far each haplotype extends. Long haplotypes provide evidence of selective sweeps (extended haplotype homozygozity)
  5. Why? because, over time recombination moves alleles between haplotypes and so ones that extend a long way much have reached a high frequency recently. Usually this happens because they are under positive selection

Recent positive selection should result in these extended homozygous haplotypes

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6
Q

Showing EHH results graphically

A

Filled in circle- core haplotype.

Different branches coming away from it. Every time a branch splits, some of those individuals have different alleles to others.

The thickness of the branch indicates what proportion of people have that particular haplotype

Haplotype 8 looks like it has the best evidence for selective sweeps

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7
Q

A look at G6PD, core haplotype 8

A
  • Ran a bunch of simulations to try and predict when a gene is neutral
  • They did this for lots of simulations and they plotted core haplotypes on the data for those simulations
  • Simulations determine the typical EHH
  • Each dot represents a different simulated gene/ haplotype.
    Haplotype 8 is a massive outlier so something non neutral is happening
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8
Q

HapMap phase 2 data

A

This dataset had 3 million SNPs, 420 chromosomes, 3 continents and 210 people with two copies of the genome

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9
Q

What’s the cross population extended haplotype homozygosity test (XP- EHH)

A

Compared two populations and tried to identify which population selection has happened in by looking at an allele that has reached fixation in one population but is still polymorphic in the other

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10
Q

How was selection detected in cross population EHH test

A

Used pair wise comparisons e.g. European-African, Asian-African which showed greater difference than European-Asian comparisons

Bordered and filled symbols are SNPs of likely functional importance 233 SNPs were derived allele at high frequency

Of which 39 were highly different between populations

and of those 5 were at low frequency in non-selected populations. Only 1 is filled in and is functionally important aka CLC245A which results in an amino acid change from alanine to threonine

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11
Q

SLC245A (solute carrier family 24 member 5)- distribution and what does it do

A

This derived allele is at high frequency in Europeans and low frequency elsewhere

This gene is known to be involved in pigmentation; involved in melanosome synthesis which are found in skin cells

The derived allele is associated with lighter skin

Light skin possible required for adequate vitamin D synthesis at higher latitudes

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12
Q

Whats the vitamin D synthesis hypothesis

A

Lighter skin has fewer, smaller, paler melanosomes (vesicles with melanocyte cells)

Dark skin protects against effects of ultra violet radiation (UVR), without it leads to sunburn (short term), cancer, nutrient degradation, neural tube defects (NTDs)

But UVR is required for vitamin D synthesis

In low sunlight conditions, vitamin D synthesis may be inadequate unless skin is pale (i.e. derived SLC45A allele will be favoured)

Humans only evolved lighter skin in Europe and Asia relatively recently

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13
Q

How common was/is this selection? (of SLC45A)

A
  • 300 candidate regions
    -22 of them exceeded a threshold never seen in 10Gb of simulated data
    -Included the pigmentation gene, as well as genes associated with lactase persistence*, resistance to Lassa fever and hair colour/ density
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14
Q

Tibetan adaptations compared to other humans

A

Tibetan people live at >3000m without suffering from the effects of Hypoxia (insufficient oxygen).

Most of would be at risk of altitude sickness at altitudes > 2500m

Tibetan plateau has been populated for more than 10,000 years

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15
Q

What was the rationale, predictions, approach done behind the tibeten studies

A
  • Any regions involved in high altitude adaptations should be different between those two populations
  • Prediction: greater differentiation at relevant genes than elsewhere in the genome
  • Approach: compared 500k SNPs between Tibetans (n=35) and Han Chinese (n=84)
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16
Q

What were the results from the Beall et al paper

A
  • Looked at the genetic variation between the two populations and made a Manhattan plot to look for signatures in genetic variation

Y-axis is the statistical significance of the difference in allele frequencies

SNPs around EPAS1 on chromosome 2 are highly divergent

17
Q

What is EPAS1

A

Most people produce more haemoglobin/red blood cells (known as erythrocytosis) at high altitudes. Tibetans do not. Thickening of blood causes chronic mountain sickness

EPAS1 encodes for a transcription factor called Hypoxia inducible factor 2 alpha / HIF2a

HIF2a regulates erythropoietin (EPO) which stimulates red blood cell production

EPO is a drug in which endurance athletes use to cheat)

18
Q

What does the Simonson paper discuss

A

Used gene ontology databases to identify 247 functional candidate genes

Typed 31 Tibetans at 1 million SNPs and compared them to 45 HapMap Chinese/ Japanese samples

Cross population extended haplotype homozygosity test to compare the populations

Integrated haplotype score (iHS) test to find regions that have undergone sweeps within a population

19
Q

Genes of interest - Simpson paper

A

Looked at genes within small regions of those SNPs: EPAS1, EGLN1 (significant).

EPAS1 is significant under both tests

20
Q

Yi paper

A

Sequenced the exome of 50 villagers from Tibetan villages

Sequenced them at 18 x coverage of 20,000 genes (34 million base pairs)

About 1% of our genome- efficient way of sequencing what’s potentially the most intricate part of the genome

They compared the sequences with 40 genomes of Han Chinese from human 1000 genomes project

21
Q

Population branch statistic- what did they find

A

To estimate which population natural selection had occurred in

Two closely related populations - compare them both to a more distantly related population and work out how many differences there are between the populations - measure that as a branch length

EPAS1 was number one in the whole analyses
EPAS1 showed associations with erythrocyte count and haemoglobin levels

In both cases “Tibetan allele associated with lower values”

Han and Tibetans only diverged about 2500-3000 years ago - fastest known example of divergence between human populations due to natural selection at a single gene

22
Q

Summary of papers

A
  • 2 genes repeatedly shown as being targets of selection
    -Both genes are part of the hypoxia-induced factor (HIF) pathway
23
Q

Follow up paper exploring region around EPAS1 in more detail

A

Sequenced the region around EPAS1 in 40 Tibetans and 40 Han Chinese

477 SNPs with especially high Fst in 32.7 Kbp region

24
Q

Inferred EPAS1 Haplotypes

A

They defined all the different haplotypes in different human populations

  • Core haplotypes based on 5 SNPs
  • Most human populations have haplotype GAAGG at high frequency
  • In some African populations there’s more diversity- typical for most of the genome. The one that stands out - Tibetin population
  • Tibetans have AGGAA which is also seen in Denisovans but only rarely in other humans
25
Q

What did the Neighbour-joining tree for tibetan EPAS1 haploytpes show

A

Tibetan haplotypes have common ancestry to the Denisovan populations (more closely related to denisovans than any other human population)

This suggests that when humans and denisovans mixed, that haplotype got introduced to humans from denisovans and is found in a frequency in tibetins because it was advantageous once humans moved to high altitudes

26
Q

What was revealed in May 1st 2019

A

Denisova is a long way from Tibet, there’s no evidence that denisovans even lived in Tibet

AMHs have been in Tibet for ~30-40KY

  • Subsequently, a jaw bone was found on the tibetin plateu
  • Fossil was carbon dated to ~160KYA
  • No DNA retrievable from Tibetan fossil, but protein sequence obtained from a tooth
  • Fossil was a Denisovan – presumably admixture within Tibet