natural selection 2 Flashcards
Estimating generational change in allele freq for A1 due to selection based on relative fitness under HWE
The formulation given below allows us to estimate the generational change in allele frequency for A1 due to selection based on relative fitness under HWE (HWE = Hardy Weinburg Equilibrium)
deltasP = pqs(ph+q(1-h)/1-2pqhs-q^2s
Example of directional selection: Scarlet Tiger Moth
The medionigra (dark wing) allele in the Scarlet Tiger Moth (Panmaxia dominula)
– decline of the ‘medionigra’ (M) allele.
Work done over the years by RA Fisher, EB Ford, PM Sheppard and others:
- Calculated expected loss rate compared to actual record (see graph in notes)
- So since it matches observation is it due to natural selection?
- Not necessarily – it could it just be about temperature and not selection for allele frequency at all.
- This was proposed based on wild-caught larvae held in the lab at constant temperatures
(Owen & Goulson 1994) see charts in notes:
Infact it was found that variation may be due to where moths were raised rather than temp.
Jones (2000) challenged this idea
“The maximum and minimum daily temperatures and the monthly average temperatures have been measured at the time and site of pupation and metamorphosis of P. dominula. These field observations show that the frequency of medionigra and the temperatures measured both at the sites of pupation and in air near the ground in Cothill Fenare unrelated. Thus the laboratory experiments have been misleading and do not help to explain the decline and annual fluctuations in the frequency of medionigra in the Cothill population of P. dominula”
Later, O’Hara (2005, Proc. R. Soc. B 272, 211-217)
modelled the pattern of variation over time and suggested that both fluctuating levels of selection and genetic drift may be important
Conclusion:
- Although a model based on section against the M allele with s=0.1 and h=0.5 fit the observed trend, we couldn’t confirm selection as the driver
- Suggestions that it was instead environmental temperature were suggestive, weren’t fully supported
- Later models incorporating both selection and drift were consistent with the trend, but still not causative proof
Example of directional selection: Peppered moth study
Peppered moth (Biston betularia) and industrial
melanism. (Based on various papers by H.B.D. Kettlewell and colleagues)
Mutation for peppered moth melanism is due to a transposable in intron I of the Cortex gene. In (a) the candidate region element is shown, refined in (b) and the indel shown in orange. (Van’t Hofet al. (2016) Nature 534)
Example of directional selection: Finch beak variation
Rosemary and Peter Grant spent decades on the Galapagos island, Daphne Major observing finches — major drought in 1976-77 affected beak depth in the medium ground finch (see Boag and P. R. Grant 1981 Science 214:82)
Abzhanov et al (Science 2004 305: 1462 1465)
suggested that the change in beak thickness could be due
to changes in the expression of just one ‘growth factor’
gene: Bmp4
Genome scans revealed more loci likely associated with bill size and foraging strategy among Geospiza sp.
“HMGA2 has been associated with variation in height, craniofacial distances, and primary tooth emption
in humans”. WIFI inhibits the developmental control gene ‘WNT’.
Further evidence for natural selection among the Galapagos finches comes from the observation that extensive morphological variation, evidently adapted to local habitat, has evolved in spite of relatively little differentiation at neutral genetic markers. The finch phylogeny (left) is based on non-coding DNA sequence data: Sato et al. 2001 Mol. Biol. .Evol. 18:299-311
Another way to look for evidence of selection at the level of individual genes is to consider the rate of non-synonymous vs synonymous change
Another way to look for evidence of selection at the level of individual genes is to consider the rate of non-synonymous vs synonymous change
dn/ds < 1
This suggests that deleterious non-synonymous changes are being removed by selection. We call this ‘purifying selection’
dn/ds > 1
This indicates that positive selection has caused some amino-acid substitutions
dn/ds = 1
This suggests that amino-acid substitutions have been neutral (or it could be a balance between positive and purifying selection)
See Parmley & Hurst (2007) Bio Essays 29, 515-519
One caveat to be aware of: Sometimes synonymous changes can have functional relevance, e.g if they affect splicing or the rate of protein production
Population level comparisons
Looking for deviations from expectations (in this case a measure of population differentiation that assumes neutrality)to find evidence for positive(directional) selection
FST
— ranges from 0 to 1
— e.g: if F ST = 0.15, this suggests 15% of genetic variance can be explained by differences among populations.
- if 0 = panmixis (no subdivision, random mating occurring, no genetic divergence among populations)
- values up to 0.05 = low genetic differentiation
- > 0.25 = very great genetic differentiation
- 1 = complete isolation (extreme subdivision).
— F ST typically calculated based on data from multiple genes.
Evidence of local adaptation in the copper rockfish?
Buonaccorsi et al. (2002) Can. J.
In the end the authors thought isolation and genetic drift was the most likely explanation
Population Genomics of Parallel Adaptation in
Three spine Stickleback using Sequenced RAD Tags
Hohenlohe et al 2010
Freshwater vs saltwater: Screening across genomes
found peaks of differentiation (FST), some too high to be
explained by neutral differentiation alone.
stickleback genome estimates:
41% regulatory
17% coding
42% probably regulating
Focal genes and more genome scans
Build on what you know about a particular gene as a candidate gene to see if it relates to the environment e.g as HSP70 gene was studied in evolution canyon (Israel):
Differential expression of HSP70 gene in two habitats
that differ in microclimate for Drosophila melanogaster
“Evolution Canyon”
(Michalak al. 2001 PNÅS 98: 13195-13200)
Another genome scan example:
Change of conditions from surface to deep-sea
changes occurring:
- hydrostatic pressure (main change)
- thermal gradient
- salinity gradient
- oxygen minimum layer
see: https://doi.org/10.1038/s41559-018-0482-x
Genomics of habitat choice and adaptive evolution
in a deep-sea fish (Michelle R. Gaither et al)
1000-1500m is an important habitat boundary various aspects of physical oceanic properties show a transition at this depth
60 genomes sequenced.
Most comparisons showed correlated genotype frequencies, but all comparisons with 1800m showed strong evidence for selection associated with habitat depth (violated the assumption of correlated genotype frequencies).
For 9 outlier SNPs (single nucleotide polymorphisms), the comparison by genotype shows fixed genotypes at
1800m and segregating at lower depths 6 loci showed fixed non- synonymous changes in coding genes.
Neutral loci (-50K) no difference by depth
OBSLI : one of loci with non-synonymous changes
that suggest functional differences (Obscurin aka OBSLI)
Balancing selection
Two main types:
Overdominance: this occurs when h < 0 – also known as ‘heterozygote advantage’.
Frequency dependent: in this case the allele will be, e.g. favoured when rare, but disfavoured when common (or visa-versa) - tends towards an equilibrium value. A similar effect can come about when the environment changes over time.
Overdominance examples:
Sickle cell anaemia
Homozygote suffers disease (crystal aggregations in blood that can block capillaries),but heterozygote has only mild form, and is at the same time resistant to malaria
It is an autosomal recessive disease caused by mutation in the β-globin gene – a Glutamic acid to Valine substitution in one of the Hg chains that together bind O2
MHC Class II gene polymorphism
selection for heterozygotes in immune system genes preserves essential variability
Frequency Dependent Selection:
Positive:
Fitness increases as an allele becomes common, &
decreases as allele becomes rare.
Negative:
Fitness increases as an allele becomes rare, &
decreases as allele becomes common.
Example of positive frequency dependence:
Müllerian Mimicry
First described by the German zoologist Fritz Müllerin 1878
Unpalatable species mimic each other when they overlap in geographic range to reinforce signal to predators
Their bright coloration is an ‘aposematic’ signal to the potential predator