classical genetics (mendelian genetics):
Focusses on inheritance of traits.
-Transmission of genes as outcome of fertilization. Named after Mendel.
Methods used prior to ‘molecular’ techniques.
-Trait selection.
-Crossing experiments in agriculture and livestock.
Basis of modern genetics.
population genetics:
Study of evolution from a genetic point of view.
-Change in collective genetic material in a population.
-Basis of species adaptability in response to selection.
Provides evidence into other processes.
-Mutation, selection, gene flow, genetic drift.
-Application in Forensic Match Probabilities.
molecular genetics:
DNA structure varies among organisms.
-Gene regulation and gene expression.
-Explanation of biomolecular processes.
Needs a basis for detecting these variations.
-Molecular techniques used in laboratories.
-PCR, VNTR and STR analysis, DNA sequencing.
developmental genetics:
How genes control development of organism.
-From single cell to fully formed organism.
-Uses both quantitative genetic and genomic methods.
Shows genes controlling development are ancient.
-Similar genes exist between species.
-Often studied using model species (fly, zebrafish, mouse).
genomics:
Focus is on genomes not simply genes.
-Structure, function, evolution, mapping, editing genes.
-Considers all genes not just targeted genes.
Patterns that explain physical traits, disease.
-Looks at multiple contributing factors across genome.
-Can also infer ancestry based on genome.
quantitative genetics:
Study of quantitative traits (phenotypes) not genes.
-height, mass, hair colour.
-These vary on a continuum and have a heritable basis.
Emphasis on statistical analysis to support findings.
-Quantitative geneticists have maths or stats backgrounds.
-Theoretical support in the absence of direct proof.
hardy weinberg equilibrium:
Contrived example of model population.
-Infinitely large population.
-Random mating.
-No mutation, no migration, no selection..
Under these conditions allele and genotype frequencies attain equilibrium.
Used as a basis for testing assumptions about real populations.
-If allele and genotype frequencies are not in equilibrium, then 1 (or more) of these forces mut be acting upon it.
-Allows scientists to explore population genetic theories.
hardy weinberg equation:
Describes the frequency of genotypes in a two-allele state.
p2 + q2 + 2pq = 1
-The sum of all the homozygotes (pp and qq) + the sum of all the heterozygotes (pq and qp) is equal to 1.
Real populations may have values close to 1 or deviate significantly from 1.
-Could mean that the population is under selection pressure, is inbreeding, is small (or under sampled) or you’ve not observed all the alleles (null alleles etc).
heterozygosity (obs and exp):
The average proportion of loci that are heterozygous can be presented as Observed Heterozygosity (Ho).
-Based on determining the number of heterozygotes in a data set.
-calculate meam.
-Can be presented as Expected Heterozygosity (He).
Based on expected numbers under HWE
If HO deviates significantly from HE then the population is not in HWE.
polymorphism:
Polymorphism describes the existence of 2 or more alleles at a locus- A1 and A2.
The proportion of polymorphic loci-
-Number of polymorphic loci/total number of loci, i.e. 3 loci polymorphic and 7 monomorphic= 3/10.
Polymorphism Information Content (PIC).
-Tells you how useful the loci is in a panel of markers.
population structure (fst):
The proportion of the total inbreeding in a population due to population differentiation or the reduction in heterozygosity that is due to the structure of the population.
Ranges in value from 0 to 1. 0 = no genetic differentiation between populations, 1= complete genetic differentiation.
Can be calculated using measures of heterozygosity.
-HS = Average heterozygosity in the subpopulation.
-HT = Average heterozygosity in whole population.
fst= ht-hs/ht
inbreeding (fis):
Proportion of the total inbreeding in a population due to inbreeding within sub-populations or the probability that two alleles at a locus are identical by descent.
Ranges in value from 0 to 1. 0= no inbreeding observed in the population, 1= clonal reproduction.
Can be calculated using measures of heterozygosity.
-HO = Observed heterozygosity in population.
-HE = Expected heterozygosity in population.
fis= 1- Ho/He.
genetic diversity:
Genetic diversity is required for populations to adapt to environmental change.
-Species face changing environments (climate, disease, parasites).
-Species must evolve (adapt) to over-come environmental stresses.
-Genetic diversity reflects evolutionary potential.
Loss of genetic diversity is linked to a reduction in survival.
-Positive correlation between genetic diversity and average fitness.
-Level of genetic diversity can be monitored over time.
-Genetic diversity can be managed in captive and wild populations.
mutation:
Only de-novo (new) source of genetic variation.
-Occurs more frequently in non-coding regions.
-Can be single base pair (point mutation).
-Can be loss/gain of repeat unit.
Mutations in coding regions can impact fitness.
-Can result in change to expressed amino acid.
-Can be ‘silent’
Can impact the heritability of the mutation.
-May not be inherited due to death of organism.
-May have positive impact on fitness and be selected.
meiosis and mating:
Meiosis causes variation in sex cells.
-Chromosomal recombination.
-Homologous chromosomes separate differently.
Random pairing of gametes.
-The random fertilization of eggs with sperm.
-Variation of siblings even though 50% shared DNA.
Random mating in population.
-Each female gamete has equal chance to pair with each male gamete.
migration:
Migration can add genetic diversity.
-Gene flow from other populations.
-Population have different allele frequencies.
-Population prone to different selection pressures.
If barriers prevent gene flow….
-Genetic isolation of populations.
-Over millennia genetic variation increases.
-May eventually evolve into 2 species.
-The point at which this happens is a grey zone.
Therefore barriers can lead to loss of diversity.
random genetic drift:
Changes in a population’s genetic diversity.
-Through random fluctuations NOT selection pressure.
-Allele frequencies vary and lead to more/less variation.
Occurs in small finite populations.
-Due to fertilization of few gametes (not all gametes).
-Over time individuals become ‘fixed’ as homozygous at a single locus (A1A1).
-Fixed alleles are useful (species ID).
2 events typically contribute to genetic drift…
events leading to genetic drift:
Population Bottleneck.
-Sudden loss of genetic variation in the population.
-Often result of catastrophic event (mass fatality).
-Example being Cheetahs.
Founder Effect.
-Migrating populations into new areas.
-Represent subset of original population variation.
-Seen in both animal and human populations.
Both these effects lead to increased inbreeding.
marker selection:
Extent of genetic diversity.
-Nuclear DNA is more variable than mtDNA.
Single Nucleotide Polymorphisms (SNPs).
-Occur ~every 1000 bases.
-Average locus contains 126 SNPs.
-Occur in coding and non-coding regions.
Microsatellites (Short Tandem Repeats).
-Occur less frequently than SNPs.
-Have a greater diversity than SNPs.
use of stats to measure locus discrimination power:
There are a number of common metrics (measures) that are used to describe the power of a profiling kit.
-Probability of Identity (PI) - the probability that 2 individuals selected at random will have an identical profile at the tested locus.
-Matching probability (MP) – the same as PI.
-Power of Discrimination (PD) = 1 - PI.
-Probability of a Match (pM) = Inverse of PI = 1/PI.
Importantly, these can be calculated in the absence of a specific profile and only need allele frequencies to calculate.
likelihood ratio:
1/MP.