Genetic Variation Notes

Genetic Variation Overview

  • Exercises for Molecular Genetics: May 27 and 28, 2025.
  • Focus: Variation within individuals, among populations, and among species.

Theme 1: Genetic Variation Among Individuals

  • Focus: DNA fingerprints, forensics, and parentage analysis.
  • Topics:
    • Introduction to DNA fingerprints and parentage analysis.
    • Exercise: Forensic analysis (Blekingegadebanden revisited).
    • Exercise: "Family affairs".

Theme 2: Genetic Variation Within and Among Populations

  • Focus: Genetic variation within and among populations.
  • Topics:
    • Introduction: Genetic variation within and among populations.
    • Exercise: Population genetic analysis of teak (Part 1).
    • Introduction: Geographic population structure.
    • Exercise: Population genetic analysis of teak (Part 2).

Theme 3: Genetic Variation Among Species

  • Focus: DNA barcoding and phylogenies.
  • Topics:
    • Introduction: Taxonomy and barcoding.
    • Exercise: Genetic barcoding and phylogeny – Activity 1 (Barcoding).
    • Introduction: Construction of phylogeny.
    • Exercise: Genetic barcoding and phylogeny – Activity 2 (fylogenetisk analyse).
  • Teachers: Dimitra Sergiadou and Ole K. Hansen.
  • An approved report is compulsory to get access to examination.

Genetic Analysis of Variation Among Individuals

  • Emphasis on using molecular markers when analyzing DNA.
  • Many individuals genotyped.
  • Markers are typically much more variable than sequences used in phylogenetic analysis.
  • Goal: Determining the genetic identity of individuals.

Different Types of Molecular Markers

  • Isozymes (proteins).
  • DNA markers based on Southern blotting with probes:
    • RFLP (Restriction Fragment Length Polymorphism).
    • VNTR (Variable Number of Tandem Repeats) – Minisatellites.
  • PCR-based DNA markers:
    • Microsatellites or Single Sequence Repeats (SSRs).
    • SSCPs (Single Stranded Conformation Polymorphism).
    • RAPD Markers.
    • AFLPs (Amplified Restriction Fragment Polymorphism).
  • DNA markers based on sequencing:
    • SNPs (Single Nucleotide Polymorphism).
  • Timeline of development: 1970s-2000s.

Separation of Amplified Microsatellites by Gel Electrophoresis

  • Microsatellites are amplified using primers (Primer A and Primer B).
  • Example of three trees with different microsatellite genotypes:
    • Tree no. 1: Genotype 11 (ATATATAT TA TATATATA).
    • Tree no. 2: Genotype 12 (ATAT AT AT TA TA TA TATA).
    • Tree no. 3: Genotype 23 (AT AT AT AT AT TA TA TA TA TA TA TA TA).
  • Microsatellite genotypes are given as the number of bases, e.g., (166,170)(166, 170) (heterozygote) or (166,166)(166, 166) (homozygote).

Introduction to Parentage Analysis

  • Genetic fingerprinting is an important tool, e.g., in forensics (exercise "Blekingegadebanden revisited").
  • Knowledge of parentage is crucial in inheritance matters (exercise "Family affairs").
  • Applications beyond determining parentage:
    • Testing ecological or physiological hypotheses.
    • Variation in reproduction success.
    • Direct measures of gene flow.
    • Mating patterns.
    • Selection against self-fertilization (inbreeding), etc.

Introduction to Parentage Analysis II

  • Continuum of situations with increasing complexity:
    • Simple experimental set up – parentage analysis with all potential parents known.
    • More complicated – some parents known – some not.
    • No parents known.
    • Further complexity: e.g., data of varying quality.

Simple Experimental Set-up Example

  • Controlled crossings with pollen mix ("Pollen cloud" of pollen mix).
  • Seeds harvested and germinated.
  • Analysis with 2 SSR markers to decide fathers of the seeds.
  • Fractions indicating potential fathers:
    • 1/61/6 = A. nord. Clone 19
    • 1/61/6 = A. nord. Clone 46
    • 1/61/6 = A. nord. Clone 81
    • 3/63/6 = A. alba

Microsatellites

  • Microsatellites are located on chromosomes within the DNA.
  • The four bases: Guanine, Thymine, Cytosine, Adenine.
  • Different trees have microsatellites of different lengths.
  • Example:
    • Tree X Genotype 1,2
    • Tree Y Genotype 2,3

Determining Genotype

  • Tree's genotype in microsatellites is determined by measuring the length of the microsatellites, expressed in the number of base pairs.
  • Example:
    • Microsatellite NFF2 – genotype (111,115)(111, 115)
    • Microsatellite NFF3 – genotype (134,138)(134, 138)

Application of Microsatellites in Hybridization Experiment

  • One Mother (M1).
    • Microsatellite NFH15 genotype (103,105)(103,105)
    • Microsatellite NFH3 genotype (118,132)(118,132)
  • Four potential fathers (Far1 - Far4) with their respective allele combinations for NFH15 and NFH3.

Paternity Case: Offspring 1

  • Offspring 1 has specific allele combinations for NFH15 and NFH3.
  • Comparison with the mother and the four potential fathers to determine paternity.

Methods of Parentage Analysis

  • Uses incompatibilities between parents and offspring to reject particular parent-offspring hypotheses.
  • Most powerful with few candidate parents and highly polymorphic genetic markers.
  • Potential weaknesses of a strict exclusion approach that can contribute to false exclusions.

Exclusion - Weaknesses

  • Example: Mother and father with genotypes a/a and b/b respectively. Their offspring will have genotype a/b.
  • Genotyping Error: If the offspring's genotype is mistakenly scored as a/a, the actual father will be excluded from paternity.
  • Mutation: If the offspring's genotype has become a/a due to mutation, the actual father will be excluded from paternity.
  • Null Allele: If the father's genotype is actually b/null allele the offspring can mistakenly be scored as a/a, and the actual father will be excluded from paternity.

Null Alleles

  • A microsatellite null allele is any allele at a microsatellite locus that consistently fails to amplify to detected levels via PCR.
  • Potential causes:
    • Poor primer annealing due to e.g. point mutations or indels in one or both flanking primer sites.
    • Differential amplification of size-variant alleles.
    • PCR failure due to low template DNA quality or quantity.

Examples of SSR Null Alleles

  • Table of locus names, primer sequences, observed heterozygosity (HO), expected heterozygosity (HE), null allele frequency.
  • Example Data:
    • NFF2: HO = 0.6690.669, HE = 0.9060.906, Null allele Freq. = 0.1490.149
    • NFF3: HO = 0.8130.813, HE = 0.8840.884, Null allele Freq. = 0.0400.040
    • NFH15: HO = 0.7310.731, HE = 0.8220.822, Null allele Freq. = 0.0590.059
    • NFH3: HO = 0.8370.837, HE = 0.9610.961, Null allele Freq. = 0.0680.068
    • NFF7: HO = 0.4550.455, HE = 0.9500.950, Null allele Freq. = 0.3520.352

Examples of Null Alleles Parent-Offspring Revelations

  • Shows examples of mother and offspring allele combinations for NFH3B and NFF2, highlighting potential null allele occurrences.

More Sophisticated Methods of Parentage Analysis

  • Likelihood techniques used to compensate for imperfect data (e.g., genotyping errors, low genetic variation, mutations, null alleles).
  • Assign progeny to non-excluded parents based on likelihood scores derived from their genotypes.
  • Likelihood evaluates hypotheses given certain data: Methods based on likelihood L(HD)L(H | D).

Likelihood

  • The likelihood of one hypothesis is evaluated relative to another → the likelihood ratio:
  • In parentage analysis, the data are genetic data from the offspring, the known parent (if one is known) and one or more candidate parents. For each candidate parent, the two alternative hypotheses are:
    • 1. The candidate parent is the true parent
    • 2. The candidate parent is not the true parent
  • The likelihood ratio is the likelihood that the candidate parent is the true parent divided by the likelihood that the candidate parent is not the true parent. P(DH<em>1)P(DH</em>2)=L(H<em>1D)L(H</em>2D)\frac{P(D | H<em>1)}{P(D | H</em>2)} = \frac{L(H<em>1 | D)}{L(H</em>2 | D)}

Exercises

  • 1. "Blekingegadebanden revisited"
  • 2. "Family affairs"