Phenotypic Evolution

Quantitative Traits

  • Quantitative traits vary continuously (e.g., size) or meristically (e.g., number of bristles).

  • They are often distributed normally, forming a bell-shaped frequency distribution.

Genetic Basis of Quantitative Traits

  • The genetic basis of quantitative traits is often complex and not fully understood.

  • Variation often involves many genes.

  • Alleles often interact in an additive fashion, resembling multiple co-dominant or incompletely dominant alleles.

  • Variation is also influenced by the environment.

Example: Finch Beak Depth

  • Consider a simplified example with three genes, each with two alleles.

  • Each '+' allele contributes one unit to beak depth, while each '-' allele does not.

Frequency of Genotypes

  • Only one genotype results in a very small beak or a very large beak.

  • Multiple genotypes can result in a medium-sized beak.

Bell-Shaped Frequency Distribution

  • The basis of the bell-shaped frequency distribution is the various combinations of alleles that give intermediate phenotypes. Examples include: 3 + 3 -, 2 + 4 -, 1 + 5 -, 4 + 2 -, 5 + 1 -.

Environmental Variation

  • Environmental variation exists around each genotype.

  • This environmental variation smoothes the overall phenotypic variation.

Impact of Loci and Environmental Variance

  • As the number of loci increases, the distribution becomes smoother.

  • More environmental variance also smooths the variation.

Selection and Quantitative Traits

  • Selection alone can cause significant changes in quantitative traits, even without new mutations.

  • Recombination plays a crucial role in this process.

Allele Frequencies

  • With 50 loci, the frequency of '+' alleles (p) might be 0.75, while the frequency of '-' alleles might be 0.25.

Selection and Average Trait Value

  • Selection alone can move the average trait value well beyond the original range.

  • For example, if only the tallest people reproduced, the average height could become taller than the tallest people alive today over generations.

Variance

  • Variance (V) is the statistical term for measuring variation and is a critical mathematical concept in science.

  • V=(deviationsfromthemean)2/(n1)V = \sum (deviations \, from \, the \, mean)^2 / (n – 1)

  • If every individual is the same, with no deviations from the average, V = 0.

  • If many individuals are far from the average, V is very large.

Variance and Distribution

  • A tall, narrow curve indicates small variance.

  • A short, wide curve indicates large variance.

Phenotypic Variance

  • Phenotypic variance (VP) is the variance of a trait.

  • VPV_P is usually the result of both genetic and environmental factors.

  • Mathematically, it is the sum of genetic and environmental variances: Vp=Vg+Ve

Heritability The fraction of phenotypic variation that is genetic is called heritability (h2h^2).

  • h2=V<em>G/V</em>Ph^2 = V<em>G / V</em>P

  • Heritability is a population-specific parameter.

  • If there is no genetic variance in the population, then h2=0h^2 = 0.

Dependence on Population

  • h2h^2 depends on the population; if VGV_G is 0, then h2h^2 is 0.

  • Imagine uniform genetic variation (constant VGV_G).

  • If the population lives in a variable environment:

    • High VEV_E would result in a low h2h^2.t

Environment and Genotype Interaction  

  • /Relative amounts of V<em>GV<em>G and V</em>EV</em>E can vary with the environment, leading to environment x genotype interaction.

  • Environment can affect different genotypes differently.

Estimating Heritability

  • Heritability can be estimated through response to artificial, directional selection (e.g., truncation selection).

  • Illustrates the importance of h2h^2 to natural selection.

Truncation Selection

  • Truncation selection involves selecting individuals above a certain threshold for breeding.

Selection Differential

  • The selection differential (S) is the difference between the population mean and the selected subpopulation's mean.

Response to Selection

  • Response to selection (R) is the difference between the original population mean and the offspring’s mean.

Expected Outcomes

  • If all the variance is genetic (h2=1h^2 = 1), R = S.

  • If all the variance is environmental (h2=0h^2 = 0), R = 0.

  • If a small fraction of the variance is genetic, R is small.

  • If a large fraction of the variance is genetic, R is large.

Response and Genetic Variance

  • Response depends on how much variance is genetic (h2h^2).

  • If all the variance is genetic, R will equal S.

  • If none of the variance is genetic, R will be 0.

  • If half the variance is genetic, R will be half of S.

  • Therefore, h2=R/Sh^2 = R / S

Selection Response

  • A population can respond to selection only if h20h^2 ≠ 0 and VG0V_G ≠ 0.

  • Assuming V<em>EV<em>E stays the same, as V</em>GV</em>G decreases, so does h2h^2.

  • With h2=0h^2 = 0, the response to selection goes to 0 until new variation is introduced.

Human Races and Heritability

  • The relationship between h2h^2 and differences between groups has been misapplied to humans (e.g., racial differences in IQ).

Scenario

  • Two populations significantly differ in average trait value (e.g., corn height).

  • Imagine all variation within each population is heritable (h2=1.0h^2 = 1.0).

  • What explains the difference between the populations?