The study of traits that can be described numerically
Quantitative traits are usually controlled by more than one gene
Quantitative traits
Height
Metabolism rate
Quantitative traits
They vary measurably in a given species
They are easily measured and described numerically
Measurement of quantitative traits is essential when comparing individuals or evaluating groups of individuals
Biometric field of genetics
The field developed by Francis Galton and Karl Pearson to study quantitative traits
Discontinuous traits
Traits that fall into two or more discrete categories
Quantitative traits
Traits that show a continuum of variation within a group of individuals
The distribution of measurements of many biological characteristics is approximated by a symmetrical bell curve
Quantitative traits do not naturally fall into a small number of discrete categories
Frequency distribution
An alternative way to describe quantitative traits by dividing the trait into a number of discrete phenotypic categories
Mean
A statistical measure of central tendency calculated using the formula: X = ∑X/N
Variance
A statistical measure of the amount of phenotypic variation in a group, calculated using the formula: VX = ∑(Xi - X)^2/(N-1)
Standard deviation
The square root of the variance, provides an intuitive grasp of the variation in a population
In a normal distribution, approximately 68.3% of individuals are within 1 standard deviation of the mean, 95.4% within 2 standard deviations, and 99.7% within 3 standard deviations
Correlation coefficient (r)
A statistic that evaluates the strength of association between two variables, ranging from -1 to 1
Covariance
A measure of the degree of variation between two variables within a group, calculated using the formula: CoV(X,Y) = ∑[(Xi - X)(Yi - Y)]/(N-1)
A statistically significant correlation coefficient does not necessarily imply a cause-and-effect relationship
Polygenic inheritance
The transmission of traits that are governed by two or more genes
Quantitative trait loci (QTLs)
Locations on chromosomes that affect the outcome of quantitative traits, may contain multiple genes
Molecular genetic tools have greatly enhanced the ability to find regions in the genome containing QTLs
Polygenic inheritance and environmental factors both contribute to the continuum of phenotypic variation in quantitative traits
First demonstration that continuous variation is related to polygenic inheritance occurred
1909
Nilsson-Ehle's cross
1. P: True-breeding red x true-breeding white
2. F1: Intermediate red
3. F2: Great variation in redness (White, light red, intermediate red, medium red, dark red)
Nilsson-Ehle discovered the colors fell into a 1:4:6:4:1 ratio
Wheat is diploid for two different genes that control hull color
Each gene exists in two alleles: red or white
The contribution of each red allele to the color of the hull is additive
A third gene was later discovered to affect hull color
Many polygenic traits are difficult or impossible to categorize into several discrete genotypic categories
Reasons why polygenic traits are difficult to categorize
The number of genes controlling the trait increases
The influence of the environment increases
A Punnett square cannot be used to analyze most quantitative traits
Statistical methods must be employed to analyze quantitative traits
Overlap of genotypes and phenotypes for polygenic traits
One gene: Separate, well-defined categories
Three genes: Nearly all individuals fall into a single phenotypic category that corresponds to their genotype, Different genotypes have regions of overlapping phenotypes
QTLs
Quantitative Trait Loci - Regions of the genome that contain or are linked to the genes that underlie a quantitative trait
QTL mapping
1. Identify molecular markers close to QTLs
2. Associate genetically derived phenotypes (quantitative traits) with molecular markers
Detailed genomic maps have been obtained from model organisms and organisms of agricultural importance
Heritability is the amount of phenotypic variation within a group of individuals that is due to genetic variation
Heritability
If all the phenotypic variation in a group was due to genetic variation, heritability would have a value of 1
If all the phenotypic variation was due to environmental factors, heritability would have a value of 0
Phenotypic Variance
V_T = V_G + V_E
V_T is the total variance
V_G is the relative amount of variance due to genetic variation
V_E is the relative amount of variance due to environmental factors
Genetically homogeneous populations have V_G = 0, so all phenotypic variation is due to V_E
Genetically heterogeneous populations have phenotypic variance due to both V_G and V_E