Con Gen
Effective Population Size and Genetic Drift
Contextual Introduction
Often discussed later in the material, but covered earlier due to relevance to recent paper.
Relationship to genetic drift emphasized.
Focus on effective population size ahead of the mutation topic and the selection discussion.
Anticipation of finishing material by Wednesday in preparation for the exam scheduled for next Monday (the 23rd).
Class reminder: No class on Friday.
Assignment Timeline
Paper due next Friday; class prep altered due to presentation needs.
Definitions of Population Sizes
Census Population Size
Defined as the total number of individuals in a population.
Effective Population Size
Represents the number of individuals contributing to the next generation.
Unlike census size, accounts for factors like breeding capability and social hierarchy.
Key Definitions and Identification
Importance of being able to not only identify but explain effective population size.
Link between idealized versus actual populations explained.
Assumptions of Effective Population Size
Critical Assumptions
All adults can breed.
No generational overlap.
Constant number of breeding individuals.
No mutation or selection.
Random union of gametes.
Application
Treats populations as a snapshot under various assumptions, providing nuanced insight about genetic diversity compared to census population size.
Effective population size can vary significantly from census numbers due to various factors.
Numerical Cases and Calculations
Population Models
Example: A population of 1,000 individuals can have varying effective population sizes (e.g., 100 or 500).
Genetic diversity loss can mirror that of an idealized population under specific assumptions.
Challenges of Calculation
Effective population size calculations are more complex than census figures, often requiring genetic information and accounting for additional factors.
NE to NC Ratio
Meaning and Importance
Ratio of effective population size (NE) to census population size (NC) captures the relative health of genetic diversity in a population.
Typically, populations show a major gap where effective population sizes can be as low as 10% of census sizes, highlighting genetic risks.
Genetic Diversity and Hardy-Weinberg Equilibrium
Equilibrium Assumptions Related
Reflect similar principles to those of Hardy-Weinberg equilibrium focusing on controlled systems.
Concept Integration
Comparing actual populations’ dynamics to assumptions allows detailed insights into genetic diversity.
Mutations and Their Effects on Genetic Materials
Nucleotides
Basic building blocks of nucleic acids consisting of nitrogenous bases (A, C, G, T), deoxyribose sugars, and phosphate groups.
Nucleosides are defined as nucleotides without nitrogen bases.
Types of Mutations
Varieties exist, including silent mutations, point mutations, insertions, deletions, and frame shifts.
Different Types of Mutations
Silent Mutations
Codon position unchanged.
Example: A change from cytosine to thymine may have no effect on the encoded amino acid.
Non-deleterious and adaptive traits often observed.
Base Substitutions
Can be synonymous (no amino acid change) or nonsynonymous (result in a different amino acid).
Example of Nonsynonymous Mutation
Sickle cell anemia linked to a substitution that causes a change in hemoglobin.
Insertion and Deletion Impact
Changes in nucleotide sequence that can create frame shifts impacting overall protein synthesis.
Selection Mechanisms
General Concept of Selection
Defined as specific traits becoming more common due to differential survival and reproduction.
Comparison with the phrase "survival of the fittest" redefined to focus on reproduction.
Ernst Mayr’s Contributions
Discussed how the combination of chance (mutation) and