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