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Inverse Scaling Between the Genome-wide Deleterious Mutation Rate and the Effective Population Size
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Classroom Contents
The Population-Genetic Environment - Lecture 1
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- 1 Start
- 2 Introduction
- 3 Preface
- 4 Mathematical Theory and Scientific Understanding
- 5 Population Genetics and Evolutionary Hypotheses
- 6 Random Genetic Drift at a Neutral Locus is Inversely Proportional to the Effective Population Size
- 7 Buri's Big Drift Experiment
- 8 Most Demographic Deviations From the Standard Model Cause Ne to be the Census Number
- 9 Genetic Hitch-hiking Via Selective Sweeps Depresses Ne Below the Actual Census Size
- 10 Allele-Frequency Trajectories for Mutations in Replicate Experimental Yeast Populations
- 11 Selection Against the Constant Background Rain of Deleterious Mutations Further Depresses N.
- 12 The Concept of Effective Neutrality
- 13 Probability of Fixation of a New Mutation
- 14 Negative Scaling of N with Organism Size Defines the Range of Mutations Discernible by Selection
- 15 The Drift-Barrier Hypothesis
- 16 Drift Barriers in Biology
- 17 Evolution of Mutation Rates
- 18 Quasi-Equilibrium Mutation Rates Resulting From Deleterious-Mutation Load
- 19 Analysis of Genome Stability with a Mutation-accumulation Experiment
- 20 Mutation in Small vs. Large Genomes
- 21 Mutation-accumulation Studies Across the Tree of Life
- 22 Drake's 1991 Law for Mutation-Rate Evolution Revisited
- 23 Evaluation of the Drift-Barrier Hypothesis
- 24 Inverse Scaling Between the Genome-wide Deleterious Mutation Rate and the Effective Population Size
- 25 The Three Molecular Lines of Defense Against Mutation
- 26 Polymerase Error Rates Are Magnified in Enzymes Involved in Fewer Nucleotide Transactions
- 27 Evolution of Recombination Rates
- 28 Inverse Scaling of the Recombination Rate / Physical Distance and Genome Size is a Natural Outcome of "One Crossover / Chromosome Arm" Rule
- 29 Relative Magnitudes of Recombination c and Mutation u Rates Per Nucleotide Site
- 30 Reduced Levels of Variation in Regions of Low Recombination
- 31 Summary
- 32 Q&A
- 33 Thank You
