Molecular Evolution Calculators
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Neutral Theory of Molecular Evolution
Kimura (1968): most nucleotide substitutions are selectively neutral or nearly neutral. Rate of neutral substitution = mutation rate for neutral sites (μ_neutral). Natural selection: beneficial mutations fixed faster than neutral rate; deleterious mutations fixed slower or purged. Neutral theory explains: large amounts of molecular variation within species (polymorphism); relatively constant substitution rates (molecular clock); synonymous substitution rates > non-synonymous rates (most amino acid changes are deleterious → selected against).
Molecular Clock
Neutral substitutions accumulate at approximately constant rate r = μ_neutral. Divergence d = 2μt for two lineages (both accumulate mutations since splitting). t = d / (2μ) → estimate divergence time. Calibration: known divergence times from fossils or biogeography. Relaxed molecular clock: rates vary between lineages (BEAST software).
Phylogenetic Methods
Distance methods: pairwise distances → UPGMA, Neighbor-Joining (NJ). Parsimony: minimize total mutations. Maximum likelihood (ML): find tree maximizing probability of observing data given a substitution model. Bayesian inference: posterior probability of tree given data + prior. Standard: ML (RAxML, IQ-TREE) or Bayesian (MrBayes, BEAST).
Detecting Selection
dN/dS (ω): > 1 = positive selection; < 1 = purifying; = 1 = neutral. Ka/Ks tests, McDonald-Kreitman test, Tajima's D.
Glossary
Frequently Asked Questions
Molecular evolution studies changes in biological sequences (DNA, RNA, proteins) over evolutionary time and uses sequence data to: Infer evolutionary relationships (phylogenetics — which species are most closely related). Estimate divergence times (molecular clock). Understand mechanisms of evolutionary change (selection, drift, mutation at the molecular level). Detect signatures of adaptive evolution (positive selection). Study the evolution of specific gene families, regulatory elements, or non-coding RNAs. Molecular evolution provided the first rigorous quantitative framework for testing evolutionary hypotheses — long before fossil records or morphology could.
Kimura's neutral theory (1968): the majority of nucleotide substitutions in evolution are selectively neutral — they don't significantly affect organism fitness. Key predictions: Most molecular variation within and between species reflects neutral mutations, not adaptive change. Rate of neutral substitution ≈ rate of neutral mutation (μ_neutral) — relatively constant across lineages → molecular clock. Synonymous (silent) substitution rate > non-synonymous rate: most amino acid changes are mildly deleterious → purified by natural selection; synonymous changes are mostly neutral → accumulate freely. Proteins under strong functional constraint evolve more slowly than those with less constraint. Evidence: cytochrome c evolves ~100× slower than fibrinopeptides — consistent with different selective constraints.
Molecular clock hypothesis: neutral substitutions accumulate at a roughly constant rate over time → genetic divergence between two lineages is proportional to divergence time. Formula: d = 2μt → t = d/(2μ). μ = neutral substitution rate; d = sequence divergence between two sequences; t = time since common ancestor. Calibration: use known divergence times (from fossils, biogeography, or geological events) to determine μ for a gene or genome region. Application: estimate when lineages split — even in the absence of fossils. Limitations: rates vary between lineages (generation time, body size, metabolic rate effects) → strict molecular clock is violated for most data. Relaxed molecular clock models (BEAST, MCMCtree): allow rates to vary across branches while still estimating divergence times with confidence intervals.
Steps in molecular phylogenetics: (1) Collect sequences: DNA, RNA, or protein sequences for the taxa of interest. (2) Multiple sequence alignment: align homologous positions (MUSCLE, MAFFT). (3) Select substitution model: describes how sequences change (JC69, HKY85, GTR+G+I); selected by AIC/BIC (jModelTest, ModelTest-NG). (4) Build tree: Distance (NJ, UPGMA): fast, approximate. Maximum parsimony: minimize total mutations; computationally intensive. Maximum likelihood (ML): find tree with highest probability of producing the observed data — statistical optimality criterion; standard (IQ-TREE, RAxML). Bayesian inference: calculates posterior probability of trees (MrBayes, BEAST) — provides full uncertainty quantification. (5) Assess support: bootstrap (ML); posterior probability (Bayesian).