Evolutionary rate at the molecular level¶
Kimura, M. (1968). Evolutionary rate at the molecular level. Nature, 217(5129), 624-626.
Cited by¶
2 citations across 2 artifacts.
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Primes¶
- Stochasticity vs. Determinism
- Stochastic systems with random inputs can produce highly structured statistical patterns: a random walk exhibits Brownian motion with a well-defined mean-square displacement; random mutations filtered by deterministic selection produce adaptive evolution, as Kimura (1968) showed in his neutral theory of molecular evolution; randomly firing neurons produce reliable neural codes.
This sourceFoundational neutral theory of molecular evolution: shows how stochastic genetic drift filtered by deterministic selection produces lawlike rates of molecular substitution, exemplifying order arising from stochastic aggregation.
- Stochastic systems with random inputs can produce highly structured statistical patterns: a random walk exhibits Brownian motion with a well-defined mean-square displacement; random mutations filtered by deterministic selection produce adaptive evolution, as Kimura (1968) showed in his neutral theory of molecular evolution; randomly firing neurons produce reliable neural codes.
- Variation Strategies
- Organisms with high mutation rates explore the fitness landscape faster but incur higher mutational load; organisms with low mutation rates are stable but prone to extinction under environmental change, a trade-off Kimura (1968) made precise in his neutral theory of molecular evolution.
This sourceFoundational neutral theory of molecular evolution: shows how stochastic genetic drift filtered by deterministic selection produces lawlike rates of molecular substitution, exemplifying order arising from stochastic aggregation.
- Organisms with high mutation rates explore the fitness landscape faster but incur higher mutational load; organisms with low mutation rates are stable but prone to extinction under environmental change, a trade-off Kimura (1968) made precise in his neutral theory of molecular evolution.
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