Selection & Evolution
Once protocells can replicate with variation, Darwinian evolution begins. Explore how competition, cooperation, and natural selection among early protocell populations drove the first major evolutionary transitions toward true living cells.
Understanding Early Evolution
For evolution to work, you need three ingredients: variation (individuals differ), heredity (differences are passed on), and selection (some variants survive and reproduce better). Once protocells with heritable variation exist, Darwinian evolution is inevitable — and it drives increasing complexity.
Key Concepts
Fitness Landscapes
A fitness landscape maps every possible protocell composition to its survival probability. Peaks represent successful combinations; valleys are dead ends. Evolution is a walk across this landscape, with selection pushing populations toward peaks and mutation allowing exploration of new territory.
Group Selection
In early life, selection operated at multiple levels: within a protocell (competition between replicators) and between protocells (those with better internal chemistry survive). Group selection can favour cooperation — parasitic replicators may dominate within a cell but kill their host, while cooperative cells outcompete them at the population level.
Major Transitions
Life's history shows "major transitions" where independent units join to form a new, higher-level entity: independent replicators → chromosome, free-living cells → eukaryotic cell, individual organisms → multicellular life. Each transition requires solving the problem of cooperation versus cheating.
Parasites & Arms Races
Molecular parasites (short RNA sequences that exploit the replication machinery without contributing) are an early and recurring challenge. The "arms race" between parasites and hosts drives innovation — compartmentalisation evolved partly as a defence against parasitic replicators.
AI Analysis Tools
Fitness Landscape Mapping
Generate and visualise multi-dimensional fitness landscapes for protocell populations. Identify adaptive peaks, valleys, and neutral networks.
NK ModelLandscape VisualisationGroup Selection Dynamics
Model multi-level selection between competing protocell lineages. Track cooperation vs parasitism in populations sharing resources.
Multi-Level SelectionParasite ControlMajor Transitions Detector
Identify major evolutionary transitions in simulation data: compartmentalisation, replicator integration, division-of-labour emergence.
Transition DetectionAnomaly Detection