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Population Genetics & Evolutionary Dynamics

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Abstractions about how populations evolve under selection and inheritance, spanning quantitative-genetic models (infinitesimal model, additive genetic effects, selection coefficient), population-level processes (evolutionary rescue, secondary contact, minimum viable population), and sexual-selection hypotheses (sensory trap, koinophilia, sexual antagonistic coevolution).

30 abstractions in this family — domain-specific abstractions that sit near one another in structural-signature space (k-means over structural-signature embeddings). Each is shown with its short description.

  • Additive genetic effects — Allelic contributions to a quantitative phenotype that combine linearly across copies and loci under a declared population and environmental model.
  • Agricultural weed syndrome — A recurrent suite of adaptive traits and rapid-evolution capacities that enables plants to persist, reproduce and spread in frequently disturbed managed agricultural environments.
  • Aposematism — Signaling by prey that advertises defenses making attack or consumption unprofitable to predators.
  • Beneficial acclimation hypothesis — The physiological hypothesis that acclimation to a particular environment improves an organism's performance in that same environment relative to alternative acclimation histories.
  • Branching process — A stochastic population process in which individuals independently generate random descendants according to a declared reproduction law.
  • Complex segregation analysis — Fit competing pedigree transmission models to phenotypic family data to test whether a trait distribution is consistent with a major Mendelian locus alongside polygenic, environmental, and ascertainment effects.
  • Cultural hitchhiking — A gene-culture coevolution process in which selection on socially learned traits reduces diversity at genetically neutral loci transmitted through the same population lineages.
  • Evolutionary data mining — A family of data-mining methods that use evolutionary search to evolve rules, feature sets, model structures, parameters, or pipelines under a data-dependent fitness function.
  • Evolutionary rescue — Population persistence under environmental deterioration because natural selection raises the frequency of heritable variants fast enough to reverse decline.
  • Fitness seascape — Model genotype or phenotype fitness as a function that changes with time or environment, so adaptive paths respond to a moving selective surface rather than a fixed landscape.
  • General selection model — A population-genetic recurrence describing allele-frequency change from genotype-specific relative fitnesses.
  • Genetic reductionism — The view that genes alone or primarily suffice to explain complex traits, behavior or social outcomes.
  • Genotype–phenotype distinction — The genetics distinction between inherited molecular information and the observable traits produced through its interaction with development and environment.
  • Illegitimate receiver — An unintended organism that intercepts another organism’s communication signal and gains information that can alter fitness.
  • Infinitesimal model — A quantitative-genetic model treating a trait’s heritable component as the sum of very many individually tiny genetic effects.
  • Koinophilia — An evolutionary hypothesis that mate choice favors individuals with common, population-typical traits and disfavors unusual or mutant phenotypes.
  • Matrix population models — Stage- or age-structured population models that project abundance by multiplying a population-state vector by a matrix of survival, transition, growth, and reproduction rates.
  • Minimum viable population — A model-dependent lower population bound associated with a specified probability of persistence over a stated time horizon under demographic, environmental, genetic and catastrophic uncertainty.
  • Nest protection hypothesis — Propose that some birds add fresh green or aromatic plant material to active nests because plant secondary compounds reduce parasites or pathogens, thereby benefiting nest occupants.
  • Next-generation matrix — A matrix whose entries give expected new cases or offspring of each type produced by one individual of another type, with spectral radius yielding a reproduction threshold.
  • Pollinator-mediated selection — Natural selection on floral traits caused by differential visitation, pollen transfer and reproductive success associated with pollinator behavior.
  • Polygenic adaptation — Evolutionary adaptation produced by coordinated small allele-frequency shifts across many loci affecting a quantitative trait rather than by fixation of one large-effect mutation.
  • Population-based incremental learning — An estimation-of-distribution optimizer that evolves a probability vector summarizing successful sampled solutions instead of maintaining genetic individuals across generations.
  • Premature convergence — The failure mode in an evolutionary algorithm where population diversity collapses around a suboptimal region before adequate exploration occurs.
  • Secondary contact — The renewed geographic encounter of populations that diverged in allopatry, permitting competition and gene flow whose outcomes depend on accumulated reproductive isolation.
  • Selection coefficient — Express a genotype or allele's fitness disadvantage relative to a declared reference in a population-genetic model, linking relative reproductive weighting to predicted frequency change.
  • Selection limits — A plateau in trait response despite continued directional selection, caused by exhausted heritable variation, opposing forces, or constrained genetic architecture.
  • Sensory trap hypothesis — An evolutionary hypothesis in which a mating signal succeeds by mimicking a stimulus to which receivers already evolved a response in a nonsexual context.
  • Sexual antagonistic coevolution — Reciprocal evolutionary change between sex-specific traits when a mating interaction benefits one sex while imposing fitness costs on the other.
  • Sexual selection in flowering plants — Evaluate differential mating and fertilization success in angiosperms through pollen-donor competition, pollinator-mediated mating opportunity, and recipient-side pre- and post-pollination filtering while separating sexual selection from fecundity and viability selection.