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	Teoria koalescencji	Rekonstrukcja Stanów Przodków	Statystyki F (FST)	Wybór (D Tajimy)
Dziedzina	Genetyka	Genetyka	Genetyka	Genetyka
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	1982	1991	1951	1989
Twórca	John Kingman	Wayne Maddison	Sewall Wright	Fumio Tajima
Typ	Stochastic process model	Inference method	Population differentiation measure	Neutrality test
Źródło pierwotne	Kingman, J. F. C. (1982). The coalescent. Stochastic Processes and their Applications, 13(3), 235–248.	Maddison, W. P. (1991). Squared-change parsimony reconstructions of ancestral states for continuous-valued characters on a phylogenetic tree. Systematic Zoology, 40(3), 308–314.	Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354.	Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595.
Inne nazwy	Kingman Coalescent, n-coalescent	ASR, Ancestral character reconstruction, Trait reconstruction	FST, Wright's F-statistics, Population differentiation index	Tajima's D test, Selective sweep analysis, Neutrality test
Pokrewne	4	3	4	4
Podsumowanie	Coalescent theory is a probabilistic framework that traces the genealogical history of DNA sequences backward in time to their most recent common ancestor. Developed by John Kingman in 1982, this method forms the foundation of modern population genetics, enabling researchers to understand demographic events, estimate genetic parameters, and reconstruct evolutionary histories from modern genetic data.	Ancestral state reconstruction (ASR) is a phylogenetic method that infers the character states (trait values or evolutionary features) of extinct ancestors by analyzing patterns of variation in extant (living) species. Developed by Wayne Maddison and colleagues in the 1990s, ASR uses the phylogenetic tree and observed trait variation in living species to estimate what ancestors possessed, enabling researchers to trace the evolutionary history of morphological, behavioral, ecological, and genomic traits.	F-statistics are a family of measures developed by Sewall Wright to quantify population genetic structure and the degree of genetic differentiation between populations. FST, the most widely used F-statistic, measures the proportion of total genetic variation attributable to differences between populations versus within populations. FST ranges from zero (no differentiation) to one (complete differentiation). These statistics have become fundamental tools for understanding population structure, detecting population admixture, and analyzing the evolutionary forces shaping genetic variation.	Tajima's D is a statistical test designed to detect selective sweeps—recent, rapid fixation of advantageous mutations—from patterns of genetic variation in DNA sequences. Developed by Fumio Tajima in 1989, this test measures deviations from neutrality by comparing different measures of DNA sequence diversity. A significant Tajima's D value indicates departure from neutral evolution, suggesting positive selection, population structure, or demographic events.