مقایسهٔ روش‌ها

	آزمون مک‌دونالد-کرایتمن	نظریه همگرایی	جاروب انتخابی (D تاجیما)
حوزه	ژنتیک	ژنتیک	ژنتیک
خانواده	Process / pipeline	Process / pipeline	Process / pipeline
سال پیدایش	1991	1982	1989
پدیدآور	James McDonald & Martin Kreitman	John Kingman	Fumio Tajima
نوع	Hypothesis test	Stochastic process model	Neutrality test
منبع بنیادین	McDonald, J. H., & Kreitman, M. (1991). Adaptive protein evolution at the Adh locus in Drosophila. Nature, 351(6328), 652–654.	Kingman, J. F. C. (1982). The coalescent. Stochastic Processes and their Applications, 13(3), 235–248.	Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595.
نام‌های دیگر	MK test, Positive selection test	Kingman Coalescent, n-coalescent	Tajima's D test, Selective sweep analysis, Neutrality test
مرتبط	4	4	4
خلاصه	The McDonald-Kreitman (MK) test is a statistical method for detecting adaptive evolution by comparing ratios of synonymous and nonsynonymous substitutions within and between species. Developed by James McDonald and Martin Kreitman in 1991, this test exploits the key insight that neutral mutations accumulate at similar rates within and between species, while adaptive (nonsynonymous) substitutions should be enriched between species if they have been fixed by positive selection. The MK test has become a standard tool in molecular evolutionary biology for identifying genes under natural selection.	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.	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.