ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

McDonald-Kreitmanテスト×F統計量 (FST)×Selection Sweep (Tajima's D)×
分野遺伝学遺伝学遺伝学
系統Process / pipelineProcess / pipelineProcess / pipeline
提唱年199119511989
提唱者James McDonald & Martin KreitmanSewall WrightFumio Tajima
種類Hypothesis testPopulation differentiation measureNeutrality test
原典McDonald, J. H., & Kreitman, M. (1991). Adaptive protein evolution at the Adh locus in Drosophila. Nature, 351(6328), 652–654. DOI ↗Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354. DOI ↗Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595. DOI ↗
別名MK test, Positive selection testFST, Wright's F-statistics, Population differentiation indexTajima's D test, Selective sweep analysis, Neutrality test
関連444
概要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.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.
ScholarGateデータセット
  1. v1
  2. 3 出典
  3. PUBLISHED
  1. v1
  2. 3 出典
  3. PUBLISHED
  1. v1
  2. 3 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: McDonald-Kreitman Test · F-statistics (FST) · Selection Sweep (Tajima's D). 2026-06-20に以下より取得 https://scholargate.app/ja/compare