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Home›Genetics›Selection Sweep (Tajima's D)
Process / pipelineHypothesis testing

Selection Sweep (Tajima's D)

Selective Sweep Detection using Tajima's D Statistic · Also known as: Tajima's D test, Selective sweep analysis, Neutrality test

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.

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Selection Sweep (Tajima's D)
Coalescent TheoryF-statistics (FST)HKA TestMcDonald-Kreitman Test

When to use it

Use Tajima's D when investigating whether a genomic region shows evidence of recent selection or demographic events. It is most powerful for detecting recent, hard selective sweeps in moderately-sized populations. Avoid applying it when demographic history is complex or unknown, as population expansion or subdivision can produce D values mimicking selection. It is particularly useful as a screening test before deeper phylogenetic or population structure analysis.

Strengths & limitations

Strengths
  • Simple calculation requiring only sequence alignment data
  • Does not require specification of a selection model or fitness landscape
  • Computationally efficient and widely implemented in population genetics software
  • Sensitive to recent selective sweeps and demographic events
  • Provides intuitive interpretation of deviation from neutrality
Limitations
  • Cannot distinguish between positive selection and population expansion, which produce similar D signatures
  • Limited power with small sample sizes or short genomic regions
  • Sensitive to recombination, which can break the characteristic selection sweep signature
  • Assumes a single, well-mixed population; population structure inflates false positive rates
  • Does not identify the target of selection or the mechanism of selective advantage

Frequently asked

What does a negative Tajima's D value indicate?

Negative D suggests an excess of rare alleles relative to intermediate-frequency variants. This is consistent with recent positive selection (a sweep) or recent population expansion, both of which increase the proportion of rare, newly-arising mutations.

Can Tajima's D distinguish between selection and demographic change?

Not definitively. Both recent selection and population expansion produce negative D values. Distinguishing them requires additional tests (e.g., Fu's Fs test) or demographic modeling. Multiple neutrality tests applied jointly provide stronger inference.

How many sequences are needed for a reliable Tajima's D test?

A minimum of 20–30 sequences is recommended for adequate statistical power. Smaller sample sizes reduce power dramatically. The test's power also depends on the genomic region's length and the intensity of selection.

Does recombination affect the interpretation of Tajima's D?

Yes. Recombination breaks linkage and decays the selective sweep signature over time. A region under strong recent selection may show reduced signal if recombination has shuffled alleles since the sweep occurred.

Sources

  1. Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595. DOI: 10.1093/genetics/123.3.585 ↗
  2. Braverman, J. M., Hudson, R. R., Kaplan, N. L., Langley, C. H., & Stephan, W. (1995). The hitchhiking effect on the site frequency spectrum of DNA polymorphisms. Genetics, 140(2), 783–796. DOI: 10.1093/genetics/140.2.783 ↗
  3. Fay, J. C., & Wu, C. I. (2000). Hitchhiking under positive Darwinian selection. Genetics, 155(3), 1405–1413. DOI: 10.1093/genetics/155.3.1405 ↗

How to cite this page

ScholarGate. (2026, June 3). Selective Sweep Detection using Tajima's D Statistic. ScholarGate. https://scholargate.app/en/genetics/selection-sweep

Related methods

Coalescent TheoryF-statistics (FST)HKA TestMcDonald-Kreitman Test

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Referenced by

Coalescent TheoryF-statistics (FST)HKA TestMcDonald-Kreitman Test

Similar methods

HKA TestF-statistics (FST)McDonald-Kreitman TestPhylogenetic AnalysisCoalescent TheoryAdmixture AnalysisLD Block AnalysisNetwork-based Phylogenetic Analysis

Related reference concepts

Molecular Adaptation and Selection DetectionAllele Frequency Spectrum and Site Frequency SpectrumMolecular Population GeneticsNucleotide Diversity and Variant ClassificationNeutral Theory of Molecular EvolutionNatural Selection and Fitness

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — Selection Sweep (Tajima's D) (Selective Sweep Detection using Tajima's D Statistic). Retrieved 2026-07-21 from https://scholargate.app/en/genetics/selection-sweep · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Fumio Tajima
Subfamily
Hypothesis testing
Year
1989
Type
Neutrality test
Related methods
Coalescent TheoryF-statistics (FST)HKA TestMcDonald-Kreitman Test
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