Detection and Polarization of Introgression in a Five-Taxon Phylogeny
Open accessPublished version of a preprint
Abstract
When multiple speciation events occur rapidly in succession, discordant genealogies due to incomplete lineage sorting (ILS) can complicate the detection of introgression. A variety of methods, including the [Formula: see text]-statistic (a.k.a. the "ABBA-BABA test"), have been proposed to infer introgression in the presence of ILS for a four-taxon clade. However, no integrated method exists to detect introgression using allelic patterns for more complex phylogenies. Here we explore the issues associated with previous systems of applying [Formula: see text]-statistics to a larger tree topology, and propose new [Formula: see text] tests as an integrated framework to infer both the taxa involved in and the direction of introgression for a symmetric five-taxon phylogeny. Using theory and simulations, we show that the [Formula: see text] statistics correctly identify the introgression donor and recipient lineages, even at low rates of introgression. [Formula: see text] is also shown to have extremely low false-positive rates. The [Formula: see text] tests are computationally inexpensive to calculate and can easily be applied to phylogenomic data sets, both genome-wide and in windows of the genome. In addition, we explore both the principles and problems of introgression detection in even more complex phylogenies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
DFOIL statistics revealed extensive gene flow among the Rerio clade.
“The DFOIL statistics (Fig. 3D, Table S5, S10) revealed extensive gene flow among the Rerio clade.”
From Genomic and genetic insights into speciation and pigment pattern diversification in <i>Danio</i> fishes (2025) · cites this paper as [39]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Reconstructing Indian population history
Reich, D., Thangaraj, K., Patterson, N., Price, A. L., & Singh, L. (2009) · Nature · doi:10.1038/nature08365 · Cited by 1,674 · see citing works
THE HIDDEN SIDE OF INVASIONS: MASSIVE INTROGRESSION BY LOCAL GENES
Currat, M., Ruedi, M., Petit, R. J., & Excoffier, L. (2008) · Evolution · doi:10.1111/j.1558-5646.2008.00413.x · Cited by 816 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Eriksson A., Manica A. 2012. Effect of ancient population structure on the degree of polymorphism shared between modern human populations and ancient hominins. Proc. Natl. Acad. Sci. USA. 109:13956-13960.
- Huson D.H., Klöpper T., Lockhart P.J., Steel M.A. 2005. Reconstruction of reticulate networks from gene trees. In: Miyano S., Mesirov J., Kasif S., Istrail S., Pevzner P.A., Waterman M., editors. Research in computational molecular biology. Berlin Heidelberg: Springer. p. 233-249.
- Jónsson H., Schubert M., Seguin-Orlando A., Ginolhac A., Petersen L., Fumagalli M., Albrechtsen A., Petersen B., Korneliussen T.S., Vilstrup J.T., Lear T., Myka J.L., Lundquist J., Miller D.C., Alfarhan A.H., Alquraishi S.A., Al-Rasheid K.A.S., Stagegaard J., Strauss G., Bertelsen M.F., Sicheritz-Ponten T., Antczak D.F., Bailey E., Nielsen R., Willerslev E., Orlando L. 2014. Speciation with gene flow in equids despite extensive chromosomal plasticity. Proc. Natl Acad. Sci. USA. 111:18655-18660.
Cited by
Sorted by citations
Large-scale ruminant genome sequencing provides insights into their evolution and distinct traits
Chen, L., Qiu, Q., Jiang, Y., Wang, K., Lin, Z., Li, Z., Bibi, F., Yang, Y., Wang, J., Nie, W., et al. (2019) · Science · doi:10.1126/science.aav6202 · Cited by 441 · see citing works
Phylogenomics reveals three sources of adaptive variation during a rapid radiation
Pease, J. B., Haak, D. C., Hahn, M. W., & Moyle, L. C. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002379 · Cited by 432 · see citing works
Self-citationLu, J., Podobnik, M., Huang, J., McCluskey, B. M., McCarthy, S. A., Wood, J., Collins, J., Torrance, J., Sims, Y., Gao, D., et al. (2025) · doi:10.1101/2025.10.17.682988 · Cited by 4 · see citing works
- Authors
- Pease, J. B., & Hahn, M. W.
- Affiliations
- Indiana University Bloomington (US)
- Corresponding author
- Pease, James B.
- Venue
- Systematic Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-04-17
- Volume
- 64
- Issue
- 4
- Pages
- 651-662
- ISSN
- 1063-5157 (ISSN-L)
- 1076-836X
- OpenAlex
- W2110687077
- Cited by
- 268
- References
- 2
- Citations by year
- 2026: 19 · 2025: 30 · 2024: 28 · 2023: 26 · 2022: 21 · 2021: 33 · 2020: 23 · 2019: 32 · 2018: 29 · 2017: 10 · 2016: 13 · 2015: 3 · 2014: 1
- FWCI
- 7.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Systematic Biology (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (1127059)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Plant Diversity and Evolution
- Keywords
- introgression detection, incomplete lineage sorting, phylogenomics, hybridization, false positive rate
- MeSH terms
- Animals, Classification, Computer Simulation, Data Interpretation, Statistical, Humans, Phylogeny, Neanderthals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review