Evidence map›Paper›PMID 22536161›Full record

ArticlePLoS genetics2012

The probability of a gene tree topology within a phylogenetic network with applications to hybridization detection.

Yun Yu, James H Degnan, Luay Nakhleh

Abstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

96 citing papers in PubMed.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
    Review
  2. Article
  3. Phylogenetic Network Models as Graphical Models.Bulletin of mathematical biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Multi-Evidence Approach to the Systematics of the GenusInternational journal of molecular sciences · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Phylogenetic networks empower biodiversity research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Article
  15. Reading tree leaves: inferring speciation anfd extinction processes using phylogenies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yun YuDepartment of Computer Science, Rice University, Houston, Texas, United States of America.
James H Degnan
Luay Nakhleh

Funding

Evolutionary Analysis of Bacterial Genomes: High-Throughput Computational ToolsR01LM009494 · NLM · RICE UNIVERSITY · PI NAKHLEH, LUAY · 2008 to 2012
$1.3M
NLM NIH HHS R01 LM009494NLM NIH HHS R01LM009494PHS HHS EF-0832858
6 · The paper itself

Abstract

Gene tree topologies have proven a powerful data source for various tasks, including species tree inference and species delimitation. Consequently, methods for computing probabilities of gene trees within species trees have been developed and widely used in probabilistic inference frameworks. All these methods assume an underlying multispecies coalescent model. However, when reticulate evolutionary events such as hybridization occur, these methods are inadequate, as they do not account for such events. Methods that account for both hybridization and deep coalescence in computing the probability of a gene tree topology currently exist for very limited cases. However, no such methods exist for general cases, owing primarily to the fact that it is currently unknown how to compute the probability of a gene tree topology within the branches of a phylogenetic network. Here we present a novel method for computing the probability of gene tree topologies on phylogenetic networks and demonstrate its application to the inference of hybridization in the presence of incomplete lineage sorting. We reanalyze a Saccharomyces species data set for which multiple analyses had converged on a species tree candidate. Using our method, though, we show that an evolutionary hypothesis involving hybridization in this group has better support than one of strict divergence. A similar reanalysis on a group of three Drosophila species shows that the data is consistent with hybridization. Further, using extensive simulation studies, we demonstrate the power of gene tree topologies at obtaining accurate estimates of branch lengths and hybridization probabilities of a given phylogenetic network. Finally, we discuss identifiability issues with detecting hybridization, particularly in cases that involve extinction or incomplete sampling of taxa.

Indexed as

Biological EvolutionModels, TheoreticalPhylogenyProbabilityAlgorithmsAnimalsDrosophilaHybridization, GeneticSaccharomyces

Identifiers

PMID22536161
PMCPMC3330115

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.