Evidence map›Paper›PMID 33345772›Full record

ArticleeLife2020

Determining the probability of hemiplasy in the presence of incomplete lineage sorting and introgression.

Mark S Hibbins, Matthew Js Gibson, Matthew W Hahn

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Loss, persistence and reversal of phenotypic traits.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  2. Article
  3. Review
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  5. Phylogenomics and macroevolution of a florally diverse Neotropical plant clade.Evolution; international journal of organic evolution · 2025
    Article
  6. Article
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  9. Insect Phylogenomics: From Experiment Planning to Post-phylogenetic Analyses.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Phylogenomic comparative methods: Accurate evolutionary inferences in the presence of gene tree discordance.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  20. Article
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.

Mark S HibbinsDepartment of Biology, Indiana University, Bloomington, United States.ORCID https://orcid.org/0000-0002-4651-3704
Matthew Js GibsonDepartment of Biology, Indiana University, Bloomington, United States.ORCID https://orcid.org/0000-0001-7855-1628
Matthew W HahnDepartment of Biology, Indiana University, Bloomington, United States.ORCID http://orcid.org/0000-0002-5731-8808

Funding

National Science Foundation DEB-1936187
6 · The paper itself

Abstract

The incongruence of character states with phylogenetic relationships is often interpreted as evidence of convergent evolution. However, trait evolution along discordant gene trees can also generate these incongruences - a phenomenon known as hemiplasy. Classic comparative methods do not account for discordance, resulting in incorrect inferences about the number, timing, and direction of trait transitions. Biological sources of discordance include incomplete lineage sorting (ILS) and introgression, but only ILS has received theoretical consideration in the context of hemiplasy. Here, we present a model that shows introgression makes hemiplasy more likely, such that methods that account for ILS alone will be conservative. We also present a method and software (

Indexed as

Genetic IntrogressionGenetic SpeciationModels, GeneticSoftwareAnimalsGenotypeHumansPhenotypePhylogenycomparative methodsconvergent evolutionevolutionary biologygene tree discordanceintrogressionnonephylogenetics

Identifiers

PMID33345772
PMCPMC7800383

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Registered trials

None linked

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.