Evidence map›Paper›PMID 38372830›Full record

ArticleJournal of mathematical biology2024

Anomalous networks under the multispecies coalescent: theory and prevalence.

Cécile Ané, John Fogg, Elizabeth S Allman, Hector Baños, John A Rhodes

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.3field-weighted citation impact, top 2% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. CAMUS: scalable phylogenetic network estimation.Bioinformatics (Oxford, England) · 2026
    Article
  3. Article
  4. Article
  5. NANUQAlgorithms for molecular biology : AMB · 2025
    Article
  6. Article
  7. Article
  8. Leveraging graphical model techniques to study evolution on phylogenetic networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Cécile AnéDepartment of Statistics, University of Wisconsin - Madison, Madison, WI, 53706, USA. cecile.ane@wisc.edu.ORCID 0000-0002-4702-8217
John FoggDepartment of Statistics, University of Wisconsin - Madison, Madison, WI, 53706, USA.
Elizabeth S AllmanDepartment of Mathematics and Statistics, University of Alaska Fairbanks, Fairbanks, AK, 99775-6660, USA.
Hector BañosDepartment of Biochemistry & Molecular Biology, Dalhousie University, Halifax, NS, Canada.
John A RhodesDepartment of Mathematics and Statistics, University of Alaska Fairbanks, Fairbanks, AK, 99775-6660, USA.
University of Alaska Fairbanks · USUniversity of Wisconsin–Madison · USDalhousie University · CA

Funding

The Administrative CoreP20GM103395 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI BRIAN M BARNES · 2012 to 2026
$66.1M
NIGMS NIH HHS P20GM103395
6 · The paper itself

Abstract

Reticulations in a phylogenetic network represent processes such as gene flow, admixture, recombination and hybrid speciation. Extending definitions from the tree setting, an anomalous network is one in which some unrooted tree topology displayed in the network appears in gene trees with a lower frequency than a tree not displayed in the network. We investigate anomalous networks under the Network Multispecies Coalescent Model with possible correlated inheritance at reticulations. Focusing on subsets of 4 taxa, we describe a new algorithm to calculate quartet concordance factors on networks of any level, faster than previous algorithms because of its focus on 4 taxa. We then study topological properties required for a 4-taxon network to be anomalous, uncovering the key role of [Formula: see text]-cycles: cycles of 3 edges parent to a sister group of 2 taxa. Under the model of common inheritance, that is, when each gene tree coalesces within a species tree displayed in the network, we prove that 4-taxon networks are never anomalous. Under independent and various levels of correlated inheritance, we use simulations under realistic parameters to quantify the prevalence of anomalous 4-taxon networks, finding that truly anomalous networks are rare. At the same time, however, we find a significant fraction of networks close enough to the anomaly zone to appear anomalous, when considering the quartet concordance factors observed from a few hundred genes. These apparent anomalies may challenge network inference methods.

Indexed as

AlgorithmsPhylogenyPrevalenceAdmixture graphAnomalous quartetsConcordance factorsGene flowGene treeIntrogressionSpecies networkSpecies tree

Identifiers

PMID38372830
OpenAlexW4391988956

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.