Evidence map›Paper›PMID 26950302›Full record

ArticlePLoS genetics2016

Inferring Phylogenetic Networks with Maximum Pseudolikelihood under Incomplete Lineage Sorting.

Claudia Solís-Lemus, Cécile Ané

Abstract read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers.

0numbers the graph read from it
0cells of the map it votes in
179citing 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

179 citing papers in PubMed.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
    Review
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  6. Reticulated adaptive radiation and phylogenomic diversity loss in the Hawaiian honeycreepers.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Phylogenomic conflict inPlant diversity · 2026
    Article
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  10. CAMUS: scalable phylogenetic network estimation.Bioinformatics (Oxford, England) · 2026
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119 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

2 authors.

Claudia Solís-LemusDepartment of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Cécile AnéDepartment of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phylogenetic networks are necessary to represent the tree of life expanded by edges to represent events such as horizontal gene transfers, hybridizations or gene flow. Not all species follow the paradigm of vertical inheritance of their genetic material. While a great deal of research has flourished into the inference of phylogenetic trees, statistical methods to infer phylogenetic networks are still limited and under development. The main disadvantage of existing methods is a lack of scalability. Here, we present a statistical method to infer phylogenetic networks from multi-locus genetic data in a pseudolikelihood framework. Our model accounts for incomplete lineage sorting through the coalescent model, and for horizontal inheritance of genes through reticulation nodes in the network. Computation of the pseudolikelihood is fast and simple, and it avoids the burdensome calculation of the full likelihood which can be intractable with many species. Moreover, estimation at the quartet-level has the added computational benefit that it is easily parallelizable. Simulation studies comparing our method to a full likelihood approach show that our pseudolikelihood approach is much faster without compromising accuracy. We applied our method to reconstruct the evolutionary relationships among swordtails and platyfishes (Xiphophorus: Poeciliidae), which is characterized by widespread hybridizations.

Indexed as

Evolution, MolecularGene Transfer, HorizontalPhylogenyComputer SimulationLikelihood FunctionsModels, Genetic

Identifiers

PMID26950302
PMCPMC4780787

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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.