Evidence map›Paper›PMID 29220490›Full record

ArticleMolecular biology and evolution2018

Bayesian Inference of Species Networks from Multilocus Sequence Data.

Chi Zhang, Huw A Ogilvie, Alexei J Drummond, Tanja Stadler

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
9.1field-weighted citation impact, top 1% 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

82 citing papers in PubMed, 224 citations in OpenAlex.

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  9. The power of coalescent methods for inferring recent and ancient gene flow in endangered Bactrian camels.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  11. NANUQAlgorithms for molecular biology : AMB · 2025
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  16. Mathematically tractable models of random phylogenetic networks: an overview of some recent developments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
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22 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

4 authors at 3 institutions in 4 countries.

Chi ZhangDepartment of Biosystems Science and Engineering, Eidgenössische Technische Hochschule Zürich, Basel, Switzerland.
Huw A OgilvieDivision of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australia.
Alexei J DrummondCentre for Computational Evolution, University of Auckland, Auckland, New Zealand.
Tanja StadlerDepartment of Biosystems Science and Engineering, Eidgenössische Technische Hochschule Zürich, Basel, Switzerland.
University of Auckland · NZBoard of the Swiss Federal Institutes of Technology · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reticulate species evolution, such as hybridization or introgression, is relatively common in nature. In the presence of reticulation, species relationships can be captured by a rooted phylogenetic network, and orthologous gene evolution can be modeled as bifurcating gene trees embedded in the species network. We present a Bayesian approach to jointly infer species networks and gene trees from multilocus sequence data. A novel birth-hybridization process is used as the prior for the species network, and we assume a multispecies network coalescent prior for the embedded gene trees. We verify the ability of our method to correctly sample from the posterior distribution, and thus to infer a species network, through simulations. To quantify the power of our method, we reanalyze two large data sets of genes from spruces and yeasts. For the three closely related spruces, we verify the previously suggested homoploid hybridization event in this clade; for the yeast data, we find extensive hybridization events. Our method is available within the BEAST 2 add-on SpeciesNetwork, and thus provides an extensible framework for Bayesian inference of reticulate evolution.

Indexed as

Genetic TechniquesHybridization, GeneticModels, GeneticPhylogenyBayes TheoremComputer SimulationMolecular Sequence DataPiceaSaccharomyceshybridizationincomplete lineage sortingmultispecies coalescentreticulate evolution

Identifiers

PMID29220490
PMCPMC5850812
OpenAlexW2952712909

What OpenQuestion holds

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LicenceCC BY-NC
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.