Evidence map›Paper›PMID 25070970›Full record

ReviewSystematic biology2015

The inference of gene trees with species trees.

Gergely J Szöllősi, Eric Tannier, Vincent Daubin, Bastien Boussau

Erratum issuedAbstract readReview
In one paragraph

Review in Systematic biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Article
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  9. Article
  10. Ages, sizes and (trees within) trees of taxa and of urns, from Yule to today.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  11. Article
  12. Poplar: a phylogenomics pipeline.Bioinformatics advances · 2025
    Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Article
  19. Article
  20. Phylogenomic Testing of Root Hypotheses.Genome biology and evolution · 2023
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Gergely J SzöllősiELTE-MTA "Lendület" Biophysics Research Group, Pázmány P. stny. 1A., 1117 Budapest, Hungary; Laboratoire de Biométrie et Biologie Evolutive, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Université Lyon 1, F-69622 Villeurbanne, France; Université de Lyon, F-69000 Lyon, France; and Institut National de Recherche en Informatique et en Automatique Rhône-Alpes, F-38334 Montbonnot, France;
Eric TannierELTE-MTA "Lendület" Biophysics Research Group, Pázmány P. stny. 1A., 1117 Budapest, Hungary; Laboratoire de Biométrie et Biologie Evolutive, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Université Lyon 1, F-69622 Villeurbanne, France; Université de Lyon, F-69000 Lyon, France; and Institut National de Recherche en Informatique et en Automatique Rhône-Alpes, F-38334 Montbonnot, France; ELTE-MTA "Lendület" Biophysics Research Group, Pázmány P. stny. 1A., 1117 Budapest, Hungary; Laboratoire de Biométrie et Biologie Evolutive, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Université Lyon 1, F-69622 Villeurbanne, France; Université de Lyon, F-69000 Lyon, France; and Institut National de Recherche en Informatique et en Automatique Rhône-Alpes, F-38334 Montbonnot, France; ELTE-MTA "Lendület" Biophysics Research Group, Pázmány P. stny. 1A., 1117 Budapest, Hungary; Laboratoire de Biométrie et Biologie Evolutive, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Université Lyon 1, F-69622 Villeurbanne, France; Université de Lyon, F-69000 Lyon, France; and Institut National de Recherche en Informatique et en Automatique Rhône-Alpes, F-38334 Montbonnot, France;
Vincent DaubinELTE-MTA "Lendület" Biophysics Research Group, Pázmány P. stny. 1A., 1117 Budapest, Hungary; Laboratoire de Biométrie et Biologie Evolutive, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Université Lyon 1, F-69622 Villeurbanne, France; Université de Lyon, F-69000 Lyon, France; and Institut National de Recherche en Informatique et en Automatique Rhône-Alpes, F-38334 Montbonnot, France; ELTE-MTA "Lendület" Biophysics Research Group, Pázmány P. stny. 1A., 1117 Budapest, Hungary; Laboratoire de Biométrie et Biologie Evolutive, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Université Lyon 1, F-69622 Villeurbanne, France; Université de Lyon, F-69000 Lyon, France; and Institut National de Recherche en Informatique et en Automatique Rhône-Alpes, F-38334 Montbonnot, France;
Bastien BoussauELTE-MTA "Lendület" Biophysics Research Group, Pázmány P. stny. 1A., 1117 Budapest, Hungary; Laboratoire de Biométrie et Biologie Evolutive, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Université Lyon 1, F-69622 Villeurbanne, France; Université de Lyon, F-69000 Lyon, France; and Institut National de Recherche en Informatique et en Automatique Rhône-Alpes, F-38334 Montbonnot, France; ELTE-MTA "Lendület" Biophysics Research Group, Pázmány P. stny. 1A., 1117 Budapest, Hungary; Laboratoire de Biométrie et Biologie Evolutive, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Université Lyon 1, F-69622 Villeurbanne, France; Université de Lyon, F-69000 Lyon, France; and Institut National de Recherche en Informatique et en Automatique Rhône-Alpes, F-38334 Montbonnot, France; bastien.boussau@univ-lyon1.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reviews the various models that have been used to describe the relationships between gene trees and species trees. Molecular phylogeny has focused mainly on improving models for the reconstruction of gene trees based on sequence alignments. Yet, most phylogeneticists seek to reveal the history of species. Although the histories of genes and species are tightly linked, they are seldom identical, because genes duplicate, are lost or horizontally transferred, and because alleles can coexist in populations for periods that may span several speciation events. Building models describing the relationship between gene and species trees can thus improve the reconstruction of gene trees when a species tree is known, and vice versa. Several approaches have been proposed to solve the problem in one direction or the other, but in general neither gene trees nor species trees are known. Only a few studies have attempted to jointly infer gene trees and species trees. These models account for gene duplication and loss, transfer or incomplete lineage sorting. Some of them consider several types of events together, but none exists currently that considers the full repertoire of processes that generate gene trees along the species tree. Simulations as well as empirical studies on genomic data show that combining gene tree-species tree models with models of sequence evolution improves gene tree reconstruction. In turn, these better gene trees provide a more reliable basis for studying genome evolution or reconstructing ancestral chromosomes and ancestral gene sequences. We predict that gene tree-species tree methods that can deal with genomic data sets will be instrumental to advancing our understanding of genomic evolution.

Indexed as

Models, BiologicalPhylogenyComputer SimulationGenetic SpeciationGenomeMutationAlgorithmamalgamationBayesian inferencebirth–death modelcoalescentdynamic programminggene duplicationgene lossgene transfergene treehybridizationmaximum likelihoodphylogeneticsspecies tree

Identifiers

PMID25070970
PMCPMC4265139

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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.