Evidence map›Paper›PMID 34450658›Full record

ArticleSystematic biology2022

DISCO: Species Tree Inference using Multicopy Gene Family Tree Decomposition.

James Willson, Mrinmoy Saha Roddur, Baqiao Liu, Paul Zaharias, Tandy Warnow

Erratum issuedAbstract read
In one paragraph

Article in Systematic biology, 2022. 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 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Insect Phylogenomics: From Experiment Planning to Post-phylogenetic Analyses.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Incongruence in the phylogenomics era.Nature reviews. Genetics · 2023
    Review
  14. Article
  15. Phylogenomic branch length estimation using quartets.Bioinformatics (Oxford, England) · 2023
    Article
  16. Article
  17. Article
  18. Recent progress on methods for estimating and updating large phylogenies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

James WillsonDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-8496-3597
Mrinmoy Saha RoddurDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-9979-2524
Baqiao LiuDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-4210-8269
Paul ZahariasDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0003-3550-2636
Tandy WarnowDepartment of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0001-7717-3514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species tree inference from gene family trees is a significant problem in computational biology. However, gene tree heterogeneity, which can be caused by several factors including gene duplication and loss, makes the estimation of species trees very challenging. While there have been several species tree estimation methods introduced in recent years to specifically address gene tree heterogeneity due to gene duplication and loss (such as DupTree, FastMulRFS, ASTRAL-Pro, and SpeciesRax), many incur high cost in terms of both running time and memory. We introduce a new approach, DISCO, that decomposes the multi-copy gene family trees into many single copy trees, which allows for methods previously designed for species tree inference in a single copy gene tree context to be used. We prove that using DISCO with ASTRAL (i.e., ASTRAL-DISCO) is statistically consistent under the GDL model, provided that ASTRAL-Pro correctly roots and tags each gene family tree. We evaluate DISCO paired with different methods for estimating species trees from single copy genes (e.g., ASTRAL, ASTRID, and IQ-TREE) under a wide range of model conditions, and establish that high accuracy can be obtained even when ASTRAL-Pro is not able to correctly roots and tags the gene family trees. We also compare results using MI, an alternative decomposition strategy from Yang Y. and Smith S.A. (2014), and find that DISCO provides better accuracy, most likely as a result of covering more of the gene family tree leafset in the output decomposition. [Concatenation analysis; gene duplication and loss; species tree inference; summary method.].

Indexed as

AlgorithmsGene DuplicationComputational BiologyModels, GeneticPedigreePhylogeny

Identifiers

PMID34450658
PMCPMC9016570

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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.