Evidence map›Paper›PMID 37463417›Full record

ArticleGenome biology and evolution2023

Parameter Estimation and Species Tree Rooting Using ALE and GeneRax.

Tom A Williams, Adrián A Davín, Benoit Morel, Lénárd L Szánthó, Anja Spang, Alexandros Stamatakis, Philip Hugenholtz, Gergely J Szöllősi

Abstract read
In one paragraph

Article in Genome biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Evolution, Mechanisms, and Therapeutic Implications of Mobile Tetracycline Destructases.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
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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

8 authors.

Tom A WilliamsSchool of Biological Sciences, University of Bristol, 24 Tyndall Ave, Bristol BS8 1TH, United Kingdom.ORCID 0000-0003-1072-0223
Adrián A DavínDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, Tokyo, Japan.ORCID 0000-0003-4945-4938
Benoit MorelComputational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany.ORCID 0000-0001-6286-4419
Lénárd L SzánthóDepartment of Biological Physics, Eötvös Loránd University, Budapest, Hungary.
Anja SpangNIOZ, Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research, AB Den Burg, The Netherlands.
Alexandros StamatakisComputational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany.ORCID 0000-0003-0353-0691
Philip HugenholtzThe University of Queensland, School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, St Lucia, Queensland, 4072, Australia.
Gergely J SzöllősiDepartment of Biological Physics, Eötvös Loránd University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ALE and GeneRax are tools for probabilistic gene tree-species tree reconciliation. Based on a common underlying statistical model of how gene trees evolve along species trees, these methods rely on gene vs. species tree discordance to infer gene duplication, transfer, and loss events, map gene family origins, and root species trees. Published analyses have used these methods to root species trees of Archaea, Bacteria, and several eukaryotic groups, as well as to infer ancestral gene repertoires. However, it was recently suggested that reconciliation-based estimates of duplication and transfer events using the ALE/GeneRax model were unreliable, with potential implications for species tree rooting. Here, we assess these criticisms and find that the methods are accurate when applied to simulated data and in generally good agreement with alternative methodological approaches on empirical data. In particular, ALE recovers variation in gene duplication and transfer frequencies across lineages that is consistent with the known biology of studied clades. In plants and opisthokonts, ALE recovers the consensus species tree root; in Bacteria-where there is less certainty about the root position-ALE agrees with alternative approaches on the most likely root region. Overall, ALE and related approaches are promising tools for studying genome evolution.

Indexed as

AlgorithmsEvolution, MolecularBacteriaEukaryotaGene DuplicationModels, GeneticPhylogenycomparative genomicsgene tree–species tree reconciliationmicrobial evolutionphylogenetics

Identifiers

PMID37463417
PMCPMC10373948

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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.