Evidence map›Paper›PMID 37247390›Full record

ArticleGenome biology and evolution2023

Phylogenomic Testing of Root Hypotheses.

Fernando D K Tria, Giddy Landan, Devani Romero Picazo, Tal Dagan

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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 1 institution in 1 country.

Fernando D K TriaInstitute of General Microbiology, Kiel University, Kiel, Germany.ORCID 0000-0003-4291-2115
Giddy LandanInstitute of General Microbiology, Kiel University, Kiel, Germany.ORCID 0000-0002-2502-8750
Devani Romero PicazoInstitute of General Microbiology, Kiel University, Kiel, Germany.ORCID 0000-0002-0174-9115
Tal DaganInstitute of General Microbiology, Kiel University, Kiel, Germany.ORCID 0000-0002-9042-192X
Christian-Albrechts-Universität zu Kiel · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of the last common ancestor (LCA) of a group of species plays a vital role in evolutionary theory. Traditionally, an LCA is inferred by the rooting of a fully resolved species tree. From a theoretical perspective, however, inference of the LCA amounts to the reconstruction of just one branch-the root branch-of the true species tree and should therefore be a much easier task than the full resolution of the species tree. Discarding the reliance on a hypothesized species tree and its rooting leads us to reevaluate what phylogenetic signal is directly relevant to LCA inference and to recast the task as that of sampling the total evidence from all gene families at the genomic scope. Here, we reformulate LCA and root inference in the framework of statistical hypothesis testing and outline an analytical procedure to formally test competing a priori LCA hypotheses and to infer confidence sets for the earliest speciation events in the history of a group of species. Applying our methods to two demonstrative data sets, we show that our inference of the opisthokonta LCA is well in agreement with the common knowledge. Inference of the proteobacteria LCA shows that it is most closely related to modern Epsilonproteobacteria, raising the possibility that it may have been characterized by a chemolithoautotrophic and anaerobic life style. Our inference is based on data comprising between 43% (opisthokonta) and 86% (proteobacteria) of all gene families. Approaching LCA inference within a statistical framework renders the phylogenomic inference powerful and robust.

Indexed as

Biological EvolutionGenomicsEukaryotaGenomePhylogenyProteobacterialast common ancestor (LCA)phylogeneticsproteobacteriarootingspecies tree

Identifiers

PMID37247390
PMCPMC10262964
OpenAlexW4378716699

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.