Evidence map›Paper›PMID 33892498›Full record

ArticleGenome biology and evolution2021

The Asgard Archaeal-Unique Contribution to Protein Families of the Eukaryotic Common Ancestor Was 0.3.

Michael Knopp, Simon Stockhorst, Mark van der Giezen, Sriram G Garg, Sven B Gould

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors at 2 institutions in 2 countries.

Michael KnoppInstitute for Molecular Evolution, Heinrich-Heine-University Düsseldorf, Germany.
Simon StockhorstInstitute for Molecular Evolution, Heinrich-Heine-University Düsseldorf, Germany.
Mark van der GiezenCentre for Organelle Research, University of Stavanger, Norway.
Sriram G GargInstitute for Molecular Evolution, Heinrich-Heine-University Düsseldorf, Germany.ORCID 0000-0003-4160-5228
Sven B GouldInstitute for Molecular Evolution, Heinrich-Heine-University Düsseldorf, Germany.
Heinrich Heine University Düsseldorf · DEUniversity of Stavanger · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of the asgard archaea has fueled speculations regarding the nature of the archaeal host in eukaryogenesis and its level of complexity prior to endosymbiosis. Here, we analyzed the coding capacity of 150 eukaryotes, 1,000 bacteria, and 226 archaea, including the only cultured member of the asgard archaea. Clustering methods that consistently recover endosymbiotic contributions to eukaryotic genomes recover an asgard archaeal-unique contribution of a mere 0.3% to protein families present in the last eukaryotic common ancestor, while simultaneously suggesting that this group's diversity rivals that of all other archaea combined. The number of homologs shared exclusively between asgard archaea and eukaryotes is only 27 on average. This tiny asgard archaeal-unique contribution to the root of eukaryotic protein families questions claims that archaea evolved complexity prior to eukaryogenesis. Genomic and cellular complexity remains a eukaryote-specific feature and is best understood as the archaeal host's solution to housing an endosymbiont.

Indexed as

Multigene FamilyArchaeaBacteriaEukaryotaasgard archaeacompartmentalizationeukaryogenesiseukaryote origin

Identifiers

PMID33892498
PMCPMC8220308
OpenAlexW3126591535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.