Evidence map›Paper›PMID 36125740›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Archaea: A Goldmine for Molecular Biologists and Evolutionists.

Patrick Forterre

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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

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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Applying the Classic Test dN/dS to Detect Selection in Archaea.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. Article
  5. 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

1 author.

Patrick ForterreInstitut Pasteur, 25 rue du Docteur Roux, 75015, Paris, France. forterre@pasteur.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rebuttal of the prokaryote-eukaryote dichotomy and the elaboration of the three domains concept by Carl Woese and colleagues has been a breakthrough in biology. With the methodologies available at this time, they have shown that a single molecule, the 16S ribosomal RNA, could reveal the global organization of the living world. Later on, mining archaeal genomes led to major discoveries in archaeal molecular biology, providing a third model for comparative molecular biology. These analyses revealed the strong eukaryal flavor of the basic molecular fabric of Archaea and support rooting the universal tree between Bacteria and Arcarya (the clade grouping Archaea and Eukarya). However, in contradiction with this conclusion, it remains to understand why the archaeal and bacterial mobilomes are so similar and so different from the eukaryal one. These last years, the number of recognized archaea lineages (phyla?) has exploded. The archaeal nomenclature is now in turmoil and debates about the nature of the last universal common ancestor, the last archaeal common ancestor, and the topology of the tree of life are still going on. Interestingly, the expansion of the archaeal eukaryome, especially in the Asgard archaea, has provided new opportunities to study eukaryogenesis. In recent years, the application to Archaea of the new methodologies described in the various chapters of this book have opened exciting avenues to study the molecular biology and the physiology of these fascinating microorganisms.

Indexed as

ArchaeaBiological EvolutionBacteriaEukaryotaGenome, ArchaealRNA, Ribosomal, 16SRNA, Ribosomal, 16SArchaeaAsgardEukaryogenesisEukaryomeEukaryotesEukaryotic signature proteinsLUCAProkaryoteRibosomal RNATree of life

Identifiers

What OpenQuestion holds

Textmetadata
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.