Evidence map›Paper›PMID 22809431›Full record

ArticleGenome biology2012

RNA processing in the minimal organism Nanoarchaeum equitans.

Lennart Randau

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 72 citations in OpenAlex.

  1. Archaeal RNA processing and regulation: expanding the functional landscape.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  2. Review
  3. Circular RNAs in Archaea.Advances in experimental medicine and biology · 2025
    Review
  4. Article
  5. Article
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  8. Review
  9. Molecular mechanisms of CRISPR-Cas spacer acquisition.Nature reviews. Microbiology · 2019
    Review
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  12. Review
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  17. Article
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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

1 author at 1 institution in 1 country.

Lennart Randau
Max Planck Institute for Terrestrial Microbiology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe minimal genome of the tiny, hyperthermophilic archaeon Nanoarchaeum equitans contains several fragmented genes and revealed unusual RNA processing pathways. These include the maturation of tRNA molecules via the trans-splicing of tRNA halves and genomic rearrangements to compensate for the absence of RNase P.

resultsHere, the RNA processing events in the N. equitans cell are analyzed using RNA-Seq deep sequencing methodology. All tRNA half precursor and tRNA termini were determined and support the tRNA trans-splicing model. The processing of CRISPR RNAs from two CRISPR clusters was verified. Twenty-seven C/D box small RNAs (sRNAs) and a H/ACA box sRNA were identified. The C/D box sRNAs were found to flank split genes, to form dicistronic tRNA-sRNA precursors and to be encoded within the tRNAMet intron.

conclusionsThe presented data provide an overview of the production and usage of small RNAs in a cell that has to survive with a highly reduced genome. N. equitans lost many essential metabolic pathways but maintains highly active CRISPR/Cas and rRNA modification systems that appear to play an important role in genome fragmentation.

Indexed as

Genome, ArchaealRNA Processing, Post-TranscriptionalArchaeal ProteinsCRISPR-Cas SystemsEvolution, MolecularHigh-Throughput Nucleotide SequencingModels, MolecularMolecular Sequence DataNanoarchaeotaRNA, ArchaealRNA, TransferSequence Analysis, RNATrans-SplicingArchaeal ProteinsRNA, ArchaealRNA, Transfer

Identifiers

PMID22809431
PMCPMC3491384
OpenAlexW2146649485

What OpenQuestion holds

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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.