Evidence map›Paper›PMID 18853577›Full record

ReviewScience progress2008

Transfer RNA and the origins of diversified life.

Feng-Jie Sun, Gustavo Caetano-Anollés

Open access · greenAbstract readReview
In one paragraph

Review in Science progress, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Extensive tRNA gene changes in synthetic Brassica napus.Journal of molecular evolution · 2014
    Article
  9. Article
  10. Article
  11. Article
  12. Regulation of redox signaling by selenoproteins.Biological trace element research · 2010
    Article
  13. 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

2 authors at 1 institution in 1 country.

Feng-Jie SunDepartment of Crop Sciences, University of Illinois, Urbana-Champaign, IL 61801, USA. fsun@uiuc.edu
Gustavo Caetano-Anollés
University of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of the transfer RNA (tRNA) molecule is controversial but embeds the history of protein biosynthesis, the genetic code, and the origins of diversified life. A new phylogenetic method based on RNA structure that we developed provides new lines of evidence to support the genome tag hypothesis and confirms that the 'top half' of tRNA is more ancient than the 'bottom half'. Timelines of amino acid charging function generated from constraint analyses showed that selenocysteine, tyrosine, serine, and leucine specificities were ancient, while those related to asparagine, methionine, and arginine were more recent. The timelines also uncovered an early role of the second and then first codon bases, identified codons for alanine and proline as the most ancient, and revealed important evolutionary take-overs related to the loss of the long variable arm of tRNA. Furthermore, organismal timelines showed Archaea was the oldest superkingdom, followed by viruses, and superkingdoms Eukarya and Bacteria in that order supporting conclusions from recent phylogenomic studies of protein architecture. Strikingly, results showed that the origin of viruses was not only ancient but was linked to Archaea, supporting the notion that the archaeal lineage is the most ancient on earth and its origin predated diversification of tRNA function and specificity.

Indexed as

BiodiversityEvolution, MolecularRNA, TransferArchaeaBacteriaVirusesRNA, Transfer

Identifiers

PMID18853577
PMCPMC10361156
OpenAlexW1984647128

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.