Evidence map›Paper›PMID 19952117›Full record

ArticleRNA (New York, N.Y.)2010

Revisiting the operational RNA code for amino acids: Ensemble attributes and their implications.

Shaul Shaul, Dror Berel, Yoav Benjamini, Dan Graur

Abstract readEvaluation Study
In one paragraph

Article in RNA (New York, N.Y.), 2010. 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. The Peptidyl Transferase Center: a Window to the Past.Microbiology and molecular biology reviews : MMBR · 2021
    Article
  2. Article
  3. Article
  4. Review
  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

4 authors.

Shaul ShaulDepartment of Zoology, Tel Aviv University, Tel Aviv 69978, Israel.
Dror Berel
Yoav Benjamini
Dan Graur

Funding

Error Correction in Multiple Sequence AlignmentsR01LM010009 · NLM · UNIVERSITY OF HOUSTON · PI GRAUR, DAN · 2009 to 2010
$1.1M
NLM NIH HHS LM010009-01NLM NIH HHS R01 LM010009
6 · The paper itself

Abstract

It has been suggested that tRNA acceptor stems specify an operational RNA code for amino acids. In the last 20 years several attributes of the putative code have been elucidated for a small number of model organisms. To gain insight about the ensemble attributes of the code, we analyzed 4925 tRNA sequences from 102 bacterial and 21 archaeal species. Here, we used a classification and regression tree (CART) methodology, and we found that the degrees of degeneracy or specificity of the RNA codes in both Archaea and Bacteria differ from those of the genetic code. We found instances of taxon-specific alternative codes, i.e., identical acceptor stem determinants encrypting different amino acids in different species, as well as instances of ambiguity, i.e., identical acceptor stem determinants encrypting two or more amino acids in the same species. When partitioning the data by class of synthetase, the degree of code ambiguity was significantly reduced. In cryptographic terms, a plausible interpretation of this result is that the class distinction in synthetases is an essential part of the decryption rules for resolving the subset of RNA code ambiguities enciphered by identical acceptor stem determinants of tRNAs acylated by enzymes belonging to the two classes. In evolutionary terms, our findings lend support to the notion that in the pre-DNA world, interactions between tRNA acceptor stems and synthetases formed the basis for the distinction between the two classes; hence, ambiguities in the ancient RNA code were pivotal for the fixation of these enzymes in the genomes of ancestral prokaryotes.

Indexed as

AlgorithmsAmino AcidsAmino Acid SequenceArchaeaBacteriaCodonComputational BiologyEvolution, MolecularGenetic CodePhylogenyRNA, TransferAmino AcidsCodonRNA, Transfer

Identifiers

PMID19952117
PMCPMC2802024

What OpenQuestion holds

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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.