Evidence map›Paper›PMID 17468501›Full record

ArticleNucleic acids research2007

Evolutionary rates vary among rRNA structural elements.

S Smit, J Widmann, R Knight

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

38 citing papers in PubMed, 111 citations in OpenAlex.

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  12. Template switching in DNA replication can create and maintain RNA hairpins.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  13. The complete mitochondrial genome sequences ofMitochondrial DNA. Part B, Resources · 2020
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  14. Article
  15. Translation: The Universal Structural Core of Life.Molecular biology and evolution · 2018
    Article
  16. Article
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  18. Pseudoknots in RNA folding landscapes.Bioinformatics (Oxford, England) · 2016
    Article
  19. 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

3 authors at 1 institution in 1 country.

S SmitDepartment of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309, USA.
J Widmann
R Knight
University of Colorado Boulder · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding patterns of rRNA evolution is critical for a number of fields, including structure prediction and phylogeny. The standard model of RNA evolution is that compensatory mutations in stems make up the bulk of the changes between homologous sequences, while unpaired regions are relatively homogeneous. We show that considerable heterogeneity exists in the relative rates of evolution of different secondary structure categories (stems, loops, bulges, etc.) within the rRNA, and that in eukaryotes, loops actually evolve much faster than stems. Both rates of evolution and abundance of different structural categories vary with distance from functionally important parts of the ribosome such as the tRNA path and the peptidyl transferase center. For example, fast-evolving residues are mainly found at the surface; stems are enriched at the subunit interface, and junctions near the peptidyl transferase center. However, different secondary structure categories evolve at different rates even when these effects are accounted for. The results demonstrate that relative rates and patterns of evolution are lineage specific, suggesting that phylogenetically and structurally specific models will improve evolutionary and structural predictions.

Indexed as

Evolution, MolecularModels, MolecularMutationNucleic Acid ConformationRibosomesRNA, ArchaealRNA, BacterialRNA, FungalRNA, RibosomalRNA, ArchaealRNA, BacterialRNA, FungalRNA, Ribosomal

Identifiers

PMID17468501
PMCPMC1904297
OpenAlexW2119163720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.