Evidence map›Paper›PMID 21948395›Full record

ArticleGenome biology and evolution2011

Putatively noncoding transcripts show extensive association with ribosomes.

Benjamin A Wilson, Joanna Masel

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

77 citing papers in PubMed, 135 citations in OpenAlex.

  1. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
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  6. De Novo Genes.Annual review of genetics · 2024
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  14. Rescue ofeLife · 2023
    Article
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  19. Article
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17 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Benjamin A WilsonDepartment of Ecology and Evolutionary Biology, University of Arizona, USA.
Joanna Masel
Stanford University · USUniversity of Arizona · US

Funding

Towards a general theory of evolutionary capacitanceR01GM076041 · NIGMS · UNIVERSITY OF ARIZONA · PI MASEL, JOANNA · 2006 to 2009
$565k
Interdisciplinary Biomedical Research for UndergraduatesR25GM072733 · NIGMS · UNIVERSITY OF ARIZONA · PI BENDER, CAROL · 2005 to 2008
$362k
NIGMS NIH HHS R01 GM076041NIGMS NIH HHS R01GM076041NIGMS NIH HHS R25 GM072733NIGMS NIH HHS R25GM072733
6 · The paper itself

Abstract

There have been recent surprising reports that whole genes can evolve de novo from noncoding sequences. This would be extraordinary if the noncoding sequences were random with respect to amino acid identity. However, if the noncoding sequences were previously translated at low rates, with the most strongly deleterious cryptic polypeptides purged by selection, then de novo gene origination would be more plausible. Here we analyze Saccharomyces cerevisiae data on noncoding transcripts found in association with ribosomes. We find many such transcripts. Although their average ribosomal densities are lower than those of protein-coding genes, a significant proportion of noncoding transcripts nevertheless have ribosomal densities comparable to those of coding genes. Most show increased ribosomal association in response to starvation, as has been previously reported for other noncoding sequences such as untranslated regions and introns. In rich media, ribosomal association is correlated with start codons but is not usually consistent and contiguous beyond that, suggesting that translation occurs only at low rates. One transcript contains a 28-codon open reading frame, which we name RDT1, which shows evidence of translation, and may be a new protein-coding gene that originated de novo from noncoding sequence. But the bulk of the ribosomal association cannot be attributed to unannotated protein-coding genes. Our primary finding of extensive ribosome association shows that a necessary precondition for selective purging is met, making de novo gene evolution more plausible. Our analysis is also proof of principle of the utility of ribosomal profiling data for the purpose of gene annotation.

Indexed as

Evolution, MolecularAmino Acid SequenceGene Expression ProfilingGenes, FungalMolecular Sequence DataOpen Reading FramesRibosomesRNA, UntranslatedSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence AlignmentRNA, UntranslatedSaccharomyces cerevisiae Proteins

Identifiers

PMID21948395
PMCPMC3209793
OpenAlexW2144909274

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.