Evidence map›Paper›PMID 22722833›Full record

ArticleNature2012

Proto-genes and de novo gene birth.

Anne-Ruxandra Carvunis, Thomas Rolland, Ilan Wapinski, Michael A Calderwood, Muhammed A Yildirim, Nicolas Simonis, Benoit Charloteaux, César A Hidalgo, Justin Barbette, Balaji Santhanam and 6 more

Open access · greenAbstract read
In one paragraph

Article in Nature, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 407 papers.

0numbers the graph read from it
0cells of the map it votes in
407citing papers in PubMed
18.3field-weighted citation impact, top 1% 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

407 citing papers in PubMed, 694 citations in OpenAlex.

  1. DetectNAR genomics and bioinformatics · 2026
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  4. The diverse functions of viral microproteins.bioRxiv : the preprint server for biology · 2026
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  5. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
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  8. Evolutionary innovation through fusion of sequences from across the tree of life.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Imported, not invented, genes prevail amongProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Article
  17. Article
  18. Impact of GC content on de novo gene birth.Nature communications · 2026
    Article
  19. Article
  20. Article

347 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 3 countries.

Anne-Ruxandra CarvunisCenter for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.
Thomas Rolland
Ilan Wapinski
Michael A Calderwood
Muhammed A Yildirim
Nicolas Simonis
Benoit Charloteaux
César A Hidalgo
Justin Barbette
Balaji Santhanam
Gloria A Brar
Jonathan S Weissman
Aviv Regev
Nicolas Thierry-Mieg
Michael E Cusick
Marc Vidal
Dana-Farber Cancer Institute · USHarvard University · USMassachusetts Institute of Technology · USCenter for Systems Biology · USCentre National de la Recherche Scientifique · FRHoward Hughes Medical Institute · USQB3 · US

Funding

A S. cerevisiae high-coverage high-quality protein-protein binary interactome mapR01HG006061 · NHGRI · DANA-FARBER CANCER INST · PI CALDERWOOD, MICHAEL A, HILL, DAVID E. · 2011 to 2014
$3.1M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG006061NHGRI NIH HHS R01-HG006061
6 · The paper itself

Abstract

Novel protein-coding genes can arise either through re-organization of pre-existing genes or de novo. Processes involving re-organization of pre-existing genes, notably after gene duplication, have been extensively described. In contrast, de novo gene birth remains poorly understood, mainly because translation of sequences devoid of genes, or 'non-genic' sequences, is expected to produce insignificant polypeptides rather than proteins with specific biological functions. Here we formalize an evolutionary model according to which functional genes evolve de novo through transitory proto-genes generated by widespread translational activity in non-genic sequences. Testing this model at the genome scale in Saccharomyces cerevisiae, we detect translation of hundreds of short species-specific open reading frames (ORFs) located in non-genic sequences. These translation events seem to provide adaptive potential, as suggested by their differential regulation upon stress and by signatures of retention by natural selection. In line with our model, we establish that S. cerevisiae ORFs can be placed within an evolutionary continuum ranging from non-genic sequences to genes. We identify ~1,900 candidate proto-genes among S. cerevisiae ORFs and find that de novo gene birth from such a reservoir may be more prevalent than sporadic gene duplication. Our work illustrates that evolution exploits seemingly dispensable sequences to generate adaptive functional innovation.

Indexed as

Evolution, MolecularBase SequenceConserved SequenceGenes, FungalGenetic VariationMolecular Sequence DataOpen Reading FramesPhylogenyProtein BiosynthesisSaccharomycesSaccharomyces cerevisiaeSequence Alignment

Identifiers

PMID22722833
PMCPMC3401362
OpenAlexW2127673162

What OpenQuestion holds

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LicenceTDM
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.