Evidence map›Paper›PMID 29220506›Full record

ArticleMolecular biology and evolution2018

A Molecular Portrait of De Novo Genes in Yeasts.

Nikolaos Vakirlis, Alex S Hebert, Dana A Opulente, Guillaume Achaz, Chris Todd Hittinger, Gilles Fischer, Joshua J Coon, Ingrid Lafontaine

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. DetectNAR genomics and bioinformatics · 2026
    Article
  2. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
    Review
  3. Review
  4. Article
  5. Impact of GC content on de novo gene birth.Nature communications · 2026
    Article
  6. Article
  7. Article
  8. De Novo Genes: Current Status and Future Goals.Genome biology and evolution · 2025
    Article
  9. Review
  10. Chasing the Ghost Proteome in the Dark Matter.Molecular & cellular proteomics : MCP · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Orphan genes are not a distinct biological entity.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  19. Article
  20. Horticulture research · 2024
    Article

23 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

8 authors.

Nikolaos VakirlisSorbonne Universités, UPMC Univ Paris 06, CNRS, Institut de Biologie Paris Seine, Biologie Computationnelle et Quantitative UMR7238, 75005 Paris, France.
Alex S HebertGenome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI.
Dana A OpulenteLaboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI.
Guillaume AchazAtelier de BioInformatique, ISyEB UMR7205 Muséum National d'Histoire Naturelle, Paris, France.
Chris Todd HittingerDOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI.
Gilles FischerSorbonne Universités, UPMC Univ Paris 06, CNRS, Institut de Biologie Paris Seine, Biologie Computationnelle et Quantitative UMR7238, 75005 Paris, France.
Joshua J CoonGenome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI.
Ingrid LafontaineAtelier de BioInformatique, ISyEB UMR7205 Muséum National d'Histoire Naturelle, Paris, France.

Funding

TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
NIGMS NIH HHS P41 GM108538
6 · The paper itself

Abstract

New genes, with novel protein functions, can evolve "from scratch" out of intergenic sequences. These de novo genes can integrate the cell's genetic network and drive important phenotypic innovations. Therefore, identifying de novo genes and understanding how the transition from noncoding to coding occurs are key problems in evolutionary biology. However, identifying de novo genes is a difficult task, hampered by the presence of remote homologs, fast evolving sequences and erroneously annotated protein coding genes. To overcome these limitations, we developed a procedure that handles the usual pitfalls in de novo gene identification and predicted the emergence of 703 de novo gene candidates in 15 yeast species from 2 genera whose phylogeny spans at least 100 million years of evolution. We validated 85 candidates by proteomic data, providing new translation evidence for 25 of them through mass spectrometry experiments. We also unambiguously identified the mutations that enabled the transition from noncoding to coding for 30 Saccharomyces de novo genes. We established that de novo gene origination is a widespread phenomenon in yeasts, only a few being ultimately maintained by selection. We also found that de novo genes preferentially emerge next to divergent promoters in GC-rich intergenic regions where the probability of finding a fortuitous and transcribed ORF is the highest. Finally, we found a more than 3-fold enrichment of de novo genes at recombination hot spots, which are GC-rich and nucleosome-free regions, suggesting that meiotic recombination contributes to de novo gene emergence in yeasts.

Indexed as

Evolution, MolecularAge FactorsBase SequenceConserved SequenceFungal ProteinsPromoter Regions, GeneticRecombination, GeneticSaccharomycesSelection, GeneticFungal Proteins

Identifiers

PMID29220506
PMCPMC5850487

What OpenQuestion holds

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Registered trials

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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.