Evidence map›Paper›PMID 33504782›Full record

ArticleNature communications2021

Uncovering de novo gene birth in yeast using deep transcriptomics.

William R Blevins, Jorge Ruiz-Orera, Xavier Messeguer, Bernat Blasco-Moreno, José Luis Villanueva-Cañas, Lorena Espinar, Juana Díez, Lucas B Carey, M Mar Albà

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. DetectNAR genomics and bioinformatics · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. De Novo Genes: Current Status and Future Goals.Genome biology and evolution · 2025
    Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Orphan genes are not a distinct biological entity.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  20. Article

3 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

9 authors.

William R BlevinsEvolutionary Genomics Group, Research Programme on Biomedical Informatics, Hospital del Mar Research Institute (IMIM) and Universitat Pompeu Fabra (UPF), Barcelona, Spain.ORCID http://orcid.org/0000-0002-5222-2321
Jorge Ruiz-OreraEvolutionary Genomics Group, Research Programme on Biomedical Informatics, Hospital del Mar Research Institute (IMIM) and Universitat Pompeu Fabra (UPF), Barcelona, Spain.ORCID http://orcid.org/0000-0002-8317-0034
Xavier MesseguerComputer Sciences Department, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain.
Bernat Blasco-MorenoMolecular Virology group, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain.ORCID http://orcid.org/0000-0002-6373-6539
José Luis Villanueva-CañasEvolutionary Genomics Group, Research Programme on Biomedical Informatics, Hospital del Mar Research Institute (IMIM) and Universitat Pompeu Fabra (UPF), Barcelona, Spain.ORCID http://orcid.org/0000-0001-7445-1267
Lorena EspinarSingle Cell Behavior Group, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Juana DíezMolecular Virology group, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain.ORCID http://orcid.org/0000-0002-9013-0751
Lucas B CareySingle Cell Behavior Group, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain.ORCID http://orcid.org/0000-0002-7245-6379
M Mar AlbàEvolutionary Genomics Group, Research Programme on Biomedical Informatics, Hospital del Mar Research Institute (IMIM) and Universitat Pompeu Fabra (UPF), Barcelona, Spain. malba@imim.es.ORCID http://orcid.org/0000-0002-7963-7375

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De novo gene origination has been recently established as an important mechanism for the formation of new genes. In organisms with a large genome, intergenic and intronic regions provide plenty of raw material for new transcriptional events to occur, but little is know about how de novo transcripts originate in more densely-packed genomes. Here, we identify 213 de novo originated transcripts in Saccharomyces cerevisiae using deep transcriptomics and genomic synteny information from multiple yeast species grown in two different conditions. We find that about half of the de novo transcripts are expressed from regions which already harbor other genes in the opposite orientation; these transcripts show similar expression changes in response to stress as their overlapping counterparts, and some appear to translate small proteins. Thus, a large fraction of de novo genes in yeast are likely to co-evolve with already existing genes.

Indexed as

Genes, FungalConserved SequenceGene Expression Regulation, FungalGene Regulatory NetworksOpen Reading FramesRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptomeRNA, MessengerSaccharomyces cerevisiae Proteins

Identifiers

PMID33504782
PMCPMC7841160

What OpenQuestion holds

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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.