Evidence map›Paper›PMID 35959631›Full record

ReviewYeast (Chichester, England)2022

Origins, evolution, and physiological implications of de novo genes in yeast.

Saurin B Parikh, Carly Houghton, S Branden Van Oss, Aaron Wacholder, Anne-Ruxandra Carvunis

Open access · hybridAbstract readReview
In one paragraph

Review in Yeast (Chichester, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. DetectNAR genomics and bioinformatics · 2026
    Article
  2. Something from nothing: The birth of new phage defense genes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. YeastbioRxiv : the preprint server for biology · 2025
    Article
  5. Gene and Genome Duplication in Spiders.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025
    Review
  6. Article
  7. Article
  8. Cellular function of the GndA microprotein during heat shock.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Horticulture research · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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

5 authors at 1 institution in 1 country.

Saurin B ParikhDepartment of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and Evolution, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-8167-5768
Carly HoughtonDepartment of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and Evolution, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-0158-3044
S Branden Van OssDepartment of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and Evolution, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-2933-7083
Aaron WacholderDepartment of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and Evolution, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-8739-0029
Anne-Ruxandra CarvunisDepartment of Computational and Systems Biology, School of Medicine, Pittsburgh Center for Evolutionary Biology and Evolution, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-6474-6413
University of Pittsburgh · US

Funding

Integrated Interdisciplinary, inter-university PhD Program Computational Biology (T32)T32EB009403 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, BAR-JOSEPH, ZIV · 2009 to 2023
$4.4M
Toward a Deeper Understanding of Allostery and Allotargeting by Computational ApproachesR01GM139297 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ivet Bahar · 2021 to 2026
$2.8M
NIBIB NIH HHS T32 EB009403NIGMS NIH HHS R01 GM139297
6 · The paper itself

Abstract

De novo gene birth is the process by which new genes emerge in sequences that were previously noncoding. Over the past decade, researchers have taken advantage of the power of yeast as a model and a tool to study the evolutionary mechanisms and physiological implications of de novo gene birth. We summarize the mechanisms that have been proposed to explicate how noncoding sequences can become protein-coding genes, highlighting the discovery of pervasive translation of the yeast transcriptome and its presumed impact on evolutionary innovation. We summarize current best practices for the identification and characterization of de novo genes. Crucially, we explain that the field is still in its nascency, with the physiological roles of most young yeast de novo genes identified thus far still utterly unknown. We hope this review inspires researchers to investigate the true contribution of de novo gene birth to cellular physiology and phenotypic diversity across yeast strains and species.

Indexed as

Evolution, MolecularSaccharomyces cerevisiaede novo genesevolutionary biologygenome biologysmORFssystems biology

Identifiers

PMID35959631
PMCPMC9544372
OpenAlexW4293013334

What OpenQuestion holds

Textmetadata
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.