Evidence map›Paper›PMID 26836309›Full record

ArticleeLife2016

Fast turnover of genome transcription across evolutionary time exposes entire non-coding DNA to de novo gene emergence.

Rafik Neme, Diethard Tautz

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. DetectNAR genomics and bioinformatics · 2026
    Article
  2. Review
  3. De Novo Genes: Current Status and Future Goals.Genome biology and evolution · 2025
    Article
  4. Expression of De Novo Open Reading Frames in Natural Populations of Drosophila melanogaster.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025
    Article
  5. Emergence of antiphage functions from random sequence libraries reveals mechanisms of gene birth.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Reenacting a mouse genetic evolutionary arms race in yeast reveals that SLXL1/SLX compete with SLY1/2 for binding to Spindlins.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. De Novo Genes.Annual review of genetics · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

12 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.

Rafik NemeMax-Planck Institute for Evolutionary Biology, Plön, Germany.ORCID http://orcid.org/0000-0001-8462-5291
Diethard TautzMax-Planck Institute for Evolutionary Biology, Plön, Germany.ORCID http://orcid.org/0000-0002-0460-5344

Funding

European Research Council 322564
6 · The paper itself

Abstract

Deep sequencing analyses have shown that a large fraction of genomes is transcribed, but the significance of this transcription is much debated. Here, we characterize the phylogenetic turnover of poly-adenylated transcripts in a comprehensive sampling of taxa of the mouse (genus Mus), spanning a phylogenetic distance of 10 Myr. Using deep RNA sequencing we find that at a given sequencing depth transcriptome coverage becomes saturated within a taxon, but keeps extending when compared between taxa, even at this very shallow phylogenetic level. Our data show a high turnover of transcriptional states between taxa and that no major transcript-free islands exist across evolutionary time. This suggests that the entire genome can be transcribed into poly-adenylated RNA when viewed at an evolutionary time scale. We conclude that any part of the non-coding genome can potentially become subject to evolutionary functionalization via de novo gene evolution within relatively short evolutionary time spans.

Indexed as

Evolution, MolecularGenomeTranscription, GeneticAnimalsGene Expression ProfilingHigh-Throughput Nucleotide SequencingMicede novo genesevolutionevolutionary biologygenomicsmousetranscriptome

Identifiers

PMID26836309
PMCPMC4829534

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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.