Evidence map›Paper›PMID 32499660›Full record

ArticleHeredity2020

Evolution of novel genes in three-spined stickleback populations.

Jonathan F Schmitz, Frédéric J J Chain, Erich Bornberg-Bauer

Abstract read
In one paragraph

Article in Heredity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. DetectNAR genomics and bioinformatics · 2026
    Article
  2. Review
  3. Impact of GC content on de novo gene birth.Nature communications · 2026
    Article
  4. Article
  5. 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
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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

3 authors.

Jonathan F SchmitzInstitute for Evolution and Biodiversity, University of Münster, Münster, Germany. jonathan.schmitz@uni-muenster.de.
Frédéric J J ChainDepartment of Biological Sciences, University of Massachusetts, Lowell, MA, USA.ORCID http://orcid.org/0000-0001-6169-7399
Erich Bornberg-BauerInstitute for Evolution and Biodiversity, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-1826-3576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotic genomes frequently acquire new protein-coding genes which may significantly impact an organism's fitness. Novel genes can be created, for example, by duplication of large genomic regions or de novo, from previously non-coding DNA. Either way, creation of a novel transcript is an essential early step during novel gene emergence. Most studies on the gain-and-loss dynamics of novel genes so far have compared genomes between species, constraining analyses to genes that have remained fixed over long time scales. However, the importance of novel genes for rapid adaptation among populations has recently been shown. Therefore, since little is known about the evolutionary dynamics of transcripts across natural populations, we here study transcriptomes from several tissues and nine geographically distinct populations of an ecological model species, the three-spined stickleback. Our findings suggest that novel genes typically start out as transcripts with low expression and high tissue specificity. Early expression regulation appears to be mediated by gene-body methylation. Although most new and narrowly expressed genes are rapidly lost, those that survive and subsequently spread through populations tend to gain broader and higher expression levels. The properties of the encoded proteins, such as disorder and aggregation propensity, hardly change. Correspondingly, young novel genes are not preferentially under positive selection but older novel genes more often overlap with F

Indexed as

Evolution, MolecularSmegmamorphaAnimalsGenetics, PopulationGenomeGenomicsMethylation

Identifiers

PMID32499660
PMCPMC7413265

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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.