Evidence map›Paper›PMID 38742287›Full record

ArticleGenome biology and evolution2024

Experimental Evaluation of a Direct Fitness Effect of the De Novo Evolved Mouse Gene Pldi.

Miriam Linnenbrink, Gwenna Breton, Pallavi Misra, Christine Pfeifle, Julien Y Dutheil, Diethard Tautz

Abstract read
In one paragraph

Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. De Novo Genes: Current Status and Future Goals.Genome biology and evolution · 2025
    Article
  3. Article
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

6 authors.

Miriam LinnenbrinkDepartment of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, 24306 Plön, Germany.ORCID 0000-0003-0163-3056
Gwenna BretonDepartment of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, 24306 Plön, Germany.ORCID 0000-0002-4100-9963
Pallavi MisraDepartment of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, 24306 Plön, Germany.ORCID 0000-0001-8547-793X
Christine PfeifleDepartment of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, 24306 Plön, Germany.ORCID 0009-0003-4762-0602
Julien Y DutheilDepartment of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, 24306 Plön, Germany.ORCID 0000-0001-7753-4121
Diethard TautzDepartment of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, 24306 Plön, Germany.ORCID 0000-0002-0460-5344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De novo evolved genes emerge from random parts of noncoding sequences and have, therefore, no homologs from which a function could be inferred. While expression analysis and knockout experiments can provide insights into the function, they do not directly test whether the gene is beneficial for its carrier. Here, we have used a seminatural environment experiment to test the fitness of the previously identified de novo evolved mouse gene Pldi, which has been implicated to have a role in sperm differentiation. We used a knockout mouse strain for this gene and competed it against its parental wildtype strain for several generations of free reproduction. We found that the knockout (ko) allele frequency decreased consistently across three replicates of the experiment. Using an approximate Bayesian computation framework that simulated the data under a demographic scenario mimicking the experiment's demography, we could estimate a selection coefficient ranging between 0.21 and 0.61 for the wildtype allele compared to the ko allele in males, under various models. This implies a relatively strong selective advantage, which would fix the new gene in less than hundred generations after its emergence.

Indexed as

Genetic FitnessMice, KnockoutAllelesAnimalsBayes TheoremEvolution, MolecularFemaleGene FrequencyMaleMiceModels, GeneticSelection, GeneticBayesian computationde novo evolved genefitnessPldiseminatural environment

Identifiers

PMID38742287
PMCPMC11091481

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.