Evidence map›Paper›PMID 42389935›Full record

ArticleGenome biology and evolution2026

Regulatory Logic and Transposable Element Dynamics in Caenorhabditis Genomes.

Victoria K Eggers, Janna L Fierst

Abstract read
In one paragraph

Article in Genome biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Victoria K EggersBiomolecular Sciences Institute, Florida International University, 11200 8th Street, Miami, FL 33199, USA.ORCID 0009-0006-4325-8361
Janna L FierstBiomolecular Sciences Institute, Florida International University, 11200 8th Street, Miami, FL 33199, USA.ORCID 0000-0002-3639-8829

Funding

Structural variants and the locus of evolutionR35GM147245 · NIGMS · FLORIDA INTERNATIONAL UNIVERSITY · PI Janna Lynn Fierst · 2022 to 2026
$1.8M
NIGMS NIH HHS R35 GM147245NIGMS NIH HHS R35GM147245NSF 2225796
6 · The paper itself

Abstract

Genome sequencing has revealed a tremendous diversity of transposable elements (TEs) in eukaryotes but there is little understanding of the evolutionary processes responsible for these patterns. Theoretical studies predict interactions between elements can regulate TE proliferation but the narrow conditions are at odds with the abundance of TEs in natural populations. We implemented three models of TE regulation in stochastic simulations to analyze how regulatory logic interacted with population genetic factors including reproduction through outcrossing or self-fertility. We focused on autonomous TEs containing the recognition sequences and enzymes necessary for transposition and their non-autonomous relatives, elements that have lost this physical machinery. We found that large outcrossing populations evolving with either negative epistatic interactions between autonomous TEs or asymmetric regulation between autonomous and non-autonomous elements stably maintained TEs. Small or self-fertile populations and those in which TEs moderately impacted fitness or inserted at high rates experienced TE proliferation to the point of population extinction, suggesting high selective pressure for mutational inactivation of TEs. We tested our model predictions in Caenorhabditis genomes by annotating TEs in two focal families, autonomous long interspersed nuclear elements and their non-autonomous SINE relatives and the DNA transposon Mutator. We found variation in autonomous and non-autonomous relationships and rapid mutational decay in the sequences allowing TEs to transpose. Together, our results suggest that individual TE families evolve according to disparate regulatory rules relevant in the early, acute stages of TE invasion.

Indexed as

CaenorhabditisDNA Transposable ElementsEvolution, MolecularGenome, HelminthAnimalsGenomeModels, GeneticDNA Transposable ElementsCaenorhabditis eleganscomparative genomicsMutatorpopulation modelingsimulations

Identifiers

PMID42389935
PMCPMC13367326

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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.