Evidence map›Paper›PMID 42560121›Full record

ArticleGenome biology and evolution2026

Evolutionary Simulations Reveal Role for Genomic Recombination in the Evolution of Gene Regulatory Network Complexity and Robustness.

Madison Chapel, Carl G de Boer

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Madison ChapelSchool of Biomedical Engineering, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-2661-2916
Carl G de BoerSchool of Biomedical Engineering, University of British Columbia, Vancouver, Canada.ORCID 0000-0001-8935-5921

Funding

Canadian Institute for Health Research PJT-180537Michael Smith Health Research BC ScholarNatural Sciences and Engineering Research Council of Canada RGPIN-2020-05425
6 · The paper itself

Abstract

The gene regulatory networks of eukaryotes are dramatically more complex than the gene regulatory networks of prokaryotes, but we lack a complete picture of the selective pressures that have shaped this difference. Here, we use a biochemically informed model of gene regulation to simulate gene regulatory network evolution and explore the role that reproductive strategy plays in shaping regulatory complexity. We find that recombining and nonrecombining populations converge to the same level of complexity, even in the absence of selection. However, recombination modifies the rate at which complexity emerges, accelerating convergence to the complexity plateau in changing environments while slowing the process in static environments. Our results suggest that, rather than being under direct selection, regulatory complexity may emerge as a byproduct of other evolutionary processes. These results highlight how reproductive strategy and environmental change interact to influence evolutionary trajectories.

Indexed as

Evolution, MolecularGene Regulatory NetworksModels, GeneticRecombination, GeneticComputer SimulationSelection, Geneticevolutionary simulationgene regulationgene regulatory networksmutational robustnessrecombinationregulatory complexity

Identifiers

PMID42560121
PMCPMC13455014

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.