Evidence map›Paper›PMID 41931578›Full record

ArticlePLoS genetics2026

System drift in the evolution of plant meristem development.

Pjotr L van der Jagt, Steven Oud, Renske M A Vroomans

Abstract read
In one paragraph

Article in PLoS genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Pjotr L van der JagtSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0009-0004-9731-5144
Steven OudSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Renske M A VroomansSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-1353-797X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developmental system drift (DSD) is a process where a phenotypic trait is conserved over evolutionary time, while the genetic basis for the trait changes. DSD has been identified in models with simpler genotype-phenotype maps (GPMs), such as RNA folding, however the extent of DSD in more complex GPMs, such as developmental pattern formation, is debated. To investigate the occurrence of DSD in complex developmental GPMs, we constructed a multi-scale computational model of the evolution of gene regulatory networks (GRNs) governing plant meristem (stem cell niche) development. We found that, during adaptation, some regulatory interactions became essential for the correct expression of stem cell niche genes. These regulatory interactions were subsequently conserved for thousands of generations. Nevertheless, we observed that these deeply conserved regulatory interactions could be lost over an extended period of stabilising evolution. These losses were compensated by changes elsewhere in the GRN, which then became conserved as well. This gain and loss of regulatory interactions resulted in a continual cis-regulatory rewiring in which accumulated changes caused changes in the expression of several genes. Using two publicly available datasets we found frequent changes in conserved non-coding sequences across six evolutionarily divergent plant species, and showed that these changes do not correlate with changes in gene expression patterns, demonstrating the occurrence of DSD. These findings align with the results from our computational model, showing that DSD is pervasive in the evolution of complex developmental systems.

Indexed as

Evolution, MolecularGene Regulatory NetworksMeristemPlant DevelopmentGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantModels, GeneticPhenotypeStem Cell Niche

Identifiers

PMID41931578
PMCPMC13075796

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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.