Evolution of phenocopying in a dynamical model of developmental trajectories

Developmental trajectories are known to be canalized, or robust to both environmental and genetic perturbations. However, even when these trajectories are decanalized by an environmental perturbation outside the range of conditions to which they are robust, they often produce phenotypes similar to known mutants, called phenocopies. This correspondence between the effects of environmental and genetic perturbations has received little theoretical attention. Here, we study an abstract regulatory model that is evolved to follow a specific trajectory. We then study the effects of small and large perturbations to the trajectory, both by changing parameters and by perturbing the state at specific times. We find that the phenomenon of phenocopying emerges in evolved trajectories and is not present in a null model of randomly sampled trajectories. Our results suggest that, in this class of dynamic models, evolution can allow high-dimensional phenotypic landscapes to simultaneously exhibit robustness and phenocopying.

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Publication Details

Journal
PLoS Computational Biology
Published
2026-06-09
DOI
https://doi.org/10.1371/journal.pcbi.1014385
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Evolution of phenocopying in a dynamical model of developmental trajectories

PLoS Computational Biology
Gene Regulatory Network Analysis
article

Evolution of phenocopying in a dynamical model of developmental trajectories

article en

Abstract

Developmental trajectories are known to be canalized, or robust to both environmental and genetic perturbations. However, even when these trajectories are decanalized by an environmental perturbation outside the range of conditions to which they are robust, they often produce phenotypes similar to known mutants, called phenocopies. This correspondence between the effects of environmental and genetic perturbations has received little theoretical attention. Here, we study an abstract regulatory model that is evolved to follow a specific trajectory. We then study the effects of small and large perturbations to the trajectory, both by changing parameters and by perturbing the state at specific times. We find that the phenomenon of phenocopying emerges in evolved trajectories and is not present in a null model of randomly sampled trajectories. Our results suggest that, in this class of dynamic models, evolution can allow high-dimensional phenotypic landscapes to simultaneously exhibit robustness and phenocopying.

PLoS Computational BiologyVol. 22(6)
Tata Institute of Fundamental Research (IN), National Centre for Biological Sciences (IN)
Simons Foundation, Department of Atomic Energy, Government of India
Life in Land
Openalex Percentile: Top 10%
Gene Regulatory Network Analysis
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Evolution of phenocopying in a dynamical model of developmental trajectories · PLoS Computational Biology (2026) | TGRS Research Map | TGRS