Javascript must be enabled to continue!
Ubiquitous systems drift in the evolution of development
View through CrossRef
Developmental systems 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), however the extent of DSD in more complex GPMs, such as developmental systems, 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 the extended period of neutral 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 confirmed the prevalence of cis-regulatory changes across six evolutionary divergent plant species, and showed that these changes do not necessarily impact 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.
Statement of significance
A key open question in evo-devo research is the evolvability of complex phenotypes: to which extent is neutral or beneficial change hindered by deleterious mutations? We investigated the potential for developmental systems drift (DSD) in plant development using a computational evo-devo model. We found that the regulatory interactions between genes changed extensively, resulting in the continual neutral rewiring of the gene regulatory network underpinning development. Even regulatory interactions that were essential for correct development were replaced over long evolutionary time scales. Using plant genome and gene expression data from two publicly available datasets, we found high turnover of cis-regulatory elements without consistent change in gene expression, confirming the widespread occurrence of DSD as predicted by our model.
Title: Ubiquitous systems drift in the evolution of development
Description:
Developmental systems 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), however the extent of DSD in more complex GPMs, such as developmental systems, 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 the extended period of neutral 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 confirmed the prevalence of cis-regulatory changes across six evolutionary divergent plant species, and showed that these changes do not necessarily impact 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.
Statement of significance
A key open question in evo-devo research is the evolvability of complex phenotypes: to which extent is neutral or beneficial change hindered by deleterious mutations? We investigated the potential for developmental systems drift (DSD) in plant development using a computational evo-devo model.
We found that the regulatory interactions between genes changed extensively, resulting in the continual neutral rewiring of the gene regulatory network underpinning development.
Even regulatory interactions that were essential for correct development were replaced over long evolutionary time scales.
Using plant genome and gene expression data from two publicly available datasets, we found high turnover of cis-regulatory elements without consistent change in gene expression, confirming the widespread occurrence of DSD as predicted by our model.
Related Results
A new sea ice state dependent parameterization for the free drift of sea ice
A new sea ice state dependent parameterization for the free drift of sea ice
Abstract. Free drift estimates of sea ice motion are necessary to produce a seamless observational record combining buoy and satellite-derived sea ice motion vectors. We develop a ...
Intrusion Detection in IoT Data Streams based onEMNCD with Concept Drift
Intrusion Detection in IoT Data Streams based onEMNCD with Concept Drift
Abstract
With the widespread application of smart devices, the security of IoT systems faces entirely new challenges. The IoT data stream operates in a non-stationary, dyna...
Forecast of Iceberg Ensemble Drift
Forecast of Iceberg Ensemble Drift
ABSTRACT
The objectives of the study are to gain a better understanding of the characteristics of iceberg motion and the factors controlling iceberg drift, and to...
Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework
Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework
Abstract
In applied machine learning, concept drift, which is either gradual or abrupt changes in data distribution, can significantly reduce model performance. Typ- ical d...
Stability through plasticity: Finding robust memories through representational drift
Stability through plasticity: Finding robust memories through representational drift
AbstractMemories are believed to be stored in synapses and retrieved through the reactivation of neural ensembles. Learning alters synaptic weights, which can interfere with previo...
Arctic sea ice circulation and drift speed: Decadal trends and ocean currents
Arctic sea ice circulation and drift speed: Decadal trends and ocean currents
We examine the basinwide trends in sea ice circulation and drift speed and highlight the changes between 1982 and 2009 in connection to regional winds, multiyear sea ice coverage, ...
A SURVEY ON UBIQUITOUS COMPUTING
A SURVEY ON UBIQUITOUS COMPUTING
This work presents a survey of ubiquitous computing research which is the emerging domain that implements communication technologies into day-to-day life activities. This research ...
DESIGN AND BEHAVIOUR OF SANDTRAPS IN REGIONS OP HIGH LITTORAL DRIFT
DESIGN AND BEHAVIOUR OF SANDTRAPS IN REGIONS OP HIGH LITTORAL DRIFT
Siltation in harbours and their approach channels is one of the major problems connected with the development of harbours. The economics of harbours are directly related to their a...

