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 ...
Low-Pass Filters for a Temperature Drift Correction Method for Electromagnetic Induction Systems
Low-Pass Filters for a Temperature Drift Correction Method for Electromagnetic Induction Systems
Electromagnetic induction (EMI) systems are used for mapping the soil’s electrical conductivity in near-surface applications. EMI measurements are commonly affected by time-varying...
The Stokes drift in ocean surface drift prediction
The Stokes drift in ocean surface drift prediction
<p>Ocean surface drift forecasts are essential for numerous applications. It is a central asset in search and rescue and oil spill response operations, but it is also...
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...
Wind Tunnel Evaluation of Drift Reduction Potential and Spray Characteristics with Drift Retardants at High Operating Pressure
Wind Tunnel Evaluation of Drift Reduction Potential and Spray Characteristics with Drift Retardants at High Operating Pressure
Although considerable research has been done on effectiveness of drift retardants for many years, answers to some questions are still unclear to applicators. Laboratory tests were ...
Wind Tunnel Evaluation of Drift Reduction Potential and Spray Characteristics with Drift Retardants at High Operating Pressure
Wind Tunnel Evaluation of Drift Reduction Potential and Spray Characteristics with Drift Retardants at High Operating Pressure
Abstract
Although considerable research has been done on effectiveness of drift retardants for many years, answers to some questions are still unclear to applicators...
Computations of Wave Drift Forces
Computations of Wave Drift Forces
ABSTRACT
This paper presents results from computations of drift forces upon different bodies in regular waves. An original fluid finite-element computer model is ...
The relative importance of drift causes for stream insect herbivores across a canopy gradient
The relative importance of drift causes for stream insect herbivores across a canopy gradient
A key attribute of riverine food webs is the downstream movement of invertebrates via the water column, or invertebrate drift. Causes of drift include benthic predation, food limit...

