Exploring the revolutionary field of eco-evo-devo through artificial creatures in 3D physical environments
What if we could witness millions of years of evolution in just hours? What if we could observe creatures adapting to challenges in ways nature has never revealed?
Welcome to the revolutionary world of eco-evo-devo—an interdisciplinary field that integrates ecology, evolutionary biology, and developmental biology to understand how organisms evolve in response to their environments 2 . At the forefront of this emerging science stands a groundbreaking experiment: the evolution of artificial creatures within a 3D physical environment that challenges them to overcome obstacles through both physical adaptation and environmental engineering 1 .
Did you know? Eco-evo-devo provides a coherent conceptual framework for exploring causal relationships among developmental, ecological, and evolutionary levels, contributing to a simpler, more elegant biological theory 2 .
This isn't just about creating clever digital beings; it's about answering fundamental questions that have puzzled biologists for centuries. How do organisms develop the ability to modify their environments? How do these modifications then influence subsequent evolution? What role does an organism's capacity to change its form throughout its lifetime play in its evolutionary success?
Study of how species change over time through genetic variation and natural selection.
Examination of how organisms interact with each other and their physical environment.
Eco-evo-devo represents one of the most significant expansions of evolutionary theory in recent decades, recognizing the complex interplay between environmental cues, developmental mechanisms, and evolutionary processes 2 .
The ability of an organism to change its physical form and behavior in response to environmental conditions during its lifetime 1 .
The phenomenon where organisms alter selection pressures through their ecological activities 1 .
| Concept | Definition | Biological Example | Evolutionary Significance |
|---|---|---|---|
| Developmental Plasticity | Ability to change form/behavior during lifetime in response to environment | Daphnia growing protective spines when detecting predators | Allows rapid response to environmental changes; may precede genetic evolution |
| Niche Construction | Organisms modifying their own and others' selection pressures through ecological activities | Beavers building dams that create new aquatic ecosystems | Creates new evolutionary pathways by altering selective environments |
| Ecological Inheritance | Passing down of modified environments to subsequent generations | Bird nests used by multiple generations | Provides descendants with modified starting conditions beyond genetic inheritance |
| Eco-Evo-Devo Integration | Study of how environmental cues, developmental mechanisms, and evolutionary processes interact | Woodpeckers evolving strengthened bills in response to tree-pecking behavior | Reveals reciprocal causation between development, ecology, and evolution |
"The plasticity-first hypothesis suggests that when environments change, previously hidden phenotypes may be expressed through developmental plasticity. The adaptive phenotypes among these can then spread through a population, potentially preceding and promoting genetic evolution 1 ."
In a groundbreaking study published in 2025, researchers designed an elegant experiment to explore how developmental plasticity and niche construction interact within an evolutionary context 1 . They created a 3D virtual environment using the PyBullet physics engine, populated with artificial creatures composed of multiple rigid blocks.
These creatures faced a critical challenge: crossing two valleys to reach a target destination 1 . The experimental setup was both simple and ingenious, with each creature beginning its journey positioned before two valleys, with the target block located 50 units away.
A visualization of digital creatures in a simulated environment
| Experimental Condition | Key Capabilities | Primary Adaptive Strategy | Success Rate | Observed Behaviors |
|---|---|---|---|---|
| Initial Development (ID) | One-time morphological development at birth | Static body plans optimized through generations | Moderate | Effective for simpler challenges but limited in complex environments |
| Lifetime Development (LD) | Continuous morphological change throughout existence | Dynamic form-shifting to overcome different obstacles | High for Valley 1 | Creatures developed specialized forms for different valley challenges |
| Niche Construction (NC) | Ability to place blocks in the environment | Building physical structures to bridge gaps | High for Valley 2 | Construction of bridges, ramps, and supporting structures |
| LD + NC Combination | Both form-changing and environment-altering capabilities | Complementary use of morphology and construction | Highest overall | Division of labor: LD for Valley 1, NC for Valley 2 |
| High Ecological Inheritance | Persistent environmental modifications across generations | Reliance on inherited structures with reduced new construction | Variable | Risk of maladaptive patterns when inherited structures hinder rather than help |
When creatures had both lifetime development and niche construction capabilities, they evolved complementary strategies: morphological development primarily helped them cross the first valley, while niche construction proved more valuable for the second, more challenging gap 1 .
Creatures develop basic movement capabilities and simple morphological adaptations.
Specialization emerges: some creatures focus on morphological changes, others on construction.
Integration of strategies: creatures combine LD and NC for optimal valley crossing.
Efficient use of ecological inheritance emerges, with creatures building on previous generations' constructions.
Behind every compelling scientific discovery lies an array of specialized tools and methodologies.
| Research Tool | Function | Role in Experiment | Real-World Biological Equivalent |
|---|---|---|---|
| PyBullet Physics Engine | 3D physics simulation | Provided realistic physical environment with gravity, collision detection, and rigid body dynamics | The physical laws and constraints of natural environments |
| HyperNEAT/CPPN | Evolutionary algorithm generating neural networks | Evolved controllers for both creature development and niche construction behaviors | Genetic regulatory networks that control development and behavior in organisms |
| Compositional Pattern Producing Networks (CPPNs) | Method for encoding regular patterns and symmetries | Represented creature genotypes, enabling complex, symmetrical morphologies | Developmental genes that create symmetrical body plans in organisms |
| Multi-agent Simulation | Simultaneous evaluation of multiple interacting agents | Allowed population-level evolutionary dynamics and interactions | Ecological communities with multiple interacting individuals and species |
| Fitness Landscape Analysis | Measurement of adaptive progress | Quantified how successfully creatures approached the target | Field measures of reproductive success and survival in natural populations |
Instead of manually designing robots for specific environments, we might evolve them, leveraging similar principles of developmental plasticity and niche construction 1 .
Understanding how organisms might respond to rapid environmental change, suggesting species with greater plasticity might be more resilient to anthropogenic changes.
"These studies challenge long-held views about the relationship between organisms and their environments. Rather than viewing evolution as a one-way street where environments shape organisms, eco-evo-devo reveals the reciprocal nature of this relationship: organisms actively construct and modify their environments, which then shapes subsequent evolutionary trajectories 1 2 ."
The exploration of eco-evo-devo through artificial creatures in 3D environments represents more than just a technical achievement—it offers a new window into the fundamental processes that shape life. By compressing evolutionary time and enabling precise observation and manipulation of variables that would be impossible in natural systems, these digital worlds are helping us rewrite the textbooks on evolution.
The key insight emerging from this research is that development, construction, and inheritance form an intricate evolutionary dance. Organisms don't just inherit genes; they inherit environments modified by their ancestors. They don't just express predetermined forms; they adjust their development in response to environmental conditions. They aren't just passive subjects of selection; they actively engineer the environments that then select them.
Integrated Understanding: "Eco-evo-devo provides a comprehensive approach for investigating these dynamics, integrating molecular, developmental, ecological, and evolutionary perspectives 2 ." In an era of rapid environmental change, this integrated understanding has never been more valuable.
Organisms develop → Organisms construct environments → Environments select organisms → Cycle continues