Microbial Biome v2.4.0 Engine
Natural Selection in a Bioluminescent Petri Dish
Bacevo simulates an autonomous 2D bacterial ecosystem. Agents possess hereditary genomes governing flagellar propulsion, chemotactic nutrient foraging radius, and antibiotic resistance enzymes. Experience speciation, carrying-capacity oscillations, and Darwinian survival in real time.
Colony Census
300
Generations
1
Resistant Strains
0.0%
Nutrient Density
85
Agar Petri Ecosystem
Canvas 60 FPS
Mode: Nutrient Sugar
Agents: 300 | Sugar: 80
Click / Drag on agar to deposit
Active Tool: Deposit Nutrients (Click anywhere on dish)
Selected Specimen HUD
AUTOFOCUSED
Agent ID:
BAC-042
Lineage Strain:
Wild-Type Alpha
Generation:
Gen 4
Propulsion Speed:
2.4 μm/s
Flagella Count:
3 flagella
Chemotaxis Radius:
54.0 px
Resistance Index:
14.2%
Cellular ATP Energy:
88.5 / 120
Live Evolutionary Telemetry & Allele Frequency Sweep
Dynamic Ring Buffer
Wild-Type Sensitive Strain (Green)
Antibiotic-Resistant Mutated Strain (Cyan)
Free Nutrient Units (Gold)
Active Toxin Lethality Index
Chemotactic Run & Tumble
Locomotion uses stochastic biased random walks with temporal gradient sensing. When moving toward higher nutrient concentration $\nabla C$, tumble frequency drops exponentially:
$P(\text{tumble}) = \alpha_0 \cdot \exp\left(-\beta \frac{dC}{dt}\right)$
Metabolic Energy Budget
Cellular ATP consumption balances flagellar propulsion speed $v$, sensory radius $R_s$, and flagella count $N_f$. Reproduction occurs when energy exceeds mitosis threshold $E_{\text{mitosis}} \ge 120$:
$\dot{E} = -k_0 - k_v v^{1.6} - k_s R_s - k_f N_f + \eta \cdot E_{\text{sugar}}$
Mendelian Mutation Matrix
During binary fission, offspring genomes mutate stochastically with Gaussian drift $N(0, \sigma^2)$. Resistant mutants express $\beta$-lactamase neutralizing surrounding toxin rings:
$\text{DNA}_{\text{child}} = \text{DNA}_{\text{parent}} + \delta \cdot \mathcal{N}(0, \sigma^2)$