Virtual Microbes Simulation Data on Metabolic Network Evolution and Cross-Feeding

VirtualMicrobes simulation data supports a Nature Communications Biology paper on contingent evolution. Jeroen Meijer from Utrecht University generated this data for a 2020 study. The data likely contains parameters and outcomes from simulations of evolving metabolic network topologies.

Use Cases

• Modeling the evolution of alternative metabolic network topologies based on simulation parameters.
• Analyzing conditions that determine the emergence of cross-feeding between simulated organisms.
• Studying evolutionary contingency and historical path dependence in simulated ecosystems.

Strengths

• Data is directly linked to a peer-reviewed publication in Nature Communications Biology.
• The simulation source, VirtualMicrobes, is publicly available for verification and extension.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jeroen Meijer, Utrecht University

Collection Method

Generated with the VirtualMicrobes simulation software.