MicroTwinMICROBIAL SYSTEMS. DIGITAL INSIGHT.Invited access ↗
MICROTWIN / SCIENTIFIC FRAMEWORK01 — AGENT × NICHE

Digital Twins
For Microbial
Systems

Individual agents in scenario-defined niches, a theoretical foundation and testable reasoning for microbe-directed precision manipulation.

AGENT STATE DYNAMICSΔxi = fi(xi, neighbors, environment)
Microbial agents, exchanged metabolites and environmental factors within a modeled system boundary, with external resource input and model output readout.
aᵢ Microbial agentsmᵢ Exchanged metaboliteseᵢ Environmental factorsResource use · Cross-feeding · Interference
01 / MICROBIAL AGENTS

Define the organism

Integrate taxonomy, genetic potential, metabolic traits, and ecological lifestyle into individual agents with data-informed and provisional guild assignments. Define each organism’s identity, capabilities and context-dependent behavior.

Explore the agent identity layers
  1. DNA · Taxonomic identity & genetic potential

    Genome-based taxonomy establishes evolutionary identity; genome annotation describes encoded capabilities such as substrate utilization, complex-polysaccharide degradation and energy metabolism.

    Taxonomic foundation: Zheng et al. (2020), with Gänzle & Walter — reclassification of Lactobacillus. Supports genome-based classification of lactobacilli; organism-specific functional potential requires separate genome annotation and evidence.

  2. RNA · Condition-responsive functions

    Transcriptomic evidence of expressed functions and responses under specified conditions. Induction requires a comparison between conditions; expression alone does not establish metabolic flux.

  3. Metabolism · Functional activity

    Pathway evidence, substrate consumption and metabolite production constrain realized functions. Metabolite presence alone does not identify the producing organism or establish pathway flux.

  4. Virulence · Context-dependent pathogenic potential

    Virulence-associated genes, their expression and relevant phenotypes inform potential for harm alongside host susceptibility and exposure. Gene detection alone does not establish pathogenicity.

  5. Ecology · Lifestyle & functional guilds

    Keep ecological lifestyle distinct from functional guild membership. Host-adapted, nomadic and free-living lifestyles describe niche dependence; guilds group organisms by resource use or ecological function.

    Lifestyle framework: Duar et al. (2017), with Gänzle & Walter. Developed for lactobacilli; application to other organisms needs evidence.

  6. Integrated agent identity

    Combine taxonomy, genetic potential, condition-specific activity, functional guilds and ecological lifestyle into a traceable agent profile. Record the evidence, uncertainty and missing layers; this identity does not replace taxonomic classification.

02 / THE NICHE

Reconstruct its environment

Define accessible substrates, microbial neighbors and environmental context. Match agent capabilities to local resources, and resolve cross-feeding, competition and other context-dependent interactions within the community.

Explore resources and microbial interactions
  1. Substrate delivery & accessibility

    For the gut: dietary intake → host digestion and small-intestinal absorption → residual substrates delivered to the hindgut. Add host-derived inputs from secretion and tissue turnover: mucin glycans and protein, bile acids, digestive secretions and shed epithelial cells. Distinguish nutrient resources from compounds that microbes transform or that alter their environment: bile acids can act as metabolic substrates and selective pressures, while antimicrobial peptides can inhibit susceptible organisms. Delivery, reabsorption, local concentration and microbial transformation determine exposure; host secretion does not imply that the entire amount reaches the hindgut. Local accessibility also depends on substrate structure, transit and microbial processing.

  2. Agent-specific resource use

    Determine whether each agent can degrade the substrate, transport the released products and metabolize them. A primary degrader may release products for other organisms, or retain them; shared access is not assumed.

  3. Cross-feeding & mutual benefit

    One organism’s degradation products or metabolites can support another. Cross-feeding may be one-way; call it mutualism only when benefits to both partners are supported.

    Rakoff-Nahoum et al. (2016): cooperation within the gut microbiota.

  4. Resource competition & interference competition

    Organisms may compete by consuming shared limiting resources, or by producing antimicrobial compounds, including bacteriocins and other antibiotics, that inhibit or kill susceptible competitors. Effects depend on production conditions, exposure, target susceptibility and resistance.

    Example: E. coli Nissle 1917 microcins limited competing Enterobacteriaceae in the inflamed mouse gut. Sassone-Corsi et al. (2016). This is a specific mechanism and context, not a universal interaction rule.

  5. No detectable interaction

    Allow negligible effects under the tested conditions when organisms use distinct resources or have limited exposure to one another. Absence of a detected effect does not establish universal neutrality.

Proposed interaction framework. Assign mechanisms from strain- and condition-specific evidence; these interactions are not all implemented in the current demonstration models.

03 / TARGETED MANIPULATION

Find what can be targeted

Connect agent identity and niche-dependent mechanisms to controllable factors: diet, drugs, live microbes, phages and environmental conditions. Test targeted changes against a defined outcome, and evaluate predictions with experiments.

Explore manipulation options
  1. Diet & substrate supply

    Change dietary composition, fermentable substrates or feeding patterns to alter resource availability and microbial selection.

  2. Drugs & antibiotics

    Represent compound-specific exposure, microbial susceptibility and resistance, including direct inhibition and indirect effects on the host or niche.

  3. Live microbial preparations

    Introduce defined strains or consortia; evaluate survival, establishment, resource use and interactions with the resident community.

  4. Bacteriophages

    Evaluate host-range-specific targeting, infection dynamics and bacterial resistance within the community context.

  5. Niche conditions & combined strategies

    Test changes in physical conditions or delivery schedules, alone or in combination with other approaches, against the specified outcome.

Candidate simulation strategies, not treatment recommendations. Each requires mechanism-specific data and validation; support depends on the application model.

A proposed integration framework. Each application uses the evidence available; missing omics layers remain explicit. Genetic potential, expressed functions, metabolic activity and pathogenic potential are distinct evidence levels; predictions and transfer across niches or hosts require appropriate validation. Guild assignment from omics data is an active research frontier.

Tailored settings
One framework

Each niche is a discipline of its own.
We earn depth one system at a time before expanding across many.

In vitro

Microbial cultures and communities within controlled experimental environments.

Nutrient supply + physical and chemical conditions + experimental configuration. Evaluate agent function, resource use and microbial interactions within that context.

  • 01Bacterial culture
    • 01Single-strain culture

      Demo coming soon.

    • 02Mixed-species culture

      Demo coming soon.

  • 02Fermentation systems

    Demo coming soon.

  • 03Environmental systems
    • 01Soil

      Demo coming soon.

    • 02Wastewater

      Demo coming soon.

    • 03Biofilm

      Demo coming soon.

In vivo

Gut microbial communities within a living host.

Nutrient sources + intestinal physiology + host-specific conditions. Evaluate agent function, ecological adaptation and host interactions within that context.

  • 01Humans
    • 01Healthy controls

      Demo coming soon.

    • 02Disease cohorts

      Demo coming soon.

  • 02Laboratory animals
    • 01Mouse strains

      Example backgrounds: C57BL/6J, BALB/cJ and DBA/2J. Exact strain or substrain will be specified for each demo.

      Demo coming soon.

    • 02Rat strains

      Example strains and stocks: Sprague Dawley, Wistar Han and Long-Evans. Supplier and stock designation will be specified for each demo.

      Demo coming soon.

    • 03Disease models · to be defined

      Demo coming soon.

  • 03Monogastric livestock

    Demo coming soon.