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Vibrio natriegens-Based Assay and Modeling Services

CD Biosynsis offers advanced Vibrio natriegens-Based Assay and Modeling Services, integrating cutting-edge experimental analysis with powerful computational modeling to facilitate rational strain design and optimization. V. natriegens is a robust, ultra-fast microbial host known for its rapid doubling time (approximately 10 min) and complex dual-chromosome metabolism, making it ideal for high-speed biomanufacturing. Our services move beyond simple genetic modification by providing a deep, quantitative understanding of the host's behavior. We combine high-precision In Vitro and In Vivo assays (metabolomics, fluxomics, protein activity) with Constraint-Based Modeling (CBM) and Kinetic Modeling to accurately predict metabolic flux, optimize gene expression levels, and pinpoint systemic bottlenecks. This integrated approach minimizes trial-and-error experimentation, ensuring rapid and predictable development of high-performance V. natriegens strains.

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Service Overview Assay & Modeling Types Integrated Workflow Advantages FAQs

Integrating Data and Prediction for Rational Strain Design

The highly flexible and complex metabolic network of Vibrio natriegens demands sophisticated tools to guide effective metabolic engineering efforts. Our Assay and Modeling platform bridges the gap between genotypic edits and phenotypic outcomes. By experimentally characterizing key cellular metrics (Assays) and using this data to parameterize predictive Models, we can accurately simulate the effects of genetic modifications before they are built in the lab. This capability is central to rational design, allowing our clients to make informed decisions, prioritize the most effective genetic targets, and drastically reduce the number of iterative experiments required to achieve optimal product yield and purity.

Assay and Computational Modeling Types Offered

Quantitative Experimental Assays Computational Modeling Tools Data Integration & Analysis

Quantitative Experimental Assays (Data Generation)

High-Resolution Measurement of Cellular Metrics

Metabolomics Profiling (Targeted/Untargeted)

Comprehensive GC-MS/LC-MS analysis of intracellular and extracellular metabolites to quantify pathway intermediates and track precursor consumption.

Fluxomics (Isotope Tracing)

Measurement of metabolic fluxes via 13C labeling and mass spectrometry to accurately determine carbon flow through central metabolism and target pathways.

Transcriptomics & Proteomics

Quantification of mRNA (RNA-seq) and protein levels to map gene expression and enzyme concentrations in response to engineering and environmental changes.

Computational Modeling Tools (Prediction & Optimization)

Simulating Strain Behavior for Rational Design

Constraint-Based Modeling (CBM/FBA)

Using Flux Balance Analysis (FBA) based on the V. natriegens genome-scale model to predict maximum theoretical yields, optimize substrate utilization, and propose effective gene knockouts.

Metabolic Control Analysis (MCA)

Identifying the rate-limiting steps (bottlenecks) and determining the sensitivity of metabolic fluxes to changes in enzyme activity or concentration.

Kinetic Modeling

Development of dynamic models to simulate time-dependent changes in cell growth, substrate uptake, and product formation under various fermentation strategies, vital for the ultra-fast growth V. natriegens.

Data Integration and Predictive Analysis

Guiding the Engineering Process

Optimal Target Recommendation

Using model outputs (e.g., FBA predictions and MCA results) to recommend the most impactful genetic targets for knockout, knock-in, or expression tuning.

Predictive Promoter Tuning

Calculating the optimal expression level for each enzyme in a pathway to maximize flux, guiding the selection of promoter strength and RBS optimization (using Base Editing).

Fermentation Condition Simulation

Simulating the strain's performance under different media compositions and nutrient feeding strategies to optimize high-speed industrial process parameters.

Assay and Modeling Integrated Workflow

We connect high-quality experimental data with predictive simulation to deliver highly efficient strain optimization.

1. Initial Modeling & Hypothesis

2. Experimental Strain Culturing

3. Quantitative Data Assays

4. Model Validation & Refinement

Establish a computational model (FBA, Kinetic) based on the V. natriegens native metabolism and target pathway.

Simulate effects of potential edits and predict initial bottlenecks/optimal conditions.

Generate initial hypothesis and experimental plan for target verification.

Cultivate wild-type and initially engineered V. natriegens strains under tightly controlled, high-speed fermentation conditions.

Collect biomass and supernatant samples at specific time points reflecting key metabolic transitions.

  • Metrics: Measure growth rate, product titer, and robustness under controlled fermentation conditions.
  • Data Acquisition: Perform metabolomics, fluxomics, and expression profiling on collected samples.
  • QC: Verify data quality and ensure consistency with cell physiology.

Integrate new experimental assay data to validate and refine the computational model parameters.

Identify prediction errors, extract new design rules specific to the V. natriegens system, and recommend the final optimization strategy (e.g., precise promoter tuning).

Deliver the predictive model and data-driven optimization strategy.

Superiority in V. natriegens Assay and Modeling

Ultra-Host Specific Model

Use of the established V. natriegens genome-scale model as a base, customized with multi-omics data specific to the client's engineered or wild-type strain, crucial for dual-chromosome metabolism.

High-Resolution Flux Analysis

Expertise in both experimental 13C-Fluxomics and computational FBA modeling for accurate flux determination and visualization in V. natriegens's complex, rapid metabolism.

Kinetic Modeling for Speed

Development of dynamic kinetic models to simulate time-dependent changes, which is vital for optimizing induction timing and substrate feeding in a host with a 10-minute doubling time.

Data-Driven Rational Design

Computational modeling is performed before and refined after strain construction to ensure all genetic edits are maximally effective and guided by current data, minimizing trial-and-error.

FAQs About V. natriegens Assay and Modeling Services

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1. What is the primary benefit of using modeling for V. natriegens engineering?

Modeling provides a computational prediction of the maximum theoretical yield of a product, allowing engineers to identify limiting factors and prioritize gene edits (knockouts, tuning) before expensive, rapid V. natriegens lab work begins.

2. How do you parameterize your computational models for V. natriegens?

Model parameters are derived from high-resolution experimental assays, including metabolite concentrations (Metabolomics), enzyme activity levels (Proteomics), and measured metabolic fluxes (Fluxomics/13C labeling), ensuring high prediction accuracy.

3. Is your modeling compatible with the dual-chromosome V. natriegens genome?

Yes. We use a genome-scale model that accurately represents the unique distribution of metabolic pathways across V. natriegens Chromosome I and II, ensuring the model is highly predictive for this specific host.

4. What is the benefit of Kinetic Modeling over Flux Balance Analysis (FBA)?

FBA provides steady-state flux predictions. Kinetic Modeling incorporates enzyme kinetics and time-dependency, allowing us to simulate dynamic processes like substrate feeding and lag-phase behavior, which is critical for optimizing V. natriegens's rapid fermentation.

5. Which V. natriegens-specific challenges does your assay system address?

Our assay systems are optimized for the high dilution rate and fast growth of V. natriegens, ensuring that samples are collected and quenched rapidly enough to capture accurate snapshots of intracellular metabolism.

6. Can you analyze the flux through a heterologous (non-native) pathway?

Yes. By integrating the heterologous pathway into the V. natriegens genome-scale model and confirming flux via 13C-Fluxomics, we can accurately quantify the carbon flow efficiency through the engineered route.

7. What type of output recommendation do you provide after the model refinement?

We provide a prioritized list of actionable genetic targets, including specific promoter strengths (RBS optimization via Base Editing) or precise gene repression levels (CRISPRi targets) to achieve the calculated optimal flux balance.

8. How do you perform transcriptomics and proteomics for this host?

We use high-resolution techniques (RNA-seq and quantitative mass spectrometry) adapted for V. natriegens sample preparation to quantify mRNA and protein levels, linking genetic modifications to enzyme availability for the models.