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Nannochloropsis spp. Pathway Optimization Services

CD Biosynsis offers professional Nannochloropsis spp. Pathway Optimization Services, integrating systems biology, synthetic biology, and advanced genome editing to maximize the metabolic potential of this oleaginous microalga. Nannochloropsis is an industrial powerhouse known for its ability to accumulate high levels of triacylglycerols (TAG) and eicosapentaenoic acid (EPA). However, native metabolic networks are often geared toward survival rather than peak industrial productivity. Our services identify and remove these metabolic bottlenecks, redirecting carbon and energy flux from primary biomass toward your target high-value bioproducts.

Our optimization approach utilizes a rigorous Design-Build-Test-Learn cycle. By leveraging genome-scale metabolic models (GEMs) and multi-omics data, we pinpoint the precise enzymatic steps and regulatory nodes that limit production. We then employ high-fidelity CRISPR-Cas9/Cas12a tools to implement multi-gene modifications, including overexpressing rate-limiting enzymes, knocking out competitive pathways, and fine-tuning transcription factors. Whether you are aiming to increase lipid titers for biofuels or enhance the synthesis of specialized carotenoids and antioxidants, our platform provides the technical expertise and analytical depth to deliver optimized Nannochloropsis strains ready for commercial scale-up.

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Solution Overview Optimization Strategies Technical Workflow Key Advantages FAQs

Systems-Level Metabolic Engineering for Algal Cell Factories

Optimizing pathways in Nannochloropsis involves a sophisticated balancing act between carbon fixation, lipid biosynthesis, and cellular growth. Our platform addresses the unique compartmentalization of these pathways, ensuring that enzymes are not only expressed at high levels but also correctly localized to the chloroplast, endoplasmic reticulum, or lipid bodies. We utilize flux balance analysis (FBA) to predict metabolic "leaks" and simulate the impact of genetic modifications on the entire cellular network before laboratory execution.

A key focus of our optimization service is the redirection of carbon from storage carbohydrates, like chrysolaminarin, toward lipid synthesis. By disrupting competitive carbon sinks and upregulating key fatty acid desaturases and elongases, we can significantly increase the concentration of long-chain polyunsaturated fatty acids. Furthermore, we optimize the photosynthetic antennae size to reduce photo-inhibition and improve light penetration in high-density cultures, ensuring that the optimized metabolic pathways are fueled by maximum photosynthetic throughput.

Comprehensive Pathway Engineering Strategies

We provide a diversified toolkit of strategies to achieve peak metabolic performance in Nannochloropsis strains.

Carbon Flux Rerouting Lipid Pathway Engineering Regulatory Circuit Tuning

Carbon Flux Rerouting

Competitive Knockouts

Utilizing CRISPR to eliminate pathways that compete for carbon precursors, such as chrysolaminarin or cellulose biosynthesis, to favor TAG production.

Precursor Supply

Upregulating central metabolic enzymes to increase the supply of Acetyl-CoA and NADPH, the essential building blocks for fatty acid synthesis.

Lipid Pathway Engineering

Enzyme Overexpression

Site-specific knock-in of optimized desaturases, elongases, and acyltransferases to increase the percentage of high-value EPA in the total lipid pool.

Organelle Targeting

Engineering transit peptides to ensure the correct subcellular localization of synthetic multi-enzyme complexes for maximal substrate access.

Regulatory Circuit Tuning

Transcription Factors

Engineering master regulators that control the transition from growth to oil accumulation, allowing for inducible "switches" in production.

Promoter Engineering

Developing libraries of constitutive and inducible algal-specific promoters to fine-tune the stoichiometric expression of multiple genes in a pathway.

Technical Workflow for Pathway Optimization

Our systematic workflow ensures every project is backed by predictive modeling and rigorous experimental validation.

1. In Silico Modeling

2. Genetic Build & Multi-Gene Edit

3. High-Throughput Screening

4. Metabolic Validation

Developing a genome-scale metabolic model (GEM) of the target Nannochloropsis strain. Identifying bottlenecks via flux balance analysis (FBA) and designing the engineering strategy.

Transformation via optimized electroporation. Implementation of simultaneous knockouts and site-specific knock-ins to reconstruct or optimize metabolic pathways.

  • Cloning: Monoclonal isolation and plating to ensure genetic purity.
  • HTS: Automated screening for growth kinetics and target bioproduct accumulation (e.g., Nile Red staining for lipids).

Quantitative analysis using GC-MS (lipids), HPLC (pigments), and PAM (photosynthesis). Long-term stability testing to ensure the optimized phenotype is fixed. Delivery of the final strain.

Superiority in Algal Optimization

Data-Driven Design

Strategies are informed by predictive modeling and multi-omics integration, reducing trial-and-error and accelerating development.

Subcellular Precision

Expertise in coordinating metabolic flux across the nucleus, endoplasmic reticulum, and chloroplast stroma of Nannochloropsis.

Industrial Performance

Strains are optimized for growth and productivity in high-light and nutrient-limited environments typical of large-scale systems.

Verified Stability

Every strain is delivered with full NGS verification and stability data, ensuring the optimized traits are genetically fixed and stable.

Frequently Asked Questions

Technical insights for your Nannochloropsis project.

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1. How do you identify which genes to optimize?

We utilize genome-scale metabolic modeling (GEM) and flux balance analysis (FBA) to identify which enzymatic steps are limiting the production of your target metabolite under specific conditions.

2. Can you optimize the production of specific fatty acids like EPA?

Yes, by overexpressing specific elongases and desaturases while knocking down pathways that consume those precursors, we can significantly shift the fatty acid profile toward EPA.

3. Do you provide help with codon optimization for exogenous genes?

Absolutely. We provide comprehensive codon optimization using Nannochloropsis-specific matrices to ensure high translational efficiency and avoid gene silencing.

4. How is the genetic stability of the optimized strains verified?

Strains undergo stability trials over 30 to 50 generations. We verify that the genetic modifications and phenotypes remain constant via re-genotyping and metabolic profiling.

5. What type of reporting is provided with the final strain?

We provide a comprehensive technical report including NGS genotyping data, growth curve analysis, lipid/metabolic profiling, and stability trial results.

6. Can you optimize strains for outdoor photobioreactor performance?

Yes, we can screen and optimize strains under fluctuating light and temperature conditions that simulate outdoor cultivation environments.

7. Is the optimization process marker-free?

We offer marker-free optimization options using DNA-free RNP delivery or marker-excision systems to comply with industrial and regulatory standards.

8. What is the typical lead time for a pathway optimization project?

Due to the complexity of multi-gene engineering and metabolic validation, these projects typically range from 18 to 26 weeks.