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COSMOS: Smarter Microbial Design for Sustainable Biomanufacturing

10 Sep 2025 GS 3 Science & Technology
COSMOS: Smarter Microbial Design for Sustainable Biomanufacturing Click to view full image


Key Highlights:

  1. Development:

    • Scientists at IIT Madras have developed a computational tool named COSMOS (Community and Single Microbe Optimisation System).

    • Purpose: To determine whether a single microbe (monoculture) or a microbial community (co-culture) is optimal for a given industrial bioprocess.

  2. Functionality:

    • Uses simulations to predict microbial productivity under various conditions.

    • Considers factors like feedstock type, oxygen levels, inoculum ratios, and metabolic cooperation between microbes.

    • Helps industries “test-drive” microbial strategies in silico before expensive lab trials.

  3. Industrial Example:

    • Predicted that a co-culture of Shewanella oneidensis and Klebsiella pneumoniae produces 1,3-propanediol (PDO) more efficiently than either microbe alone.

    • PDO is an industrial chemical used to produce:

      • Polytrimethylene terephthalate (PTT) – for textiles, carpets, engineering plastics

      • Polyurethane foams, coatings, adhesives

      • Cosmetics and solvents

    • When made from renewable feedstocks (corn sugar, glycerol), PDO offers a sustainable alternative to petroleum-based glycols.

  4. Significance:

    • Addresses the trade-off between monocultures and communities:

      • Monocultures: Simple to manage, limited productivity

      • Communities: Higher productivity via metabolic cooperation, but complex to optimise

    • COSMOS acts as a decision-making filter, guiding whether a monoculture or community is more suitable.

    • Helps in sectors like biofuels, pharmaceuticals, and bioplastics.

    • Supports decarbonisation and sustainable production, contributing to the emerging bioeconomy.

  5. Limitations & Validation:

    • Relies on generalised parameters, does not capture every strain-specific detail.

    • Validated against lab data; reliably predicts performance trends.

    • Acts as a pre-selection tool, not a replacement for experiments.

Implications:

  • Enables cost-effective and time-efficient industrial bioprocess optimisation.

  • Promotes sustainable production using microbes.

  • Strengthens India’s position in bio-based industries and green manufacturing technologies.



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