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COmmunity and Single Microbe Optimisation System (COSMOS).

Lavanya Raajaraam1,2, Karthik Raman3,4,5

  • 1Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai, India.

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Summary
This summary is machine-generated.

A new computational tool, COSMOS, optimizes microbial monocultures and communities for bioprocessing. It identified a Shewanella-Klebsiella co-culture as efficient for 1,3-propanediol production, advancing sustainable bioprocess design.

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Area of Science:

  • Microbial Biotechnology
  • Synthetic Biology
  • Computational Biology

Background:

  • Microbial monocultures and communities are crucial for bioprocessing renewable resources.
  • Monocultures offer simplicity, while communities provide metabolic diversity and cooperative biosynthesis.
  • Systematic evaluation of microbial systems is needed to optimize bioprocesses.

Purpose of the Study:

  • To develop a dynamic computational framework, COSMOS, for simulating and comparing microbial monocultures and co-cultures.
  • To identify optimal microbial systems for specific environmental conditions and bioproducts.
  • To advance the rational design of microbial systems for sustainable bioprocessing.

Main Methods:

  • Development of the COmmunity and Single Microbe Optimisation System (COSMOS) computational framework.
  • Simulation and comparison of monocultures and co-cultures under various environmental conditions.
  • Validation of computational predictions with experimental data for 1,3-propanediol production.

Main Results:

  • COSMOS identified key factors influencing biosynthetic performance, including environmental conditions, microbial interactions, and carbon sources.
  • The Shewanella oneidensis-Klebsiella pneumoniae co-culture was predicted as the most efficient producer of 1,3-propanediol under anaerobic conditions.
  • Predictions closely matched experimental data regarding optimal carbon source concentrations and inoculum ratios.
  • Microbial communities demonstrated resilience in nutrient-limited processes.

Conclusions:

  • COSMOS is an effective tool for the rational design and optimization of microbial systems for bioprocessing.
  • Co-culture systems, like Shewanella-Klebsiella, can outperform monocultures for specific product synthesis.
  • Computational tools are essential for balancing productivity and operational simplicity in bioprocesses.
  • This study contributes to the development of sustainable bioprocesses and circular bio-economies.