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Artificial microbial consortia for bioproduction processes.

Fabian Mittermeier1, Miriam Bäumler1, Prasika Arulrajah2

  • 1Department of Energy and Process Engineering TUM School of Engineering and Design Chair of Biochemical Engineering Technical University of Munich Garching Germany.

Engineering in Life Sciences
|January 9, 2023
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Summary
This summary is machine-generated.

Artificial microbial consortia offer significant potential for biotechnological production, enabling the creation of platform chemicals, biofuels, and pharmaceuticals. This review highlights their diverse applications and the advantages of combining different microorganisms in co-cultures.

Keywords:
artificial consortiabioproduction processescell‐to‐cell interactionsco‐cultivation

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Area of Science:

  • Biotechnology
  • Synthetic Biology
  • Microbiology

Background:

  • Artificial microbial consortia are gaining traction in biotechnology for process improvement and novel development.
  • Co-cultures leverage the distinct metabolic capabilities of various microorganisms.

Purpose of the Study:

  • To review recent advancements in utilizing microbial consortia for biotechnological production.
  • To showcase the potential of co-cultures in producing platform chemicals, biofuels, and pharmaceuticals.
  • To discuss interaction mechanisms and process development challenges.

Main Methods:

  • Review of existing literature on microbial co-culture applications.
  • Analysis of different microbial groups (bacteria, yeast, fungi, microalgae) and their roles.
  • Discussion of interaction mechanisms and process monitoring techniques.

Main Results:

  • Microbial consortia effectively produce diverse compounds like platform chemicals, biofuels, and pharmaceuticals.
  • Fungi excel at degrading lignocellulosic substrates, while microalgae can fix CO2.
  • Successful co-culture processes demonstrate the viability of artificial microbial consortia.

Conclusions:

  • Artificial microbial consortia represent a powerful tool for sustainable biotechnological production.
  • Understanding and managing microbial interactions are key to optimizing co-culture processes.
  • Further development in process monitoring and automation will enhance consortium applications.