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Constraint-based stoichiometric modelling from single organisms to microbial communities.

Willi Gottstein1, Brett G Olivier1, Frank J Bruggeman1

  • 1Systems Bioinformatics, Amsterdam Institute for Molecules, Medicines and Systems, VU University Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, The Netherlands.

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|March 24, 2017
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Summary

Computational models, particularly flux balance analysis (FBA), are crucial for understanding microbial communities and their metabolic interactions. This review explores FBA applications and challenges in modeling these complex ecosystems.

Keywords:
community flux balance analysisderivation of flux balance analysisgenome-scale stoichiometric modelsgrowth strategiesmetabolic interactionsmicrobial communities

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Area of Science:

  • Microbiology
  • Computational Biology
  • Systems Biology

Background:

  • Microbial communities are vital for environmental, health, and biotechnological applications.
  • Metabolic interactions like competition and cross-feeding significantly influence microbial community structure and function.
  • Understanding these complex interactions at a systems level is a major scientific challenge.

Purpose of the Study:

  • To review the applications and limitations of constraint-based stoichiometric modeling tools, specifically flux balance analysis (FBA).
  • To explain the FBA approach from first principles and identify challenges in its extension to microbial communities.
  • To discuss current approaches for applying FBA to microbial communities.

Main Methods:

  • Explanation of constraint-based stoichiometric modeling and flux balance analysis (FBA).
  • Identification of challenges in extending FBA to model microbial communities.
  • Distinction between steady-state and dynamic FBA approaches for community modeling.

Main Results:

  • Constraint-based stoichiometric modeling, including FBA, offers essential tools for understanding microbial community metabolism.
  • Significant challenges exist in accurately modeling metabolic exchanges and community dynamics using FBA.
  • Various approaches have been developed to extend FBA to community-level analysis, with ongoing advancements.

Conclusions:

  • While progress has been made in applying FBA to microbial communities, many challenges remain.
  • Further development of FBA methodologies is needed to fully elucidate microbial community functioning.
  • Computational modeling is indispensable for achieving a systems-level understanding of microbial ecosystems.