Applications of genome-scale metabolic models to investigate microbial metabolic adaptations in response to genetic or environmental perturbations

Elena Lucy Carter, Chrystala Constantinidou, Mohammad Tauqeer Alam

Research output: Contribution to journalReview articlepeer-review

Abstract

Environmental perturbations are encountered by microorganisms regularly and will require metabolic adaptations to ensure an organism can survive in the newly presenting conditions. In order to study the mechanisms of metabolic adaptation in such conditions, various experimental and computational approaches have been used. Genome-scale metabolic models (GEMs) are one of the most powerful approaches to study metabolism, providing a platform to study the systems level adaptations of an organism to different environments which could otherwise be infeasible experimentally. In this review, we are describing the application of GEMs in understanding how microbes reprogram their metabolic system as a result of environmental variation. In particular, we provide the details of metabolic model reconstruction approaches, various algorithms and tools for model simulation, consequences of genetic perturbations, integration of ‘-omics’ datasets for creating context-specific models and their application in studying metabolic adaptation due to the change in environmental conditions.

Original languageEnglish
Article numberbbad439
JournalBriefings in Bioinformatics
Volume25
Issue number1
DOIs
Publication statusPublished - Jan 1 2024

Keywords

  • emerging human pathogens
  • environmental variation
  • genome-scale metabolic models
  • host switching
  • metabolic adaptation
  • simulation
  • tools
  • ‘-omics’ data

ASJC Scopus subject areas

  • Information Systems
  • Molecular Biology

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