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Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
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Genome-Scale Metabolic Models in Fungal Pathogens: Past, Present, and Future

Angie Lorena Fonseca-Fernández1, Andrés Fernando González Barrios2, Adriana Marcela Celis Ramírez1

  • 1Grupo de Investigación Celular y Molecular de Microorganismos Patógenos (CeMoP), Department of Biological Science, Faculty of Science, Universidad de los Andes, Bogotá 111711, Colombia.

International Journal of Molecular Sciences
|October 16, 2024
PubMed

Insights

Genome-scale metabolic models (GEMs) offer insights into fungal pathogens, aiding in understanding human infections and developing new therapies. This review compiles GEM data to advance fungal metabolism research.

Area of Science:

  • Mycology
  • Computational Biology
  • Infectious Diseases

Background:

  • Fungi exhibit diverse roles, from nutrient cycling to industrial applications and causing human diseases.
  • Fungal pathogens can lead to superficial, subcutaneous, and systemic infections, necessitating research into disease development.
  • Genome-scale metabolic models (GEMs) are powerful tools for studying microbial metabolism and identifying therapeutic strategies.

Purpose of the Study:

  • To review published GEMs for human fungal pathogens.
  • To highlight significant contributions of GEMs in understanding fungal metabolism.
  • To discuss challenges and future directions for fungal GEM development.

Main Methods:

  • Literature review of published GEMs for human fungal pathogens.
  • Analysis of the applications and limitations of existing fungal GEMs.
  • Exploration of novel approaches for refining fungal GEMs.

Main Results:

  • Compilation of data from various fungal pathogen GEMs.
  • Demonstration of GEMs' utility in predicting metabolic capabilities and drug targets.
  • Identification of common challenges in fungal GEM construction and validation.

Conclusions:

  • GEMs are valuable for studying fungal pathogens and developing antifungal strategies.
  • Further refinement of GEMs is needed to fully exploit their potential in mycology.
  • This review provides a foundation for future research in fungal metabolic modeling.
Keywords:
fungigenome-scale metabolic modelpathogenvirulence

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