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Microfluidic Tools for Probing Fungal-Microbial Interactions at the Cellular Level

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Current advancements in fungal engineering technologies for Sustainable Development Goals.

Shilpa Garg¹, Minji Kim², David Romero-Suarez³

¹Technical University of Denmark, 2800 Kongens Lyngby, Denmark; University of Manchester, Manchester M13 9PT, United Kingdom.

Trends in Microbiology

|December 7, 2024

Summary

Fungal genomics and metabolic engineering offer powerful tools for sustainable agriculture and environmental solutions. Integrating these fields with AI can enhance crop resilience and ecosystem health.

Keywords:

artificial intelligence data science fungal genomics synthetic biology

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Area of Science:

Biotechnology
Mycology
Environmental Science

Background:

Fungi are crucial for addressing global challenges in agriculture, food production, sustainability, and climate change.
Fungal genomics and metabolic engineering are key areas in biotechnology with significant potential.

Purpose of the Study:

To review the transformative potential of integrating fungal genomics and metabolic engineering.
To explore AI-driven approaches for harnessing fungal capabilities for sustainable solutions.

Main Methods:

Fungal genomics: Analysis and manipulation of fungal genetic material for enhanced traits (pest resistance, nutrient absorption, stress tolerance).
Metabolic engineering: Altering fungal biochemical pathways for optimized production of valuable compounds (biofuels, pharmaceuticals, enzymes).
AI-driven integration of genomics and metabolic engineering techniques.

Main Results:

Enhanced desirable traits in fungi through genetic manipulation.
Optimized production of biofuels, pharmaceuticals, and industrial enzymes.
Development of sustainable agricultural practices, improved soil health, and ecosystem restoration through fungal applications.

Conclusions:

Integrative fungal genomics and metabolic engineering, powered by AI, offer innovative solutions for global challenges.
Harnessing filamentous and mycorrhizal fungi can lead to sustainable agriculture and environmental benefits.
Addressing scalability challenges is crucial for realizing the full potential of these technologies.