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Improving the odds: Artificial intelligence and the great plate count anomaly.
1Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands.
Microbial Biotechnology
|August 31, 2024
Summary
Artificial intelligence (AI) can help overcome the great plate count anomaly, enabling the cultivation of previously uncultured bacteria. This advances our understanding of bacterial physiology and unlocks new biotechnological applications.
Area of Science:
- Microbiology
- Bioinformatics
- Biotechnology
Background:
- The great plate count anomaly highlights a significant gap between environmental bacteria detected by DNA sequencing and those successfully cultured.
- This discrepancy hinders fundamental research into bacterial physiology and limits the biotechnological exploitation of the vast majority of uncultured microbes.
Purpose of the Study:
- To explore the potential of artificial intelligence (AI) in addressing the great plate count anomaly.
- To discuss how AI can enhance bacterial isolation strategies and guide the development of optimal cultivation conditions.
Main Methods:
- Leveraging big sequence data as a foundation for AI applications.
- Analyzing AI's current and potential roles in improving bacterial isolation success rates.
Main Results:
- AI offers a transformative approach to bridging the gap between sequenced and cultured bacteria.
- AI can predict promising media and conditions for cultivating previously uncultured microorganisms.
Conclusions:
- AI is a pivotal tool for overcoming the great plate count anomaly.
- AI-driven insights can optimize resource allocation for bacterial isolation, accelerating discovery and biotechnological innovation.
