Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands.
Microb Biotechnol. 2024 Sep;17(9):e70004. doi: 10.1111/1751-7915.70004.
Next-generation DNA sequencing has shown that the great plate count anomaly, that is, the difference between bacteria present in the environment and those that can be obtained in culture from that environment, is even greater and more persisting than initially thought. This hampers fundamental understanding of bacterial physiology and biotechnological application of the unculture majority. With big sequence data as foundation, artificial intelligence (AI) may be a game changer in bacterial isolation efforts and provide directions for the cultivation media and conditions that are most promising and as such be used to canalize limited human and financial resources. This opinion paper discusses how AI is or can be used to improve the success of bacterial isolation.
下一代 DNA 测序表明，巨大的计数异常（plate count anomaly），即环境中存在的细菌与从该环境中培养获得的细菌之间的差异，比最初想象的更大且更持久。这阻碍了对细菌生理学的基本理解和对未培养多数细菌的生物技术应用。以大量序列数据为基础，人工智能（AI）可能会改变细菌分离的努力，并为最有前途的培养介质和条件提供方向，从而引导有限的人力和财力。本文讨论了 AI 如何或已经被用于提高细菌分离的成功率。
