收藏切换
Research progress of artificial intelligence in the development and application of microbial strains
收藏切换
PDF
Xiaoyu ZHOU, Yufei ZHANG, Dingding YUAN, Lihua YAO, Bin HE
Acta Microbiologica Sinica | 2026, 66(4) : 1554 - 1568
Less
收藏切换
Acta Microbiologica Sinica | 2026, 66(4): 1554-1568
Review
Research progress of artificial intelligence in the development and application of microbial strains
Full
Xiaoyu ZHOU, Yufei ZHANG, Dingding YUAN, Lihua YAO, Bin HE
Affiliations
  • College of Life Sciences, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China
Published: 2026-04-04 doi: 10.13343/j.cnki.wsxb.20250682
Outline
收藏切换

Microorganisms, as the oldest and most diverse life forms on Earth, possess significant development value due to their differentiated metabolic potential and biosynthetic capabilities, serving as core resources for the development of novel drugs and natural active products. Currently, the deep integration of artificial intelligence (AI) with microbial strain development is driving a paradigm shift in life sciences from “empirical screening” to “rational design”. This shift is driven both by the limitations of conventional research methods in addressing the complexity of microbial resources and by the unique advantages of AI in multi-omics data analysis, model prediction, and experimental process optimization. This article systematically reviews the roles of AI in the development and application of microbial strains, covering four aspects: strain breeding, metabolite development, disease diagnosis and treatment, and xenobiotic synthesis. Additionally, it discusses the core advantages and existing limitations of AI in the strain development process. In summary, through automated modeling and scientific prediction, AI not only accelerates the efficiency of microbial strain development but also provides multi-dimensional optimization strategies, serving as a core driver for technological innovation. The integration of AI is expected to break through traditional industrial bottlenecks and promote the sustainable development of the microbial industry.

artificial intelligence  /  strain breeding  /  metabolite development  /  disease diagnosis and treatment  /  xenobiotic synthesis
Xiaoyu ZHOU, Yufei ZHANG, Dingding YUAN, Lihua YAO, Bin HE. Research progress of artificial intelligence in the development and application of microbial strains[J]. Acta Microbiologica Sinica, 2026 , 66 (4) : 1554 -1568 . DOI: 10.13343/j.cnki.wsxb.20250682
  • National Natural Science Foundation of China(32260017)
  • National Natural Science Foundation of China(32560212)
  • National College Students’ Innovation and Entrepreneurship Training Program(202511318025)
  • Jiangxi Provincial Natural Science Foundation(20242BAB25334)
Year 2026 volume 66 Issue 4
PDF
187
85
Cite this Article
BibTeX
Article Info
doi: 10.13343/j.cnki.wsxb.20250682
  • Receive Date:2025-09-05
  • Online Date:2026-04-14
  • Published:2026-04-04
Article Data
Affiliations
History
  • Received:2025-09-05
  • Accepted:2026-02-04
Funding
National Natural Science Foundation of China(32260017)
National Natural Science Foundation of China(32560212)
National College Students’ Innovation and Entrepreneurship Training Program(202511318025)
Jiangxi Provincial Natural Science Foundation(20242BAB25334)
Affiliations
    College of Life Sciences, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China

Corresponding:

E-mail: HE Bin,
References
Share
https://castjournals.cast.org.cn/joweb/wswxb/EN/10.13343/j.cnki.wsxb.20250682
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT