文献类型：期刊文献

英文题名：The advances of strategies and technologies in high-throughput microbial culturomics

作者：Li, Zheng-Hui[1];Li, Shuang[2];Chen, Hai-Bo[2];Ji, Yi-Zhi[1];Zhang, Chong[2,3,4,5]

第一作者：Li, Zheng-Hui

通讯作者：Zhang, C[1];Ji, YZ[2]

机构：[1]Beijing Union Univ, Biochem Engn Coll, Beijing 100023, Peoples R China;[2]Tsinghua Univ, Minist Educ, Inst Biochem Engn, Key Lab Ind Biocatalysis,Dept Chem Engn, Beijing 100084, Peoples R China;[3]Tsinghua Univ, Ctr Synthet & Syst Biol, Beijing 100084, Peoples R China;[4]Beijing Key Lab Recombinant Prot & Biomfg, Beijing, Peoples R China;[5]State Key Lab Green Biomfg, Beijing, Peoples R China

第一机构：北京联合大学生物化学工程学院

通讯机构：[1]corresponding author), Univ Tsinghua, Room 607,Yingshi Bldg, Beijing 100084, Peoples R China;[2]corresponding author), Beijing Union Univ, Coll Biochem Engn, Beijing 100023, Peoples R China.|[1141726]北京联合大学生物化学工程学院;[11417]北京联合大学;

年份：2026

卷号：87

外文期刊名：BIOTECHNOLOGY ADVANCES

收录：;EI(收录号：20255219804817);Scopus(收录号：2-s2.0-105025678970);WOS:【SCI-EXPANDED(收录号:WOS:001653894600001)】；

基金：This work was supported by the Guangdong S & T Program (2024B1111130002) , and the R & D projects of Hebei Province (22375503D) .

语种：英文

外文关键词：Microbial Culturomics; High-throughput cultivation; Single-cell screening; Data-driven cultivation strategy

摘要：The growing demand for novel antibiotics, industrial enzymes, and environmentally sustainable biotechnological solutions is drawing increasing attention to more efficient strategies for microbial resource discovery across biomedical, industrial, and ecological domains. To meet this need, high-throughput microbial culturomics has emerged as a powerful strategy that integrates advanced cultivation platforms, diverse growth conditions, and rapid identification technologies. This review explores two principal paradigms within high-throughput microbial culturomics: the function-driven screening-first strategy and the enrichment-based cultivation-first strategy. Their technical foundations, application scenarios, and inherent limitations are examined in detail, providing a comparative analysis of their respective advantages and challenges. We further emphasize the importance of high-throughput identification methods, which play a crucial role in classifying isolates and revealing their functional potential. Ultimately, the review explores future directions for the development of automated, fully integrated cultivation platforms that integrate large-scale experimentation with data-driven optimization. By offering a structured comparison of culturomics strategies, integration pathways, and key obstacles, this review serves as a methodological reference for advancing microbial isolation, functional screening, and biotechnological innovation.