计算生物学
生物
鉴定(生物学)
基因组
活力测定
细胞
计算机科学
遗传学
基因
植物
作者
Jia Zhang,Lihui Ren,Lei Zhang,Yanhai Gong,Teng Xu,Xiaohang Wang,Cheng Guo,Lei Zhai,Xuejian Yu,Ying Li,Pengfei Zhu,Rongze Chen,Xiaoyan Jing,Gongchao Jing,Shiqi Zhou,Xu Mingyue,Chen Wang,Changkai Niu,Yuanyuan Ge,Bo Ma
出处
期刊:iMeta
[Wiley]
日期:2023-05-25
卷期号:2 (3)
被引量:15
摘要
Abstract Rapid expansion of the probiotics industry demands fast, sensitive, comprehensive, and low‐cost strategies for quality assessment. Here, we introduce a culture‐free, one‐cell‐resolution, phenome‐genome‐combined strategy called Single‐Cell Identification, Viability and Vitality tests, and Source‐tracking (SCIVVS). For each cell directly extracted from the product, the fingerprint region of D 2 O‐probed single‐cell Raman spectrum (SCRS) enables species‐level identification with 93% accuracy, based on a reference SCRS database from 21 statutory probiotic species, whereas the C–D band accurately quantifies viability, metabolic vitality plus their intercellular heterogeneity. For source‐tracking, single‐cell Raman‐activated Cell Sorting and Sequencing can proceed, producing indexed, precisely one‐cell‐based genome assemblies that can reach ~99.40% genome‐wide coverage. Finally, we validated an integrated SCIVVS workflow with automated SCRS acquisition where the whole process except sequencing takes just 5 h. As it is >20‐fold faster, >10‐time cheaper, vitality‐revealing, heterogeneity‐resolving, and automation‐prone, SCIVVS is a new technological and data framework for quality assessment of live‐cell products.