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Phenome–Genome Profiling of Single Bacterial Cell by Raman‐Activated Gravity‐Driven Encapsulation and Sequencing
Author(s) -
Xu Teng,
Gong Yanhai,
Su Xiaolu,
Zhu Pengfei,
Dai Jing,
Xu Jian,
Ma Bo
Publication year - 2020
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.202001172
Subject(s) - phenome , genome , biology , phenotype , computational biology , cell , genetics , gene
The small size and low DNA amount of bacterial cells have hindered establishing phenome–genome links in a precisely indexed, one‐cell‐per‐reaction manner. Here, Raman‐Activated Gravity‐driven single‐cell Encapsulation and Sequencing (RAGE‐Seq) is presented, where individual cells are phenotypically screened via single‐cell Raman spectra (SCRS) in an aquatic, vitality‐preserving environment, then the cell with targeted SCRS is precisely packaged in a picoliter microdroplet and readily exported in a precisely indexed, “one‐cell‐one‐tube” manner. Such integration of microdroplet encapsulation to Raman‐activated sorting ensures high‐coverage one‐cell genome sequencing or cultivation that is directly linked to metabolic phenotype. For clinical Escherichia coli isolates, genome assemblies derived from precisely one cell via RAGE‐Seq consistently reach >95% coverage. Moreover, directly from a urine sample of urogenital tract infection, metabolic‐activity‐based antimicrobial susceptibility phenotypes and genome sequence of 99.5% coverage are obtained simultaneously from precisely one cell. This single‐cell global mutation map corroborates resistance phenotype and genotype, and unveils epidemiological features with high specificity and sensitivity. The ability to profile and correlate bacterial metabolic phenome and high‐quality genome sequences at one‐cell resolution suggests broad application of RAGE‐Seq.