Metabolism-driven and high-efficiency mining of ethanol-tolerant microorganisms from pit mud microbiota using Raman-activated cell sorting

A metabolism-driven strategy was developed for mining ethanol-tolerant microbes. • Successfully enriched high ethanol-tolerant strains from pit mud. • All isolated strains showed high tolerance (RTI > 50%) to 8% ethanol. • Transcriptome revealed distinct ethanol adaptation strategies in strains F4 and F5. Mining stress-tolerant microorganisms from complex microbiomes is pivotal for the development of robust microbial chassis. However, conventional culture-first methods were laborious, low throughput, and inefficient for high-performance cells. Here, we developed and applied a high-throughput microfluidic optical tweezers-based Raman-activated cell sorting (RACS) system coupled with deuterium oxide (D 2 O)-labelled single-cell Raman spectroscopy (SCRS). Leveraging a high screening throughput of ∼ 2,400 cells/h and a sorting accuracy of 91.3%, we successfully and efficiently enriched highly ethanol-tolerant cells from pit mud microbiomes. In a single sorting run, the system enriched 177 highly metabolic-active cells under ethanol stress before cultivation. Targeted cultivation on MRS medium yielded 6 isolates, all showing strong tolerance to 8% (v/v) ethanol in a 7 h SCRS-based assessment, whereas conventional culture-first screening achieved only 2 out 9 (22.2%) success. Genome sequencing and strain-specific transcriptomic profiling further provided molecular support for the ethanol-tolerant phenotypes of Lactiplantibacillus plantarum F4 (Raman Tolerance Index = 85.1 ± 3.41%) and Staphylococcus epidermidis F5 (RTI = 62.2 ± 1.09%). These molecular responses support the physiological relevance of the Raman screening signal. Overall, this integrated workflow achieved a 4.5-fold improvement in enrichment, and a 6.86-fold increase in assessment efficiency compared with conventional methods. Therefore, by sorting target cells based on metabolic activity in a screen-before-culture manner, D 2 O-RACS is a powerful and versatile platform for efficient mining of stress-tolerant cells. Download: Download high-res image (192KB) Download: Download full-size image