转录组
生物
微生物群
RNA序列
人口
基因
计算生物学
核糖体RNA
基因表达谱
细菌
遗传学
核糖核酸
基因组
基因表达
人口学
社会学
作者
Zhonglin Xu,Yuting Wang,Kuanwei Sheng,Raoul G. Rosenthal,Nan Liu,Xiaoting Hua,Tianyu Zhang,Jiaye Chen,Mengdi Song,Yuexiao Lv,Shunji Zhang,Yingjuan Huang,Zhaolun Wang,Ting Cao,Yifei Shen,Yan Jiang,Yunsong Yu,Yu Chen,Guoji Guo,Peng Yin,David A. Weitz,Wang Zhang
标识
DOI:10.1038/s41467-023-40137-9
摘要
Bacteria colonize almost all parts of the human body and can differ significantly. However, the population level transcriptomics measurements can only describe the average bacteria population behaviors, ignoring the heterogeneity among bacteria. Here, we report a droplet-based high-throughput single-microbe RNA-seq assay (smRandom-seq), using random primers for in situ cDNA generation, droplets for single-microbe barcoding, and CRISPR-based rRNA depletion for mRNA enrichment. smRandom-seq showed a high species specificity (99%), a minor doublet rate (1.6%), a reduced rRNA percentage (32%), and a sensitive gene detection (a median of ~1000 genes per single E. coli). Furthermore, smRandom-seq successfully captured transcriptome changes of thousands of individual E. coli and discovered a few antibiotic resistant subpopulations displaying distinct gene expression patterns of SOS response and metabolic pathways in E. coli population upon antibiotic stress. smRandom-seq provides a high-throughput single-microbe transcriptome profiling tool that will facilitate future discoveries in microbial resistance, persistence, microbe-host interaction, and microbiome research.
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