Bacterial droplet-based single-cell RNA-seq reveals antibiotic-associated heterogeneous cellular states

基于细菌液滴的单细胞 RNA 测序揭示抗生素相关的异质细胞状态

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作者:Peijun Ma, Haley M Amemiya, Lorrie L He, Shivam J Gandhi, Robert Nicol, Roby P Bhattacharyya, Christopher S Smillie, Deborah T Hung

Abstract

We introduce BacDrop, a highly scalable technology for bacterial single-cell RNA sequencing that has overcome many challenges hindering the development of scRNA-seq in bacteria. BacDrop can be applied to thousands to millions of cells from both gram-negative and gram-positive species. It features universal ribosomal RNA depletion and combinatorial barcodes that enable multiplexing and massively parallel sequencing. We applied BacDrop to study Klebsiella pneumoniae clinical isolates and to elucidate their heterogeneous responses to antibiotic stress. In an unperturbed population presumed to be homogeneous, we found within-population heterogeneity largely driven by the expression of mobile genetic elements that promote the evolution of antibiotic resistance. Under antibiotic perturbation, BacDrop revealed transcriptionally distinct subpopulations associated with different phenotypic outcomes including antibiotic persistence. BacDrop thus can capture cellular states that cannot be detected by bulk RNA-seq, which will unlock new microbiological insights into bacterial responses to perturbations and larger bacterial communities such as the microbiome.

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