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◆ Nature Communications2026-03-16· Bacteroides fragilis

Dynamics of phage-host interactions in Bacteroides fragilis resolved by single-cell transcriptomics

Anika Gupta, Norma M. Morella, Dmitry Sutormin, Naisi Li, Karl D. Gaisser, Alexander Robertson, Yaroslav Ispolatov, Georg Seelig, Neelendu Dey, Anna Kuchina

原始摘要(英文原文)· Original abstract
The interactions between lytic phages and their hosts are typically studied in bulk culture, which obscures cell-cell differences in infection susceptibility or expression of protective factors. Here, we use bacterial single-cell RNA sequencing to profile the transcriptomes of ~50,000 cells from cultures of a human pathobiont, Bacteroides fragilis, infected with a lytic bacteriophage. From a single sampling, we quantified the asynchronous progression of phage infection in individual bacterial cells and reconstructed the infection timeline, characterizing both host and phage transcriptomic changes as infection unfolded. Further, we discovered phenotypic subpopulations of bacteria that remained uninfected. Each cell’s vulnerability to phage infection was influenced by expression of multiple genetic loci, most prominently phase-variable capsular polysaccharide (CPS) biosynthesis pathways and an operon predicted to encode fimbrial genes. These findings uncovered genome-wide phase variation and stochasticity that enable bacterial survival and re-growth without acquiring additional mutations. Overall, we establish bacterial single-cell RNA sequencing as a powerful platform for investigating the dynamics of host-phage interactions and revealing the roles of phase variation and stochasticity in bacterial defenses. Phage-bacteria interactions are typically studied in bulk culture, which obscures cell-cell differences. Here the authors study phage-bacteria interactions using single-cell transcriptomics, identifying cell subpopulations that resist infection through variable expression of multiple genes, without acquiring mutations.
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Dynamics of phage-host interactions in Bacteroides fragilis resolved by single-cell transcriptomics — 科研速览 Science Skim