Single-cell patterning and characterisation of antibiotic persistent bacteria using bio-sCAPA.

Abstract

In microbiology, accessing single-cell information within large populations is pivotal. Here we introduce bio-sCAPA, a technique for patterning bacterial cells in defined geometric arrangements and monitoring their growth in various nutrient environments. We demonstrate bio-sCAPA with a study of subpopulations of antibiotic-tolerant bacteria, known as persister cells, which can survive exposure to high doses of antibiotics despite lacking any genetic resistance to the drug. Persister cells are associated with chronic and relapsing infections, yet are difficult to study due in part to a lack of scalable, single-cell characterisation methods. As >10⁵ cells can be patterned on each template, and multiple templates can be patterned in parallel, bio-sCAPA allows for very rare population phenotypes to be monitored with single-cell precision across various environmental conditions. Using bio-sCAPA, we analysed the phenotypic characteristics of single <i>Staphylococcus aureus</i> cells tolerant to flucloxacillin and rifampicin killing. We find that antibiotic-tolerant <i>S. aureus</i> cells do not display significant heterogeneity in growth rate and are instead characterised by prolonged lag-time phenotypes alone.