Rapid and quantitative measurement of bacteriophage infectivity via fully automated droplet digital PCR

Yanfei Liu1,2, Huiwei Zhao3,4, Xinyue Cao5,6

  • 1Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, Liaoning, China.

Nature Communications
|July 30, 2026
PubMed

Insights

Digital phage susceptibility testing (dPhaST) rapidly quantifies phage efficacy against multidrug-resistant infections. This automated method measures DNA release to identify effective therapeutic phages within hours, improving treatment selection.

Area of Science:

  • Microbiology
  • Molecular Biology
  • Bioinformatics

Background:

  • Phage therapy offers a promising alternative for treating multidrug-resistant infections.
  • Clinical translation is hindered by the absence of rapid, standardized methods for selecting effective therapeutic phages.
  • Current methods for assessing phage efficacy are often slow and lack sensitivity for heterogeneous responses.

Purpose of the Study:

  • To introduce digital phage susceptibility testing (dPhaST), an automated workflow for rapid and accurate quantification of phage lytic activity.
  • To establish dPhaST as a reliable method for selecting therapeutic phages against diverse bacterial pathogens.
  • To characterize phage-host interactions and bacterial defense mechanisms using dPhaST.

Main Methods:

  • Development of an automated droplet digital PCR (ddPCR) workflow (dPhaST).
  • Quantification of phage-induced bacterial DNA release as a marker of lysis.
  • Targeting conserved 16S rRNA bacterial genes for broad pathogen detection.
  • Comparison of dPhaST results with traditional spot tests across numerous phage-host combinations.

Main Results:

  • dPhaST accurately quantifies phage lytic activity within 3 hours across diverse bacterial pathogens.
  • Achieved 95.9% concordance with spot tests, while also resolving weak or heterogeneous lysis.
  • Demonstrated robustness in early infection stages and tolerance to phage cross-contamination.
  • Successfully captured phage interactions with bacterial defense systems like CRISPR-Cas.

Conclusions:

  • Automated digital quantification via dPhaST enables rapid and mechanistically informative profiling of phage lytic efficacy.
  • dPhaST facilitates faster and more precise selection of therapeutic phages for multidrug-resistant infections.
  • This method holds significant potential for advancing phage therapy clinical translation across Gram-positive and Gram-negative pathogens.

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