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CDC: genome sequencing and NARMS/PulseNet faster outbreak detection
Summary
CDC officials credited transitions to whole‑genome sequencing and tighter NARMS–PulseNet integration with earlier detection of smaller and geographically dispersed outbreaks, citing specific use cases including establishment of azithromycin breakpoints for Shigella and a Salmonella outbreak linked to moringa powder with NDM‑1.
Dr. Gwen Biggerstaff said that PulseNet’s shift from pulsed‑field gel electrophoresis to whole‑genome sequencing (WGS) and improved integration with the National Antimicrobial Resistance Monitoring System (NARMS) have been transformational for outbreak detection.
Biggerstaff described how WGS upgrades let public health laboratories detect smaller and geographically dispersed clusters sooner and identify resistance markers within pathogen genomes. She said NARMS’s One Health data—from human clinical isolates, retail meats and food animals—helps clinicians choose treatments, supports regulatory decisions, and informs prevention activities across the food system.
As specific examples, Biggerstaff cited 2021 collaborative work establishing clinical breakpoints for azithromycin resistance in Shigella, which improved laboratory testing for resistance, and a Salmonella outbreak linked to moringa powder that carried an NDM‑1 gene, a marker of high antimicrobial resistance, demonstrating how linked systems can detect unusual vehicles of resistant infection.
Biggerstaff said NARMS performed genomic analysis on more than 96,000 isolates in 2025, up from fewer than 19,000 isolates five years earlier, reflecting rapid expansion of genomic capacity and data integration.
