Clustering and Source Association of Clinical and Nonclinical Listeria monocytogenes Isolates, New York, USA, 2000-2021<sup>1</sup>.
Emerging infectious diseases·
- DOI
- 10.3201/eid3209.260289
- PMID
- 42661137
- PMCID
- —
- OpenAlex
- W7203611610
- Study type
- Genomic study
- Publisher
- Publisher unavailable
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The authors suggest that whole-genome sequencing may strengthen outbreak investigation and source attribution for L. monocytogenes and that produce-associated transmission may reflect distinct pathways.
Structured evidence summary
Research question
The study examined how Listeria monocytogenes clonal complexes and genetic markers relate to clinical versus nonclinical sources and to specific food categories over a multi-decade period in New York.
Study design
A retrospective genomic analysis of whole-genome sequencing data from human clinical and nonclinical L. monocytogenes isolates collected in New York during 2000–2021.
Population and setting
1,046 human clinical isolates and 1,332 nonclinical isolates of L. monocytogenes collected across New York, USA, between 2000 and 2021.
Main findings
Hypervirulent clonal complexes were associated with clinical isolates and hypovirulent clonal complexes with nonclinical isolates. Specific clonal complexes and genetic markers such as inlA premature stop codons were linked to particular food categories, including processed meat. In clusters containing food and later clinical isolates, the time between food and clinical isolation was significantly shorter for produce than for meat, dairy, or fish.
Public-health relevance
The authors suggest that whole-genome sequencing may strengthen outbreak investigation and source attribution for L. monocytogenes and that produce-associated transmission may reflect distinct pathways.
Important limitations
The summary is limited to the supplied single-article abstract and metadata; explicit limitations are not stated in the abstract, and the original paper is required for decision-grade interpretation.
GIDS interpretation
This is a genomic epidemiology and surveillance-oriented article on L. monocytogenes clustering and source attribution; the supplied metadata does not indicate any active GIDS signal related to it.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 9 auditable classifier relationships to diseases, places, topics, and study design.