2025 AOAC INTERNATIONAL Annual Meeting & Exposition

August 26, 2025

San Diego, United States

Would you like to see your presentation here, made available to a global audience of researchers?
Add your own presentation or have us affordably record your next conference.

A new, PCR-based alternative typing method for L. monocytogenes (LM) strain differentiation addresses the concerns food producers have with whole-genome sequence (WGS)-based approaches (e.g., cgMLST). Specifically, this method is (i) not WGS-based, (ii) fast (results available within 24-72 h), (iii) cost-effective, and (iv) simple (easy PCR workflow followed by automated bioinformatics). While it is not a WGS-based method, comparison to historic WGS data (e.g., GenomeTrakr) can be performed via an in silico PCR analysis (i.e., the WGS data is analyzed to predict the PCR result). Conversely, data from the alternative method cannot be converted to a WGS file. Results from a comparison study between this and an rRNA fingerpinting-based typing method support this new method has greater discriminatory power. Additionally, end users of this alternative typing method are able to access their customer-specific database at any time and are notified of new results as soon as they are uploaded, thus allowing for easy and fast trend analysis. To date, this typing method has provided key insights into LM-positive samples. Notably, a persistent strain issue was identified by comparing newly isolated LM to historic data typed using WGS. Another dataset showed LM isolates from the same environment were clustering with one of two groups, which supported the presence of two unique strains. By adding the laboratory control strain to the customer’s database, each new dataset is automatically evaluated for potential laboratory contamination. Overall, this new alternative typing method has been a valuable tool for investigating and controlling LM.

Downloads

SlidesTranscript English (automatic)

Next from 2025 AOAC INTERNATIONAL Annual Meeting & Exposition

Leveraging Limited Sample Models (LSM) for AI-Driven Analytical Automation in Food Safety and Quality Control

Leveraging Limited Sample Models (LSM) for AI-Driven Analytical Automation in Food Safety and Quality Control

2025 AOAC INTERNATIONAL Annual Meeting & Exposition

Lalin Theverapperuma

26 August 2025

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Presentations
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2026 Underline - All rights reserved