Multilab Validation Report for the Verification and Subtyping of Listeria monocytogenes Using qPCR

Listeria monocytogenes (Lm) is a Gram-positive bacterium that causes invasive listeriosis, an illness with high mortality and hospitalization rates. Due to the severity of illness associated with Lm, rapid identification and characterization of isolates from foods and the food-processing environment are critical to properly identify and track the pathogen and quickly remove adulterated foods from the market. Prior methods can rely on time-consuming biochemical or sera-agglutination assays to perform these tasks. Development of a high-throughput method that would rapidly perform these tasks is critical to improve response to contamination events. Previously, a single laboratory validation of a qPCR-based method was presented that could rapidly verify Lm isolates and characterize them into six molecular serogroups. In the current study, a multi-laboratory validation (MLV) was performed to evaluate the reliability of the qPCR method for identification and serogrouping of Lm isolates. Sixteen collaborating laboratories independently analyzed a panel of 43 blinded isolates plus three control strains using the qPCR method. This panel was comprised of representatives for non-Listeria (n = 7), Listeria sp. (n = 8), and Lm (n = 28) strains. The Lm isolates contained representatives of the six serogroups: 2A, 2B, 2C, 4B, NT, and 4bV/IVb-v1, with five strains for each serogroup except 4bV/IVb-v1 (n = 3). The results generated by 16 laboratories showed high sensitivity, specificity, and accuracy, generally ≥97%, for both the genus-species and serogrouping qPCRs. Results from one laboratory lowered the sensitivity of the non-Listeria group to 93%. These results indicated the method was highly reliable. However, only the previously evaluated serogroups were tested within the MLV panel, though there is the potential for other serogroup results. Sequence Read Archive (SRA) files for Lm isolates were evaluated to determine the frequency of other potential serogroup profiles. This effort identified a low percentage of isolates with atypical qPCR serogroups (0.30%) that are consistent with Lm and were generally associated with lineage II and the natural environment. In summary, the results indicate that the proposed qPCR method is reliable and has a high degree of sensitivity, accuracy, and specificity, while also decreasing hands-on analysis time and increasing throughput of the analysis.