Application of Quasimetagenomics Methods to Define Microbial Diversity and SubtypeListeria monocytogenesin Dairy and Seafood Production Facilities
Authors: Kocurek Brandon , Ramachandran Padmini , Grim Christopher J. , Morin Paul , Howard Laura , Ottesen Andrea , Timme Ruth , Leonard Susan R. , Rand Hugh , Strain Errol , Tadesse Daniel , Pettengill James B. , Lacher David W. , Mammel Mark , Jarvis Karen G. 
Published: November 2022

ABSTRACTMicroorganisms frequently colonize surfaces and equipment within food production facilities.Listeria monocytogenesis a ubiquitous foodborne pathogen widely distributed in food production environments and is the target of numerous control and prevention procedures. Detection ofL. monocytogenesin a food production setting requires culture dependent methods, but the complex dynamics of bacterial interactions within these environments and their impact on pathogen detection remains largely unexplored. To address this challenge, we applied both 16S rRNA and shotgun quasimetagenomic (enriched microbiome) sequencing of swab culture enrichments from seafood and dairy production environments. Utilizing 16S rRNA amplicon sequencing, we observed variability between samples taken from different production facilities and a distinctive microbiome for each environment. With shotgun quasimetagenomic sequencing, we were able to assembleL. monocytogenesmetagenome assembled genomes (MAGs) and compare these MAGSs to their previously sequenced whole genome sequencing (WGS) assemblies, which resulted in two polyphyletic clades (lineages I and II). Using these same datasets together within silicodownsampling to produce a titration series of proportional abundances ofL. monocytogenes, we were able to begin to establish limits forListeriadetection and subtyping using shotgun quasimetagenomics. This study contributes to the understanding of microbial diversity within food production environments and presents insights into how many reads or relative abundance is needed in a metagenome sequencing dataset to detect, subtype, and source track at a SNP level, as well as providing an important foundation for utilizing metagenomics to mitigate unfavorable occurrences along the farm to fork continuum.IMPORTANCEIn developed countries, the human diet is predominantly food commodities, which have been manufactured, processed, and stored in a food production facility. It is well known that the pathogenListeria monocytogenesis frequently isolated from food production facilities and can cause serious illness to susceptible populations. Multistate outbreaks ofL. monocytogenesover the last 10 years have been attributed to food commodities manufactured and processed in production facilities, especially those dealing with dairy products such as cheese and ice cream. A myriad of recalls due to possibleL. monocytogenescontamination have also been issued for seafood commodities originating from production facilities. It is critical to public health that the means of growth, survival and spread ofListeriain food production ecosystems is investigated with developing technologies, such as 16S rRNA and quasimetagenomic sequencing, to aid in the development of effective control methods.