Environmental microbial community signatures associated with Listeria spp. detection in German meat processing...

Listeria monocytogenes can persist in niches of meat processing environments despite routine cleaning and disinfection. Its persistence may depend not only on stress tolerance but also on interactions with resident microbial communities, which may promote or inhibit survival. However, these ecological relationships remain poorly understood. We combined 16S rRNA V3/V4 amplicon sequencing, culture-based detection, and multilocus sequence typing (MLST) to characterize microbial communities in six German meat processing facilities over one year. We examined associations among community structure, sampling sites, and the occurrence of Listeria spp., including L. monocytogenes. Microbial communities were dominated by core genera typical of food-processing environments, particularly Pseudomonas spp. and Acinetobacter spp., but differed significantly among facilities (PERMANOVA, P = 0.001; pairwise R² = 0.023-0.079), indicating facility-specific communities. Culture-based analyses detected Listeria spp. in 51 of 370 environmental samples (13.8%), mainly from drains (44/51, 86.3%). L. monocytogenes was detected in five of six facilities, with 19 of 21 isolates originating from drains (90.5%). MLST of 74 typeable L. monocytogenes isolates revealed high diversity, comprising 21 sequence types across 15 clonal complexes, with lineage II predominating (86.5%). Overall microbial community composition was significantly associated with Listeria spp. and L. monocytogenes presence (PERMANOVA, P = 0.001; R² = 0.0137 and 0.0083). In drains, amplicon sequence variants (ASVs) assigned to the genera Acinetobacter, Rhizorhapis, and Vagococcus showed positive associations with Listeria spp.-positive samples. Together, these findings suggest that drains are key ecological niches for Listeria spp. and that associated taxa may indicate drain communities linked to Listeria spp. recovery.

Listeria monocytogenes is a major foodborne pathogen that can persist in meat processing environments despite routine cleaning and disinfection. Resident microbial communities may influence its survival, but longitudinal studies linking those communities with culture-based Listeria spp. detection remain limited. Here, we characterized microbial communities in six German meat processing facilities over 1 year using 16S rRNA gene amplicon sequencing and culture-based Listeria spp. detection, and MLST of L. monocytogenes isolates. We identified facility-specific microbial communities, identified floor drains as key niches for Listeria spp., and observed repeated recovery of different L. monocytogenes sequence types across facilities. In drains, ASVs assigned to the genera Acinetobacter, Rhizorhapis, and Vagococcus were positively associated with culture-positive samples, identifying candidate taxa that may reflect microbial conditions associated with Listeria spp. recovery. These findings highlight the importance of considering not only whether Listeria spp. are detected but also the resident microbial communities that may support their fitness.