BackgroundMicrobiota that co-enrich during efforts to recover pathogens from foodborne outbreaks interfere with efficient detection and recovery. Here, dynamics of co-enriching microbiota during recovery of Listeria monocytogenes from naturally contaminated ice cream samples linked to an outbreak are described for three different initial enrichment formulations used by the Food and Drug Administration (FDA), the International Organization of Standardization (ISO), and the United States Department of Agriculture (USDA). Enrichment cultures were analyzed using DNA extraction and sequencing from samples taken every 4 h throughout 48 h of enrichment. Resphera Insight and CosmosID analysis tools were employed for high-resolution profiling of 16S rRNA amplicons and whole genome shotgun data, respectively.ResultsDuring enrichment, other bacterial taxa were identified, including Anoxybacillus, Geobacillus, Serratia, Pseudomonas, Erwinia, and Streptococcus spp. Surprisingly, incidence of L. monocytogenes was proportionally greater at hour 0 than when tested 4, 8, and 12 h later with all three enrichment schemes. The corresponding increase in Anoxybacillus and Geobacillus spp.indicated these taxa co-enriched in competition with L. monocytogenes during early enrichment hours. L. monocytogenes became dominant after 24 h in all three enrichments. DNA sequences obtained from shotgun metagenomic data of Listeria monocytogenes at 48 h were assembled to produce a consensus draft genome which appeared to have a similar tracking utility to pure culture isolates of L. monocytogenes.ConclusionsAll three methods performed equally well for enrichment of Listeria monocytogenes. The observation of potential competitive exclusion of L. mono by Anoxybacillus and Geobacillus in early enrichment hours provided novel information that may be used to further optimize enrichment formulations. Application of Resphera Insight for high-resolution analysis of 16S amplicon sequences accurately identified L. monocytogenes. Both shotgun and 16S rRNA data supported the presence of three slightly variable genomes of L. monocytogenes. Moreover, the draft assembly of a consensus genome of L. monocytogenes from shotgun metagenomic data demonstrated the potential utility of this approach to expedite trace-back of outbreak-associated strains, although further validation will be needed to confirm this utility.Electronic supplementary materialThe online version of this article (doi:10.1186/s12866-016-0894-1) contains supplementary material, which is available to authorized users.

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A rapid assay for eubacterial species identification is described using high-resolution melt analysis to characterize PCR products. Unique melt profiles generated from multiple hypervariable regions of the 16S rRNA gene for 100 clinically relevant bacterial pathogens, including category A and B biothreat agents and their surrogates, allowed highly specific species identification.Rapid and accurate diagnostic tools are critical for infectious disease surveillance and early diagnosis of disease (8,12). A simple platform which could deliver broad-based screening and specific pathogen identification would be invaluable for the timely recognition of emerging and biothreat (BT) outbreaks, as well as commonly encountered clinical infections (2,7,9,11,12).We previously reported a probe-based PCR assay, which utilizes conserved and variable 16S rRNA gene sequences for initial broad-based eubacterial detection and subsequent identification of specific bacterial agents (11). The assay demonstrated high analytical sensitivity but was limited by an inability to differentiate closely related pathogens due to decreased specificity of the TaqMan probe chemistry and high sequence homology within selected hypervariable regions of the 16S rRNA gene. Probe-based amplicon characterization accordingly limits testing to a finite number of anticipated pathogens. Alternative strategies for amplicon analysis, such as sequencing and mass spectrometry, allow broader-scale product characterization but are costly, time-consuming, and lacking in throughput (1, 6). High-resolution melt analysis (HRMA) offers a simple, low-cost, closed-tube approach to amplicon analysis with the capacity for single-nucleotide discrimination and easy integration with PCR analysis (10). We report a unique strategy for the rapid, highly specific identification of BTrelated and non-BT-related bacterial pathogens which couples eubacterial PCR with HRMA.

The rapidly growing supplement industry operates without a formal premarket approval process. Consumers rely on product labels to be accurate and true. Those products containing live microbials report both identity and viability on most product labels. This study used next-generation sequencing technology as an analytical tool in conjunction with classic culture methods to examine the validity of the labels on supplement products containing live microbials found in the United States marketplace. Our results show the importance of testing these products for identity, viability, and potential contaminants, as well as introduce a new culture-independent diagnostic approach for testing these products.