Monitoring the microbiome for food safety and quality using deep shotgun sequencing.

In this work, we hypothesized that shifts in the food microbiome can be used as an indicator of unexpected contaminants or environmental changes. To test this hypothesis, we sequenced the total RNA of 31 high protein powder (HPP) samples of poultry meal pet food ingredients. We developed a microbiome analysis pipeline employing a key eukaryotic matrix filtering step that improved microbe detection specificity to >99.96% during in silico validation. The pipeline identified 119 microbial genera per HPP sample on average with 65 genera present in all samples. The most abundant of these were Bacteroides, Clostridium, Lactococcus, Aeromonas, and Citrobacter. We also observed shifts in the microbial community corresponding to ingredient composition differences. When comparing culture-based results for Salmonella with total RNA sequencing, we found that Salmonella growth did not correlate with multiple sequence analyses. We conclude that microbiome sequencing is useful to characterize complex food microbial communities, while additional work is required for predicting specific species' viability from total RNA sequencing.

Food authentication from shotgun sequencing reads with an application on high protein powders.

Here we propose that using shotgun sequencing to examine food leads to accurate authentication of ingredients and detection of contaminants. To demonstrate this, we developed a bioinformatic pipeline, FASER (Food Authentication from SEquencing Reads), designed to resolve the relative composition of mixtures of eukaryotic species using RNA or DNA sequencing. Our comprehensive database includes >6000 plants and animals that may be present in food. FASER accurately identified eukaryotic species with 0.4% median absolute difference between observed and expected proportions on sequence data from various sources including sausage meat, plants, and fish. FASER was applied to 31 high protein powder raw factory ingredient total RNA samples. The samples mostly contained the expected source ingredient, chicken, while three samples unexpectedly contained pork and beef. Our results demonstrate that DNA/RNA sequencing of food ingredients, combined with a robust analysis, can be used to find contaminants and authenticate food ingredients in a single assay.

Genotyping of DNA using sequence-specific methyltransferases followed by immunochemical detection.

Modern molecular genetics relies on the ability to map the positions of genes on chromosomes, relative to known DNA markers. The first such DNA markers described were Restriction Fragment Length Polymorphisms, but any restriction endonuclease used for RFLP mapping is just one member of a restriction-modification pair. For each restriction endonuclease, there is a companion methyltransferase (MTase) that has the same DNA sequence specificity. Therefore, in principle, it should be possible to use MTases rather than restriction enzymes to detect polymorphic sites in DNA. We have used sequence-specific DNA MTases to detect polym orphisms in closely related viral pathogens. If at least one MTase recognition site is present in PCR-amplified DNA, then methyl groups are incorporated; if no MTase site is present, then methyl groups are not incorporated. When several different sequence-specific DNA MTase reactions are carried out, the pattern of methyl incorporation defines a DNA MTase genotype. DNA MTase Genotyping (DMG) can be used to rapidly diagnose heritable or infectious diseases, to immunochemically detect DNA at defined 2 to 8 base pair sites, or to characterize the amplicons by constructing ordered maps.