Application of shotgun metagenomics to smoked salmon experimentally spiked: Comparison between sequencing and microbiological data using different bioinformatic approaches

Abstract

The aims of this study were i) to evaluate the possibility to detect and possibly quantify microorganisms belonging to different domains experimentally spiked in smoked salmon at known concentrations using shotgun metagenomics; ii) to compare the sequencing results using four bioinformatic tools. The salmon was spiked with six species of bacteria, including potential foodborne pathogens, as well as Cryptosporidium parvum, Saccharomyces cerevisiae and Bovine alphaherpesvirus 1. After spiking, the salmon was kept refrigerated before DNA extraction, library preparation and sequencing at 7 Gbp in paired ends at 150 bp. The bioinformatic tools named MG-RAST, OneCodex, CosmosID and MgMapper were used for the sequence analysis and the data provided were compared using STAMP. All bacteria spiked in the salmon were identified using all bioinformatic tools. Such tools were also able to assign the higher abundances to the species Propionibacterium freudenreichii spiked at the highest concentration in comparison to the other bacteria. Nevertheless, different abundances were quantified for bacteria spiked in the salmon at the same cell concentration. Cryptosporidium parvum was detected by all bioinformatics tools, while Saccharomyces cerevisiae by MG-RAST only. Finally, the DNA virus was detected by CosmosID and OneCodex only. Overall, the results of this study showed that shotgun metagenomics can be applied to detect microorganisms belonging to different domains in the same food sample. Nevertheless, a direct correlation between cell concentration of each spiked microorganism and number of corresponding reads cannot be established yet.

Next-generation diagnostics: virus capture facilitates a sensitive viral diagnosis for epizootic and zoonotic pathogens including SARS-CoV-2

“… BoDV 0.75% 85.2% 183,579 Schlottau et al, in preparation L02913 Brain, Rattus sp. VSBV-1 0.0004% 0.6% 42,793 Schlottau et al, in preparation L02456 Soft Palate Cells, Bos taurus FMDV 0.002% 2.0% 719,153 [ 22 ] L02568* Food matrix spiked with a mock community BHV 0.0003% 0.04% 181,338 [ 23 ] L02569 BVDV BDV 0% 0.00001% 0.007% 0.01% 506,465 L02762* Spleen, Sus scrofa ASFV 0.05% 20.7% 1,353,258 Unpublished L02651 Organ pool, Gallus gallus IAV (H5N8) 0.01% 70.1% 280,247 Unpublished L03706 Brain, Gallus gallus IAV (H3N1) 0.5% 77.0% 317,862 Unpublished L03827 Nasal wash, Mustela putorius SARS-CoV-2 0.3% 53.8% 1248 [ 24 ] L03828 Nasal wash, Mustela putorius SARS-CoV-2 0% 9.1% 449 [ 24 ] L03829 Nasal conchae, Mustela putorius SARS-CoV-2 0.00004% 0.001% 194,891 [ 24 ] L03830 Nasal conchae, Mustela putorius …”

Non-Targeted RNA Sequencing: Towards the Development of Universal Clinical Diagnosis Methods for Human and Veterinary Infectious Diseases

“…These artificial pieces of RNA are normally a mixture of synthetic RNA transcripts of known sequence, concentration, and abundance. The spike-in sequences should be unique and different from both the host and pathogens of interest [ 104 ].…”