Abstract
AbstractIdentification of chemical toxins from complex or highly processed foods can present ‘needle in the haystack’ challenges for chemists. Metagenomic data can guide chemical toxicity evaluations with DNA-based description of the wholistic composition (bacterial, eukaryotic, protozoal, viral, and antimicrobial resistance) of any food suspected to harbor toxins, allergens, or pathogens. This approach can focus chemistry-based diagnostics, improve risk assessment, and address data gaps. There is increasing recognition that simultaneously co-occurring mycotoxins, either from single or multiple species, can impact dietary toxicity. Here we evaluate an aflatoxin contaminated kibble with known levels of specific mycotoxins and demonstrate that the abundance of DNA from putative aflatoxigenicAspergillusspp. correlated with levels of aflatoxin quantified by Liquid Chromatography Mass Spectrometry (LCMS). Metagenomic data also identified an expansive range of co-occurring fungal taxa which may produce additional mycotoxins. Metagenomic data paired with chemical data provides a novel modality to address current data gaps pertaining to mycotoxin toxicity exposures, toxigenic fungal taxonomy, and mycotoxins of emerging concern.
Publisher
Cold Spring Harbor Laboratory
Reference41 articles.
1. Andrea Ottesen AT , James R. White , Michael J. Newell , Donna Pahl , Eric W. Brown , Steven Musser , Christopher Walsh . Bacteria of tomatoes managed with well water and pond water: Impact of agricultural water sources on carposphere microbiota. International Journal of Environmental & Agriculture Research. 2016;2(7).
2. Metagenomics for Clinical Infectious Disease Diagnostics Steps Closer to Reality
3. Quasimetagenomic source tracking of Listeria monocytogenes from naturally contaminated ice cream
4. Enrichment dynamics of Listeria monocytogenes and the associated microbiome from naturally contaminated ice cream linked to a listeriosis outbreak