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Updated: Oct 22, 2025

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Utilizing Big Data to Identify Tiny Toxic Components: Digitalis.

Elizabeth Sage Hunter1, Robert Literman1, Sara M Handy1

  • 1Center for Food Safety and Applied Nutrition, Office of Regulatory Science, U.S. Food and Drug Administration, College Park, MD 20740, USA.

Foods (Basel, Switzerland)
|August 27, 2021
PubMed
Summary
This summary is machine-generated.

This study shows shallow genome sequencing can rapidly detect toxic *Digitalis* contamination in dietary supplements. Genomic methods reliably identified *Digitalis* at the genus and species level, even at low concentrations.

Keywords:
Digitalisdietary supplementsgenome skimmingtoxic botanicals

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Area of Science:

  • Genomics
  • Bioinformatics
  • Pharmacognosy

Background:

  • The botanical genus *Digitalis* contains toxic and medicinal compounds with a narrow therapeutic range.
  • Contamination of dietary supplements with *Digitalis* species, like *Digitalis lanata*, poses a significant health risk.
  • Previous detection methods relied on chemical analysis, which can be time-consuming.

Purpose of the Study:

  • To evaluate the efficacy of shallow genome sequencing strategies for rapid detection of *Digitalis* contamination in dietary supplements.
  • To develop and validate a genomic approach for identifying *Digitalis* at both genus and species levels.

Main Methods:

  • Utilized a modified Site Identification from Short Read Sequences (SISRS) bioinformatics pipeline with whole-genome sequence data.
  • Generated genus-level and species-informative single nucleotide polymorphisms (SNPs).
  • Simulated contamination by spiking varying percentages (0-10%) of *Digitalis* whole-genome sequence data into common dietary supplement ingredients.

Main Results:

  • Successfully generated over 2 million genus-level SNPs and species-informative SNPs.
  • Reliably detected *Digitalis* at the genus level in simulated contamination scenarios.
  • Effectively discriminated between different *Digitalis* species, even at low contamination levels.

Conclusions:

  • Shallow genome sequencing is a rapid and reliable method for detecting toxic botanical species like *Digitalis* in food products and dietary supplements.
  • Genomic methods offer a powerful alternative to traditional chemical analyses for ensuring product safety.
  • This work provides a framework for developing novel DNA-based assays for botanical contaminant detection.