ArticleFood chemistry. Molecular sciences2025
A duplex sequencing approach for high-sensitivity detection of genome-edited plants.
Article in Food chemistry. Molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Enhancing low-level genome-edited crop detection and identification in food mixtures using nanopore adaptive sampling: Rice-Soybean mixture as proof-of-concept.NPJ science of food · 2026Article
- RiSpy: a feature selection-based fingerprinting framework for accurate identification of genome-edited rice lines.Briefings in bioinformatics · 2026Article
- Detection of mutations: from Ames test to duplex sequencing.Frontiers in molecular biosciences · 2026Review
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we have evaluated a targeted high-throughput massive parallel sequencing approach for detecting single nucleotide mutations or small genomic changes generated by new genomic techniques (NGT). We used unique molecular identifiers (UMIs) for the quantification of the mutant alleles and duplex sequencing to confirm a mutation on both strands to avoid polymerase chain reaction (PCR) artefacts or sequencing miss-calls. We tested the approach in blinded analyses on a set of mixed NGT-modified tomato lines and identified each single nucleotide mutation or small insert/deletion (InDel) down to a 0.1 % level. To our knowledge, this is the first performance evaluation of a duplex sequencing approach for detecting and quantifying small NGT DNA changes without a priori knowledge of the mutation type and position in a target region. Our study advances the scientific discussion on detecting NGT-induced DNA modifications in plants and food products, evaluating the potential and current limitations of a cutting-edge NGS-approach.
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Registered trials
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