ArticleFrontiers in plant science2020
Method for the Identification of Plant DNA in Food Using Alignment-Free Analysis of Sequencing Reads: A Case Study on Lupin.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Application of COI Gene-Based Molecular Analysis for Verifying Honey Authenticity and Detecting Trace Residues in Vegan Food Products.Molecules (Basel, Switzerland) · 2025Article
- Towards DNA-Based Methods Analysis for Honey: An Update.Molecules (Basel, Switzerland) · 2023Review
- Strategies for molecular authentication of herbal products: from experimental design to data analysis.Chinese medicine · 2022Review
- Challenges in Medicinal and Aromatic Plants DNA Barcoding-Lessons from the Lamiaceae.Plants (Basel, Switzerland) · 2022Review
- Molecular Approaches to Agri-Food Traceability and Authentication: An Updated Review.Foods (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fast and reliable analytical methods for the identification of plants from metagenomic samples play an important role in identifying the components of complex mixtures of processed biological materials, including food, herbal products, gut contents or environmental samples. Different PCR-based methods that are commonly used for plant identification from metagenomic samples are often inapplicable due to DNA degradation, a low level of successful amplification or a lack of detection power. We introduce a method that combines metagenomic sequencing and an alignment-free
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Registered trials
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