Evidence map›Paper›PMID 32906573›Full record

ArticleFoods (Basel, Switzerland)2020

A Real-Time Quantitative PCR Method Specific for Detection and Quantification of the First Commercialized Genome-Edited Plant.

Pradheep Chhalliyil, Heini Ilves, Sergei A Kazakov, Stephanie J Howard, Brian H Johnston, John Fagan

Erratum issuedAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Pradheep ChhalliyilHealth Research Institute, 505 Dimick Drive, P.O. Box 370, Fairfield, IA 52556, USA.ORCID 0000-0001-9167-0621
Heini IlvesSomagenics, Inc., 2161 Delaware Ave, Suite E, Santa Cruz, CA 95060-5790, USA.
Sergei A KazakovSomagenics, Inc., 2161 Delaware Ave, Suite E, Santa Cruz, CA 95060-5790, USA.
Stephanie J HowardThe Sustainability Council of New Zealand, P.O. Box 24304, Wellington 6142, New Zealand.
Brian H JohnstonSomagenics, Inc., 2161 Delaware Ave, Suite E, Santa Cruz, CA 95060-5790, USA.
John FaganHealth Research Institute, 505 Dimick Drive, P.O. Box 370, Fairfield, IA 52556, USA.

Funding

ARGE-Gentechnik frei, Lehárgasse 7/1/7, 1060 Vienna, Austria 5CSRD VA 1EU Regional Group (IFOAM EU), Rue du Commerce 124, Floor 4, Brussels 1000, Belgium 6Greenpeace EU, Rue Belliard 199, Brussels 1040, Belgium; Greenpeace Germany, Hongkongstr.10, 20457, Hamburg, Germany 2Organic and Natural Health Association, P.O. Box 42385, Washington, D.C. 20015, U.S.A 3The Non-GMO Project, P.O. Box 5606, Bellingham, WA 98227, U.S.A 4The Sustainability Council of New Zealand, P O Box 24304, Wellington 6142, New Zealand 7
6 · The paper itself

Abstract

Discussion regarding the regulatory status of genome-edited crops has focused on precision of editing and on doubts regarding the feasibility of analytical monitoring compliant with existing GMO regulations. Effective detection methods are important, both for regulatory enforcement and traceability in case of biosafety, environmental or socio-economic impacts. Here, we approach the analysis question for the first time in the laboratory and report the successful development of a quantitative PCR detection method for the first commercialized genome-edited crop, a canola with a single base pair edit conferring herbicide tolerance. The method is highly sensitive and specific (quantification limit, 0.05%), compatible with the standards of practice, equipment and expertise typical in GMO laboratories, and readily integrable into their analytical workflows, including use of the matrix approach. The method, validated by an independent laboratory, meets all legal requirements for GMO analytical methods in jurisdictions such as the EU, is consistent with ISO17025 accreditation standards and has been placed in the public domain. Having developed a qPCR method for the most challenging class of genome edits, single-nucleotide variants, this research suggests that qPCR-based method development may be applicable to virtually any genome-edited organism. This advance resolves doubts regarding the feasibility of extending the regulatory approach currently employed for recombinant DNA-based GMOs to genome-edited organisms.

Indexed as

biosafetygenome-edited cropsGMO detectionGMO quantitationreal-time quantitative PCRregulatory enforcementtraceability

Identifiers

PMID32906573
PMCPMC7556030

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.