Detection Methods for Genome-Edited (GE) Crops and Commercialized Genetically Modified (GM) Crops

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Genetics, Genomics and Breeding".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 660

Editors


E-Mail Website
Guest Editor
Molecular Plant Physiology Laboratory, Department of Applied Plant Sciences, Graduate School, Sangji University, Wonju 26339, Republic of Korea
Interests: molecular breeding; mutant breeding; crop cultivation; abiotic stress; crassulacean acid metabolism; water-use efficiency; RING E3 ligase family

E-Mail Website
Guest Editor
Department of Biochemistry and Molecular Biology, University of Nevada, Reno, NV 89557, USA
Interests: genetic variation; genome duplication; polyploidy; gene expression; environmental stress; metabolomics, protein structure analysis; gene evolution
Special Issues, Collections and Topics in MDPI journals

E-Mail
Guest Editor
Agriculture and Life Sciences Research Institute, Kangwon National University, Chuncheon 24341, Republic of Korea
Interests: genetic variation; gene expression regulation; plant abiotic stress responses; RING E3 ubiquitin ligases; functional genomics; molecular marker development; chloroplast DNA analysis; proteostasis and stress signaling

Special Issue Information

Dear Colleagues,

Ensuring transparent, science-based oversight of agricultural biotechnology is increasingly urgent as global trade in seeds, feed, and processed foods expands and supply chains grow more complex. While GMO regulations have driven major advances in screening, event identification, and quantification, genome-edited (GE) crops—often lacking foreign DNA—and highly processed food matrices now challenge conventional, regulation-compliant testing. In parallel, demand for food authenticity and traceability demands is increasing, creating a timely opportunity to integrate GE/GM detection with the botanical identification of plant-derived food materials and molecular marker development.

This Special Issue will present and disseminate the most recent advances related to detection and identification methods for GE crops, commercialized genetically modified (GM) crops, and the authentication of food–plant materials. We consider contributions addressing (i) robust screening, identification, and quantification workflows; (ii) the development and validation of molecular markers for species/cultivar identification and traceability; and (iii) reference material strategies and harmonization for routine implementation.

Cutting-edge topics include multiplex qPCR/ddPCR, targeted sequencing/NGS panels, long-read and CRISPR-assisted assays, high-throughput platforms, and bioinformatics pipelines tailored to complex matrices. We solicit original research, reviews, and method/validation papers covering GE/GM event or trait detection, quantitative measurement, inter-laboratory validation/standardization, marker panels (DNA barcoding, SNP/Indel), and practical regulatory or industry case studies.

Dr. Sung Don Lim
Dr. Won Cheol Yim
Dr. Juhee Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • genome-edited crops
  • GMO detection
  • event-specific PCR
  • ddPCR quantification
  • next-generation sequencing
  • CRISPR-based diagnostics
  • DNA barcoding
  • SNP/indel marker development
  • food authenticity and traceability
  • reference materials and method validation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

30 pages, 494 KB  
Review
Analytical Technologies for the Detection and Identification of Genome-Edited Crops: Current Capabilities, Product-Specific Feasibility, and Enforcement Readiness
by Kyung-Hee Kim, Won C. Yim, Yu Kyong Hu and Sung Don Lim
Agriculture 2026, 16(11), 1184; https://doi.org/10.3390/agriculture16111184 - 28 May 2026
Viewed by 382
Abstract
Genome-edited (GE) crops are reaching consumers faster than the analytical infrastructure designed to monitor them. Unlike transgenic crops, most GE products carry only small sequence changes and no foreign DNA, making conventional element-based polymerase chain reaction (PCR) screening, which has underpinned genetically modified [...] Read more.
Genome-edited (GE) crops are reaching consumers faster than the analytical infrastructure designed to monitor them. Unlike transgenic crops, most GE products carry only small sequence changes and no foreign DNA, making conventional element-based polymerase chain reaction (PCR) screening, which has underpinned genetically modified organism (GMO) enforcement for two decades, largely ineffective. This review critically evaluates detection technologies not by listing them sequentially, but by comparing their performance against a shared set of enforcement-relevant criteria: sensitivity at regulatory thresholds, allele discrimination capacity, prior target knowledge requirement, and validation maturity. Building on detection/discrimination distinctions already present in ENGL guidance documents and the DETECT project, we formalize a two-axis framework separating detectability (technically achievable for most known targets in defined seed or DNA mixtures at or near the 0.1% MRPL) from identifiability (rarely achievable without developer disclosure), with detection as a necessary precondition for identification, and apply it product by product to each commercialized GE crop for which public molecular data are available. The sulfonylurea-tolerant canola (SU Canola) case, in which analytical specificity is established but forensic event specificity is contested, and the German DETECT project are examined as contrasting case studies of analytical success and attribution failure, extracting generalizable lessons for the field. A technology comparison table, a product-specific feasibility matrix, and a tiered enforcement workflow are provided as practical tools. We conclude with five research priorities for closing the detection–identification gap across near-term, mid-term and longer-term horizons. Full article
Show Figures

Figure 1

Back to TopTop