Editorial: The future of agricultural biosafety regulations
Notice bibliographique
Résumé
Progressive and adaptive criteria for biosafety assessments require a collaborative effort across disciplines, experts and institutions around the globe to enable fit-for-purpose, risk appropriate regulations that promote the safe implementation of bio-innovations and their accessibility to society.A number of recent reports provide insights, recommendations, and actions in this direction (OECD, 2024(OECD, , 2025;;NESTA, 2019;Regulatory Horizons Council, 2022). This is especially relevant, as food systems will have to sustain food security by producing greater yields per area, meet demands to be sustainable, and at the same time produce innovative, affordable foods.Revisiting the scientific rationale for assessing gene technologies in the light of current knowledge and experience is critical for technologies to advance. Therefore, it was considered timely to compile a set of publications to provide an overview of the current challenges and opportunities for adapting biosafety considerations to support innovative biotechnological applications. This Research Topic features 12 publications authored by over 60 experts, representing realities and views from different world regions and sectors.Experts from Latin American and African countries share experiences and discuss regulatory frameworks, risk assessment approaches and innovative technologies, highlighting regulatory diplomacy and collaboration as enablers of functional and progressive frameworks. In "Experiences, learnings and perspectives in the regulation of agricultural biotechnology: the view from Argentina", Lewi, Godoy and Simeone share their experiences with the revision process carried out between 2020 and 2023, based on the latest scientific knowledge. Collaborative initiatives and outreach actions implemented at the international level are also described, which resulted in the adoption of Argentina´s criteria for New Breeding Techniques in other geographies. This article stresses that continuous updating and training of risk assessors and inter-agency collaborations are key to enable adaptive frameworks and anticipate future challenges.In "Africa and zero hunger agenda: genome editing policy landscape, challenges and opportunities", Olalekan Akinbo and co-authors comment on the historical opposing forces between the need to incorporate technology to ensure food security and strong positions against biotechnology as the main obstacle for adoption. They also review policies in five African countries regarding genome editing and continental initiatives that can promote agricultural innovations in the region.Complementing this analysis, research conducted in African countries is presented by Rabuma, Moronta-Barrios and Craig, focused on the biosafety regulatory frameworks for genome editing and gene drive technologies. This study provides updated data that can be used to identify and address common challenges to develop effective regulatory frameworks going forward.An additional complexity is addressed by Fernandez Rios and co-authors, discussing the challenges and global trade implications of genome editing divergent regulatory criteria between regions. The article calls for more harmonized approaches that can not only facilitate trade but also stimulate the use of genome editing to address food security and mitigate climate change effects.Experts from different sectors offer their views on current regulatory models and propose advancements based on scientific knowledge and experience with risk assessment of gene technologies. Innovative applications in fruits and microorganisms are also discussed as cases that need adaptive criteria to advance.In "Naturally transgenic plants and the need to rethink regulatory triggers in biotechnology", Fernandez Rios and co-authors revisit the product vs process regulatory approach for gene technologies, considering the complexity of plant genetics and the existence of naturally occurring transgenic plants, of which there is growing evidence. This article proposes to rethink the regulatory triggers for plant products derived from gene technologies, in particular, transgenesis.Along these lines, two articles focus on GM microbial based biologicals. In the first, Katherine Carberg reviews the complexities of the microbial world, as the natural genetic exchange among microorganisms shows that natural transgenesis is common, making it difficult to label a microorganism as GM (or not). The article puts into question the scientific relevance of such labels for risk assessments and advocates for a more effective and science-based regulatory approach focused on the microorganisms' actual functions.In the second, Rubinstein et al. elaborate further on these arguments in "Genetically modified microorganisms for agricultural use: an opportunity for the advancement of risk assessment criteria in Argentina". The article reflects a discussion conducted in Argentina, proposing a change in the current paradigm developed over 30 years ago for transgenic plants. The rationale is based on extensive scientific evidence and concludes that there is a need to adapt regulatory criteria to the microbial world.Fruit improvement through gene technologies, is exemplified by Amy Klocko in "Apple improvement, traditional approaches, biotechnology options, and regulatory considerations". This work describes multiple apple breeding approaches with focus on transgenesis. As global biosafety regulations continue to develop and change, the article points to the need to develop guidelines for these cases, both for the cultivation and for import of engineered fruits, in this case, apple trees and apple derived products.On the regulatory model side, Muphy Koch and co-authors offer the views of experienced developers of GM plants, pointing the 30 plus years of experience with risk assessment in many countries and calling to capitalize on this experience to avoid redundancy in country by country safety reviews of the same cases. The article proposes a global collaborative, harmonized model for risk assessment that is nimble and forward-looking, to keep up with the pace of innovations and enable broader access to their benefits.Leah Buchman and Emma Kovak offer a US-focused analysis in "A Call for Congressional Action:Revisiting the U.S. Coordinated Framework for the Regulation of Biotechnology". This Policy Brief examines the Coordinated Framework for the Regulation of Biotechnology developed almost 40 years ago and calls for substantial changes for current and future products. Recommendations ask, among others, for the creation of a centralized application submission portal, a horizon scanning for future products of biotechnology and streamlined regulations for familiar products.On the other side of the Atlantic, Monica Garcia Alonso and co-authors review the situation of GM crops in the EU, providing an historic framework and discussing the challenges posed by the current regulatory approach. The impacts of the rigid and outdated regulatory oversight of GMOs on innovation, EU farmers access to biotechnology technologies, trade implications and market concentration are discussed. Authors advocate for changes that can reduce the current complexity and unpredictability of the process, aligning the regulatory oversight of GM crops with current scientific knowledge and international practices.Finally, in "Agricultural biotechnology in the courts: judicial opinions and commentary", Drew Kershen provides a thorough analysis of judicial opinions in different countries and their impacts on innovation and access to the benefits of biotechnology by society. The influence of public perception on decision makers and judicial decisions and the consequences for agricultural development are also discussed.In summary, this topic presents relevant perspectives and diverse international views on the necessary changes to support and advance innovation. These contributions provide scientific arguments emphasizing the importance of ensuring that agricultural biosafety regulations are fit for purpose , internationally harmonized -where possible-and forward looking, grounded on science and risk assessment. Regardless of geographical regions, this topic shows the common challenges faced, the consensus on the need for a paradigm shift and the critical role of regulatory diplomacy in preparing for the future.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,004 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,008 | 0,006 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,010 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,013 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».