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Enregistrement W4416668786 · doi:10.3389/fgeed.2025.1740380

Editorial: Social aspects of crop genome editing

2025· editorial· en· W4416668786 sur OpenAlexaffabout
Srividhya Venkataraman, Kathleen Hefferon

Notice bibliographique

RevueFrontiers in Genome Editing · 2025
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCRISPR and Genetic Engineering
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMultinational corporationPublic domainIntellectual propertyDiscernmentPoliticsGenome editingDeveloping countryPromotion (chess)

Résumé

récupéré en direct d'OpenAlex

The price of research and development for generating genome-edited crops as well as their regulatory approval can exacerbate disparities within and between nations. Further, there prevail economic concerns regarding a minority of big, multinational corporations acquiring intellectual property rights and controlling the seed market. Patented seeds can incur financial encumbrance for small farmers, particularly in developing countries. Also, there is dispute regarding whether genome-edited crop products must be labeled. Some groups call for mandatory labeling to protect consumers rights to information and opting for these products while on the other hand, other groups express anxiety that labeling could lead to rejection by the public, thus hindering innovation. Varying regulatory policies across different countries engender major challenges to international trade and promotion of new technologies. For instance, in Europe, process-based perspective on GE crops contrasts with the predominantly product-based approach adopted in Brazil, Argentina and the USA. Such differing political choices and not scientific disparities are the principal drivers of disparate regulatory frameworks.Many of the world's populace lack adequate awareness of genome editing resulting in varying and complex public perceptions. A lack of discernment can lead to mistrust in genome-edited crops with some people associating these crops with the controversial GMOs. As a result, consumers display varied attitudes towards crop genome editing ranging from approval of valuable genome-edited foods such as in Japan to profound safety concerns. Some public associations and non-governmental organizations (NGOs) actively advocate against gene-edited crops, magnifying public misconceptions and influencing policies. Public approval or rejection pose important stumbling blocks to commercialization. Poor acceptance from food consumers and retailers can endanger the economic credibility of novel crop varieties irrespective of their benefits. Also, the various stumbling blocks regarding the use of genome editing technology including long-term outcomes, off-target effects and other associated issues are addressed. The major content of this review covers the current regulatory scenario, opportunities as well as challenges towards the adoption of genome edited crops for use by the population spanning countries such as North America and Europe in addition to the differing levels of consumer acceptance in these countries. Discrepancies pertaining to the regulatory approval schemes in several countries of the Northern part of the world will profoundly affect those of the Southern regions who have the most to benefit from these burgeoning novel technologies towards enhanced agricultural outcomes.In the article by Sato, entitled "Genome Editing and Genetic Modification in the Humanities and Social Sciences: A Bibliometric Comparison Using Web of Science," 2,962 academic articles published in the Web of Science database between 1950 and 2024 were analyzed and revealed that most of the genetic modification research pertains to agriculture, the environment, and policy, whereas genome editing research focused more on bioethics and medical applications. Furthermore, the author found that genetic modification topics focused on regulation, whereas genome editing focused on consumer acceptance, suggesting that each technology requires an independent form of dissemination to the general public.Similarly, "The decision to purchase genome edited food products by Iranian consumers: Theory of Planned Behavior as a social intervention tool" by Valizadeh and Karami, explored consumer attitude towards gene-edited food products. The authors found that public trust in gene-edited products and the perceived benefits of gene-edited products had positive and significant effects on the consumer behaviour and intention to purchase these products. The authors conclude that their study could provide a framework for future interventions that would improve consumer preference for food products that are genome edited.Vasquez et al., paper entitled "Canadian Consumer Preferences Regarding Gene-Edited Food Products" explores consumer transparency and limitations in information regarding genome edited food products. The authors found four main factors which strongly influence consumer perceptions: trust in the Canadian food safety system; food technology neophobia scores; knowledge of genetics; and self-knowledge of gene editing.Survey participants indicated that nutrition, price, and taste were the three most important values. The strongest contributing factor affecting willingness to consume is the environmental impact of the production of genome edited crops. Canadian consumers largely experience more trust in genome edited rather than genetically modified crop food technologies.Tachikawa and Matsuo's paper, "New Assemblages and Governance Issues Associated with Genome-Edited Crops" how genome editing technology is reshaping relationships between crops and neighboring wild species, as well as other organisms, is addressed.How these relationships can be parsed out as governance issues is addressed.In summary, the studies presented in this Research Topic enhance our understanding of how society is currently responding to the topic of genome editing in our food system.It will be intriguing to track how things unfold from here.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,020
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,003
Tête enseignante GPT0,258
Écart entre enseignants0,255 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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