Genome-editing techniques are promising tools in plant breeding. To facilitate a more comprehensive understanding of the use of genome editing, EU-SAGE developed an interactive, publicly accessible online database of genome-edited crop plants as described in peer-reviewed scientific publications.
The aim of the database is to inform interested stakeholder communities in a transparent manner about the latest evidence about the use of genome editing in crop plants. Different elements including the plant species, traits, techniques, and applications can be filtered in this database.
Regarding the methodology, a literature search in the bibliographic databases and web pages of governmental agencies was conducted using predefined queries in English. Identifying research articles in other languages was not possible due to language barriers. Patents were not screened.
Peer-reviewed articles were screened for relevance and were included in the database based on pre-defined criteria. The main criterium is that the research article should describe a research study of any crop plant in which a trait has been introduced that is relevant from an agricultural and/or food/feed perspective. The database does neither give information on the stage of development of the crop plant, nor on the existence of the intention to develop the described crop plants to be marketed.
This database will be regularly updated. Please contact us via the following webpage in case you would like to inform us about a new scientific study of crops developed for market-oriented agricultural production as a result of genome editing

Displaying 23 results

Traits related to biotic stress tolerance

Fungal resistance: increased resistance to Botrytis cinerea.
(Perk et al., 2023)
SDN1
CRISPR/Cas
CONICET—Universidad Nacional de Mar del Plata
Universidad Nacional de La Plata, Argentina
Bacterial resistance: resistance against banana Xanthomonas wilt (BXW) disease, caused by Xanthomonas campestris pv. musacearum. BXW forms a great threat to banana cultivation in East and Central Africa.
(Ntui et al., 2023)
SDN1
CRISPR/Cas
International Institute of Tropical Agriculture, Kenya
Viral resistance: increased control on viral pathogen Banana streak virus (BSV). The BSV integrates in the banana host genome as endogenous BSV (eBSV). When banana plants are stressed, the eBSV produces infectious viral particles and thus the plant develops disease symptoms.
(Tripathi et al., 2019)
SDN1
CRISPR/Cas
International Institute of Tropical Agriculture (IITA), Kenya
University of California, USA
Fungal resistance: Enhanced resistance to powdery mildew, a fungal disease causing great losses in soybean yield and seed quality.
(Bui et al., 2023)
SDN1
CRISPR/Cas
Institute of Biotechnology
University of Science and Technology of Hanoi
Vietnam Academy of Science and Technology
Vietnam Academy of Agriculture Science, Vietnam
Washington University in St. Louis
University of Missouri, USA

Bacterial resistance: Enhanced resistance to Xanthomonas campestris pv. musacearum, causing Bananas Xanthomonas wilt (BXW). Overall economic losses caused by Xanthomonas campestris were estimated at 2-8 billion USD over a decade.
(Tripathi et al., 2021)
SDN1
CRISPR/Cas
International Institute of Tropical Agriculture (IITA), Kenya
Resistance to parasitic weed: Striga spp. The parasitic plant reduces yields of cereal crops worldwide.
(Hao et al., 2023)
SDN1
CRISPR/Cas
University of Nebraska-Lincoln
Pennsylvania State University, USA
International Maize and Wheat Improvement Center (CIMMYT), Senegal
Kenyatta University, Kenya

Viral resistance: enhanced Potato virus Y (PVY) resistance. PVY infection can result in up to 70% yield loss globally.
(Le et al., 2022)
SDN1
CRISPR/Cas
Vietnam Academy of Science and Technology, Vietnam
University of Edinburgh, UK
Viral resistance: partial resistance to Pepper veinal mottle virus (PVMV) isolate IC, with plants harboring weak symptoms and low virus loads at the systemic level.
(Moury et al., 2020)
SDN1
CRISPR/Cas
INRA, France
Université de Tunis El-Manar
Université de Carthage, Tunisia
Université Felix Houphouët-Boigny, Cote d’Ivoire
Institut de l’Environnement et de Recherches Agricoles, Burkina Faso

Traits related to abiotic stress tolerance

Enhanced salt tolerance.
( Ly et al., 2024 )
SDN1
CRISPR/Cas
Vietnam Academy of Science and Technology
Agricultural Genetics Institute, Vietnam
Tolerance to salt stress.
( Tran et al., 2021 )
SDN1
CRISPR/Cas
Gyeongsang National University, South Korea
College of Agriculture
Bac Lieu University, Vietnam
Increased root length, which can restore good performance under water stress.
( Gabay et al., 2023 )
SDN1
CRISPR/Cas
University of California
Howard Hughes Medical Institute, USA
University of Haifa, Israel
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Universidad Nacional de San Martín (UNSAM), Argentina
Fudan University
China Agricultural University, China
Karolinska Institutet, Sweden
Drought tolerance.
( Njuguna et al., 2018 )
SDN1
CRISPR/Cas
Ghent University
Center for Plant Systems Biology, Belgium
Jomo Kenyatta University of Agriculture and Technology, Kenya

Traits related to improved food/feed quality

High oleic, low linoleic and alpha-linolenic acid phenotype. High concentration of linoleic and alpha-linolenic acids causes oxidative instability.
( Do et al., 2019 )
SDN1
CRISPR/Cas
University of Missouri, USA
Vietnam Academy of Science and Technology, Vietnam
Increased sugar and amino acid content leading to improved fruit quality.
( Nguyen et al., 2023 )
SDN1
CRISPR/Cas
Vietnam Academy of Science and Technology
Food Industries Research Institute, Vietnam
University of Missouri, USA
Important metabolic changes affecting tomato fruit quality. Reduced contents of the anti-nutrient oxalic acid.
( Gago et al., 2017 )
SDN1
ZFN
University of Algarve, Portugal
Centre for Research and Technology Hellas
Technological Educational Institution of Crete, Greece
Starch with an increased amylose ratio and elongated amylopectin chains. In food products, high amylose content and long amylopectin chains contribute to a low glycaemic index (GI) after intake, playing a role in health benefits.
( Zhao et al., 2021 )
SDN1
CRISPR/Cas
Swedish University of Agricultural Sciences, Sweden
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Laboratorio de Agrobiotecnología (INTA), Argentina
Reduced raffinose family oligosaccharide (RFO) levels in seeds. Human and other monogastric animals cannot digest major soluble carbohydrates, RFOs.
( Le et al., 2020 )
SDN1
CRISPR/Cas
Vietnam Academy of Science and Technology, Vietnam
University of Missouri, USA
Leibniz Institute of Plant Genetics and Crop Plant Research
Germany

Traits related to increased plant yield and growth

Delay in the appearance of flower buds and increased yield.
( Beracochea et al., 2023 )
SDN1
CRISPR/Cas
Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET)
Instituto Nacional de Tecnología Agropecuaria (INTA), Argentina
Altered plant architecture to inrease yield: increased node number on the main stem and branch number.
(Bao et al., 2019)
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences
Huazhong Agricultural University, China
Duy Tan University, Vietnam
RIKEN Center for Sustainable Resource Science, Japan
Leaf inclination: the leaf angle is a trait that contributes to crop yield determination.
(Trionfini et al., 2023)
SDN1
CRISPR/Cas
Universidad Nacional del Litoral, Argentina

Traits related to product color/flavour

Albino phenotype.
( Syombua et al., 2021 )
SDN1
CRISPR/Cas
International Institute of Tropical Agriculture (IITA)
University of Nairobi, Kenya
University of Missouri
Iowa State University
Donald Danforth Plant Science Center, USA

Traits related to storage performance

Extended root shelf-life, which decreases its wastage.
( Mukami et al., 2023 )
SDN1
CRISPR/Cas
Kenyatta University
Jomo Kenyatta University of Agriculture Technology
Pwani University Kilifi, Kenya
Reduced enzymatic browning. The formation of dark-colored precipitates in fruits and vegetables causes undesirable changes in organoleptic properties and the loss of nutritional quality.
( Gonzalez et al., 2020 )
SDN1
CRISPR/Cas
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Laboratorio de Agrobiotecnología (INTA)
Universidad Nacional de Mar del Plata, Argentina
Swedish University of Agricultural Sciences, Sweden