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 14 results

Traits related to biotic stress tolerance

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
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: Improved resistance to yellow leaf curl virus, a virus responsible for heavy yield losses for chili peper production.
(Kurniawati et al., 2020)
SDN1
CRISPR/Cas
Institut Pertanian Bogor
Balai Besar Penelitian dan Pengembangan Bioteknologi dan Sumber Daya Genetik Pertanian, Indonesia
Fungal and bacterial resistance: Increased resistance to late blight pathogen Phytophthora infestans, common scab, and the early blight pathogen Alternaria solani.
(Karlsson et al., 2024)
SDN1
CRISPR/Cas
University of Agricultural Sciences, Sweden
Fungal resistance: increased resistance to Phytophthora infestans, causing late blight disease, the most serious disease of potato crops worldwide. The pathogen can infect the leaves, stems and tubers of potato plants. An unprotected field can be completely destroyed in several days.
(Kieu et al., 2021)
SDN1
CRISPR/Cas
Swedish University of Agricultural Sciences, Sweden
University of Copenhagen, Denmark
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

Traits related to abiotic stress tolerance

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
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

Traits related to improved food/feed quality

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
Improved starch quality. Starch has many food and technical applications and is often modified to certain specifications.
( Andersson et al., 2017 )
SDN1
CRISPR/Cas
Swedish University of Agricultural Sciences, Sweden

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

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
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