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 16 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
Resistance against a protist pathogen: stable resistance against clubroot disease. Clubroot disease is caused by the protist Plasmodiophora brassicae Woronin and can result in a 10-15% yield loss in Brassica species as well as related crops.
(Hu et al., 2023)
SDN1
CRISPR/Cas
Saskatoon Research and Development Centre, Canada
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

Fungal resistance: resistance to Fusarium graminearum. Fusarium head blight (FHB) is an economically important disease, affecting both yield and grain quality of maize, wheat and barley.
(Brauer et al., 2020)
SDN1
CRISPR/Cas
Ottawa Research and Development Centre, Canada
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

Reduced cuticle permeability and enhanced drought tolerance.
( He et al., 2022 )
SDN1
CRISPR/Cas
Northwest A&
F University
USA
University of British Columbia, Canada
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

Altered protein composition due to mutations in seed storage proteins. Two major families of storage proteins, account for about 70% of total soy seed protein. Some major biochemical components influencing the quality of soy food products, for example tofu, are both the quantity and quality of storage proteins in soybean seeds.
( Li et al., 2019 )
SDN1
CRISPR/Cas
Agriculture and Agri-Food Canada
Western University
Harrow Research and Development Centre, Canada
Sun Yat-sen University
Guangdong Academy of Agricultural Sciences
Minnan Normal University
China
Improved seed oil content: increased levels of monounsaturated fatty acids and decreased levels of polyunsaturated fatty acids.
(Wang et al., 2022)
SDN1
CRISPR/Cas
Huazhong Agricultural University, China
National Research Council Canada, Canada

Traits related to increased plant yield and growth

Confer shoot architectural changes for increased resource inputs to increase crop yield.
( Stanic et al., 2021 )
SDN1
CRISPR/Cas
University of Calgary, Canada
SRM Institute of Technology, India

Traits related to herbicide tolerance

Herbicide tolerance: AHAS-inhibiting
(Gocal et al., 2015)

ODM
Cibus, Canada
Cibus, USA

Traits related to product color/flavour

Improved aroma, flavour and fatty acid (FA) profiles of pea seeds.
( Bhowmik et al., 2023 )
SDN1
CRISPR/Cas
National Research Council Canada (NRC)
University of Calgary
University of Saskatchewan
Agriculture and Agri-Food Canada (AAFC)
St. Boniface Hospital Research, Canada
John Innes Centre, UK
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
A significant reduction of saponins. Saponins are a source of bitter, and metallic off-flavors in products containing peas.
( Hodgins et al., 2024 )
SDN1
CRISPR/Cas
Universityof Calgary
Universityof Saskatchewan
National Research Council of Canada, Canada

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