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 17 results

Traits related to biotic stress tolerance

Bacterial resistance: bacterial leaf-blight resistance, which is a destructive disease caused by Xanthomonas oryzae pv. oryzae. and threatens rice production in tropical and temperate regions.
(Kim et al., 2024)
SDN1
CRISPR/Cas
Chungbuk National University
Hankyong National University, Korea
Viral resistance: Highly efficient resistance against wheat dwarf virus (WDV), an economically important virus. WDV infect both wheat and barley causing severe yield losses. The natural resistance resources are limited.
(Kis et al., 2019)
SDN1
CRISPR/Cas
University of Pannonia
Hungarian Academy of Sciences
Eötvös Loránd University University
Szent István University, Hungary
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
Viral resistance: reduced viral accumulation and amelioration of virus-induced symptoms by Potato Virus Y.
(Lucioli et al., 2022)
SDN1
CRISPR/Cas
ENEA
Council for Agricultural Research and Economics (CREA), Italy
National Agricultural Research and Innovation Centre, Hungary
Rapid detection of Sclerotium rolfsii, the causal agent of stem and root rot disease. This technique is effective for identification of pathogens, with potential for on-site testing.
( Changtor et al., 2023 )
SDN1
CRISPR/Cas
Naresuan University, Thailand
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

Mutants were compromised in infectivity of Phytophthora palmivora, a destructive oomycete plant pathogen with a wide host range
( Pettongkhao et al., 2022 )
SDN1
CRISPR/Cas
Prince of Songkla University, Thailand
University of Hawaii at Manoa
East-West Center, USA
Sainsbury Laboratory Cambridge University (SLCU), UK

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
Improved cold tolerance.
( Park et al., 2024 )
SDN1
CRISPR/Cas
Rural Development Administration
Kyungpook National University
National Institute of Agricultural Sciences
Kyungpook National University
Jeonbuk National University, Korea
College of Marine and Bioengineering, China

Traits related to improved food/feed quality

Amylose-free tubers.
( Abeuova et al., 2023 )
SDN1
CRISPR/Cas
National Center for Biotechnology (NCB)
L.N. Gumilyov Eurasian National University
Nazarbayev University, Kazakhstan

Traits related to increased plant yield and growth

Delayed flowering.
( Kim et al., 2024 )
SDN1
CRISPR/Cas
Myongji University, Korea

Traits related to industrial utilization

Bio-fuel production: decreased lignin content improves cell wall composition for production of bio-ethanol.
(Laksana et al., 2024)
SDN1
CRISPR/Cas
Burapha University Sakaeo Campus
Kasetsart University, Thailand

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
Albino phenotype
( Bánfalvi et al., 2020 )
SDN1
CRISPR/Cas
NARIC Agricultural Biotechnology Institute, Hungary

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