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

Genome Editing Technique

Displaying 23 results

Traits related to biotic stress tolerance

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
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: 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
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
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
Viral resistance: enhanced resistance against wheat dwarf virus, which is a causal agent of wheat viral disease and can significantly impact wheat production worldwide.
(Yuan et al., 2024)
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences
Northwest A&
F University, China

Norwegian Institute of Bioeconomy Research, Norway
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

Visualization of the early stages of Cassava bacterial blight (CBB) infection in vivo. CBB is caused by Xanthomonas axonopodis pv. Manihotis.
( Veley et al., 2021 )
SDN2
CRISPR/Cas
Donald Danforth Plant Science Center, USA
National Root Crops Research Institute, Nigeria
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

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
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

Traits related to improved food/feed quality

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
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

Traits related to increased plant yield and growth

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

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 herbicide tolerance

Bispyribac sodium
( Kuang et al., 2020 )

BE
Chinese Academy of Agricultural Sciences
China Agricultural University
Zhejiang University, China
Norwegian Institute of Bioeconomy Research, Norway
Dinitroanaline
( Liu et al., 2021 )

BE
Chinese Academy of Agricultural Sciences
China Agricultural University
Zhejiang University
Scientific Observing and Experimental Station of Crop Pests in Guilin, Ministry of Agriculture and Rural Affairs, China
Norwegian Institute of Bioeconomy Research, Norway

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