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

Plant

Displaying 21 results

Traits related to biotic stress tolerance

Oomycete resistance: significantly reduced susceptibility to downy mildew disease (DM). DM is caused by Peronospora belbahrii, a worldwide threat to the basil industry.
(Zhang et al., 2021)
SDN1
CRISPR/Cas
The State University of New Jersey, USA
Enhanced resistance to downy mildew pathogen.
( Hasley et al., 2021 )
SDN1
CRISPR/Cas
University of Hawaii at Manoa, USA
High resistance to powdery mildew under semi-commercial growth conditions.
( Shnaider et al., 2022 )
SDN1
CRISPR/Cas
Agricultural Research Organization Volcani Center, Israel
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 resistance: Resistance to pathogen Colletotrichum truncatum, causing anthracnose, a major disease accounting for significant pre- and post-harvest yield losses.
(Mishra et al., 2021)
SDN1
CRISPR/Cas
Centurion University of Technology and Management
Siksha O Anusandhan University
Rama Devi Women'
s University, India
Virus resistance: Immunity to cucumber vein yellowing virus infection (Ipomovirus) and resistance to the potyviruses Zucchini yellow mosaic virus and Papaya ring spot mosaic virus.
(Chandrasekaran et al., 2016)
SDN1
CRISPR/Cas
Volcani Center, Israel
Viral resistance: Increased resistance against watermelon mosaic virus (WMV), papaya ringspot virus (PRSV), and zucchini yellow mosaic virus (ZYMV).
(Fidan et al., 2023)
SDN1
CRISPR/Cas
Akdeniz University
Research and Development Department AD ROSSEN Seeds, Turkey
Oomycete resistance: resistance against downly mildew disease (DM). DM is caused by Peronospora belbahrii, a worldwide threat to the basil industry.
(Laura et al., 2023)
SDN1
CRISPR/Cas
Research Centre for Vegetable and Ornamental Crops
Institute of Agricultural Biology and Biotechnology
Institute for Sustainable Plant Protection
Research Centre for Olive Fruit and Citrus Crops
University of Pisa
Center for Agricultural Experimentation and Assistance
Institute of Biosciences and Bioresources, Italy
Fungal resistance: broad-spectrum stress tolerance including Pseudoperonospora cubernsis (P. cubensis) resistance. P. cubensis is the causal agent of cucurbit downy mildew, responsible for devastating losses worldwide of cucumber, cantaloupe, pumpkin, watermelon and squash.
(Dong et al., 2023)
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences, China
University of California, USA
Fungal resistance: increased resistance against powdery mildew, a destructive disease that threatens cucumber production globally.
(Dong et al., 2023)
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences, China
University of California Davis, USA
Wageningen University &
Research, The Netherlands

Traits related to abiotic stress tolerance

Broad-spectrum stress tolerance: enhanced low temperature, salinity, Pseudoperonospora cubensis and water-deficit tolerance.
(Dong et al., 2023)
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences, China
University of California, USA

Traits related to improved food/feed quality

Boosted cytokinin biosynthesis and elevated cucumber fruit wart formation. Warty fruit is an important quality trait that greatly affects market value and fruit appearance.
( Wang et al., 2022 )
SDN1
CRISPR/Cas
China Agricultural University, China
Regulate cucumber fruit wart formation. Warty fruit in cucumber is an important quality trait that greatly affects fruit appearance.
( Wang et al., 2021 )
SDN1
CRISPR/Cas
China Agricultural University, China
Nattokinase (NK) producing cucumber. NK is effective in the prevention and treatment of cardiovascular disease.
( Ni et al., 2023 )
SDN2
CRISPR/Cas
Xuzhou University of Technology
Nankai University, China

Traits related to increased plant yield and growth

Only female flowers. Allows earlier production of hybrids, higher yield, and more concentrated fruit set.
( Hu et al., 2017 )
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences,
China
Increased spine density. The “numerous spines (ns)” cucumber varieties are popular in Europe and West Asia.
( Liu et al., 2022 )
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences, China

Traits related to industrial utilization

Bioethanol production: Improved saccharification efficiency without compromising biomass yield.
(Kannan et al., 2017)
SDN1
TALENs
University of Florida
Novozymes North America Inc, USA
Korea Institute of Science and Technology (KIST), South Korea
Bio-fuel production: Reduced lignin content, improves cell wall composition for production of bio-ethanol.
(Jung et al., 2016)
SDN1
TALENs
Korea University, South Korea
University of Florida, USA
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

Glyphosate resistance.
( Ortega et al., 2018 )
SDN2
CRISPR/Cas
New Mexico State University, USA

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