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 25 results

Traits related to abiotic stress tolerance

Drought and salt tolerance.
( Curtin et al., 2018 )
SDN1
CRISPR/Cas
University of Minnesota, USA
The University of Newcastle, Australia
Increased drought tolerance.
( Abdallah et al., 2022 )
SDN1
CRISPR/Cas
Cairo University, Egypt
Crop Improvement and Genetics Unit, USA
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
Drought tolerance.
( Kim D et al,. 2018 )
SDN1
CRISPR/Cas
Montana State University, USA
Improved salinity tolerance.
( Wang et al., 2022 )
SDN1
CRISPR/Cas
National Taiwan University, Taiwan
University of North Carolina, USA
Reduced stomatal density. Intrinsic water-use efficiency was significantly impacted under both well-watered and drought conditions, making reduced stomatal density as a preferable trait.
( Clemens et al., 2022 )
SDN1
CRISPR/Cas
University of California
San Diego State University, USA
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
Modulate aluminium resistance. Aluminum (Al) toxicity is the main factor inhibiting plant root development and reducing crops yield in acidic soils.
( Zhang et al., 2022 )
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences
Academy of Agricultural and Forestry Sciences
China Agricultural University, China
University of California, USA
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 herbicide tolerance

Resistance to either imidazolinone or sulfonylurea herbicides
( Zhu et al., 1999 )

ODM
Pioneer Hi-Bred International, USA
Imidizolinone
( Butler et al., 2016 )
SDN2
CRISPR/Cas
Michigan State University
University of Minnesota, USA
Chlorsulfuron
( Svitashev et al., 2016 )
SDN1
CRISPR/Cas
DuPont Pioneer, USA
Bialaphos & quizalofop.
( Shukla et al., 2009 )
SDN3
ZFN
Dow AgroSciences
Sangamo BioSciences, USA
Chlorsulfuron
( Li et al., 2015 )
SDN2
CRISPR/Cas
DuPont Pioneer Agricultural Biotechnology, USA
Herbicide tolerance: glyphosate
(Sauer et al., 2016)
SDN1
CRISPR/Cas
Cibus, USA
Chlorsulfuron resistance.
( Huang et al., 2023 )

BE
University of Florida, USA
Glyphosate resistance.
( Ortega et al., 2018 )
SDN2
CRISPR/Cas
New Mexico State University, USA
Chlorsulfuron
( Svitashev et al., 2015 )
SDN2
CRISPR/Cas
DuPont Pioneer, USA
Herbicide tolerance: glyphosate
(Hummel et al., 2017)
SDN3
CRISPR/Cas
Donald Danforth Plant Science Center, St. Louis, USA
Resistance to imidazolinone herbicides.
( Zhu et al., 2000 )

ODM
Novartis Agricultural Discovery Institute
Pioneer Hi-Bred International, USA
Bispyribac sodium
( Butt et al., 2017 )
SDN2
CRISPR/Cas
King Abdullah University of Science and Technology, Saudi Arabia
Agricultural Research Center, Egypt
Rice University, USA
Herbicide tolerance: AHAS-inhibiting
(Gocal et al., 2015)

ODM
Cibus, Canada
Cibus, USA
Imidizolinone
( Butler et al., 2016 )
SDN2
TALENs
Michigan State University
University of Minnesota, USA
Herbicide resistance.
( Li et al., 2016 )
SDN2
TALENs
Iowa State University, USA
Imidazolinone & sulfonylurea
( Zhu et al., 1999 )

ODM
Pioneer Hi-Bred International, USA