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 7 results

Traits related to biotic stress tolerance

Bacterial resistance: resistance against bacterial spot disease, caused by Xanthomonas species, which could be a devastating to tomato as well as pepper.
(Ortega et al., 2024)
SDN1
CRISPR/Cas
University of California
University of Florida, USA
Bacterial resistance: resistance to different pathogens including Xanthomonas spp., P. syringae and P. capsici.
(de Toledo Thomazella et al., 2016)
SDN1
CRISPR/Cas
University of California, USA
Pospiviroids detection method. Pospiviroids are a major production constraint.
( Zhai et al., 2024 )
SDN1
CRISPR/Cas
Washington State University
USDA-ARS, USA
Viral resistance: enhanced resistance against chickpea chlorotic dwarf virus (CpCDV). The range of symptoms caused by CpCDV varies from mosaic pattern to streaks to leaf curling and can include browning of the collar region and stunting, foliar chlorosis and necrosis.
(Munir Malik et al., 2022)
SDN1
CRISPR/Cas
University of the Punjab
University of Gujrat, Pakistan
Washington State University, USA
Effective detection of a resistance-breaking strain of tomato spotted wilt virus (TSWV). TSWV causes a great threat to various food crops globally and can cause devastating epidemics.
( Shymanovich et al., 2024 )
SDN1
CRISPR/Cas
North Carolina State University, USA
Fungal resistance: improved resistance to necrotrophic fungus Botrytis cinerea.
(Jeon et al., 2020)
SDN1
CRISPR/Cas
Stanford University, UK
L’Oreal, France
Howard Hughes Medical Institute, USA
Resistance to parasitic weed: Phelipanche aegyptiaca. The obligate root parasitic plant causes great damages to important crops and represents one of the most destructive and greatest challenges for the agricultural economy.
(Bari et al., 2019)
SDN1
CRISPR/Cas
Newe Ya’ar Research Center,
Agricultural Research Organization (ARO), Israel
University of California, USA