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 6 results

Traits related to biotic stress tolerance

Viral resistance: improved resistance against tomato yellow leaf curl virus (TYLCV). TYLCV causes significant economic losses in tomato production worldwide.
(Faal et al., 2020)
SDN1
CRISPR/Cas
Ferdowsi University of Mashhad, Iran
Viral resistance: partial resistance to Pepper veinal mottle virus (PVMV) isolate IC, with plants harboring weak symptoms and low virus loads at the systemic level.
(Moury et al., 2020)
SDN1
CRISPR/Cas
INRA, France
Université de Tunis El-Manar
Université de Carthage, Tunisia
Université Felix Houphouët-Boigny, Cote d’Ivoire
Institut de l’Environnement et de Recherches Agricoles, Burkina Faso
Bacterial resistance: Strong resistance to Xanthomonas oryzae, causing bacterial blight, a devastating rice disease resulting in yield losses.
(Wang et al., 2017)
SDN1
TALENs
National University of Singapore, Singapore

Traits related to industrial utilization

Conversion of hulled into naked barley.
( Gasparis et al., 2018 )
SDN1
CRISPR/Cas
National Research Institute
Warsaw University of Life Sciences (SGGW), Poland
Improved saccharification efficiency by an altered cell wall architecture.
( Nayeri et al., 2022 )
SDN1
CRISPR/Cas
Shahid Beheshti University
University of Tabriz, Iran

Traits related to product color/flavour

Color modification due to reduced anthocyanin accumulation.
( Klimek-Chodacka et al., 2018 )
SDN1
CRISPR/Cas
University of Agriculture in Krakow, Poland
East Carolina University
University of Maryland, USA