Genome-editing techniques are promising tools in plant breeding. To facilitate a more comprehensive understanding of the current and future applications of genome editing in crops, EU-SAGE developed an interactive, publicly accessible online database of genome-edited crops.

The aim of the database is to inform interested stakeholder communities in a transparent manner about the latest evidence about genome editing applications in crops. 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 developed for market-oriented agricultural production as a result of a genome editing.

This database will be regularly updated. Please contact us via the following webpage (https://www.eu-sage.eu/contact) 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.

This work has been supported by Task Force Planet Re-Imagine Europa (https://reimagine-europa.eu/area/planet)

Genome Editing Technique

Plant

Displaying 3 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
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

Traits related to herbicide tolerance

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