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

Sdn Type

Displaying 10 results

Traits related to biotic stress tolerance

Viral resistance: increased resistance against Tobacco Mosaic Virus (TMV).
(Jogam et al., 2023)
SDN1
CRISPR/Cas
Kakatiya University
Center of Innovative and Applied Bioprocessing (DBT-CIAB), India
University of Minnesota
East Carolina University, USA
Viral resistance: Attenuated infection symptoms and reduced viral RNA accumulation, specific for the cucumber mosaic virus (CMV) or tobacco mosaic virus (TMV).
(Zhang et al., 2018)
SDN1
CRISPR/Cas
South China Agricultural University, China
University of Missouri, USA
Viral resistance: enhanced Potato virus Y (PVY) resistance. PVY infection can result in up to 70% yield loss globally.
(Le et al., 2022)
SDN1
CRISPR/Cas
Vietnam Academy of Science and Technology, Vietnam
University of Edinburgh, UK

Traits related to improved food/feed quality

Ultra-low nicotine level
( Burner et al., 2022 )
SDN1
CRISPR/Cas
North Carolina State University, USA
Decreases in palmitic acid, increased total C18 and reduced total saturated fatty acid contents. Reduced saturated fat content is connected to lowered cardiovascular disease rate.
( Gupta et al., 2012 )
SDN1
ZFN
Dow AgroSciences
Sangamo BioSciences, USA
Altered lignin composition: decreased syringyl monolignol / guaiacylmonolignol (S/G) ratio. The monolignol ratio has been proposed to affect biomass recalcitrance and the resistance to plant disease.
(Cao et al., 2021)
SDN1
CRISPR/Cas
SouthwestUniversity, China
University of Wisconsin, USA

Traits related to increased plant yield and growth

Semi-dwarf phenotype and compact architecture to increase yield. Plant height and branch angle are the major architectural factors determining yield.
( Fan et al., 2021 )
SDN1
CRISPR/Cas
Ministry of Agriculture and Rural Affairs, China
Wilkes University, USA
Improve plant architecture to increase yield. Plant height and branch number are directly correlated with yield.
( Zheng et al., 2020 )
SDN1
CRISPR/Cas
Ministry of Agriculture, China
Wilkes University, USA

Traits related to industrial utilization

Accumulate low levels of alkaloids. Nicotine is the most abundant alkaloid produced in tobacco plants. Switching to cigarettes containing levels of nicotine below the level of sustaining an addiction response will smoke less and/or find it easier to quit. Possibly, the US Food and Drug Administration (FDA) may mandate such reductions in future cigarette products.
( Smith et al., 2022 )
SDN1
CRISPR/Cas
North Carolina State University, USA

Traits related to herbicide tolerance

Herbicide tolerance: AHAS-inhibiting
(Gocal et al., 2015)

ODM
Cibus, Canada
Cibus, USA