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 8 results

Traits related to biotic stress tolerance

Fungal resistance: Increased resistance to Phytophthora sojae, a pathogen severely impairing soybean production.
(Yu et al., 2021)
SDN1
CRISPR/Cas
Northeast Agricultural University
Chinese Academy of Agricultural Sciences
Shanghai Jiao Tong University
Jilin Academy of Agricultural Science
Jiamusi Branch Academy of Heilongjiang Academy of Agricultural Sciences
Heilongjiang Academy of Agricultural Sciences, China
Resistance against leaf chewing insects: leaf-chewing insects cause yield loss and reduce seed quality in soybeans
(Zhang et al., 2022)
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences
Huazhong Agricultural University
Henan Agricultural University, China
Resistance to Phytophthora sojae, which severely impairs soybean production.
( Yu et al., 2022 )
SDN1
CRISPR/Cas
Northeast Agricultural University
Chinese Academy of Agricultural Sciences
Jilin Academy of Agricultural Science
Shanghai Jiao Tong University
Jiamusi Branch Academy of Heilongjiang Academy of Agricultural Sciences, China
Oomycete resistance: increased resistance against soybean root rot disease caused by Phytophthora sojae.
(Liu et al., 2023)
SDN1
CRISPR/Cas
Nanjing Agricultural University, China
Viral resistance: increased resistance to turnip mosaic virus (TuMV).
(Lee et al., 2023)
SDN1
CRISPR/Cas
Rural Development Administration
Advanced Institute for Science and Technology, South Korea
North Carolina State University, USA
Sensitive detection of two fungal pathogens (Diaporthe aspalathi and Diaporthe caulivora) that cause soybean stem canker. The method requires minimal equipment as well as training and shows potential for on-site screening.
( Sun et al., 2023 )
SDN1
CRISPR/Cas
Chinese Academy of Inspection and Quarantine
Shenyang Agricultural University
Huangpu Customs Technology Center
Technical Center of Hangzhou Customs
Dalian University, China
Fungal resistance: Enhanced resistance to powdery mildew, a fungal disease causing great losses in soybean yield and seed quality.
(Bui et al., 2023)
SDN1
CRISPR/Cas
Institute of Biotechnology
University of Science and Technology of Hanoi
Vietnam Academy of Science and Technology
Vietnam Academy of Agriculture Science, Vietnam
Washington University in St. Louis
University of Missouri, USA

Nematode resistance: resistance against soybean cyst nematode. Plant-parasitic nematode pests result in billions of dollars in realized annual losses worldwide.
(Usovsky et al., 2023)
SDN1
CRISPR/Cas
University of Missouri
University of Georgia
Beltsville Agricultural Research Center, USA