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

Plant

Displaying 25 results

Traits related to biotic stress tolerance

Fungal resistance: increased resistance to Erysiphe necator, causing powdery mildew in grape cultivar. The pathogen infects all green tissues and berries, leading to dramatic losses in yield and berry quality.
(Malnoy et al., 2016)
SDN1
CRISPR/Cas
Fondazione Edmund Mach, Italy
ToolGen Inc.
Institute for Basic Science
Seoul National University, South Korea
Viral resistance: Resistance against Grapevine leafroll-associated virus 3 (GLRaV-3), which is one of the causal agents of grapevine leafroll disease (GLD). GLD severely impacts grapevine production.
(Jiao et al., 2022)

CRISPR/Cas
Northwest A&
F University, China
Fungal resistance: enhanced resistance to powdery mildew (Erysiphe necator), a major fungal disease, threatening one of the most economically valuable horticular crops.
(Wan et al., 2020)
SDN1
CRISPR/Cas
Ministry of Agriculture, China
Northwest A&
F University
University of Maryland College Park, USA
Fungal resistance: higher resistance to Verticillium dahliae infestation. Cotton verticillium wilt/cotton cancer, is a destructive disease, leading to 250-310 million USD economic losses each year in China.
(Zhang et al., 2018)
SDN1
CRISPR/Cas
Chinese Academy of Sciences
Chinese Academy of Agricultural Sciences
Shanxi Academy of Agricultural Sciences, China
Fungal resistance: increased resistance to Botrytis cinerea.
(Wang et al., 2018)
SDN1
CRISPR/Cas
Northwest A&
F University and Ministry of Agriculture, China
Fungal resistance: effective reduction of susceptibility against downy mildew by increasing salicylic acid levels. The pathogen can devastate individual vineyards and in some cases also affect production from entire regions.
(Giacomelli et al., 2023)
SDN1
CRISPR/Cas
Research and Innovation Centre
Fondazione Edmund Mach, Italy
Enza Zaden
Hudson River Biotechnology, The Netherlands
Viral resistance: reduced cotton leaf curl viral (CLCuV) load with asymptomatic plants. <br /> CLCuV causes a very devastating and prevalent disease. It causes huge losses to textile and other industries.
(Shakoor et al., 2023)
SDN1
CRISPR/Cas
University of the Punjab
University of Gujrat, Pakistan
Pacific Biosciences
CureVac Manufacturing GmbH, Germany
Fungal resistance: Decreased susceptibility to Plasmopara viticola, the causing agent of the grapevine downy mildew.
(Djennane et al., 2023)
SDN1
CRISPR/Cas
Université de Strasbourg
Institut Jean-Pierre Bourgin (IJPB), France
Insect resistance: Apolygus lucorum are less attracted to the plant.
(Teng et al., 2024)
SDN1
CRISPR/Cas
Chinese Academy of Agricultural Sciences
Yunnan University
Shanxi Agricultural University
National Plant Protection Scientific Observation and Experiment Station
Biocentury Transgene (China) Co. Ltd., China
Fungal resistance: Enhanced resistance against Verticillium and Fusarium wilt, which threatens the cotton production world wide.
(Zhao et al., 2024)
SDN1
CRISPR/Cas
China Agricultural University
Xinjiang Academy of Agricultural Sciences, China
Insect-resistant plant.
( Wang et al., 2024 )
SDN1
CRISPR/Cas
Huazhong Agricultural University
Huanghuai University
Xinjiang Academy of Agricultural Sciences
School of Life Sciences, China
Fungal resistance: reduced symptoms caused by a powedry mildew infection.
(Olivares et al., 2021)
SDN1
CRISPR/Cas
National Institute of Agriculture Research, Chile

Traits related to abiotic stress tolerance

Reduced stomatal density. Intrinsic water-use efficiency was significantly impacted under both well-watered and drought conditions, making reduced stomatal density as a preferable trait.
( Clemens et al., 2022 )
SDN1
CRISPR/Cas
University of California
San Diego State University, USA

Traits related to improved food/feed quality

Low tartaric acid.
( Ren et al., 2016 )
SDN1
CRISPR/Cas
University of Chinese Academy of Sciences
Chinese Academy of Sciences, China
Promoted anthocyanin accumulation. Anthocyanins are plant secondary metabolites with a variety of biological functions.
( Tu et al., 2022 )
SDN1
CRISPR/Cas
Northwest A&
F University, China
High-oleic acid content. Oleic acid has better oxidative stability than linoleic acid due to its monounsaturated nature. High levels of linoleic acid reduces the oxidative stability of cottonseed oil, which can cause rancidity, a short shelf life and production of detrimental trans-fatty acids.
( Chen et al., 2020 )
SDN1
CRISPR/Cas
Cotton Research Center of Shandong Academy of Agricultural Sciences
Huazhong Agricultural University, China

Traits related to increased plant yield and growth

Improved root growth under high and low nitrogen conditions.
( Wang et al., 2017 )
SDN1
CRISPR/Cas
Anhui Agricultural University
Chinese Academy of Agricultural Sciences, China
Enlarged leaf and petal sizes resulting in bigger flowers. The size of a floral organ is one of the ornamental traits of strawberry.
( Zhao et al., 2023 )
SDN1
CRISPR/Cas
Shandong Agricultural University, China
Altered branch and petiole angles.
( Kangben et al., 2023 )
SDN1
CRISPR/Cas
Clemson University
HudsonAlpha Institute for Biotechnology
United States Department of Agriculture (USDA)
Cotton incorporated, USA

Traits related to industrial utilization

Guidance for creating male-sterile lines to facilitate hybrid cotton production. Exploit heterosis for improvement of cotton.
( Ma et al., 2022 )
SDN1
CRISPR/Cas
Huazhong Agricultural University
Huanggang Normal University
Xinjiang Academy of Agricultural Sciences
Institute of Cotton Research of Chinese Academy of Agricultural Sciences, China

Traits related to herbicide tolerance

Glyphosate & hppd inhibitor herbicides, for example tembotrione
( D'Halluin et al., 2013 )
SDN2
CRISPR/Cas
Bayer CropScience N.V, Belgium

Traits related to product color/flavour

Albino phenotype.
( Wilson et al., 2019 )
SDN1
CRISPR/Cas
NIAB EMR, UK
Crop modification: albino phenotype.
(Wang et al., 2017)
SDN1
CRISPR/Cas
Huazhong Agricultural University, China
University of Pennsylvania, USA
Fruit coloration. Fruit color affects consumer preference and is one of the breeding objectives of great interests. For example, white-fruited cultivars are sold at a much higher price than red-fruited cultivars.
( Gao et al., 2020 )
SDN1
CRISPR/Cas
Huazhong Agricultural University, China
University of Maryland, USA

Traits related to storage performance

Improved strawberry fruit firmness. The postharvest shelf life is highly limited by the loss of firmness, making firmness one of the most important fruit quality traits.
( López-Casado et al., 2023 )
SDN1
CRISPR/Cas
Universidad de Málaga
Universidad de Córdoba, Spain