genome search | EU-SAGE

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 48 results

Traits related to biotic stress tolerance

Viral resistance: increased control on viral pathogen Banana streak virus (BSV). The BSV integrates in the banana host genome as endogenous BSV (eBSV). When banana plants are stressed, the eBSV produces infectious viral particles and thus the plant develops disease symptoms.
(Tripathi et al., 2019)

SDN1
CRISPR/Cas

International Institute of Tropical Agriculture (IITA), Kenya
University of California, USA

Fungal resistance: Resistance against the blast fungus Mangaporthe oryzae.
(Bundó et al., 2024)

SDN1
CRISPR/Cas

Campus Universitat Autònoma de Barcelona (UAB)
Consejo Superior de Investigaciones Científcas (CSIC), Spain
Academia Sinica No 128, Taiwan

Plant parasitic resitance: Broomrape resistant plants. Broomrape (Orobanche cumana Wallr) threatens the sunflower production in countries in Central and Eastern Europe as well as in Spain, Turkey, Israel, Iran, Kazakhstan, and China.
(Yildirim et al., 2023)

SDN1
CRISPR/Cas

Department of Molecular Bioloqy and Genetics Ondokuz Mayıs University
Sunflower Institute of Field and Vegetable Crops
Department of Biomedical Engineering Akdeniz University, Turkey

Resistance against a protist pathogen: stable resistance against clubroot disease. Clubroot disease is caused by the protist Plasmodiophora brassicae Woronin and can result in a 10-15% yield loss in Brassica species as well as related crops.
(Hu et al., 2023)

SDN1
CRISPR/Cas

Saskatoon Research and Development Centre, Canada

Bacterial resistance: Enhanced resistance to Xanthomonas campestris pv. musacearum, causing Bananas Xanthomonas wilt (BXW). Overall economic losses caused by Xanthomonas campestris were estimated at 2-8 billion USD over a decade.
(Tripathi et al., 2021)

SDN1
CRISPR/Cas

International Institute of Tropical Agriculture (IITA), Kenya

Broad-spectrum disease resistance without yield loss.
( Sha et al., 2023 )

SDN1
CRISPR/Cas

Huazhong Agricultural University
Chengdu Normal University
Jiangxi Academy of Agricultural Sciences
Anhui Agricultural University
BGI-Shenzhen
Northwest A&
F University
Shandong Academy of Agricultural Sciences, China
Université de Bordeaux, France
University of California
The Joint BioEnergy Institute, USA
University of Adelaide, Australia

Resistance to parasitic weed: Striga spp. The parasitic plant reduces yields of cereal crops worldwide.
(Hao et al., 2023)

SDN1
CRISPR/Cas

University of Nebraska-Lincoln
Pennsylvania State University, USA
International Maize and Wheat Improvement Center (CIMMYT), Senegal
Kenyatta University, Kenya

Viral resistance: Increased resistance against watermelon mosaic virus (WMV), papaya ringspot virus (PRSV), and zucchini yellow mosaic virus (ZYMV).
(Fidan et al., 2023)

SDN1
CRISPR/Cas

Akdeniz University
Research and Development Department AD ROSSEN Seeds, Turkey

Fungal resistance: resistance to Fusarium graminearum. Fusarium head blight (FHB) is an economically important disease, affecting both yield and grain quality of maize, wheat and barley.
(Brauer et al., 2020)

SDN1
CRISPR/Cas

Ottawa Research and Development Centre, Canada

Bacterial resistance: resistance against banana Xanthomonas wilt (BXW) disease, caused by Xanthomonas campestris pv. musacearum. BXW forms a great threat to banana cultivation in East and Central Africa.
(Ntui et al., 2023)

SDN1
CRISPR/Cas

International Institute of Tropical Agriculture, Kenya

Traits related to abiotic stress tolerance

Reduced cuticle permeability and enhanced drought tolerance.
( He et al., 2022 )

SDN1
CRISPR/Cas

Northwest A&
F University
USA
University of British Columbia, Canada

Improved salinity tolerance.
( Wang et al., 2022 )

SDN1
CRISPR/Cas

National Taiwan University, Taiwan
University of North Carolina, USA

Drought and salt tolerance.
( Curtin et al., 2018 )

SDN1
CRISPR/Cas

University of Minnesota, USA
The University of Newcastle, Australia

Drought tolerance.
( Njuguna et al., 2018 )

SDN1
CRISPR/Cas

Ghent University
Center for Plant Systems Biology, Belgium
Jomo Kenyatta University of Agriculture and Technology, Kenya

Traits related to improved food/feed quality

Highly specific detection of Ochratoxin A (OTA) in cereal samples. OTA is classified as a Class 2B carcinogens. The method can be flexibly customized to detect a wide range of small molecular targets and holds great promise as a versatile sensing kit with applications in various fields requiring sensitive and specific detection of diverse analytes.
( Chen et al., 2023 )

SDN1
CRISPR/Cas

Ningbo University
Hainan University
Ningbo Clinical Pathology Diagnosis Center, China
University of New South Wales, Australia

Specific differences in grain morphology, composition and (1,3;1,4)-β-glucan content. Barley rich in (1,3;1,4)-β-glucan, a source of fermentable dietary fibre, is useful to protect against various human health conditions. However, low grain (1,3;1,4)-β-glucan content is preferred for brewing and distilling.
( Garcia-Gimenez et al., 2020 )

SDN1
CRISPR/Cas

The James Hutton Institute
University of Dundee, UK
University of Adelaide
La Trobe University, Australia

Fine-tuning the amylose content, one of the major contributors to the eating and cooking quality.
( Xu et al., 2021 )

Jiangsu Academy of Agricultural Sciences/Nanjing Branch of Chinese National Center for Rice Improvement
Yangzhou University
Chinese Academy of Sciences, China
CSIRO Agriculture and Food, Australia

Altered protein composition due to mutations in seed storage proteins. Two major families of storage proteins, account for about 70% of total soy seed protein. Some major biochemical components influencing the quality of soy food products, for example tofu, are both the quantity and quality of storage proteins in soybean seeds.
( Li et al., 2019 )

SDN1
CRISPR/Cas

Agriculture and Agri-Food Canada
Western University
Harrow Research and Development Centre, Canada
Sun Yat-sen University
Guangdong Academy of Agricultural Sciences
Minnan Normal University
China

Low glutelin content in the rice germplasm: patients with chronic kidney disease (CKD) and phenylketonuria (PKU) need to eat rice with low glutelin content.
(Chen et al., 2022)

SDN1
CRISPR/Cas

Nanjing Branch of Chinese National Center for Rice Improvement
Yangzhou University
Henan Agricultural University
Jiangsu Academy of Agricultural Sciences, China
CSIRO Agriculture and Food, Australia

Production of high amylose and resistant starch rice. Starch accounts for 80 to 90% of the total mass of rice seeds and is low in resistant starch (RS), which is beneficial in preventing various diseases. Starch with high amylose content (AC) and RS have a lower GI value. Foods with low GI value have beneficial effects on glycemic control.
( Wang et al., 2021 )

SDN1
CRISPR/Cas

National Chiayi University
Taiwan Agricultural Research Institute Chiayi Agricultural Experiment Branch, Taiwan

Enhanced fatty acid composition: high oleic acid content. High oleic sunflower is desirable because of health benefits and industrial use.
(Uslu et al., 2022)

SDN1
CRISPR/Cas

Marmara University
Gebze Technical University, Turkey

Reduced amount of saturated fatty acids (FA) in soybean seeds for nutrititional improvement. FA are linked to cardiovascular diseases.
( Ma et al., 2021 )

SDN1
CRISPR/Cas

Zhejiang University, China
La Trobe University, Australia

Reduced browning and acrylamide. Acrylamide is a contaminant which forms during the baking, toasting and high-temperature processing of foods and is regarded as a potential carcinogen and neurotoxin.
( Nguyen Phuoc Ly et al., 2023 )

SDN1
CRISPR/Cas

Murdoch University, Australia

Improved seed oil content: increased levels of monounsaturated fatty acids and decreased levels of polyunsaturated fatty acids.
(Wang et al., 2022)

SDN1
CRISPR/Cas

Huazhong Agricultural University, China
National Research Council Canada, Canada

Reduced flavonoids and improved fatty acid composition with higher linoleic acid and linolenic acid, valuable for rapeseed germplasm and breeding. The genetic improvement has great significance in the economic value of rapeseeds.
( Xie et al., 2020 )

SDN1
CRISPR/Cas

Yangzhou University
The Ministry of Education of China, China
University of Western Australia, Australia

Reduced levels of very long chain saturated fatty acids in kernels, which are associated with revalance of atherosclerosis and cardiovascular disease.
( Huai et al., 2024 )

SDN1
CRISPR/Cas

Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, China
International Crops Research Institute of the Semi-Arid Tropics (ICRISAT), India
Murdoch University, Australia

Changing grain composition: decrease in the prolamines, an increase in the glutenins, increased starch content, amylose content, and β-glucan content. The protein matrix surrounding the starch granules was increased.
(Yang et al., 2020)

SDN1
CRISPR/Cas

Sichuan Agricultural University, China
Norwich Research Park, UK
CSIRO Agriculture and Food, Australia

Traits related to increased plant yield and growth

Confer shoot architectural changes for increased resource inputs to increase crop yield.
( Stanic et al., 2021 )

SDN1
CRISPR/Cas

University of Calgary, Canada
SRM Institute of Technology, India

Altering leaf inclination angle which has the potential to elevate yield in high-density plantings.
( Brant et al., 2022 )

SDN1
CRISPR/Cas

University of Florida
DOE Center for Advanced Bioenergy and Bioproducts Innovation, USA
Kastamonu University, Turkey

Semi-dwarf phenotype to improve lodging resistance and increased seed dormancy. Increased seed dormancy can be beneficial for use in the malting industry.
( Cheng et al., 2023 )

SDN1
CRISPR/Cas

University of Tasmania
Murdoch University
Department of Primary Industries and Regional Development, Australia
Chinese Academy of Agricultural Sciences, China

Increase in plant height, tiller number, grain protein content and yield. 1.5- to 2.8-fold increase in total chlorophyll content in the flag leaf at the grain filling stage. Delayed senescence by 10–14 days. High nitrogen content in shoots under low nitrogen conditions.
( Karunarathne et al., 2022 )

SDN1
CRISPR/Cas

Murdoch University
Department of Primary Industries and Regional Development, Australia

Positive regulation for grain dormancy. Lack of grain dormancy in cereal crops causes losses in yield and quality because of preharvest sprouting.
( Lawrenson et al., 2015 )

SDN1
CRISPR/Cas

Norwich Research Park, UK
Murdoch University, Australia

Traits related to industrial utilization

Generating male sterility lines (MLS) and enhanced tolerance against drought stress. Using MLS in hybrid seed production reduces costs and ensures high purity of the varieties because it does not produce pollen and has exserted stigmas.
( Secgin et al., 2022 )

SDN1
CRISPR/Cas

Ondokuz Mayıs University
Burdur Mehmet Akif Ersoy University
Ondokuz Mayıs University, Turkey
Agricultural Research Center (ARC), Egypt

Male sterility: mutants did not produce pollen and induced a parthenocarpic fruit set.
(Gökdemir et al., 2022)

SDN1
CRISPR/Cas

Ondokuz Mayıs University
Burdur Mehmet Akif Ersoy University, Turkey

Generation of male-sterile hexaploid wheat lines for use in hybrid seed production. The development and adoption of hybrid seed technology have led to dramatic increases in agricultural productivity.
( Okada et al., 2019 )

SDN1
CRISPR/Cas

The University of Adelaide, Australia
Huaiyin Normal University, China

Manipulation of the biosynthesis of bioactive compound alkaloids. Poppy produces many benzylisoquinoline alkaloids (BIAs) used in biomedicines.
( Alagoz et al., 2016 )

SDN1
CRISPR/Cas

Cankiri Karatekin University
Dokuz Eylul University, Turkey

Conversion of hulled into naked barley.
( Gasparis et al., 2018 )

SDN1
CRISPR/Cas

National Research Institute
Warsaw University of Life Sciences (SGGW), Poland

Smaller petunia plants with high flower abundance.
( Abdulla et al., 2024 )

SDN1
CRISPR/Cas

Ondokuz Mayis University, Turkey
Agricultural Research Center (ARC), Egypt

Traits related to herbicide tolerance

Imazethapyr, imazapic
( Wang et al., 2020 )

SDN1
CRISPR/Cas

Jiangsu Academy of Agricultural Sciences/Nanjing Branch of Chinese National Center for Rice Improvement
Yangzhou University
Jiangsu University, China
CSIRO Agriculture and Food, Australia

Herbicide tolerance (ALS-targeting)
( Wang et al., 2020 )

SDN1
CRISPR/Cas

Jiangsu Academy of Agricultural Sciences/Nanjing Branch of Chinese National Center for Rice Improvement
Yangzhou University
Jiangsu Academy of Agricultural Sciences
Jiangsu University, China
CSIRO Agriculture and Food, Australia

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

ODM

Cibus, Canada
Cibus, USA

Herbicide glyphosate tolerance.
( Arndell et al., 2019 )

SDN1
CRISPR/Cas

CSIRO
New South Wales Department of Primary Industries
The University of Adelaide, Australia

Traits related to product color/flavour

Albinism and dwarfing.
( Naim et al., 2018 )

SDN1
CRISPR/Cas

Queensland University of Technology, Australia

Improved aroma, flavour and fatty acid (FA) profiles of pea seeds.
( Bhowmik et al., 2023 )

SDN1
CRISPR/Cas

National Research Council Canada (NRC)
University of Calgary
University of Saskatchewan
Agriculture and Agri-Food Canada (AAFC)
St. Boniface Hospital Research, Canada
John Innes Centre, UK

Albino phenotype.
( Syombua et al., 2021 )

SDN1
CRISPR/Cas

International Institute of Tropical Agriculture (IITA)
University of Nairobi, Kenya
University of Missouri
Iowa State University
Donald Danforth Plant Science Center, USA

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

A significant reduction of saponins. Saponins are a source of bitter, and metallic off-flavors in products containing peas.
( Hodgins et al., 2024 )

SDN1
CRISPR/Cas

Universityof Calgary
Universityof Saskatchewan
National Research Council of Canada, Canada

Traits related to storage performance

Extended root shelf-life, which decreases its wastage.
( Mukami et al., 2023 )

SDN1
CRISPR/Cas

Kenyatta University
Jomo Kenyatta University of Agriculture Technology
Pwani University Kilifi, Kenya

Traits categories

Genome Editing Technique

Countries

Plant

Sdn Type

Traits related to biotic stress tolerance

Traits related to abiotic stress tolerance

Traits related to improved food/feed quality

Traits related to increased plant yield and growth

Traits related to industrial utilization

Traits related to herbicide tolerance

Traits related to product color/flavour

Traits related to storage performance