Genetic Analysis Could Help Predict Sunflower PropertiesJuly 14, 2021
A team of researchers from Skolkovo Institute of Science and Technology and from the University of Southern California has identified the genetic markers that could help predict the composition of sunflower oil using genetic analysis.
The researchers used bioinformatics analysis to study 601 lines of cultivated sunflower from two major Russian gene banks and Agroplasma's collection. They used the results of the analysis to check the genetic diversity of the sunflower to compare with the global collection. The results revealed the genetic markers that are essential in the fatty acid oil composition of the sunflower which is not present in the international collection.
The study provides valuable information for breeders to develop sunflower varieties that can produce oils with different properties suitable for food and industrial uses. The data could also be used in producing sunflower varieties that can grow under different environmental stress.
For more details, read the article in Skoltech and the journal article in BMC Genomics.
You might also like:
- New Sunflower Seeds Improve Yields in Tanzania
- Australian Sunflower Genes Could Fortify U.S. Sunflowers
- New Project Aims to Decipher the Sunflower Genome
Biotech Updates is a weekly newsletter of ISAAA, a not-for-profit organization. It is distributed for free to over 22,000 subscribers worldwide to inform them about the key developments in biosciences, especially in biotechnology. Your support will help us in our mission to feed the world with knowledge. You can help by donating as little as $10.
See more articles:
News from Around the World
- WHO Releases Framework for Governance of Human Genome Editing
- Regulatory and Governance Considerations for Gene Drive Research
- Government Decisions Influence Consumer Perceptions towards GM Foods, Study
- Gene Drives Offer Sustainable Management of Vector-Borne Diseases -Experts
- New South Wales Lifts 18-year-old Ban on GM Crops
- Engineered Bacteria Produce All Colors of the Rainbow
- Genetic Analysis Could Help Predict Sunflower Properties
- EFSA Releases Assessment of GM Cotton GHB614 for Renewal Authorization
- Potential of Protein-Rich Faba Beans Unlocked; Anti-Nutrient Gene Discovered
- Efficient Engineering Platform in Methylotrophic Yeast Developed
- CABBI Reports First Successful Precision Breeding of Sugarcane Using CRISPR-Cas9 Genome Editing
- Study Reveals Citizens' Reactions to Genome Editing in Five Countries
Read the latest:
- Biotech Updates (May 31, 2023)
- Gene Editing Supplement (May 31, 2023)
- Gene Drive Supplement (February 22, 2023)
Subscribe to BU: