2019
Improvement Soybean Resistance to Nematodes with Synthetic RNA Inteference
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
NematodePest
Lead Principal Investigator:
Bin Yu, University of Nebraska
Co-Principal Investigators:
Project Code:
1727
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

This project will develop a new RNA interference technology that enable soybean resistance to SCN. This technology will target multiple genes at the same time and has the potential to eliminate the negative effect of gene silencing on the application of RNAi. This technology therefore will provide soybean a sustainable and efficient way to fight against SCN. Consequently, we expect to generate SCN resistant soybean varieties that will improve yield. More importantly, this technology can be combined with existing SCN resistant traits to eliminate the potential adaptation of SCN to resistance. In addition, this project will lead to a better understanding of mechanisms used by soybean to fight...

Unique Keywords:
#nematodes
Information And Results
Project Deliverables

This project will generate SCN resistant soybean varieties, and therefore has the potential to help the management of SCN and to benefit soybean production in US including Nebraska. In addition, this project will develop a novel synthetic-RNA interference technology that enables soybean resistance to SCN. This technology will target multiple genes at the same time to enhance RNAi effects on SCN. Furthermore, we will use Polymerase III (Pol III) promoters to eliminate the negative effect of endogenous gene silencing on the application of RNAi. If successful, it will open doors to apply this technology to improve other important soybean traits, such as fungi disease resistance and other insects. Thus this project should have the potential to benefit soybean production more broadly. This project will also study the potential adaptation of SCN to the RNAi from soybean. This will provide intellectual basis to design RNAi against SCN and other insects. In addition, this technology can be combined with existing SCN resistant traits to eliminate the potential adaptation of SCN to resistance. In summary, this project will lead to an environmental friendly and cost efficient way to control SCN disease and therefore benefit the producer.

Final Project Results

Updated January 15, 2020:

View uploaded report PDF file

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.