2013
Project 4: Sequence-based detection techniques to monitor microbial (target and non-target organisms) populations based on management practices
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Data analysisData Management
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Leslie Domier, USDA/ARS-University of Illinois
Co-Principal Investigators:
Ahmad Fakhoury, Southern Illinois University
Youfu Zhao, University of Illinois at Urbana-Champaign
Kris Lambert, University of Illinois-Carbondale
Glen Hartman, USDA/ARS-University of Illinois
James Haudenshield, USDA/ARS-University of Illinois
+4 More
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

The relative abundance of soil-borne and leaf-associated microorganisms and nematodes will be assessed by extracting DNA from soil and leaf tissues of control and fungicide treated, insecticide-treated and nematicide-treated plants.

The DNA samples will be selectively amplified, and subjected to high throughput sequencing and computational analysis for the identification and quantification of the prevalent microorganisms and nematodes. The structures of populations will be compared among treatments and locations to assess the impacts of chemical treatments on target and non-target organisms. The analysis will permit the identification of changes in the populations of novel microorganisms...

Unique Keywords:
#analytical standards & measurements
Information And Results
Project Deliverables

Final Project Results

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.