Skip to main content
ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Molecular Plant Pathology Laboratory » Research » Research Project #442895

Research Project: Application of Bioinformatics Resources toward Transcriptomic Discovery of Sugar Beet and Functional Analysis

Location: Molecular Plant Pathology Laboratory

Project Number: 8042-21220-262-002-S
Project Type: Non-Assistance Cooperative Agreement

Start Date: Sep 30, 2022
End Date: Sep 29, 2027

Objective:
The goal of this agreement is to enhance research through collaborations that utilize cutting-edge next-generation sequencing and bioinformatics technologies as tools for identification of gene candidates in sugar beet that confer resistance to sugar beet pathogens. Two specific objectives will be pursued through this Agreement: Objective 1: Using bioinformatics resources of the Cooperator, identify new and emerging diseases and genes involved in host/pathogen interactions in sugar beet. Objective 2: Using bioinformatics resources of the Cooperator, identify gene-candidates associated with sugar beet resistance to biotic stresses.

Approach:
Comprehensive transcriptomic, proteomic and functional analysis of alfalfa accessions resistant and susceptible to disease-causing pathogens Next generation sequencing, de-novo assembly and transcriptome analysis of nematode populations. Generation of small interfering (si)RNA or dsRNA constructs for RNAi-mediated gene silencing via nematode soaking assays and direct delivery in planta. Evaluation of RNAi-mediated gene silencing efficiency for disruption of nematode development. Transient expression of genes involved in host resistance and nematode parasitism in model plants to identify potential targets for nematode control. Two specific objectives will be pursued through this Agreement: Objective 1: Next generation sequencing (NGS) of sugar beet samples from the USA (ARS) Computational analysis of NGS data (Cooperator). Objective 2: NGS of sugar beet accessions resistant and susceptible to disease-causing pathogens (ARS). Transcriptomic, proteomic and functional analysis of NGS data (Cooperator).