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United States Department of Agriculture

Agricultural Research Service

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Location: Cereal Disease Lab

2013 Annual Report

1a. Objectives (from AD-416):
Overall objective is to improve the existing Puccinia graminis draft genome sequence (strain 7a) and provide a complete web resource for the scientific community. The specific objectives are to: (a) improve the reference genome (b) comprehensively refine the annotation using RNA-sequencing (c) establish a genetic framework to resolve haplotypes, (d) provide a reference for the current epidemic rust strain, Ug99, and (e) provide a web-based information infrastructure for delivery of this information.

1b. Approach (from AD-416):
Objectives 1 and 2 involve the improvement of the existing P. graminis reference genome, through the genetic linkage of existing supercontigs and the generation of novel RNA-seq data to support gene annotation. Objective 3 is to prototype a novel genetic approach to distinguish the two haplotypes of 7a, which if successful, will also lead to an improvement in the quality of the 7a reference. Objective 4 is to generate a de novo assembled reference sequence for the Ug99 strain and to annotate this genome (the improved annotation of the reference strain will assist in this process). Objective 5 is to use both these strains as reference sequence to integrate other high throughput data sets (specifically, with variation data from other strains of Pgt) and to disseminate this data to the scientific community in the context of other fungal genomic data, through Ensembl (a genome informatics portal maintained by the European Bioinformatics Institute) and the Broad Institute rust fungal genomes website.

3. Progress Report:
This project is part of a larger program on the genomic analysis of the wheat stem rust pathogen and development of genomic resources for the wheat rust community. SNP data of a mapping population of the wheat stem rust pathogen was generated from NexGen sequencing data and analysis was initiated. Training on a new genetic mapping program design for large data sets generated by NexGen sequencing was completed and preliminary analysis of the wheat stem rust pathogen data set was run. RNA-seq data from the sexual stage of the wheat stem rust fungus was analyzed and pathogen genes that are differentially expressed during infection of wheat were identified.

4. Accomplishments

Last Modified: 06/25/2017
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