Genomics and Bioinformatics Research Unit Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
 

Research Project: GENOMICS AND BIOINFORMATICS RESEARCH IN AGRICULTURALLY IMPORTANT ORGANISMS

Location: Genomics and Bioinformatics Research Unit

Title: Identification of Candidate Genes in Rice for Resistance to Sheath Blight Disease by Whole Genome Sequencing

Authors
item Silva, James -
item Scheffler, Brian
item Sanabria, Yamid -
item DE Guzman, Christian -
item Galam, Dominique -
item Farmer, Andrew -
item Woodward, Jimmy -
item May, Grey -
item Oard, James -

Submitted to: Journal of Theoretical and Applied Genetics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: August 17, 2011
Publication Date: January 12, 2012
Citation: Silva, J., Scheffler, B.E., Sanabria, Y., De Guzman, C., Galam, D., Farmer, A., Woodward, J., May, G., Oard, J. 2012. Identification of Candidate Genes in Rice for Resistance to Sheath Blight Disease by Whole Genome Sequencing. Journal of Theoretical and Applied Genetics. 124(1),pp. 63-74.

Interpretive Summary: The rice genome was sequenced many years ago and technology now allows for relatively cost effective resequencing of important rice cultivars. Using the high quality rice reference genome it is then possible to sequence other varieties using short DNA fragments and compare them to the reference genome. This is very similar to assembling a puzzle by looking at the finished picture on the box cover with the short DNA fragments representing the puzzle pieces. In this study, 13 important rice cultivars were resequenced to a genome equivalent of around 5X genome coverage. The sequences were then compared to the reference genome and differences at the single base pair level were noted. These differences are known as Single Nucleotide Polymorphisms (SNP). SNPs in the area of Sheath Blight resistance (a very important disease in rice production) were noted. This opens the possibility to uncover better DNA markers for breeding purpose, in relation to sheath blight resistance, and may point to the key genes associated with resistance.

Technical Abstract: Recent advances in whole genome sequencing have allowed identification of genes for disease susceptibility in humans. The objective of our research was to exploit whole genome sequences of 13 rice (Oryza sativa L.) inbred lines to identify non-synonymous SNPs (nsSNPs) and candidate genes for resistance to sheath blight, a disease of worldwide significance. Whole genome sequencing by the Illumina GA IIx platform across all lines produced an average 5X coverage with ~ 700 K variants detected per line when compared to the Nipponbare reference genome. Variants were found in 11 of 12 chromosomes. A “common variant” and a “principal component-biplot” filtering strategy were developed to identify nsSNPs between two groups of known resistant and susceptible lines. A total of 333 nsSNPs detected in the resistant lines were absent in the susceptible group. More than 200 genes containing the selected nsSNPs were assigned to 42 categories based on gene family / gene ontology. Several candidate resistance genes belonged to families reported in previous studies, and three new QTL regions with novel candidates were also identified. A subset of 24 nsSNPs detected in 23 genes was selected for further study. All nsSNPs in this subset were found in dbSNP. Individual alleles of the 24 nsSNPs were evaluated by PCR whose presence or absence corresponded to known resistant or susceptible phenotypes of nine additional lines. Sanger sequencing confirmed presence of 12 selected nsSNPs in two lines. “Resistant” nsSNP alleles were detected in an accession of O. nivara that suggests sources for SB resistance may occur in additional Oryza sp. Results from this study provide a foundation for future basic research and marker-assisted breeding of rice lines for sheath blight resistance.

   

 
Project Team
Scheffler, Brian
Scheffler, Jodi
Erpelding, John
Percy, Richard
Stetina, Salliana - Sally
 
Publications
   Publications
 
Related National Programs
  Aquaculture (106)
  Plant Genetic Resources, Genomics and Genetic Improvement (301)
 
Related Projects
   DEVELOPMENT OF COTTON LEAF CURL VIRUS (CLCUV) DIAGNOSTIC TOOLS AND MONITORING OF CLCUV
   STABLE INTROGRESSION OF COTTON LEAF CURL VIRUS RESISTANCE INTO CULTIVATED COTTON AND GERMPLASM ENHANCEMENT
   INCREASE OF COTTON GERMPLASM WITH EMPHASIS ON NON-CULTIVATED SPECIES FOR EXAMINATION OF IMPORTANT DISEASE RESISTANCE TRAITS
   Identification and Introgression of Cotton Leaf Curl Virus Resistance into Cultivated Cotton
   ENHANCING COTTON GERMPLASM, IMPROVING RESISTANCE TO COTTON LEAF CURL VIRUS AND SUPPORTING COTTON BEST MANAGEMENT PRACTICES FOR SMALL FARMERS
   IDENTIFICATION OF EST-SSR AND SNP MARKERS FOR LINKAGE MAPPING IN DIOSCOREA ALATA L.(YAM)
   Mississippi Rice Variety Acceleration Breeding Project Proposal - Phase 2
   GENOMIC ANALYSIS OF CULTIVATED COTTON AND RELATED WILD SPECIES
   INVESTIGATION OF THE PEANUT GENOME
   BIOCOMPUTATIONAL TOOLS FOR ANALYSIS OF COMPLEX AGRICULTURAL GENOMES
   USING BIOINFORMATIC TOOLS TO INVESTIGATE THE BASIS OF RESISTANCE/TOLERANCE IN COTTON SPECIES TO COTTON LEAF CURL VIRUS (CLCUV)
   PAKISTAN COTTON LEAF CURL VIRUS PROJECT
   DEVELOPMENT OF DIAGNOSTIC SCREENING TOOLS AND EVALUATION OF TRANSGENIC TOMATO PLANTS FOR COTTON LEAF CURL VIRUS (CLCUV) RESISTANCE
   IMPROVING RESISTANCE TO COTTON LEAF CURL VIRUS (CLCUV) AND SUPPORTING COTTON BEST MANAGEMENT PRACTICES FOR SMALL FARMERS
   A physical, genetic, and functional sequence assembly of chromosomes 12 and 26 Gossypium hirsutum L. cv. TM-1 using mapped BACs (#13-603)
   Utilization of the Cotton and Genome Sequence of Gossypium Barbadense for Discovery of Rare Alleles in Upland Cotton Derived From G. Barbadense
 
 
Last Modified: 05/21/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House