SNPs
SNPs enables genome-wide analysis of single nucleotide polymorphisms (SNPs) and insertions/deletions (InDels) in rice (Oryza sativa L.) to associate genetic variation with phenotypes such as grain size and weight.
Key Features:
- Polymorphism database: Contains genotype, phenotype, and variety information with updated SNPs and InDels for rice.
- 3000 Genomes Project integration: Includes data from the 3000 Genomes Project for comparative genomics across diverse rice accessions.
- Polymorphism analysis: Enables exploration and cataloging of SNPs and InDels associated with domestication and trait selection.
- Query functionalities: Provides enhanced query capabilities for retrieving genotype and variant information.
- Trait association studies: Supports identification of SNPs associated with contrasting grain size/weight traits and validation using recombinant inbred line (RIL) mapping populations.
- Evolutionary insights: Identifies evolutionary important sites, including a ~6 Mb polymorphism desert on chromosome 5 linked to grain weight QTL and evidence of positive selection and selection sweeps.
- Breeding markers: Supplies markers and evolutionary nodes relevant for selection of yield- and quality-related traits in breeding programs.
Scientific Applications:
- Genetic architecture and domestication: Investigation of the genetic basis of rice traits and domestication history.
- High-throughput genotyping and comparative genomics: Support for large-scale genotyping and comparative analyses using 3000 Genomes Project data.
- Trait mapping and validation: Mapping of SNPs linked to agronomic traits and validation in RIL mapping populations.
- Marker-assisted breeding: Informing breeding strategies through identified markers for grain size, weight, and other agronomic traits.
Methodology:
Resequencing of diverse rice genotypes to identify SNPs and InDels, phylogenetic analysis to determine evolutionary relationships, and validation of associations using recombinant inbred line (RIL) mapping populations.
Topics
Details
- Added:
- 11/14/2019
- Last Updated:
- 12/21/2020
Operations
Publications
Kumar A, Daware A, Kumar A, Kumar V, Krishnan S G, Mondal S, Patra BC, Singh AK, Tyagi AK, Parida SK, Thakur JK. Genome-wide analysis of polymorphisms identified domestication-associated polymorphism desert carrying important rice grain size/weight QTL. Unknown Journal. 2019. doi:10.1101/725242.