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.