Open access resources for genome-wide association mapping in rice. Academic Article uri icon

Overview

MeSH

  • Agriculture
  • Alleles
  • Computational Biology
  • Epistasis, Genetic
  • Genetic Variation
  • Genome-Wide Association Study
  • Genotype
  • Phenotype
  • Plant Breeding
  • Polymorphism, Single Nucleotide
  • Principal Component Analysis

MeSH Major

  • Access to Information
  • Chromosome Mapping
  • Databases, Genetic
  • Edible Grain
  • Genome, Plant
  • Oryza
  • Quantitative Trait Loci

abstract

  • Increasing food production is essential to meet the demands of a growing human population, with its rising income levels and nutritional expectations. To address the demand, plant breeders seek new sources of genetic variation to enhance the productivity, sustainability and resilience of crop varieties. Here we launch a high-resolution, open-access research platform to facilitate genome-wide association mapping in rice, a staple food crop. The platform provides an immortal collection of diverse germplasm, a high-density single-nucleotide polymorphism data set tailored for gene discovery, well-documented analytical strategies, and a suite of bioinformatics resources to facilitate biological interpretation. Using grain length, we demonstrate the power and resolution of our new high-density rice array, the accompanying genotypic data set, and an expanded diversity panel for detecting major and minor effect QTLs and subpopulation-specific alleles, with immediate implications for rice improvement.

publication date

  • February 4, 2016

has subject area

  • Access to Information
  • Agriculture
  • Alleles
  • Chromosome Mapping
  • Computational Biology
  • Databases, Genetic
  • Edible Grain
  • Epistasis, Genetic
  • Genetic Variation
  • Genome, Plant
  • Genome-Wide Association Study
  • Genotype
  • Oryza
  • Phenotype
  • Plant Breeding
  • Polymorphism, Single Nucleotide
  • Principal Component Analysis
  • Quantitative Trait Loci

Research

keywords

  • Journal Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4742900

Digital Object Identifier (DOI)

  • 10.1038/ncomms10532

PubMed ID

  • 26842267

Additional Document Info

start page

  • 10532

volume

  • 7