Genomic Variation in Korean japonica Rice Varieties

Genes (Basel). 2021 Oct 30;12(11):1749. doi: 10.3390/genes12111749.

Abstract

Next-generation sequencing technologies have enabled the discovery of numerous sequence variations among closely related crop varieties. We analyzed genome resequencing data from 24 Korean temperate japonica rice varieties and discovered 954,233 sequence variations, including 791,121 single nucleotide polymorphisms (SNPs) and 163,112 insertions/deletions (InDels). On average, there was one variant per 391 base-pairs (bp), a variant density of 2.6 per 1 kbp. Of the InDels, 10,860 were longer than 20 bp, which enabled conversion to markers resolvable on an agarose gel. The effect of each variant on gene function was predicted using the SnpEff program. The variants were categorized into four groups according to their impact: high, moderate, low, and modifier. These groups contained 3524 (0.4%), 27,656 (2.9%), 24,875 (2.6%), and 898,178 (94.1%) variants, respectively. To test the accuracy of these data, eight InDels from a pre-harvest sprouting resistance QTL (qPHS11) target region, four highly polymorphic InDels, and four functional sequence variations in known agronomically important genes were selected and successfully developed into markers. These results will be useful to develop markers for marker-assisted selection, to select candidate genes in map-based cloning, and to produce efficient high-throughput genome-wide genotyping systems for Korean temperate japonica rice varieties.

Keywords: InDel; SNP; japonica; marker; resequencing; rice; variation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Genome, Plant
  • High-Throughput Nucleotide Sequencing
  • INDEL Mutation*
  • Oryza / genetics
  • Oryza / growth & development*
  • Polymorphism, Single Nucleotide*
  • Quantitative Trait Loci
  • Republic of Korea
  • Whole Genome Sequencing / methods*