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Genomic Variation in Korean japonica Rice Varieties.
Ji, Hyeonso; Shin, Yunji; Lee, Chaewon; Oh, Hyoja; Yoon, In Sun; Baek, Jeongho; Cha, Young-Soon; Lee, Gang-Seob; Kim, Song Lim; Kim, Kyung-Hwan.
Affiliation
  • Ji H; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Shin Y; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Lee C; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Oh H; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Yoon IS; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Baek J; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Cha YS; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Lee GS; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Kim SL; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
  • Kim KH; Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, Rural Development Administration (RDA), Jeonju 54874, Korea.
Genes (Basel) ; 12(11)2021 10 30.
Article in En | MEDLINE | ID: mdl-34828355
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza / Polymorphism, Single Nucleotide / INDEL Mutation / Whole Genome Sequencing Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Genes (Basel) Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza / Polymorphism, Single Nucleotide / INDEL Mutation / Whole Genome Sequencing Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Genes (Basel) Year: 2021 Document type: Article