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Variation block-based genomics method for the detection of functional loci

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  • URLhttps://db.koreascholar.com/Article/Detail/298096
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한국육종학회 (The Korean Breeding Society)
초록

In contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for screening target loci with agricultural traits. We propose the variation block method, a three-step process for recombination block detection and comparison. The first step is to detect variations by comparing short-read DNA sequences of the cultivar to a reference genome of the target crop. Next, sequence blocks with variation patterns are examined and defined. The boundaries between the variation-containing sequence blocks are regarded as recombination sites. All the assumed recombination sites in the cultivar set are used to split the genomes, and the resulting sequence regions are named as variation blocks. Finally, the genomes are compared using the variation blocks. The variation block method identified recurring recombination blocks accurately and successfully represented block-level diversities in the publicly available genomes of 31 soybeans and 23 rice accessions. The practicality of this approach was demonstrated by the identification of a putative locus determining soybean hilum color. We suggest that the variation block method is an efficient genomics method for recombination block-level comparison of crop genomes. We expect that this method holds the prospect of developing crop genomics by bringing genomics technology to the field of crop breeding.

저자
  • Yul Ho Kim(National Institute of Crop Science, Rural Development Administration) Corresponding Author
  • Hyang Mi Park(National Institute of Crop Science, Rural Development Administration)
  • Tae-Young Hwang(National Institute of Crop Science, Rural Development Administration)
  • Ho-Sung Yoon(Department of Biology, Kyungpook National University)
  • Dongwoo Lee(Theragen Bio Institute, TheragenEtex)
  • Sunghoon Lee(Theragen Bio Institute, TheragenEtex)