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Genomic Variation in Korean japonica Rice Varieties
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 nucleoti...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623644/ https://www.ncbi.nlm.nih.gov/pubmed/34828355 http://dx.doi.org/10.3390/genes12111749 |
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author | 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 |
author_facet | 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 |
author_sort | Ji, Hyeonso |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8623644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86236442021-11-27 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 Genes (Basel) Article 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. MDPI 2021-10-30 /pmc/articles/PMC8623644/ /pubmed/34828355 http://dx.doi.org/10.3390/genes12111749 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article 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 Genomic Variation in Korean japonica Rice Varieties |
title | Genomic Variation in Korean japonica Rice Varieties |
title_full | Genomic Variation in Korean japonica Rice Varieties |
title_fullStr | Genomic Variation in Korean japonica Rice Varieties |
title_full_unstemmed | Genomic Variation in Korean japonica Rice Varieties |
title_short | Genomic Variation in Korean japonica Rice Varieties |
title_sort | genomic variation in korean japonica rice varieties |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623644/ https://www.ncbi.nlm.nih.gov/pubmed/34828355 http://dx.doi.org/10.3390/genes12111749 |
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