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dc.contributor.author | Nishimura, Kazusa | en |
dc.contributor.author | Motoki, Ko | en |
dc.contributor.author | Yamazaki, Akira | en |
dc.contributor.author | Takisawa, Rihito | en |
dc.contributor.author | Yasui, Yasuo | en |
dc.contributor.author | Kawai, Takashi | en |
dc.contributor.author | Koichiro, Ushijima | en |
dc.contributor.author | Nakano, Ryohei | en |
dc.contributor.author | Nakazaki, Tetsuya | en |
dc.contributor.alternative | 西村, 和紗 | ja |
dc.contributor.alternative | 元木, 航 | ja |
dc.contributor.alternative | 山崎, 彬 | ja |
dc.contributor.alternative | 安井, 康夫 | ja |
dc.contributor.alternative | 中野, 龍平 | ja |
dc.contributor.alternative | 中﨑, 鉄也 | ja |
dc.date.accessioned | 2022-11-09T08:18:04Z | - |
dc.date.available | 2022-11-09T08:18:04Z | - |
dc.date.issued | 2022-04 | - |
dc.identifier.uri | http://hdl.handle.net/2433/277076 | - |
dc.description.abstract | MIG-seq (Multiplexed inter-simple sequence repeats genotyping by sequencing) has been developed as a low cost genotyping technology, although the number of polymorphisms obtained is assumed to be minimal, resulting in the low application of this technique to analyses of agricultural plants. We applied MIG-seq to 12 plant species that include various crops and investigated the relationship between genome size and the number of bases that can be stably sequenced. The genome size and the number of loci, which can be sequenced by MIG-seq, are positively correlated. This is due to the linkage between genome size and the number of simple sequence repeats (SSRs) through the genome. The applicability of MIG-seq to population structure analysis, linkage mapping, and quantitative trait loci (QTL) analysis in wheat, which has a relatively large genome, was further evaluated. The results of population structure analysis for tetraploid wheat showed the differences among collection sites and subspecies, which agreed with previous findings. Additionally, in wheat biparental mapping populations, over 3, 000 SNPs/indels with low deficiency were detected using MIG-seq, and the QTL analysis was able to detect recognized flowering-related genes. These results revealed the effectiveness of MIG-seq for genomic analysis of agricultural plants with large genomes, including wheat. | en |
dc.language.iso | eng | - |
dc.publisher | Oxford University Press (OUP) | en |
dc.publisher | Kazusa DNA Research Institute | en |
dc.rights | © The Author(s) 2022. Published by Oxford University Press on behalf of Kazusa DNA Research Institute. | en |
dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | MIG-seq | en |
dc.subject | genotyping | en |
dc.subject | wheat | en |
dc.title | MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.) | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | DNA Research | en |
dc.identifier.volume | 29 | - |
dc.identifier.issue | 2 | - |
dc.relation.doi | 10.1093/dnares/dsac011 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | dsac011 | - |
dc.identifier.pmid | 35412600 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 20K15502 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K15502/ | - |
dc.identifier.pissn | 1340-2838 | - |
dc.identifier.eissn | 1756-1663 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.awardTitle | 異質倍数性を逆手に取る:コムギNAM集団の効率的作出による有用遺伝子の網羅的探索 | ja |
出現コレクション: | 学術雑誌掲載論文等 |

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