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dc.contributor.authorNishimura, Kazusaen
dc.contributor.authorMotoki, Koen
dc.contributor.authorYamazaki, Akiraen
dc.contributor.authorTakisawa, Rihitoen
dc.contributor.authorYasui, Yasuoen
dc.contributor.authorKawai, Takashien
dc.contributor.authorKoichiro, Ushijimaen
dc.contributor.authorNakano, Ryoheien
dc.contributor.authorNakazaki, Tetsuyaen
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.accessioned2022-11-09T08:18:04Z-
dc.date.available2022-11-09T08:18:04Z-
dc.date.issued2022-04-
dc.identifier.urihttp://hdl.handle.net/2433/277076-
dc.description.abstractMIG-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.isoeng-
dc.publisherOxford University Press (OUP)en
dc.publisherKazusa DNA Research Instituteen
dc.rights© The Author(s) 2022. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.en
dc.rightsThis 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.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectMIG-seqen
dc.subjectgenotypingen
dc.subjectwheaten
dc.titleMIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.)en
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleDNA Researchen
dc.identifier.volume29-
dc.identifier.issue2-
dc.relation.doi10.1093/dnares/dsac011-
dc.textversionpublisher-
dc.identifier.artnumdsac011-
dc.identifier.pmid35412600-
dcterms.accessRightsopen access-
datacite.awardNumber20K15502-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K15502/-
dc.identifier.pissn1340-2838-
dc.identifier.eissn1756-1663-
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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