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dc.contributor.authorSakai, Toshiyukien
dc.contributor.authorAbe, Akiraen
dc.contributor.authorShimizu, Motokien
dc.contributor.authorTerauchi, Ryoheien
dc.contributor.alternative堺, 俊之ja
dc.contributor.alternative寺内, 良平ja
dc.date.accessioned2022-10-03T07:04:06Z-
dc.date.available2022-10-03T07:04:06Z-
dc.date.issued2021-07-
dc.identifier.urihttp://hdl.handle.net/2433/276530-
dc.description.abstractCharacterizing epistatic gene interactions is fundamental for understanding the genetic architecture of complex traits. However, due to the large number of potential gene combinations, detecting epistatic gene interactions is computationally demanding. A simple, easy-to-perform method for sensitive detection of epistasis is required. Due to their homozygous nature, use of recombinant inbred lines excludes the dominance effect of alleles and interactions involving heterozygous genotypes, thereby allowing detection of epistasis in a simple and interpretable model. Here, we present an approach called RIL-StEp (recombinant inbred lines stepwise epistasis detection) to detect epistasis using single-nucleotide polymorphisms in the genome. We applied the method to reveal epistasis affecting rice (Oryza sativa) seed hull color and leaf chlorophyll content and successfully identified pairs of genomic regions that presumably control these phenotypes. This method has the potential to improve our understanding of the genetic architecture of various traits of crops and other organisms.en
dc.language.isoeng-
dc.publisherOxford University Press (OUP)en
dc.publisherGenetics Society of Americaen
dc.rights© The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America.en
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence, which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectepistasisen
dc.subjectRILsen
dc.subjectGWASen
dc.subjectriceen
dc.subjectmodelingen
dc.titleRIL-StEp: epistasis analysis of rice recombinant inbred lines (RILs) reveals candidate interacting genes that control seed hull color and leaf chlorophyll contenten
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleG3 Genes|Genomes|Geneticsen
dc.identifier.volume11-
dc.identifier.issue7-
dc.relation.doi10.1093/g3journal/jkab130-
dc.textversionpublisher-
dc.identifier.artnumjkab130-
dc.identifier.pmid33871605-
dcterms.accessRightsopen access-
datacite.awardNumber15H05779-
datacite.awardNumber20H00421-
datacite.awardNumber17H03752-
datacite.awardNumber20H02962-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15H05779/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H00421/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17H03752/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H02962/-
dc.identifier.eissn2160-1836-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitleイネ-いもち病相互作用の分子機構の解明ja
jpcoar.awardTitleイネNLR抵抗性遺伝子の機能と進化の解明ja
jpcoar.awardTitleイネNAM集団を利用した群落ソース能関連遺伝子の解明ja
jpcoar.awardTitleイネNAM集団を用いた新規ゲノム予測手法による遺伝子同定とネットワーク解明ja
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