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dc.contributor.authorKatsura, Yukakoen
dc.contributor.authorIkemura, Toshimichien
dc.contributor.authorKajitani, Reien
dc.contributor.authorToyoda, Atsushien
dc.contributor.authorItoh, Takehikoen
dc.contributor.authorOgata, Mitsuakien
dc.contributor.authorMiura, Ikuoen
dc.contributor.authorWada, Kennosukeen
dc.contributor.authorWada, Yoshikoen
dc.contributor.authorSatta, Yokoen
dc.contributor.alternative桂, 有加子ja
dc.date.accessioned2021-10-01T04:14:36Z-
dc.date.available2021-10-01T04:14:36Z-
dc.date.issued2021-03-
dc.identifier.urihttp://hdl.handle.net/2433/265336-
dc.description.abstractThe Japanese wrinkled frog (Glandirana rugosa) is unique in having both XX-XY and ZZ-ZW types of sex chromosomes within the species. The genome sequencing and comparative genomics with other frogs should be important to understand mechanisms of turnover of sex chromosomes within one species or during a short period. In this study, we analyzed the newly sequenced genome of G. rugosa using a batch-learning self-organizing map which is unsupervised artificial intelligence for oligonucleotide compositions. To clarify genome characteristics of G. rugosa, we compared its short oligonucleotide compositions in all 1-Mb genomic fragments with those of other six frog species (Pyxicephalus adspersus, Rhinella marina, Spea multiplicata, Leptobrachium leishanense, Xenopus laevis, and Xenopus tropicalis). In G. rugosa, we found an Mb-level large size of repeat sequences having a high identity with the W chromosome of the African bullfrog (P. adspersus). Our study concluded that G. rugosa has unique genome characteristics with a high CG frequency, and its genome is assumed to heterochromatinize a large size of genome via methylataion of CG.en
dc.language.isoeng-
dc.publisherLife Science Alliance, LLCen
dc.rights© 2021 Katsura et al.en
dc.rightsThis article is available under a Creative Commons License (Attribution 4.0 International).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.titleComparative genomics of Glandirana rugosa using unsupervised AI reveals a high CG frequencyen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleLife Science Allianceen
dc.identifier.volume4-
dc.identifier.issue5-
dc.relation.doi10.26508/lsa.202000905-
dc.textversionpublisher-
dc.identifier.artnume202000905-
dc.identifier.pmid33712508-
dcterms.accessRightsopen access-
datacite.awardNumber16H06279-
datacite.awardNumber18K14766-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16H06279/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18K14766/-
dc.identifier.eissn2575-1077-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle先進ゲノム解析研究推進プラットフォームja
jpcoar.awardTitle性染色体ターンオーバーの集団遺伝学モデルの構築とその分子進化機構の解明ja
出現コレクション:学術雑誌掲載論文等

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