Literature DB >> 33712508

Comparative genomics of Glandirana rugosa using unsupervised AI reveals a high CG frequency.

Yukako Katsura1,2,3, Toshimichi Ikemura4, Rei Kajitani5, Atsushi Toyoda6, Takehiko Itoh5, Mitsuaki Ogata7, Ikuo Miura2, Kennosuke Wada8, Yoshiko Wada8, Yoko Satta3.   

Abstract

The 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.
© 2021 Katsura et al.

Entities:  

Year:  2021        PMID: 33712508      PMCID: PMC7994367          DOI: 10.26508/lsa.202000905

Source DB:  PubMed          Journal:  Life Sci Alliance        ISSN: 2575-1077


  35 in total

1.  Analysis of codon usage diversity of bacterial genes with a self-organizing map (SOM): characterization of horizontally transferred genes with emphasis on the E. coli O157 genome.

Authors:  S Kanaya; M Kinouchi; T Abe; Y Kudo; Y Yamada; T Nishi; H Mori; T Ikemura
Journal:  Gene       Date:  2001-10-03       Impact factor: 3.688

Review 2.  Heterochromatin revisited.

Authors:  Shiv I S Grewal; Songtao Jia
Journal:  Nat Rev Genet       Date:  2007-01       Impact factor: 53.242

3.  Mb-level CpG and TFBS islands visualized by AI and their roles in the nuclear organization of the human genome.

Authors:  Kennosuke Wada; Yoshiko Wada; Toshimichi Ikemura
Journal:  Genes Genet Syst       Date:  2020-03-12       Impact factor: 1.517

4.  Reconstruction of female heterogamety from admixture of XX-XY and ZZ-ZW sex-chromosome systems within a frog species.

Authors:  Mitsuaki Ogata; Max Lambert; Tariq Ezaz; Ikuo Miura
Journal:  Mol Ecol       Date:  2018-09-04       Impact factor: 6.185

5.  A novel approach, based on BLSOMs (Batch Learning Self-Organizing Maps), to the microbiome analysis of ticks.

Authors:  Ryo Nakao; Takashi Abe; Ard M Nijhof; Seigo Yamamoto; Frans Jongejan; Toshimichi Ikemura; Chihiro Sugimoto
Journal:  ISME J       Date:  2013-01-10       Impact factor: 10.302

Review 6.  Sex Determination and Sex Chromosomes in Amphibia.

Authors:  Ikuo Miura
Journal:  Sex Dev       Date:  2017-12-15       Impact factor: 1.824

7.  A chromosome-scale genome assembly and dense genetic map for Xenopus tropicalis.

Authors:  Therese Mitros; Jessica B Lyons; Adam M Session; Jerry Jenkins; Shengquiang Shu; Taejoon Kwon; Maura Lane; Connie Ng; Timothy C Grammer; Mustafa K Khokha; Jane Grimwood; Jeremy Schmutz; Richard M Harland; Daniel S Rokhsar
Journal:  Dev Biol       Date:  2019-04-10       Impact factor: 3.582

8.  D-GENIES: dot plot large genomes in an interactive, efficient and simple way.

Authors:  Floréal Cabanettes; Christophe Klopp
Journal:  PeerJ       Date:  2018-06-04       Impact factor: 2.984

9.  Evolutionary changes in vertebrate genome signatures with special focus on coelacanth.

Authors:  Yuki Iwasaki; Takashi Abe; Norihiro Okada; Kennosuke Wada; Yoshiko Wada; Toshimichi Ikemura
Journal:  DNA Res       Date:  2014-05-06       Impact factor: 4.458

10.  The evolutionary process of mammalian sex determination genes focusing on marsupial SRYs.

Authors:  Yukako Katsura; Hiroko X Kondo; Janelle Ryan; Vincent Harley; Yoko Satta
Journal:  BMC Evol Biol       Date:  2018-01-16       Impact factor: 3.260

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  1 in total

1.  Comparative genomic analysis of the human genome and six bat genomes using unsupervised machine learning: Mb-level CpG and TFBS islands.

Authors:  Yuki Iwasaki; Toshimichi Ikemura; Kennosuke Wada; Yoshiko Wada; Takashi Abe
Journal:  BMC Genomics       Date:  2022-07-08       Impact factor: 4.547

  1 in total

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