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Squalomix: shark and ray genome analysis consortium and its data sharing platform [version 1; peer review: 2 approved]

Authors :
John Rozewicki
Kazuaki Yamaguchi
Osamu Nishimura
Ryo Misawa
Takashi Asahida
Mitsumasa Koyanagi
Akihisa Terakita
Filipe Castro
André Machado
Milton Tan
Salvatore D'Aniello
Shotaro Hirase
Akane Kawaguchi
Chiharu Tanegashima
Akinori Teramura
Masaru Yagura
Taiki Niwa
Kaori Tatsumi
Yuta Ohishi
Susumu Hyodo
Mitsutaka Kadota
Itsuki Kiyatake
Keiichi Sato
Kazuyuki Yamada
Kiyonori Nishida
Yasuko Semba
Shinya Yamauchi
Sho Tanaka
Tatsuya Sakamoto
Norio Miyamoto
Atsushi Toyoda
Rui Matsumoto
Iker Irisarri
Atsuko Yamaguchi
Tazro Ohta
Kiyomi Murakumo
Junna Kawasaki
Masayuki Horie
Yoshinobu Uno
Shigehiro Kuraku
Source :
F1000Research, Vol 11 (2022)
Publication Year :
2022
Publisher :
F1000 Research Ltd, 2022.

Abstract

The taxon Elasmobranchii (sharks and rays) contains one of the long-established evolutionary lineages of vertebrates with a tantalizing collection of species occupying critical aquatic habitats. To overcome the current limitation in molecular resources, we launched the Squalomix Consortium in 2020 to promote a genome-wide array of molecular approaches, specifically targeting shark and ray species. Among the various bottlenecks in working with elasmobranchs are their elusiveness and low fecundity as well as the large and highly repetitive genomes. Their peculiar body fluid composition has also hindered the establishment of methods to perform routine cell culturing required for their karyotyping. In the Squalomix consortium, these obstacles are expected to be solved through a combination of in-house cytological techniques including karyotyping of cultured cells, chromatin preparation for Hi-C data acquisition, and high fidelity long-read sequencing. The resources and products obtained in this consortium, including genome and transcriptome sequences, a genome browser powered by JBrowse2 to visualize sequence alignments, and comprehensive matrices of gene expression profiles for selected species are accessible through https://github.com/Squalomix/info.

Details

Language :
English
ISSN :
20461402
Volume :
11
Database :
Directory of Open Access Journals
Journal :
F1000Research
Publication Type :
Academic Journal
Accession number :
edsdoj.9720a2a62e0a4e98ba9a190a1ec8760e
Document Type :
article
Full Text :
https://doi.org/10.12688/f1000research.123591.1