ID | 65242 |
FullText URL | |
Author |
Sato, Masanao
Division of Applied Bioscience, Graduate School of Agriculture, Hokkaido University
Seki, Masahide
Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo
Suzuki, Yutaka
Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo
Ueki, Shoko
Institute of Plant Science and Resources, Okayama University
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Abstract | Heterosigma akashiwo is a eukaryotic, cosmopolitan, and uni-cellular alga (class: Raphidophyceae), and produces fish -killing blooms. There is a substantial scientific and practical interest in its ecophysiological characteristics that determine bloom dynamics and its adaptation to broad climate zones. A well-annotated genomic/genetic sequence information en-ables researchers to characterize organisms using modern molecular technology. In the present study, we conducted H. akashiwo RNA sequencing, a de novo transcriptome assem-bly of 84,693,530 high-quality deduplicated short-read se-quences.
Obtained RNA reads were assembled by Trinity assembler and 144,777 contigs were identified with N 50 values of 1085. Total 60,877 open reading frames with the length of 150 bp or greater were predicted. For further analy-ses, top Gene Ontology terms, pfam hits, and blast hits were annotated for all the predicted genes. The raw data were deposited in the NCBI SRA database (BioProject PR - JDB6241 and PRJDB15108), and the assemblies are available in NCBI TSA database (ICRV01). The annotation information can be obtained in Dryad and can be accessed via doi: 10.5061/dryad.m0cfxpp56. |
Keywords | Harmful alga
Nuclear gene
Gene prediction
Gene ontology
Stramenopile
Heterokont
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Published Date | 2023-06
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Publication Title |
Data in Brief
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Volume | volume48
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Publisher | Elsevier
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Start Page | 109071
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ISSN | 2352-3409
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Content Type |
Journal Article
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language |
English
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OAI-PMH Set |
岡山大学
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Copyright Holders | © 2023 The Author(s).
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File Version | publisher
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PubMed ID | |
DOI | |
Web of Science KeyUT | |
Related Url | isVersionOf https://doi.org/10.1016/j.dib.2023.109071
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License | http://creativecommons.org/licenses/by/4.0/
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Funder Name |
Japan Society for the Promotion of Science
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助成番号 | 16H06449
221S0002
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