The dataset of de novo assembly and inferred functional annotation of the transcriptome of Heterosigma akashiwo, a bloom-forming, cosmopolitan raphidophyte

被引:1
|
作者
Sato, Masanao [1 ]
Seki, Masahide [2 ]
Suzuki, Yutaka [2 ]
Ueki, Shoko [3 ]
机构
[1] Hokkaido Univ, Grad Sch Agr, Div Appl Biosci, Kita 9 Nishi 9,Kita Ku, Sapporo, Hokkaido 0608589, Japan
[2] Univ Tokyo, Grad Sch Frontier Sci, Dept Computat Biol & Med Sci, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778561, Japan
[3] Okayama Univ, Inst Plant Sci & Resources, 2-20 Chuo, Kurashiki, Okayama 7100046, Japan
来源
DATA IN BRIEF | 2023年 / 48卷
基金
日本科学技术振兴机构; 日本学术振兴会;
关键词
Harmful alga; Nuclear gene; Gene prediction; Gene ontology; Stramenopile; Heterokont; HARMFUL ALGAL BLOOMS; GROWTH;
D O I
10.1016/j.dib.2023.109071
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:10
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