Transcriptomics de novo sequencing data of Messastrum gracile SE-MC4 under exponential and stationary growth stages

Messastrum gracile SE-MC4 is a non-model microalga exhibiting superior oil-accumulating abilities. However, biomass production in M. gracile SE-MC4 is limited due to low cell proliferation especially after prolonged cultivation under oil-inducing culture conditions. Present data consist of next gene...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: C. L. Wan Afifudeen, Saw Hong Loh, Li Lian Wong, Ahmad Aziz, Kazutaka Takahashi, Mohd Effendy Abd Wahid, Thye San Cha
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/6a040e2c6ade40c4a9eafea4a6ac8852
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:6a040e2c6ade40c4a9eafea4a6ac8852
record_format dspace
spelling oai:doaj.org-article:6a040e2c6ade40c4a9eafea4a6ac88522021-11-26T04:31:27ZTranscriptomics de novo sequencing data of Messastrum gracile SE-MC4 under exponential and stationary growth stages2352-340910.1016/j.dib.2021.107607https://doaj.org/article/6a040e2c6ade40c4a9eafea4a6ac88522021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921008829https://doaj.org/toc/2352-3409Messastrum gracile SE-MC4 is a non-model microalga exhibiting superior oil-accumulating abilities. However, biomass production in M. gracile SE-MC4 is limited due to low cell proliferation especially after prolonged cultivation under oil-inducing culture conditions. Present data consist of next generation RNA sequencing data of M. gracile SE-MC4 under exponential and stationary growth stages. RNA of six samples were extracted and sequenced with insert size of 100 bp paired-end strategy using BGISEQ-500 platform to produce a total of 59.64 Gb data with 314 million reads. Sequences were filtered and de novo assembled to form 53,307 number of gene sequences. Sequencing data were deposited in National Center for Biotechnology Information (NCBI) and can be accessed via BioProject ID PRJNA552165. This information can be used to enhance biomass production in M. gracile SE-MC4 and other microalgae aimed towards improving biodiesel development.C. L. Wan AfifudeenSaw Hong LohLi Lian WongAhmad AzizKazutaka TakahashiMohd Effendy Abd WahidThye San ChaElsevierarticleNon-model microalgaCell proliferationBiodieselNext generation sequencing dataComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107607- (2021)
institution DOAJ
collection DOAJ
language EN
topic Non-model microalga
Cell proliferation
Biodiesel
Next generation sequencing data
Computer applications to medicine. Medical informatics
R858-859.7
Science (General)
Q1-390
spellingShingle Non-model microalga
Cell proliferation
Biodiesel
Next generation sequencing data
Computer applications to medicine. Medical informatics
R858-859.7
Science (General)
Q1-390
C. L. Wan Afifudeen
Saw Hong Loh
Li Lian Wong
Ahmad Aziz
Kazutaka Takahashi
Mohd Effendy Abd Wahid
Thye San Cha
Transcriptomics de novo sequencing data of Messastrum gracile SE-MC4 under exponential and stationary growth stages
description Messastrum gracile SE-MC4 is a non-model microalga exhibiting superior oil-accumulating abilities. However, biomass production in M. gracile SE-MC4 is limited due to low cell proliferation especially after prolonged cultivation under oil-inducing culture conditions. Present data consist of next generation RNA sequencing data of M. gracile SE-MC4 under exponential and stationary growth stages. RNA of six samples were extracted and sequenced with insert size of 100 bp paired-end strategy using BGISEQ-500 platform to produce a total of 59.64 Gb data with 314 million reads. Sequences were filtered and de novo assembled to form 53,307 number of gene sequences. Sequencing data were deposited in National Center for Biotechnology Information (NCBI) and can be accessed via BioProject ID PRJNA552165. This information can be used to enhance biomass production in M. gracile SE-MC4 and other microalgae aimed towards improving biodiesel development.
format article
author C. L. Wan Afifudeen
Saw Hong Loh
Li Lian Wong
Ahmad Aziz
Kazutaka Takahashi
Mohd Effendy Abd Wahid
Thye San Cha
author_facet C. L. Wan Afifudeen
Saw Hong Loh
Li Lian Wong
Ahmad Aziz
Kazutaka Takahashi
Mohd Effendy Abd Wahid
Thye San Cha
author_sort C. L. Wan Afifudeen
title Transcriptomics de novo sequencing data of Messastrum gracile SE-MC4 under exponential and stationary growth stages
title_short Transcriptomics de novo sequencing data of Messastrum gracile SE-MC4 under exponential and stationary growth stages
title_full Transcriptomics de novo sequencing data of Messastrum gracile SE-MC4 under exponential and stationary growth stages
title_fullStr Transcriptomics de novo sequencing data of Messastrum gracile SE-MC4 under exponential and stationary growth stages
title_full_unstemmed Transcriptomics de novo sequencing data of Messastrum gracile SE-MC4 under exponential and stationary growth stages
title_sort transcriptomics de novo sequencing data of messastrum gracile se-mc4 under exponential and stationary growth stages
publisher Elsevier
publishDate 2021
url https://doaj.org/article/6a040e2c6ade40c4a9eafea4a6ac8852
work_keys_str_mv AT clwanafifudeen transcriptomicsdenovosequencingdataofmessastrumgracilesemc4underexponentialandstationarygrowthstages
AT sawhongloh transcriptomicsdenovosequencingdataofmessastrumgracilesemc4underexponentialandstationarygrowthstages
AT lilianwong transcriptomicsdenovosequencingdataofmessastrumgracilesemc4underexponentialandstationarygrowthstages
AT ahmadaziz transcriptomicsdenovosequencingdataofmessastrumgracilesemc4underexponentialandstationarygrowthstages
AT kazutakatakahashi transcriptomicsdenovosequencingdataofmessastrumgracilesemc4underexponentialandstationarygrowthstages
AT mohdeffendyabdwahid transcriptomicsdenovosequencingdataofmessastrumgracilesemc4underexponentialandstationarygrowthstages
AT thyesancha transcriptomicsdenovosequencingdataofmessastrumgracilesemc4underexponentialandstationarygrowthstages
_version_ 1718409845935177728