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Series GSE95708 Query DataSets for GSE95708
Status Public on Nov 13, 2017
Title Understanding lipid metabolism in high-lipid-producing Chlorella vulgaris mutants at the genome-wide level
Organism Chlorella vulgaris
Experiment type Expression profiling by high throughput sequencing
Summary In this study, physical and chemical mutagenesis methods were applied to enhance lipid productivity in Chlorella vulgaris. Then, de novo RNA-seq was performed to observe lipid metabolism changes at the genome-wide level. Characterization of two mutants, UV-715 and EMS-25, showed marked increases in lipid contents, i.e., 42% and 45%, respectively. In addition, the biomass productivity of the UV-715 cells was 9% higher than that of wild-type cells. Furthermore, gas chromatography-mass spectrophotometry analysis showed that both mutants have higher fatty acid methyl ester (FAME) contents than wild-type cells. To understand the effect of mutations that caused yield changes in UV-715 and EMS-25 cells at a genome-wide level, we carried out de novo RNA-seq. As expected, the transcriptional levels of the lipid biosynthesis genes were up-regulated, while the transcriptional levels of genes involved in lipid catabolism were down-regulated. Surprisingly, the transcriptional levels of the genes involved in nitrate assimilation and detoxification of reactive oxygen species (ROS) were significantly increased in the mutants. The genome-wide analysis results highlight the importance of nitrate metabolism and detoxification of ROS for high biomass and lipid productivity.
 
Overall design mRNA profiles of wild type and mutant (UV-715 and EMS-25) Chlorella vulgaris SAG 211-12 cells were generated at stationary phase cell culture by deep sequencing, in two biological replicates, using Illumina MiSeq platform.
 
Contributor(s) Tardu M, Sarayloo E, Kavakli IH
Citation Ehsan Sarayloo, Mehmet Tardu, Yigit Sabri Unlu, Salim Simsek, Gul Cevahir, Can Erkey, Ibrahim Halil Kavakli. Understanding lipid metabolism in high-lipid-producing Chlorella vulgaris mutants at the genome-wide level. Algal Research 2017;28:244-252. DOI:10.1016/j.algal.2017.11.009
Submission date Mar 06, 2017
Last update date May 15, 2019
Contact name mehmet tardu
E-mail(s) [email protected]
Organization name University of Michigan
Department Chemistry
Lab Koutmou Lab
Street address 930 N University Ave
City Ann Arbor
State/province MI
ZIP/Postal code 48109
Country USA
 
Platforms (1)
GPL23151 Illumina MiSeq (Chlorella vulgaris)
Samples (6)
GSM2522405 WT_rep1
GSM2522406 WT_rep2
GSM2522407 EMS_rep1
Relations
BioProject PRJNA378177
SRA SRP101426

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE95708_Trinity_C_vulgaris.fasta.gz 6.8 Mb (ftp)(http) FASTA
GSE95708_trans_counts.TMM.EXPR.matrix.txt.gz 384.8 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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