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Chlorella sorokiniana

ABSTRACT: Chlorella sorokiniana overview

PROVIDER: PRJNA255013 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
		Other
	LHPG02.dat.gz	Other
	LHPG02.fasta.gz	Fasta.gz
	LHPG02.master.dat	Other
	PKFC01.dat.gz	Other

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miRNA transcriptome profiling of Chlorella sorokiniana and Chlorella zofingiensis under normal and stress condition

Project description:Purpose: The purpose of this study are to identify the miRNA involved in regulating the production of metabolites in Chlorella sorokiniana and Chlorella zofingiensis under normal and stress-induced condition through RNA-sequencing technique. Methods: miRNA transcriptome profile from normal and stress sample of C. sorokiniana and C. zofingiensis were generated, in triplicate, using Illumina Miseq. The sequence reads that passed quality filters were analysed using CLC genomic workbench and OmiRas. Results: The known and predicted novel miRNAs were identified. Although most of the identified miRNAs were not functionally determined, this study suggests that they were species-specific, which may have roles in regulating genes during stress related condition.

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Project description:Purpose: The purpose of this study are to identify the genes involved in regulating the production of metabolites in Chlorella sorokiniana under stress-induced condition through RNA-sequencing technique. Methods:Transcriptome profile from normal and stress sample of C. sorokiniana were generated, in triplicate, using Illumina Hiseq2000. The sequence reads that passed quality filters were de-novo assembled using Trinity doftware, followed by analysis using Burrows–Wheeler Aligner (BWA) and DESeq2. Lastly, RT-qPCR was used to validate the expression level of genes. Results: A total of 200 million reads was obtained from both normal and stress induced samples of C. sorokiniana. The assembly program produced 18,310 assembled transcripts with a length ranging from 165 to 16,695 bp. Differential expression analysis revealed 933 transcripts were significantly differentially expressed between normal and stress with 431 were up-regulated and 502 were down-regulated. Pathway analysis revealed that the differentially expressed genes were associated with a variety of KEGG pathways.

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