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ABSTRACT: Rhizosphere Microbiota of Panax ginseng

PROVIDER: PRJNA927237 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	SRR23226500_1.fastq.gz	Fastqsanger.gz
	SRR23226500_2.fastq.gz	Fastqsanger.gz
	SRR23226501_1.fastq.gz	Fastqsanger.gz
	SRR23226501_2.fastq.gz	Fastqsanger.gz
	SRR23226502_1.fastq.gz	Fastqsanger.gz

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Project description:Rhizosphere Microbiota of Panax ginseng (ITS)

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Transcriptional profiling by high throughput sequencing of Panax ginseng C.A. Meyer leaf and stem transcriptomes during the leaf-expansion period.

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Project description:Panax ginseng C.A. Meyer is one of the most popular medicinal herbs. In order to research the genes that related to the flowering period of ginseng, and find out the antifungal proteins and transcription factors that combat various biotic and abiotic stress, a cDNA sample was prepared from the flowering period ginseng root of a five-year-old plant and sequenced using the Illumina sequencing platform. In this study, we produced nearly 40 million sequencing reads. These reads were assembled into 134,045 contigs using Trinity software (mean size: 282 bp). Based on a similarity search with known proteins, we identified 79,307 sequences with a cut-off E-value of 10-5. Assembled sequences were then annotated using gene ontology (GO) terms, clusters of orthologous group (COG) classifications and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways respectively.

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Project description:Rhizosphere soil microbe from Panax ginseng(Fungi)

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Analysis of Panax ginseng secreted proteins under salt stress

Project description:Salt stress is one of the major abiotic stresses affecting the yield of ginseng (Panax ginseng C. A. Meyer). The objective of this study was to identify proteins of ginseng, which is responsive in salt stress. In this direction, ginseng plants of different growth stages (3, 4 and 5 years), were grown in the hydroponic conditions and exposed to 5 ds/m salt concentration. The secreted proteins, collected from the water, at 0, 24, 72 and 120 hours after exposure were used for the proteome analysis using shotgun approaches. Through the shotgun proteomics, a total of 155 and 88 secreted proteins were identified by searching in two RNA-sequencing (RNA-seq) database, respectively.

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