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ABSTRACT: bacterial diversity on Panax ginseng soil

PROVIDER: PRJNA556345 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR9822030_1.fastq.gz	Fastqsanger.gz
	SRR9822030_2.fastq.gz	Fastqsanger.gz
	SRR9822031_1.fastq.gz	Fastqsanger.gz
	SRR9822031_2.fastq.gz	Fastqsanger.gz
	SRR9822032_1.fastq.gz	Fastqsanger.gz

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Project description:Korean ginseng (Panax ginseng Meyer) has long been cultivated as an important medicinal plant. Drought results from the moderate water loss, which primarily impairs the growth of ginseng and reduction of yield loss. However, basis of biological clues to understanding the accurate mechanisms related to drought stress in proteome level are still elusive. Therefore, we carried out label-free quantitative proteomic analysis using ginseng roots subjected to drought stress which was grown at less than 10% soil moisture for two weeks, compared with normal ginseng which was grown at 25% soil moisture. The acquired proteins were carried out label-free proteomic analysis using LC-MS/MS. This approach led to the identification of total 2,471 proteins, and out of 195 proteins showed significant modulation. Functional classification revealed that proteins related to secondary metabolites, calcium signaling, and photosynthesis were enriched in control sample (cluster_1), while proteins associated with stress responsive, redox, electron transport, and protein synthesis were mainly dominated in cluster_2 (drought stress condition). Taken together, our results provided an overview of the drought-induced proteomic changes in ginseng root, and it is correlated with physiological changes, contributing to reveal potential marker at proteome level in ginseng.

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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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