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Interactions between Verticillium longisporum and plant terpenes

ABSTRACT: Interactions between Verticillium longisporum and plant terpenes

PROVIDER: PRJNA667088 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR12765810_1.fastq.gz	Fastqsanger.gz
	SRR12765810_2.fastq.gz	Fastqsanger.gz
	SRR12765811_1.fastq.gz	Fastqsanger.gz
	SRR12765811_2.fastq.gz	Fastqsanger.gz
	SRR12765812_1.fastq.gz	Fastqsanger.gz

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Interactions between Verticillium longisporum and plant terpenes

Project description:Plant roots secrete secondary metabolites to sense the enviroment around them. Among them, terpenes play a prominent role. Terpenes can have either fungistatic or fungicide action. However, their exact role in plant-host interactions is not fully understood. Verticillium longisporum is a soilborne pathogen causing disease in Brasicacae plants. In this project we investigated the transcriptomic changes of this species upon exposure to the β-pinene monoterpene in different time points 0hpi, 8hpi, 24hpi and 24hpi.

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Project description:Identification of genes differentially expressed in roots of Arabidopsis Col-0 and ndr1-1 mutants 48 h post inoculation with the fungal pathogen Verticillium longisporum. Arabidopsis Col-0 and ndr1-1 seeds were grown in petri dishes with liquid MS medium supplemented with 0.2% sucrose. After two weeks on a horizontal shaker (40 rpm), plants were rinsed twice in sterile distilled water and transferred to liquid 0.5xMS medium without sucrose, supplemented with 200 conidia ml-1 of V. longisporum isolate VL1 (CBS110220). Control plants were grown in 0.5x MS only. At 48 hours post inoculation, materials were harvested in biological replicates (>50 plant roots) and immediately frozen in liquid nitrogen. RNA was extracted with Aurum Total RNA Mini Kit (Bio-Rad) and hybridized to the Arabidopsis ATH1 Genome Array at the DNAVision facility (Gosselies, Belgium). Microarray assays were performed with triplicate biological root samples. Normalization of the microarray data was performed using the Robust Multichip Average (RMA) method as implemented by the “quantile normalization” function in the Bioconductor 1.3 software.

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