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ABSTRACT: Transcriptomic datasets of Virgibacillus pantothenticus 6R and DSM 26(T) at different pressures

PROVIDER: PRJNA819242 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR18472225_1.fastq.gz	Fastqsanger.gz
	SRR18472225_2.fastq.gz	Fastqsanger.gz
	SRR18472226_1.fastq.gz	Fastqsanger.gz
	SRR18472226_2.fastq.gz	Fastqsanger.gz
	SRR18472227_1.fastq.gz	Fastqsanger.gz

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Genomic and transcriptomic landscapes of independent invasions of the Pacific Oyster Crassostrea gigas

Project description:Upon colonizing new habitats invasive species face a series of new selection pressures as a result of changing abiotic conditions and novel biotic interactions with native species. These new selection pressures can be accommodated by different mechanism that act on different levels and across different time scales: 1) By changing transcriptomic profiles species can react by plasticity within individual physiological limitations. 2) Invasive populations can adapt by fixing beneficial genetic variants in response to the newly encountered selection pressures. Here, we compare the genomic and transcriptomic landscapes of two independent invasions of the Pacific Oyster Crassostrea gigas into the North Sea. In detail, we combine high density full genome resequencing and low density ddRAD on the genomic level with RNAseq on the transcriptomic level to reveal outlier loci (SNPs) indicative of adaptation, as well as transcriptomic profiles from a translocation experiment to show immediate physiological reactions. The low congruence between differentially regulated genes and outlier loci indicates that different processes act on the different time scales. By contrasting population outlier loci and population specific transcriptomic profiles we can thus identify relevant processes acting during different phases of the invasive process, which will allow to take a glimpse at the traits and processes characterizing successful invasions.

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Metaproteomics of an artificial microbiota reference with LTQ Orbitrap-XL

Project description:This project provides tandem mass spectrometry datasets of an artificial microbiota composed of 24 microbial strains: Bacillus cereus ATCC 14579, Bacillus subtilis ATCC 6633, Bacillus thuringiensis DSM 5815, Bordetella parapertussis Bpp5, Cellulophaga lytica DSM 7489, Deinococcus deserti VCD115, Deinococcus geothermalis DSM 11300, Deinococcus proteolyticus DSM 20540, Kineococcus radiotolerans SRS30216, Marivirga tractuosa DSM 4126, Oceanibulbus indolifex HEL-45, Oceanicola granulosus HTCC2516, Phaeobacter inhibens DSM 17395, Pseudomonas putida mt-2 KT2440, Pseudopedobacter saltans DSM 12145, Roseobacter denitrificans OCh 114, Roseovarius nubinhibens ISM, Ruegeria pomeroyi DSS-3, Sagittula stellata E 37, Salmonella bongori NCTC 12419, Shigella flexneri 2a 2457T, Sphingomonas wittichii RW1, Staphylococcus carnosus TM300, Vibrio harveyi ATCC 14126

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