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OdScoAust

ABSTRACT: Scopalina australiensis, genomic and transcriptomic data

PROVIDER: PRJEB86930 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	ERR14749202_1.fastq.gz	Fastqsanger.gz
	ERR14749202_2.fastq.gz	Fastqsanger.gz
	ERR14749203_1.fastq.gz	Fastqsanger.gz
	ERR14749203_2.fastq.gz	Fastqsanger.gz
	ERR14749974.fastq.gz	Fastqsanger.gz

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Wild and cultivated species of rice have distinctive proteomic responses to drought

Project description:Drought often compromises yield in non-irrigated crops such as rainfed rice, imperiling the communities that depend upon it as a primary food source. In this study, two cultivated species (Oryza sativa cv. Nipponbare and Oryza glaberrima cv. CG14) and an endemic, perennial Australian wild species (Oryza australiensis) were grown in soil at 40% field capacity for 7-d (drought). The hypothesis was that the natural tolerance of O. australiensis to erratic water supply would be reflected in a unique proteomic profile. Leaves from droughted plants and well-watered controls were harvested for label-free quantitative shotgun proteomics. Physiological and gene ontology analysis confirmed that O. australiensis is responded uniquely to drought, with superior leaf water status and enhanced levels of photosynthetic proteins. Moreover, distinctive patterns of expression of proteins in drought were observed across the entire O. australiensis proteome. An intermediate impact of drought on photosynthetic and stress-response proteins is reported in O. glaberrima relative to O. sativa but the drought response was most striking in O. australiensis. For example, photosynthetic proteins decreased when O. sativa after drought, while a narrower range of stress-responsive proteins was up-regulated. Distinctive proteomic profiles and the expression levels of individual proteins with specific functions in response to drought in O. australiensis indicate the importance of this species as a source of stress tolerance genes.

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Tropheryma whipplei proteome - Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme

Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.

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