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IdTheUnic

ABSTRACT: Thereva unica, genomic and transcriptomic data

PROVIDER: PRJEB57100 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	ERR10439745.fastq.gz	Fastqsanger.gz
	ERR10446380_1.fastq.gz	Fastqsanger.gz
	ERR10446380_2.fastq.gz	Fastqsanger.gz
	ERR13999046_1.fastq.gz	Fastqsanger.gz
	ERR13999046_2.fastq.gz	Fastqsanger.gz

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idTheUnic

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idTheUnic2 alternate haplotype

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Physiological, biochemical and transcriptional responses to single and combined abiotic stress in stress-tolerant and stress-sensitive potato genotypes

Project description:In many potato cultivation regions, production is constrained by abiotic stresses such as drought and high temperatures which are often present in combination. We aimed to identify key mechanisms and processes underlying single and combined abiotic stress tolerance by a comparative analysis of tolerant and susceptible cultivars. Physiological data supported cultivars Desiree and Unica as being abiotic stress tolerant, while Agria and Russett Burbank were stress susceptible. This was indicated by the stronger impact of abiotic stress on photosynthetic carbon assimilation in the susceptible cultivars. Similarly, susceptible cultivars exhibited a lower leaf transpiration rate following stress, particularly combined heat and drought stress. Transcript profiles using microarrays were highly divergent both between genotypes and following the application of stress treatments. However, relatively few transcripts or metabolites exhibited genotype specific responses to abiotic stress treatment. Furthermore, apart from a decrease in the abundance of transcripts associated with PSII, particularly the light harvesting complex in both Desiree and Unica, there were very few changes that were consistent across stress susceptible or stress tolerant genotypes following stress treatment.

2020-02-25 | E-MTAB-8298 | biostudies-arrayexpress

Thereva nobilitata

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tfGorAlbo

Project description:Gordius_albopunctatus, genomic and transcriptomic data

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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.

2017-12-18 | PXD006238 | Pride

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