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IbLobSubt

ABSTRACT: Loboptera subterranea, genomic and transcriptomic data.

PROVIDER: PRJEB77741 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR13374505.fastq.gz	Fastqsanger.gz
	ERR13766000_1.fastq.gz	Fastqsanger.gz
	ERR13766000_2.fastq.gz	Fastqsanger.gz
	ERR13766001_1.fastq.gz	Fastqsanger.gz
	ERR13766001_2.fastq.gz	Fastqsanger.gz

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Project description:RNA seq data for Solanum tuberosum inoculated with Spongospora subterranea f.sp. subterranea

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In planta transcriptome and proteome profiles of Spongospora subterranea illuminates regulatory principles underlying host-pathogen interaction

Project description:Spongospora subterranea is an obligate biotrophic pathogen, causing a tremendous economic loss in the potato industry. Currently, there are no effective chemical or biological strategies for the control of S. subterranea. Understanding the gene regulation of pathogens in their host is dependent on multidimensional datasets. To further our understanding of S. subterranea biology during infection, we characterized the transcriptome and proteome of the pathogen inside the susceptible and resistant potato cultivars. A total of 7650 transcripts from S. subterranea were identified in the transcriptome analysis in which 1377 transcripts were differentially expressed between two cultivars. In proteome analysis, we identified 117 proteins with 14 proteins significantly changed in comparison between resistant and susceptible cultivars. The transcriptome analysis uncovered the gene regulatory modules underlying virulence. The functional annotation of transcriptome data indicated that the gene ontology terms related to the transportation and actin processes were induced in the resistant cultivar. The downregulation of enzyme activity and nucleic acid metabolism in the resistant cultivars suggesting a remarkable influence of these processes in the virulence of S. subterranea. The protein analysis results indicated that the majority of identified proteins were related to the metabolic processes. The present study provides a comprehensive molecular insight into the multiple layers of gene regulation that contribute to S. subterranea germination and growth in planta and illuminates the role of host immunity in affecting pathogen responses.

2022-02-17 | PXD027266 | Pride

Large-scale protein and phosphoprotein profiling to explore potato resistance mechanisms to Spongospora subterranea infection

Project description:Potato is one of the most important food crops for human consumption. The obligate biotrophic pathogen Spongospora subterranea infects potato roots and tubers, resulting in considerable loss of potato tuber yield and quality. A comprehensive understanding of how potato plants respond to S. subterranea infection is essential for the development of pathogen-resistant crops. Here we employed label-free proteomics and phosphoproteomics to quantify protein-level responses of the susceptible and resistant potato cultivars in response to S. subterranea. A total of 2669 proteins and 1498 phosphoproteins were quantified in the leaf samples of the different treatment groups. Following statistical analysis of the proteomic data, oxidoreductase activity, electron transfer, and photosynthesis were identified as significant processes that differentially changed upon infection specifically in the resistant cultivar and not in the susceptible cultivar. The phosphoproteomics results indicated increased activity of signal transduction and defence response functions in the resistant cultivar. In contrast, the majority of increased phosphoproteins in the susceptible cultivar were related to transporter activity and localisation. This study provides new insight into the molecular mechanisms involved in potato resistance to S. subterranea infection and has highlighted the critical roles of protein phosphorylation in the regulation of potato immune response.

2022-04-07 | PXD031529 | Pride

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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