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IzLepSacc

ABSTRACT: Lepisma saccharina (silverfish), genomic and transcriptomic data

PROVIDER: PRJEB85215 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR14224667_1.fastq.gz	Fastqsanger.gz
	ERR14224667_2.fastq.gz	Fastqsanger.gz
	ERR14224668_1.fastq.gz	Fastqsanger.gz
	ERR14224668_2.fastq.gz	Fastqsanger.gz
	ERR14209194.fastq.gz	Fastqsanger.gz

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izLepSacc

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Project description:Saccharina japonica is one of the most important marine economic crops worldwide. Blue light usually plays a significant role in the lives of Saccharina that may be beneficial to the culture system. Here we applied high-throughput paired-end RNA-sequencing (RNA-Seq) to the transcriptome of Saccharina japonica with blue light and dark exposure respectively. Comparative analysis of gene expression was conducted to understand the underlying molecular mechanisms. RNA-seq analysis yielded 70,497 non-redundant unigenes. 25,924 unigenes of them had good comparability with known gene sequences in existing species. Based on the values of RPKM, 11,660 differentially expressed unigenes were detected in expression profiles between blue light and dark exposed samples. Our results provide clues to potential genes identification in the species and lay the foundation for future functional genomics study.

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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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