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Silkworm hemolymph Transcriptome raw data

ABSTRACT: silkworm hemolymph Transcriptome raw data Raw sequence reads

PROVIDER: PRJNA1007243 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR25700523_1.fastq.gz	Fastqsanger.gz
	SRR25700523_2.fastq.gz	Fastqsanger.gz
	SRR25700524_1.fastq.gz	Fastqsanger.gz
	SRR25700524_2.fastq.gz	Fastqsanger.gz
	SRR25700525_1.fastq.gz	Fastqsanger.gz

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The Small RNA Profile of Silkworm Hemolymph Using Deep Sequencing

Project description:Human utilization of the mulberry-silkworm interaction started at least 5,000 years ago and greatly influenced world history through the Silk Road. Complementing the silkworm genome sequence, here we describe the genome of a mulberry species (Morus notabilis C. K. Schneider). In the 330 Mb genome assembly of M. notabilis, we identified 128 Mb of repetitive sequences and 29,338 genes, 60.8% of which were supported by transcriptome sequencing. Mulberry gene sequences appear to evolve ~3 times faster than other Rosales, perhaps facilitating its spread to Europe, Africa, and America. It is among few eudicots but several Rosales not preserving genome duplications in more than 100 million years – however neopolyploid series in mulberry and several others suggest that new duplications may confer benefits. Strikingly, five predicted mulberry miRNAs were found in the hemolymph and silkglands of silkworm, suggesting profound molecular level interactions that promise to expand knowledge of plant-herbivore relationship which constitute key elements of most terrestrial habitats. In addition, we investigated the characters of hemolymph small RNA. small mRNA profiles of silkworm hemolymph in the fifth instar day-5 silkworm were generated by deep sequencing, in twice, using Illumina Hiseq 2000.

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Unravelling the cellular and humoral immune responses of Antheraea pernyi hemolymph to Antheraea pernyi nucleopolyhedrovirus infection

Project description:Purpose: With the advent of next generation sequencing technologies, several researches have been focused on the molecular mechanism underlying the innate immunity of insects based on the changes of gene expression profiles in hemolymph. The goal of this study is to detect the differences in transcript levels in A. pernyi hemolymph in response to ApNPV. Methods:The A. pernyi hemolymph infected by ApNPV and normal samples were generated by deep sequencing, in triplicate, using Illumina Hiseq 4000. The high-quality reads were obtained by removing the reads that contained adaptor contamination, low quality bases and undetermined bases.The transcriptome were de novo assembly. Results:We constructed six cDNA libraries using RNA samples from the hemolymph in ApNPV-infected and non-infected A. pernyi larvae with three replicates for each group. A total of 50459962, 49797542, 54402474 and 56342454, 56036432, 55471402 raw reads in ApNPV-infected and control groups were generated. After filtering, 48009732, 47241848, 51319586 and 53555764, 53364108, 53077540 clean reads were obtained. All short-read sequences were assembled into 49966 transcripts and 37498 unigenes. Conclusions: The transcriptome sequences were de novo assembled. The differentially expressed genes (DEGs) including both up- and down-regulated genes were obtained. We focused on the innate immunity related DEGs, and screened numerous of DEGs involved in cellular and humoral immune related pathways via bioinformatic analysis. The results of this study lay the foundation for a better understanding of the molecular mechanisms of cellular and humoral immunity of A. pernyi.

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