Ontology highlight
ABSTRACT:
PROVIDER: PRJNA853146 | ENA |
REPOSITORIES: ENA
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Project description:Predatory bugs capture prey by injecting venom from their salivary glands using specialized stylets. Understanding venom function has been impeded by a scarcity of knowledge of their venom composition. We therefore examined the proteinaceous components of the salivary venom of the predatory stink bug Arma chinensis (Hemiptera: Pentatomidae). Using gland extracts and venoms from 5th-instar nymphs or adult females, we performed shotgun proteomics combined with venom gland transcriptomics. We found that the venom of A. chinensis comprised a complex suite of over a hundred individual proteins, including oxidoreductases, transferases, hydrolases, ligases, protease inhibitors, and recognition, transport and binding proteins. Besides the uncharacterized proteins, hydrolases such as venom serine proteases, cathepsins, phospholipase A2, phosphatases, nucleases, alpha-amylases, and chitinases constitute the most abundant protein families. However, salivary proteins shared by and unique to other predatory heteropterans were not detected in A. chinensis venom. Injection of the proteinaceous (> 3 kDa) venom fraction of A. chinensis gland extracts or venom into its prey, the larvae of the Oriental armyworm Mythimna separata (Walker, 1865), revealed insecticidal activity against lepidopterans. Our data expands the knowledge of heteropteran salivary proteins and suggests predatory asopine bugs as a novel source for bioinsecticides.
2023-07-20 | PXD040272 | Pride
Project description:Purpose: the goals of this study are to compare fruit of two clitivars oriental melon transcriptome profiling (RNA-seq) at different stages to explore carotenoid potentail carotenoid accumulation mechanism Methods:The transcriptome sequence of two cultivars oriental melon fruits at different stages were generated by deep sequencing with three repeats using Illumina. The sequence reads that passed filters were mapped to melon genome (http://cucurbitgenomics.org/organism/18) using HISAT2 software. The differently expressed genes were identify by |log2(FoldChange)| > 0 & padj <= 0.05, and qRT–PCR validation was performed using SYBR Green assays Result:Using an optimized data analysis workflow, we mapped about 40 million sequence reads per sample to the melon genome. The differentially expressed genes were functionally classified by GO and KEGG enrichment. We focused on carotenoid metabolism related gene and validated using qRT-PCR. The results showed RNA-seq and qRT-PCR were highly correlated. Conclusion: Our study provided transcriptome sequence of oriental melon fruits at different stages in two cultivars. The optimized data analysis workflows reported here should provide comparative framework of expression profiles. Our transcriptome characterization contribute to analyze gene functions and metabolic process of oriental melon.
2022-01-13 | GSE193412 | GEO
Project description:Chromosomal-level reference genome of moth Heortia vitessoides
| PRJNA654728 | ENA
Project description:Chromosomal-level genome assembly for C. briggsae strain QX1410
| PRJNA776856 | ENA
Project description:Marmota monax Genome sequencing, assembly, and chromosomal-level scaffolding
| PRJNA826499 | ENA