Dataset Information

Protein identification of the wasp venom

ABSTRACT: Protein identification and proteome analyses of the wasp venom proteins The venom was isolated. The proteins were isolated and subjected to LC-MS.

INSTRUMENT(S):

ORGANISM(S): Vespa Mandarinia

TISSUE(S): Venom

SUBMITTER: 晓耘牛

LAB HEAD: Pu Yang

PROVIDER: PXD056368 | Pride | 2026-06-15

REPOSITORIES: Pride

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Multi-Omics Analyses Elucidate the Venom Components of the Wasp Vespa mandarinia.

Shi Yuan-Chong YC Mo Hai-Feng HF Yu Shu-Hui SH Niu Xiao-Yun XY Yang Pu P

Ecology and evolution 20260527 6

The wasp Vespa mandarinia was widely reared in Yunnan province in China. It is characterized by notable toxicity, large body size, and strong invasiveness. Its extremely potent venom and high output lead to aggressive behavior. To elucidate the composition of V. mandarinia venom, proteome, peptidome, and metabolome analyses were conducted in this study. Proteome analysis identified 2189 proteins, among which 842 were proteases, and 20 were venom-related proteases. 1294 proteins wer ...[more]

PMID: 42256179

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Project description:Background The generalist dipteran pupal parasitoid Nasonia vitripennis injects 79 venom peptides into the host before egg laying. This venom induces several important changes in the host, including developmental arrest, immunosuppression, and alterations to normal metabolism. It is hoped that diverse and potent bioactivities of N. vitripennis venom provide an opportunity for the design of novel acting drugs. However, currently very little is known about the individual functions of N. vitripennis venom peptides and less than half can be bioinformatically annotated. The paucity of annotation information complicates the design of studies that seek to better understand the potential mechanisms underlying the envenomation response. Although the RNA interference system of N. vitripennis provides an opportunity to functionally characterise venom encoding genes, with 79 candidates this represents a daunting task. For this reason we were interested in determining the expression levels of venom encoding genes in the venom gland, such that this information could be used to rank candidate venoms. To do this we carried out deep sequencing of the transcriptome of the venom gland and neighbouring ovary tissue and used RNA-seq to measure expression from the 79 venom encoding genes. The generation of a specific venom gland transcriptome dataset also provides further opportunities to investigate novel features of this highly specialised organ. Results High throughput sequencing and RNA-seq revealed that the highest expressed venom encoding gene in the venom gland was a serine protease called Nasvi2EG007167, which has previously been implicated in the apoptotic activity of N. vitripennis venom. As expected the RNA-seq confirmed that the N. vitripennis venom encoding genes are almost exclusively expressed in the venom gland relative to the neighbouring ovary tissue. Novel peptides appear to perform key roles in N. vitripennis venom function as only four of the highest 15 expressed venom encoding genes are bioinformatically annotationed. The high throughput sequencing data also provided evidence for the existence of an additional 471 novel genes in the Nasonia genome that are expressed in the venom gland and ovary. Finally, metagenomic analysis of venom gland transcripts identified viral transcripts that may play an important part in the N. vitripennis venom function. Conclusions The expression level information provided here for the 79 venom encoding genes provides an unbiased dataset that can be used by the N. vitripennis community to identify high value candidates for further functional characterisation. These candidates represent bioactive peptides that have value in drug development pipelines.

			Action	DRS
	22P0833_1_1.mgf	Mgf
	22P0833_1_1.wiff	Wiff
	22P0833_1_1.wiff.scan	Wiff
	22P0833_1_10.mgf	Mgf
	22P0833_1_10.wiff	Wiff

Dataset Information

Protein identification of the wasp venom

Dataset's files

Publications

Multi-Omics Analyses Elucidate the Venom Components of the Wasp <i>Vespa mandarinia</i>.

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OmicsDI is part of the ELIXIR infrastructure

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Dataset Information

Protein identification of the wasp venom

Dataset's files

Publications

Multi-Omics Analyses Elucidate the Venom Components of the Wasp &lt;i&gt;Vespa mandarinia&lt;/i&gt;.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Multi-Omics Analyses Elucidate the Venom Components of the Wasp <i>Vespa mandarinia</i>.