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Honey proteome of the bumblebee Bombus terrestris

ABSTRACT: The biological samples analyzed in this study were honey samples from the bumblebee B. terrestris. Commercially available Tripol hives used for pollination consist of three complete bumblebee colonies (Koppert Biological Systems). Four Tripol hives (12 colonies overall) were placed in the Crop Research Institute (Prague-Ruzyne, Czechia) at the time of rapeseed Brassica napus and apple tree flowering. Honey stores were manually collected into 50-mL sterile centrifuge tubes. Honey samples per colony were pooled. These 12 honey samples were analyzed using label-free nano-LC-MS/MS. In addition, 3 bands excised from 1D-E SDS-PAGE were analyzed using nano-LC-MS/MS. Note that modification for analysis the bands was carbamidomethyl instead of MethylThio. Combined.txt and used databases are provided.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Bombus Terrestris (ncbitaxon:30195)

SUBMITTER: Tomas Erban

PROVIDER: MSV000088979 | MassIVE | Thu Mar 03 11:09:00 GMT 2022

SECONDARY ACCESSION(S): PXD032026

REPOSITORIES: MassIVE

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Project description:Purpose: Parts of Europe and the United States have witnessed dramatic losses in commercially managed honey bees over the past decade to what is considered an unsustainable extent. The large-scale loss of honey bees has considerable implications for the agricultural economy because honey bees are one of the leading pollinators of numerous crops. Honey bee declines have been associated with several interactive factors. Poor nutrition and viral infection are two environmental stressors that pose heightened dangers to honey bee health. Methods: We used RNA-sequencing to examine how monofloral diets (Rockrose and Chestnut) and Israeli acute paralysis virus inoculation influence gene expression patterns in honey bees. Results: We found a considerable nutritional response, with almost 2,000 transcripts changing with diet quality. The majority of these genes were over-represented for nutrient signaling (insulin resistance) and immune response (Notch signaling and JaK-STAT pathways). Somewhat unexpectedly, the transcriptomic response to viral infection was fairly limited. We only found 43 transcripts to be differentially expressed, some with known immune functions (argonaute-2), transcriptional regulation, and muscle contraction. We created contrasts to determine if any protective mechanisms of good diet were due to direct effects on immune function (resistance) or indirect effects on energy availability (tolerance). A similar number of resistance and tolerance candidate differentially expressed genes were found, suggesting both processes may play significant roles in dietary buffering from pathogen infection. We also compared the virus main effect in our study (polyandrous colonies) to that obtained in a previous study (single-drone colonies) and verified significant overlap in differential expression despite visualization methods showing differences in the noisiness levels between these two datasets. Conclusions: Through transcriptional contrasts and functional enrichment analysis, we add to evidence of feedbacks between diet and disease in honey bees. We also show that comparing results derived from polyandrous colonies (which are typically more natural) and single-drone colonies (which usually yield more signal) may allow researchers to identify transcriptomic patterns in honey bees that are concurrently less artificial and less noisy. Altogether, we hope this work underlines possible merits of using data visualization techniques and multiple datasets when interpreting RNA-sequencing studies.

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Honey proteome of the bumblebee Bombus terrestris

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