PXD062819

PXD062819 is an original dataset announced via ProteomeXchange.

Title	Omics Insights into the Effects of Highbush Blueberry and Cranberry Crop Agroecosystems on Honey Bee Health and Physiology
Description	Honey bees (Apis mellifera) are essential pollinators in agricultural systems, particularly in fruit-producing agroecosystems such as highbush blueberry and cranberry. However, their health is increasingly compromised by multiple interacting stressors, including pesticide exposure, pathogen infections, and changing nutritional landscapes. To test the hypothesis that distinct agricultural ecosystems, with different combinations of agrochemical exposure, pathogen loads, and floral resources, elicit ecosystem specific, tissue level molecular responses in honey bees, we conducted an integrated multiomics analysis. We combined RNA sequencing, quantitative proteomics, and gut microbiome profiling across three key tissues: head, abdomen, and gut collected from bees in blueberry and cranberry agroecosystems over two field seasons. In parallel, we quantified pesticide residues and pathogen and parasite loads (e.g., Nosema spp., Varroa destructor, and several viruses). Notably, our weighted gene co-expression network analysis (WGCNA) revealed tissue specific coregulated protein modules with ecosystem associated patterns. Bees from blueberry agroecosystems exhibited elevated expression of modules in oxidative phosphorylation, and translation, while those from cranberry agroecosystems showed increased activity in immune pathways and endoplasmic reticulum associated protein processing, indicating potential as robust markers for ecosystem induced physiological adaptation. To further explore the molecular mechanisms underlying different ecosystems, we also conducted the integrative analysis of proteomics, transcriptomics and gut microbiome metagenomics. Gut microbiota composition also differed significantly, with key genera (e.g., Gilliamella, Snodgrassella, Bartonella) correlating with host metabolic and immune modules. These findings underscore the complex, environment-dependent impacts of agroecosystem conditions on bee health. Our study provides a systems level understanding of how combined pesticide, pathogen, and parasitic stressors, mediated by diet and microbiome, shape molecular phenotypes in honey bees, informing strategies for pollinator protection in managed landscapes.
HostingRepository	MassIVE
AnnounceDate	2025-08-14
AnnouncementXML	Submission_2025-08-14_09:43:52.943.xml
DigitalObjectIdentifier
ReviewLevel	Non peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Renata Moravcova
SpeciesList	scientific name: Apis mellifera; common name: honey bee; NCBI TaxID: 7460;
ModificationList	No PTMs are included in the dataset
Instrument	timsTOF Pro

Revision	Datetime	Status	ChangeLog Entry
0	2025-04-10 11:38:20	ID requested
⏵ 1	2025-08-14 09:43:53	announced

no publication

submitter keyword: Apis Mellifera, co-expression networks, microbiome, proteomics, transcriptomics, DatasetType:Proteomics

Leonard J. Foster
contact affiliation	Michael Smith Laboratories, Biochemistry and Molecular Biology, University of British Columbia, Canada
contact email	foster@msl.ubc.ca
lab head
Renata Moravcova
contact affiliation	The University of British Columbia
contact email	renata.moravcova@msl.ubc.ca
dataset submitter

MassIVE dataset URI

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