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Updated: May 10, 2025

Empirical, Metagenomic, and Computational Techniques Illuminate the Mechanisms by which Fungicides Compromise Bee Health
Published on: October 9, 2017
Urban wild bee well-being revealed by gut metagenome data: A mason bee model
Yiran Li1, Chengweiran Liu1, Yiran Wang1
1Department of Biosciences and Bioinformatics, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, China.
Abstract:
Wild bees are ecologically vital but increasingly threatened by anthropogenic activities, leading to uncertain survival and health outcomes in urban environments. The gut microbiome contains features indicating host health and reflecting long-term evolutionary adaptation and acute reactions to real-time stressors. Moving beyond bacteria, we propose a comprehensive analysis integrating diet, bacteriome, virome, resistome, and their association to understand the survival status of urban lives better. We conducted a study on mason bees (Osmia excavata) across 10 urban agricultural sites in Suzhou, China, using shotgun gut metagenome sequencing for data derived from total gut DNA. Our findings revealed that most ingested pollen originated from Brassica crops and the unexpected garden tree Plantanus, indicating that floral resources at the 10 sites supported Osmia but with limited plant diversity. Varied city landscapes revealed site-specific flowers that all contributed to Osmia sustenance. The gut bacterial community, dominated by Gammaproteobacteria, showed remarkable structural stability across 8 sites but suggested perturbations at 2 sites. Antibiotic resistance gene profiles highly varied across 10 sites with prevalent unclassified drug classes, highlighting environmental threats to both bees and humans. The virome analysis identified honeybee pathogens, suggesting potential virus spillover. Many unknown bacteriophages were detected, some of which targeted the core gut bacteria, underscoring their role in maintaining gut homeostasis. These multifaceted metagenomic insights hold the potential to predict bee health and identify environmental threats, thereby guiding probiotic development and city management for effective bee conservation.

