A deeper understanding of system interactions can explain contradictory field results on pesticide impact on honey bees

Dimitri Breda, Davide Frizzera, Giulia Giordano, Elisa Seffin, Virginia Zanni, Desiderato Annoscia, Christopher J. Topping, Franco Blanchini () and Francesco Nazzi ()
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Dimitri Breda: Università degli Studi di Udine
Davide Frizzera: Università degli Studi di Udine
Giulia Giordano: Università degli Studi di Trento
Elisa Seffin: Università degli Studi di Udine
Virginia Zanni: Università degli Studi di Udine
Desiderato Annoscia: Università degli Studi di Udine
Christopher J. Topping: Aarhus University
Franco Blanchini: Università degli Studi di Udine
Francesco Nazzi: Università degli Studi di Udine

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: Abstract While there is widespread concern regarding the impact of pesticides on honey bees, well-replicated field experiments, to date, have failed to provide clear insights on pesticide effects. Here, we adopt a systems biology approach to gain insights into the web of interactions amongst the factors influencing honey bee health. We put the focus on the properties of the system that depend upon its architecture and not on the strength, often unknown, of each single interaction. Then we test in vivo, on caged honey bees, the predictions derived from this modelling analysis. We show that the impact of toxic compounds on honey bee health can be shaped by the concurrent stressors affecting bees. We demonstrate that the immune-suppressive capacity of the widespread pathogen of bees, deformed wing virus, can introduce a critical positive feed-back loop in the system causing bistability, i.e., two stable equilibria. Therefore, honey bees under similar initial conditions can experience different consequences when exposed to the same stressor, including prolonged survival or premature death. The latter can generate an increased vulnerability of the hive to dwindling and collapse. Our conclusions reconcile contrasting field-testing outcomes and have important implications for the application of field studies to complex systems.

Date: 2022
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DOI: 10.1038/s41467-022-33405-7

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