ArticleFrontiers in microbiology2021
Context Dependency in Bark Beetle-Fungus Mutualisms Revisited: Assessing Potential Shifts in Interaction Outcomes Against Varied Genetic, Ecological, and Evolutionary Backgrounds.
Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Dose-response modelling uncovers compound-specific inhibitory effects of host defence volatiles on mountain pine beetle fungal symbionts.Pest management science · 2026Article
- Amplicon-Based Profiling of Fungal Communities Associated with Scots Pine Bark Beetles: Selective Antagonism and Monoterpene Tolerance.International journal of molecular sciences · 2026Article
- The social context in bark beetle - fungus bioassays: a case study in European fir engraver bark beetles and their fungal associates.Frontiers in microbiology · 2025Article
- Water Stress and Black Cutworm Feeding Modulate Plant Response in Maize Colonized byPathogens (Basel, Switzerland) · 2024Article
- Article
- Dynamics and drivers of fungal communities in a multipartite ant-plant association.BMC biology · 2024Article
- Coconut rhinoceros beetle digestive symbiosis with potential plant cell wall degrading microbes.NPJ biofilms and microbiomes · 2024Article
- Comparative metabarcoding and biodiversity of gut-associated fungal assemblages ofFrontiers in microbiology · 2024Article
- Fidelity or love the one you're with? Biotic complexity and tradeoffs can drive strategy and specificity in beetle-fungus by-product mutualisms.Ecology and evolution · 2023Article
- Performance of twoFrontiers in plant science · 2022Article
- Metabarcoding of mycetangia from theFrontiers in microbiology · 2022Article
- Diversity and Evolution ofJournal of fungi (Basel, Switzerland) · 2021Article
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2 authors.
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Abstract
Context dependency occurs when biological interactions shift in sign or magnitude depending upon genetic, abiotic, and biotic context. Most models of mutualism address systems where interaction outcomes slide along a mutualism-antagonism continuum as environmental conditions vary altering cost-benefit relationships. However, these models do not apply to the many mutualisms that involve by-product benefits and others that do not have antagonistic alternate states. The ubiquity of such mutualisms indicates a need for different approaches and models to understand how environmental variability influences their strength, stability, and ecological roles. In this paper, we apply the concept of context dependency to mutualisms among bark beetles and fungi that span a variety of life strategies and exposures to environmental variability. Bark beetles and their mutualist fungi co-construct a niche based on by-product benefits that allows them to exist in a resource that is otherwise intractable or inaccessible. For the closest of these partnerships, this has resulted in some of the most influential agents of forest mortality in conifer forests worldwide. Understanding these symbioses is key to understanding their influence on forest structure and dynamics and responses to change. We found no evidence that bark beetle mutualisms change in sign as conditions vary, only in magnitude, and that the "closest" (and most environmentally influential) of these partnerships have evolved behaviors and mechanisms to reduce context-dependency and stabilize benefit delivery. The bark beetle-fungus symbioses most likely to slide along a mutualism-antagonism continuum are those involving loosely associated facultative symbionts that may provide benefits under some circumstances and that are horizontally transmitted by the beetle host. Additionally, some symbiotic fungi are never mutualists - these "third party" fungi are exploiters and may shift from commensalism to antagonism depending on environmental context. Our assessment indicates that a careful differentiation between bark beetle-fungus partnerships is crucial to understanding how they influence forests and respond to environmental variability.
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