ReviewJournal of chemical ecology2014
Terpenes tell different tales at different scales: glimpses into the Chemical Ecology of conifer - bark beetle - microbial interactions.
Review in Journal of chemical ecology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 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
- The potential role of volatile organic compounds on the colonisation of deadwood by saproxylic beetles.Oecologia · 2026Article
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- Pinewood nematode induced changes in the assembly process of gallery microbiomes benefit its vector beetle's development.Microbiology spectrum · 2024Article
- A Pine in Distress: How Infection by Different Pathogenic Fungi Affect Lodgepole Pine Chemical Defenses.Microbial ecology · 2023Article
- Impact of Wood Age on Termite Microbial Assemblages.Applied and environmental microbiology · 2023Article
- Conifer-killing bark beetles locate fungal symbionts by detecting volatile fungal metabolites of host tree resin monoterpenes.PLoS biology · 2023Article
- Volatile-mediated between-plant communication in Scots pine and the effects of elevated ozone.Proceedings. Biological sciences · 2022Article
- Monoterpene Synthase Genes and Monoterpene Profiles inPlants (Basel, Switzerland) · 2022Article
- Chemical Traits that Predict Susceptibility of Pinus radiata to Marsupial Bark Stripping.Journal of chemical ecology · 2022Article
- Lessons From Insect Fungiculture: From Microbial Ecology to Plastics Degradation.Frontiers in microbiology · 2022Article
- Host Plant Species Influences the Composition of Milkweed and Monarch Microbiomes.Frontiers in microbiology · 2022Article
- Evidence for Semiochemical Divergence Between Sibling Bark Beetle Species: Dendroctonus brevicomis and Dendroctonus barberi.Journal of chemical ecology · 2021Article
- Unravelling the gut bacteriome of Ips (Coleoptera: Curculionidae: Scolytinae): identifying core bacterial assemblage and their ecological relevance.Scientific reports · 2020Article
- Production of constitutive and induced secondary metabolites is coordinated with growth and storage in Norway spruce saplings.Tree physiology · 2020Article
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- Metagenomics Reveals Diet-Specific Specialization of Bacterial Communities in Fungus Gardens of Grass- and Dicot-Cutter Ants.Frontiers in microbiology · 2020Article
- The cytochrome P450 CYP6DE1 catalyzes the conversion of α-pinene into the mountain pine beetle aggregation pheromone trans-verbenol.Scientific reports · 2019Article
- Cytochromes P450 Preferentially Expressed in Antennae of the Mountain Pine Beetle.Journal of chemical ecology · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chemical signaling mediates nearly all aspects of species interactions. Our knowledge of these signals has progressed dramatically, and now includes good characterizations of the bioactivities, modes of action, biosynthesis, and genetic programming of numerous compounds affecting a wide range of species. A major challenge now is to integrate this information so as to better understand actual selective pressures under natural conditions, make meaningful predictions about how organisms and ecosystems will respond to a changing environment, and provide useful guidance to managers who must contend with difficult trade-offs among competing socioeconomic values. One approach is to place stronger emphasis on cross-scale interactions, an understanding of which can help us better connect pattern with process, and improve our ability to make mechanistically grounded predictions over large areas and time frames. The opportunity to achieve such progress has been heightened by the rapid development of new scientific and technological tools. There are significant difficulties, however: Attempts to extend arrays of lower-scale processes into higher scale functioning can generate overly diffuse patterns. Conversely, attempts to infer process from pattern can miss critically important lower-scale drivers in systems where their biological and statistical significance is negated after critical thresholds are breached. Chemical signaling in bark beetle - conifer interactions has been explored for several decades, including by the two pioneers after whom this award is named. The strong knowledge base developed by many researchers, the importance of bark beetles in ecosystem functioning, and the socioeconomic challenges they pose, establish these insects as an ideal model for studying chemical signaling within a cross-scale context. This report describes our recent work at three levels of scale: interactions of bacteria with host plant compounds and symbiotic fungi (tree level, biochemical time), relationships among inducible and constitutive defenses, population dynamics, and plastic host-selection behavior (stand level, ecological time), and climate-driven range expansion of a native eruptive species into semi-naïve and potentially naïve habitats (geographical level, evolutionary time). I approach this problem by focusing primarily on one chemical group, terpenes, by emphasizing the curvilinear and threshold-structured basis of most underlying relationships, and by focusing on the system's feedback structure, which can either buffer or amplify relationships across scales.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.