MyDiv
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB38894 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR4254260_1.fastq.gz | Fastqsanger.gz | |||
| ERR4254260_2.fastq.gz | Fastqsanger.gz | |||
| ERR4254270_1.fastq.gz | Fastqsanger.gz | |||
| ERR4254270_2.fastq.gz | Fastqsanger.gz | |||
| ERR4254280_1.fastq.gz | Fastqsanger.gz |
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Project description:Plant volatile organic compounds (VOCs) play a key role in defense against herbivores and in mediating multitrophic interactions. Yet, how surrounding plant diversity modulates these responses in forest trees remains poorly understood. We examined the effects of tree species richness on induced VOC emissions and arthropod predation in Quercus petraea in a biodiversity-ecosystem functioning experiment. Individual branches were repeatedly induced with methyl jasmonate and paired with non-induced controls. VOCs were collected using PDMS tubes after the first and last induction rounds and analyzed by TD-GC-MS. Predation was quantified using artificial clay caterpillars. Jasmonate induction strongly altered VOC profiles, with effects increasing after repeated treatments. Tree species richness modulated VOC composition during the first sampling period, particularly affecting sesquiterpenes. However, absolute VOC compound class emissions did not explain variation in arthropod predation probability, while class-level composition showed only weak and inconsistent effects across sampling periods. These results suggest that indirect defense outcomes in terms of predator responses are unlikely to depend on overall VOC emission strength or broad chemical classes but may instead be mediated by fine-scale properties of volatile blends.
2026-02-17 | MSV000100870 | MassIVE
Project description:<p>Plants produce thousands of compounds, collectively called the metabolome, which mediate interactions with other organisms. The metabolome of an individual plant may change according to the number and nature of these interactions. We tested the hypothesis that tree diversity level affects the metabolome of four subtropical tree species in a biodiversity ecosystem-functioning experiment, BEF-China. We postulated that the chemical diversity of leaves, roots and root exudates increases with tree diversity. We expected the strength of this diversity effect to differ among leaf, root and root exudates samples. Considering their role in plant competition, we expected to find the strongest effects in root exudates. In an ecometabolomics approach, roots, root exudates and leaves of four tree species (Cinnamomum camphora, Cyclobalanopsis glauca, Daphniphyllum oldhamii, Schima superba) were sampled from selected plots in BEF-China. Samples were extracted and analysed using Liquid Chromatography-Time of Flight-Mass Spectrometry. The exudate metabolomes were normalized over their non-purgeable organic carbon level. Multivariate analyses were applied to identify the effect of both neighbouring (local) trees and plot diversity on tree metabolomes. The species and sample specific metabolites were assigned to major compound classes using the ClassyFire tool, whereas m/z features related to diversity effects were annotated manually. Individual tree species showed distinct leaf, root and root exudate metabolomes. The main compound class in leaves were the flavonoids, whereas carboxylic acids, prenol lipids and specific alkaloids were most prominent in root exudates and roots. Overall plot diversity had a stronger effect on metabolome profiles than the diversity of local, directly neighbouring trees. Leaf metabolomes responded more often to tree diversity level than exudates, whereas root metabolomes varied the least. We found not overall correlation between metabolite richness or diversity and tree diversity. Synthesis: Classification of metabolites supported initial ecological interpretation of differences among species and organs. Particularly the metabolomes of leaves and root exudates respond to differences in tree diversity. These responses were neither linear nor uniform and individual metabolites showed different dynamics. More controlled interaction experiments are needed to dissect the causes and consequences of the observed shifts in plant metabolomes.</p>
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Project description:Fire is a crucial event regulating the structure and functioning of many ecosystems. Yet few studies focused on how fire affects both the taxonomic and functional diversity of soil microbial communities, along with plant diversity and soil carbon (C) and nitrogen (N) dynamics. Here, we analyze these effects for a grassland ecosystem 9-months after an experimental fire at the Jasper Ridge Global Change Experiment (JRGCE) site in California, USA. Fire altered soil microbial communities considerably, with community assembly process analysis indicating that environmental selection pressure was higher in burned sites. However, a small subset of highly connected taxa were able to withstand the disturbance. In addition, fire decreased the relative abundances of most genes associated with C degradation and N cycling, implicating a slow-down of microbial processes linked to soil C and N dynamics. In contrast, fire stimulated plant growth, likely enhancing plant-microbe competition for soil inorganic N. To synthesize our findings, we performed structural equation modeling, which showed that plants but not microbial communities were responsible for the significantly higher soil respiration rates in burned sites. In conclusion, fire is well-documented to considerable alter the taxonomic and functional composition of soil microorganisms, along with the ecosystem functioning, thus arousing feedback of ecosystem responses to affect global climate.
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Project description:biodiversity ecosystem functioning
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Project description:Understanding the biogeographical patterns and underlying drivers of microbial functional diversity is essential for anticipating climate change impacts on ecosystem functioning worldwide. However, this matter remains scarcely addressed in freshwater ecosystems. Using the high-throughput gene array GeoChip 4.0, we show that functional gene alpha diversity and compositon differ across mountains, alpha diversity declines towards high elevations and compositional turnover increases with larger elevational distances. Both continental- and mountain-scale patterns were primarily driven by climatic variables.
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Project description:Can we predict ecosystem functioning using tightly linked functional gene diversity?
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