Flowering Plant Microbiomes and Network Interactions Across an Urban Gradient
Bibliographic record
Abstract
We used flowers to explore how ephemeral anthosphere microbiomes differ among flowering plant species and along an urban gradient. Here, we sequenced 16S rRNA for bacteria, ITS1 for fungi and rbcL for plant DNA from 10 different plant species sampled to characterise anthosphere microbiomes along an urban gradient and identify important network interactions. Bacterial and fungal flower microbiomes significantly differed in diversity across plant species, especially among Asteraceae and Fabaceae. Across all analyses, four taxa, the bacteria Pantoea and Rosenbergiella and the fungi Alternaria and Cladosporium were highly prevalent and contributed to the majority of microbiome composition differences observed between plant species. These four taxa harbour strains or species that may be either pathogenic or beneficial to plants. Across a land use gradient, the plant community bacterial and fungal microbiome was stable and consistent. Flower-plant networks confirmed all focal flower families in abundance on each sampled flower, with the addition of Paulowniaceae, suggesting that pollinators visiting the focal flowers also visit this plant family. Our findings reveal that anthosphere microbiomes are diverse at the plant community level and encouragingly remain robust against urbanisation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".