Root Endophytes of Coffee (<i>Coffea</i> <i>arabica</i>): Variation Across Climatic Gradients and Relationships with Functional Traits
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The root microbiome of Central American coffee trees was studied from four different sites experiencing different annual temperatures and precipitation levels, sampling from plots grown conventionally and under agroforestry management (with shade trees). Total community DNA was separately extracted from roots from four trees sampled from each site/management pair and analyzed using terminal restriction fragment polymorphism analysis and also next generation sequencing (Illumina) of fungal and bacterial ribosomal amplicons. Community profiles were analyzed for site and management effects and correlations to environmental parameters and tree leaf and root economic traits. Communities of both bacteria and fungi varied with site locations, but were not impacted by management system type. They also both varied strongly with environmental parameters. Fungal communities also showed significant variation that could be attributed to plant leaf and root traits. Pooled DNA samples from each site/management regime were used to generate amplicons for next generation sequencing to determine the dominant members of the coffee root microbiome at these locations. Core bacterial genera included Pantoea, Enterobacter, and Burkholderia, while fungal core communities were dominated by members of Cladosporium, Penicillium, Exidiopsis, Trechispora, and Mycena. The potential ecological function of these microbial associates is discussed.
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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 it