Molecular approaches promise a deeper and broader understanding of the evolutionary ecology of aquatic hyphomycetes
Bibliographic record
Abstract
Research on aquatic hyphomycetes has been dominated by process-oriented approaches. The main objectives have been accurate estimates of fungal biomass and production and measuring fungal impact on plant litter decomposition. In some cases, these estimates have been complemented by community assessments based on spore counts. Many other ecological and evolutionary topics, commonly studied in macroorganisms, were largely inaccessible, in part because of the low morphological complexity of fungal structures and the near impossibility of identifying them in situ unless attached to propagules. Molecular methods rely on extraction, amplification (polymerase chain reaction) and characterization (denaturing gradient gel electrophoresis, digitized fluorescent restriction-fragment length polymorphism, sequencing) of deoxyribonucleic acid (DNA), which occurs in all cells regardless of their reproductive status. Molecular methods allow more comprehensive characterizations of fungal diversity and evolution. Enzymatic activities can be explored at the level of gene presence (DNA amplification and sequencing), gene transcription (reverse transcription of messenger ribonucleic acid [mRNA]), by quantifying the total amount of specified enzymes in a sample via global antibodies, or by estimating their effect on model compounds. Selected actual and potential applications of these techniques are reviewed.
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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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".