Digestive tract and leaf processing capacity of the stream invertebrate<i>Tipula lateralis</i>
Bibliographic record
Abstract
We investigated the digestive potential of the stream detritivore Tipula lateralis Meigen, 1804 as a tool to understand and predict their ability to adapt to environmental changes, such as the nature of leaf resources reaching streams. The structure of larval digestive tracts and the presence of bacteria were investigated by scanning and transmission electron microscopy. Gut sections were investigated with respect to pH, microbial counts, and ability to digest protein and carbohydrates of unconditioned leaves of Alnus glutinosa (L.) Gaertn. and Eucalyptus globulus Labill. Alkaline conditions prevailed throughout the gut, with the highest values in the middle midgut (pH up to 10.8). An abundant microflora was closely associated with the caecum (~34 × 104colony forming units (cfu)) and hindgut (~50 × 104cfu), whereas the foregut and midgut seemed to be almost devoided of permanent bacteria (~0.45 × 104to ~2.1 × 104cfu). Digestion of T. lateralis seems to be optimized by compartmentalization: proteinase activity was limited to the midgut (0.017 ± 0.0054 change in absorbance units), while the capacity to release reducing substances was almost completely restricted to the caecum and being higher when alder was used as a substratum (0.437 ± 0.153 g glucose·mg–1·h–1). Eucalyptus oils resulted in a 25% reduction in enzymatic capability of gut extracts. Overall, the results suggest that T. lateralis has the enzymatic capability of feeding on recalcitrant leaves, but specific components of leaves such as oils have the potential to interfere with food intake by this leaf consumer. In a more general context, the results help to assess biological changes introduced by eucalyptus plantations in non-native areas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".