Hunting for agile prey: trophic specialisation in leptophryid amoebae (Vampyrellida, Rhizaria) revealed by two novel predators of planktonic algae
Bibliographic record
Abstract
Vampyrellid amoebae (Vampyrellida, Rhizaria) are widespread in freshwater, marine and terrestrial ecosystems and consume a wide range of eukaryotes, e.g. algae, fungi and micrometazoa. Environmental sequences indicate that only a small fraction of their genetic diversity is phenotypically characterised, emphasising the need to further explore unknown vampyrellids and their interactions with prey organisms. This study tests the prey range specificity of three vampyrellid amoebae with 49 strains of three common groups of freshwater algae (Zygnematophyceae, Euglenophyceae and Volvocales), and documents specific interactions by time-lapse microscopy. Two of the amoebae, here introduced as the novel genera Arachnomyxa and Planctomyxa based on morphology and SSU rRNA gene comparisons, display a complementary prey range and consume motile algae, namely Volvocales and Euglenophyceae, respectively. This reveals the existence of specialised 'plankton feeders' in the vampyrellid family Leptophryidae, contrasting with the strikingly broad prey range of Leptophrys vorax. The distinct autecological characteristics found in this group of morphologically rather indistinct amoebae contribute to our knowledge about the vastly understudied vampyrellid amoebae. Furthermore, time-lapse observations suggest that euglenoid movements exerted by the sluggish species of the 'Euglena deses group' as a reaction to vampyrellid contact may serve as an effective defence against microbial predators.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".