Starting and Maintaining <i>Monosiga brevicollis</i> Cultures
Bibliographic record
Abstract
INTRODUCTION Choanoflagellates are heterotrophic nanoflagellates: small, colorless protozoa that are present in marine and freshwater environments as well as in hydrated soils. Because they are the closest living relatives of the metazoa, the study of their cell biology and genomes promises to provide new insights into metazoan ancestry and origins. Most, if not all, choanoflagellates are heterotrophs that prey on bacteria. Thus, all choanoflagellate media provide nutrition for bacteria, which are in turn consumed by the choanoflagellates. If a culture is axenic or has low bacterial content, it can be supplemented with a specific bacterial strain that has been grown separately. On the other hand, if a culture already contains a well-established flora of bacteria, it can be cocultured with the choanoflagellate isolate. In either case, it is common to enrich the medium with an organic extract, such as liver extract, cereal grass infusion, or a mixture of proteose peptone and yeast extract. This protocol describes how to start cultures of the marine choanoflagellate species, Monosiga brevicollis, from frozen stocks. These cultures can then be maintained and expanded in preparation for DNA or RNA isolation or cell biological assays.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.009 |
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".