Starting and Maintaining <i>Monosiga brevicollis</i> Cultures
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
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.
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.
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) | 0.001 | 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 it