Three‐Dimensional Fruit Tissue Habitats for Culturing <i>Caenorhabditis elegans</i>
Bibliographic record
Abstract
Environmental factors influence many traits of biological interest, but reproducing an animal's natural habitat in a controlled laboratory environment is challenging. Environmental enrichment-adding complexity to the usually simplistic conditions under which laboratory animals are raised-offers a potential tool for better understanding biological traits while maintaining controlled laboratory conditions. For the model nematode Caenorhabditis elegans, the contrast between the natural environment and the laboratory conditions in which they are raised is enormous. Although several methods have been developed in an effort to complexify C. elegans laboratory conditions, there is still a need for an enriched controlled laboratory habitat in which C. elegans can be raised over several generations, the bacterial food availability is similar to that in traditional agar plates, and the animals are crawling as opposed to swimming or burrowing. To this end, we describe here a standardized protocol for creating controlled, reproducible, three-dimensional environments for multigenerational maintenance of C. elegans in the laboratory. These environments are derived from decellularized apple hypanthium tissue and have bacterial food uniformly distributed throughout. We also describe how traditional C. elegans methods of collecting synchronized eggs, cleaning contaminated stocks, and collecting animal populations are adapted to our scaffold environment. These methods can be adapted to host different bacteria or bacterial populations, and the resulting scaffolds can be used in a range of experimental designs for behavioral and phenotypical studies in C. elegans and other nematodes. © 2021 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Decellularization and storage of apple tissue Basic Protocol 2: Preparation of plates from decellularized apple scaffolds Basic Protocol 3: Synchronization of eggs or animals and cleaning contaminated stocks from scaffold plates Alternate Protocol: Collection of non-synchronized larvae and adults from scaffold plates.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".