Life-history plasticity in hosts (<i>Lymnaea elodes</i>) exposed to differing resources and parasitism
Bibliographic record
Abstract
Assessing phenotypic expression across environments is essential for understanding the evolution of life histories, yet relatively few studies have empirically determined the role that multiple environmental factors play in altering animal phenotypes. We used a multifactorial approach to investigate the effects of both infection of Echinostoma revolutum (Frölich, 1802) and nutrient availability on phenotypic expressions in lines of the snail Lymnaea elodes (Say, 1821). Lines were initially established via selfing events followed by breeding (within lines) over the next four generations. Juveniles from each line were then size-matched and randomly exposed to parasite (exposed / sham-exposed) and diet (high protein / low protein) treatments, generating a 2 (line) × 2 (diet) × 2 (exposure) factorial design. Snail growth, reproduction, and survival were monitored over 5 weeks. Analyses revealed an interactive effect of host line and infection status on host growth. Main effects of both snail line and diet also significantly influenced host growth. Reproductive patterns differed between lines, with snails from one line producing egg masses and eggs in all treatments, and snails from the second line producing minimal eggs in only a single treatment. Snail survival remained similar between snail lines. Results from this study suggest that snail life-history traits can vary dramatically as a result of host genetics, the environment, and the interaction between these factors. Reasons for the occurrence and maintenance of this variability in life-history traits are discussed.
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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".