Essential and nonessential fatty acid composition and use in overwintering monarch butterflies
Bibliographic record
Abstract
Monarch butterflies (Danaus plexippus) undertake one of the most remarkable long-distance insect migrations, travelling thousands of kilometres to overwinter in the central trans-volcanic belt of Mexico. This study explored how monarch butterflies use essential fatty acids (EFA) and nonessential fatty acids (NFA) during overwintering. We collected 150 (male/female) butterflies from the Sierra Chincua wintering colony from the time of arrival (December 2022) to before departure (February 2023) and analysed their lipid content. Our findings revealed that although females have a higher mass fraction of lipids, male and female monarch butterflies depleted their lipids similarly over time, resulting in low abdominal lipid mass fractions by late February. NFA, including oleic and palmitic acid, were predominantly used for energy during overwintering by male and female butterflies. In contrast, the EFA alpha-linolenic and linoleic acids, critical for reproductive success and cellular functions, were conserved in both sexes. Males began the overwintering period with a higher mass fraction of EFA in the polar components of the head and thorax, which may impact the degree of cold acclimation of these tissues during this period. Strategic lipid utilisation, prioritising the preservation of EFA over NFA and optimizing overwintering survival probably enhance readiness for spring remigration and reproduction. This differential fatty acid use underscores the delicate balance monarch butterflies maintain to survive overwintering and highlights the potential impacts of environmental changes on their lipid dynamics and survival.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".