CARBOHYDRATE, LIPID AND PROTEIN PROFILE IN CATOPSILIA PYRANTHE TREATED WITH VARIOUS CONCENTRATIONS OF SUGARS AND NECTARS
Bibliographic record
Abstract
In order of Lepidoptera, butterflies are the most aesthetic insects which adds beauty to our ecosystem as well as they are the pollinators. Anthropogenic activities are hindering their survival and thus it is the time to conserve them to maintain biodiversity. Nectars are the rewards for such pollinators and their good variety can be able to maintain their coexistence. Sugar concentration in nectars varies and directly affects its mortality, fecundity and physiological, behavioral changes. The present study focuses on the physiological changes of butterflies after treating them with four different concentrations of sucrose (10 %, 20 %, 30 % and 40 %) and four different nectars on which (Catopsilia pyranthe) mottled emigrants generally feed on the field. Also the wild butterflies were collected and were compared with the control, sucrose concentrations and four varieties of nectar diets. Sucrose is selected for the treatment as it is available in nectar at higher amounts. The best results of total carbohydrates in males (0.581 ± 0.059 mg/ml) as well as females (0.509 ± 0.137 mg/ml) were recorded in Vinca rosea treated individuals, glycogen in 40 % sucrose treatments in both male (0.580 ± 0.075 mg/ml) and female (0.614 ± 0.0304 mg/ml), total lipids again in 40 % sucrose treatments in both male (0.850 ± 0.431 mg/ml) and female (0.726 ± 0.1106 mg/ml) and total proteins in wild (1.985 ± 1.782 mg/ml) in male and in 40 % sucrose (1.681 ± 0.111 mg/ml) in female individuals. In SDS PAGE, the highest number of bands of different molecular weights observed in males are Lantana camara, Vinca rosea, Stachytarpheta cayennensis treated and Wild butterflies while in female individuals, it is in Vinca rosea treated and Wild butterflies. The study also presents the 3D structures with the help of peptide search by Uniprot and homology modeling with the help of Swissprot. It is an attempt to represent the variety of physiological changes that occur due to the different concentration of sugars so it can help for further maintenance of nectar plants and ultimately to maintain our ecosystem by conserving pollinators.
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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 | 0.001 |
| 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".