Discrimination of Pheromone Enantiomers by Two Pheromone Binding Proteins from the Gypsy Moth <i>Lymantria</i> <i>dispar</i>
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Bibliographic record
Abstract
The gypsy moth, Lymantria dispar, uses (7R, 8S)-cis-2-methyl-7, 8-epoxyoctadecane, (+)-disparlure, as a sex pheromone. The (-) enantiomer of the pheromone is a strong behavioral antagonist. Specialized sensory hairs, sensillae, on the antennae of male moths detect the pheromone. Once the pheromone enters a sensillum, the very abundant pheromone binding protein (PBP) transports the odorant to the sensory neuron. We have expressed the two PBPs found in gypsy moth antennae, PBP1 and PBP2, and we have studied the affinity of these recombinant PBPs for the enantiomers of disparlure. To study pheromone binding under equilibrium conditions, we developed and validated a binding assay. We have addressed the two major problems with hydrophobic ligands in aqueous solution: (1) concentration-dependent adsorption of the ligand on vial surfaces and (2) separation of the protein-bound ligand from the material remaining free in solution. We used this assay to demonstrate for the first time that pheromone binding to PBP is reversible and that the two PBPs from L. dispar differ in their enantiomer binding preference. PBP1 has a higher affinity for the (-) enantiomer, while PBP2 has a higher affinity for the (+) enantiomer. The PBP from the wild silk moth, Antheraea polyphemus (Apol-3) bound the disparlure enantiomers more weakly than either of the L. dispar PBPs, but Apol-3 was also able to discriminate the enantiomers. We have observed extensive aggregation of both L. dispar PBPs and an increase in pheromone binding at high (>2 microM) PBP concentrations. We present a model of disparlure binding to the two PBPs.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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