Molecular and Neural Circuit Mechanisms Underlying Sexual Experience-dependent Long-Term Memory in Drosophila.
Bibliographic record
Abstract
The neural and molecular underpinnings of sexual experience-dependent long-term memory (SELTM) in male Drosophila melanogaster remain poorly understood, despite its significance for reproductive success. Here, we dissect the role of a specific class of neurons, termed 'Yuelao' (YL) neurons, in the formation of SELTM and the associated molecular pathways. We employed a combination of genetic manipulations, immunohistochemistry, and behavioral assays in Drosophila to investigate the function of YL neurons and their molecular interactors in SELTM. Utilizing the RNA sequencing data and transgenic tools, we delineated the neural circuits involved in taste and pheromone processing relevant to SELTM. Our findings reveal that the YL neurons, expressing the Orb2 scaffolding protein, are indispensable for the formation of SELTM following sexual experience. These neurons are regulated by the neuromodulator short neuropeptide F (sNPF) and its receptor (sNPF-R), which modulate glutamate release via NMDAR2. We demonstrate that sexual experience triggers synaptic plasticity in YL neurons, characterized by an increase in dendritic and presynaptic terminal areas, and a decrease in intracellular calcium levels. Furthermore, we show that YL neurons are specialized for the generation of appetitive sexual experience-dependent memory and project to brain regions implicated in memory formation. Our study uncovers the YL neurons as a key neural substrate for SELTM in Drosophila, shedding light on the molecular and circuit mechanisms that mediate the formation of long-term memories following sexual experience. These findings provide novel insights into the neural basis of taste-related memory and have broader implications for understanding the interplay between experience, memory formation, and behavior.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".