Inwardly rectifying potassium channels: Critical insights for insect species and Apis mellifera
Bibliographic record
Abstract
Kir (inwardly rectifying potassium) channels that play key roles in maintaining potassium homeostasis, neuronal excitability, and osmoregulation have been cloned and characterized in a variety of insects. In Drosophila melanogaster, three Kir channels (dKir1 dKir2, and dKir3) have been cloned and characterized, and share significant homology with mammalian Kir channels. The dKir channels are essential for various developmental processes, such as wing patterning, by modulating bone morphogenetic protein signaling pathways. Electrophysiological studies have confirmed that Drosophila Kir channels function in a way analogous to their mammalian counterparts, indicating that their roles in cellular and developmental signaling have been evolutionarily conserved. Several Kir channels have also been identified and characterized in mosquitoes (Aedes aegypti and Anopheles gambiae). Interestingly, insect Kir channel orthologs cluster into three gene “clades” or subfamilies (Kir1, Kir2, Kir3) that are distinct from mammal Kir channels based on sequence comparisons. Insect Kir channel paralogs range from two to eight Kir channel genes per species genome representing separate gene duplication events. These differences may be attributed to distinct physiological adaptations associated with their respective taxonomic groups. The honeybee Apis mellifera genome contains two Kir channel genes, AmKir1 and AmKir2, producing six Kir channel isoforms via alternative splicing, which have been cloned and expressed in heterologous systems to study their electrophysiological properties. This review provides a comprehensive overview of current knowledge about Kir channel structures, activities, and gating as well as of their roles in insects, including evolutionary genomic aspects, molecular biology, physiological roles, and pharmacological targeting.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".