Evolution of New Hormone Function: Loss and Gain of a Receptor
Why this work is in the frame
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Bibliographic record
Abstract
The vertebrate proglucagon gene encodes three glucagon-like sequences (glucagon, glucagon-like peptide-1 [GLP-1], and glucagon-like peptide 2 [GLP-2]) that have distinct functions in regulating metabolism in mammals. In contrast, glucagon and GLP-1 have similar physiological actions in fish, that of mammalian glucagon. We have identified sequences similar to receptors for proglucagon-derived peptides from the genomes of two fish (pufferfish and zebrafish), a frog (Xenopus tropicalis), and a bird (chicken). Phylogenetic analysis of the receptor sequences suggested an explanation for the divergent function of GLP-1 in fish and mammals. The phylogeny of our predicted and characterized receptors for proglucagon-derived peptides demonstrate that receptors for glucagon, GLP-1, and GLP-2 have an origin before the divergence of fish and mammals; however, fish have lost the gene encoding the GLP-1 class of receptors, and likely the incretin action of GLP-1. Receptors that bind GLP-1, but yield glucagon-like action, have been characterized in goldfish and zebrafish, and these sequences are most closely related to glucagon receptors. Both pufferfish and zebrafish have a second glucagon receptor-like gene that is most closely related to the characterized goldfish glucagon receptor. The phylogeny of glucagon receptor-like genes in fish indicates that a duplication of the glucagon receptor gene occurred on the ancestral fish lineage, and could explain the shared action of glucagon and GLP-1. We suggest that the binding specificity of one of the duplicated glucagon receptors has diverged, yielding receptors for GLP-1 and glucagon, but that ancestral downstream signaling has been maintained, resulting in both receptors retaining glucagon-stimulated downstream effects.
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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 | 0.000 |
| 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 it