Functional Divergence in Teleost Cardiac Troponin Paralogs Guides Variation in the Interaction of TnI Switch Region with TnC
Bibliographic record
Abstract
Gene duplication results in extra copies of genes that must coevolve with their interacting partners in multimeric protein complexes. The cardiac troponin (Tn) complex, containing TnC, TnI, and TnT, forms a distinct functional unit critical for the regulation of cardiac muscle contraction. In teleost fish, the function of the Tn complex is modified by the consequences of differential expression of paralogs in response to environmental thermal challenges. In this article, we focus on the interaction between TnI and TnC, coded for by genes that have independent evolutionary origins, but the co-operation of their protein products has necessitated coevolution. In this study, we characterize functional divergence of TnC and TnI paralogs, specifically the interrelated roles of regulatory subfunctionalization and structural subfunctionalization. We determined that differential paralog transcript expression in response to temperature acclimation results in three combinations of TnC and TnI in the zebrafish heart: TnC1a/TnI1.1, TnC1b/TnI1.1, and TnC1a/TnI1.5. Phylogenetic analysis of these highly conserved proteins identified functionally divergent residues in TnI and TnC. The structural and functional effect of these Tn combinations was modeled with molecular dynamics simulation to link divergent sites to changes in interaction strength. Functional divergence in TnI and TnC were not limited to the residues involved with TnC/TnI switch interaction, which emphasizes the complex nature of Tn function. Patterns in domain-specific divergent selection and interaction energies suggest that substitutions in the TnI switch region are crucial to modifying TnI/TnC function to maintain cardiac contraction with temperature changes. This integrative approach introduces Tn as a model of functional divergence that guides the coevolution of interacting proteins.
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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 | 0.000 |
| 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 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".