Unraveling the complexity of the tyrosinase(s) involved in the blue mussel adhesive system
Bibliographic record
Abstract
The blue mussel, Mytilus edulis, secretes numerous proteinaceous threads, collectively called byssus, each ending in a plaque that allows adhesion to the substrate. The byssus therefore enables the animal to withstand the hydrodynamic forces of the waves in the intertidal zone. Because it is one of the strongest adhesive secretions among marine invertebrates, mussel adhesion has been studied for several decades. It is well established that the blue mussel has a DOPA-based adhesive system. DOPA (3,4-dihydroxy-L-phenylalanine) is produced by the post-translational hydroxylation of tyrosine residues within the adhesive proteins by tyrosinase enzymes. However, contrary to the adhesive proteins, the enzymes responsible for their modification, the tyrosinases, have been poorly studied. Tyrosinases are oxygen-transferring, copper metalloproteins that catalyze the o-hydroxylation of monophenols (e.g., tyrosine) into o-diphenols (e.g., DOPA) and further oxidize o-diphenols into o-quinones. Our research integrated transcriptomic analyses with mass spectrometry analyses to identify the tyrosinase enzymes potentially involved in DOPA synthesis in the adhesive proteins of the blue mussel. Using this approach, several tyrosinases have been identified. Their roles were subsequently confirmed through their localization via in situ hybridization. To gain deeper insights, one of these enzymes was recombinantly produced, and we evaluated its enzymatic activity by measuring DOPA production in some mussel adhesive proteins. For this purpose, a comparison was made with the well-established mushroom tyrosinase. Our investigation may significantly contribute to advancing the design of innovative DOPA-based adhesive materials.
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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".