Structural models predict a significantly higher binding affinity between the NblA protein of cyanophage Ma-LMM01 and the phycocyanin of <i>Microcystis aeruginosa</i> NIES-298 compared to the host homolog
Bibliographic record
Abstract
Abstract Horizontal gene transfer events between viruses and hosts are widespread across the virosphere. In cyanophage-host systems, such events often involve the transfer of genes involved in photosynthetic processes. The genome of the lytic cyanophage Ma-LMM01 infecting the toxic, bloom-forming, freshwater Microcystis aeruginosa NIES-298 contains a homolog of the non-bleaching A (nblA) gene, which was probably transferred from a cyanobacterial host. The function of the NblA protein is to disassemble phycobilisomes, cyanobacterial light harvesting complexes that can comprise up to half of the cellular soluble protein content. NblA thus plays an essential dual role in cyanobacteria: it protects the cell from high light intensities and increases the intracellular nitrogen pool under nutrient limitation. NblA has previously been shown to interact with phycocyanin, one of the main components of phycobilisomes. Using structural modeling and protein-protein docking, we show that the NblA dimer of Ma-LMM01 is predicted to have a significantly higher binding affinity for M. aeruginosa NIES-298 phycocyanin (αβ)6 hexamers, compared to the host homolog. Protein-protein docking suggests that the viral NblA structural model is able to bind deeper into the phycocyanin groove. The main structural difference between the virus and host NblA appears to be an additional α-helix near the N-terminus of the viral NblA, which interacts with the inside of the phycocyanin groove and could thus be considered partly responsible for this deeper binding. Interestingly, phylogenetic analyses indicate that this longer nblA was probably acquired from a different Microcystis host. Based on infection experiments and previous findings, we propose that a higher binding affinity of the viral NblA to the host phycocyanin may represent a selective advantage for the virus, whose infection cycle requires an increased phycobilisome degradation rate that is not fulfilled by the NblA of the host.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".