Differential visible spectral influence on carbon metabolism in heterotrophic marine flavobacteria
Bibliographic record
Abstract
The visible spectrum of solar radiation is known to stimulate photoheterotrophic bacterial carbon metabolism. However, its impact on 'strictly' heterotrophic bacteria remains less explored. Here, we show that heterotrophic flavobacteria exhibit enhanced uptake and mineralization of dissolved organic carbon with increasing wavelengths of visible light, without employing any 'known' light-harvesting mechanisms. RNA sequencing identified blue light as a major constraint in the extracellular enzymatic hydrolysis of polymeric carbohydrates and acquisition of sugars, despite acting as a stimulus for inorganic carbon sequestration. In contrast, green-red and continuous full-spectrum lights activated diverse hydrolytic enzymes and sugar transporters, but obstructed inorganic carbon fixation. This 'metabolic switching' was apparent through limited nutrient uptake, suppressed light-sensitivity, oxidative stress response and promotion of inorganic carbon sequestration pathways under blue light. The visible light impact on metabolism may be of significant ecological relevance as it appears to promote cell-mediated mineralization of organic carbon in 'green-colored' chlorophyll-rich copiotrophic coastal seawater and inorganic carbon sequestration in 'blue-colored' oligotrophic open ocean. Thus, a novel regulatory role played by light on heterotrophic metabolism and a hidden potential of flavobacteria to sense and respond differentially to monochromatic lights influencing marine carbon cycling were unraveled.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".