Central metabolism and development are rewired in lichenized cyanobacteria
Bibliographic record
Abstract
Nostoc cyanobacteria are among the few organisms capable of fixing both carbon and nitrogen. These metabolic features are essential for the cyanolichen symbiosis, where Nostoc supplies both carbon (as glucose) and nitrogen (as ammonium) to a cyanolichen-forming fungal partner. This nutrient flow was established by seminal biochemical studies published in the 20th century. Since then, cyanolichen metabolism has received little attention, and the molecular mechanisms that underlie the physiology of lichenized Nostoc remain mostly unknown. Here, we aimed to elucidate the genomic and transcriptional changes that enable Nostoc's metabolic role in cyanolichens. We used comparative genomics across 243 genomes of Nostoc s. lat. coupled with metatranscriptomic experiments using Peltigera cyanolichens. We found that genes for photoautotrophic carbon fixation are upregulated in lichenized Nostoc. This likely results in a higher rate of carbon fixation that allows Nostoc to provide carbon to the fungal partner while meeting its own metabolic needs. We also found that the transfer of ammonium from Nostoc to the lichen-forming fungus is facilitated by two molecular mechanisms: (i) transcriptional downregulation of glutamine synthetase, the key enzyme responsible for ammonium assimilation in Nostoc; and (ii) frequent losses of a putative high-affinity ammonium permease, which likely reduces Nostoc's capacity to recapture leaked ammonium. Finally, we found that the development of motile hormogonia is downregulated in lichenized Nostoc, which resembles the repression of motility in Nostoc symbionts after they colonize symbiotic cavities of their plant hosts. Our results pave the way for a revival of cyanolichen ecophysiology in the omics era.
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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".