Cyanobacterial gardens: the liverwort <i>Frullania asagrayana</i> acts as a reservoir of lichen photobionts
Bibliographic record
Abstract
Cyanobacteria are important mediators of unrelated lichen species, which form epiphytic communities that share the same cyanobiont. No study to date, however, has considered the role of cyanobacteria as mediator between lichens and bryophytes. In the present study, DNA barcoding (16S rDNA, rbcLX) was used to identify filamentous cyanobacteria living in close association with members of an epiphytic liverwort-lichen community on balsam fir in Newfoundland. This study is the first to confirm the presence of Rhizonema strains in boreal forests where they are associated with the liverwort Frullania asagrayana and several lichen species. The majority of cyanobacterial haplotypes can associate with the liverwort, however, some lichen species appear to be more selective for single or closely related haplotypes. Some Rhizonema strains were found exclusively in association with boreal lichens, while others seem to be globally distributed and involved in different lichen symbioses of unrelated fungal lineages and of varying ecological traits. Complex biological interactions in a cyanobacteria-mediated guild are proposed here, which explains composition and dynamics in bryophyte and lichen-dominated epiphytic communities.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".