In situ imaging of usnic acid in selected Cladonia spp. by vibrational spectroscopy
Bibliographic record
Abstract
In this study, we demonstrate the first in situ detection of usnic acid (UA) in selected species of the lichen Cladonia, using FPA-FTIR imaging and Raman microscopy. Fruticose lichens present a variety of defensive mechanisms, one of which is the production of UA. This polyketide secondary metabolite, produced by certain lichenized fungi, has a protective function for the lichen that includes a strong absorption in the ultraviolet range. Upon confirming the distinct spectral signature of UA in lichen tissue, we mapped its distribution in Cladonia arbuscula, Cladonia uncialis and Cladonia sulphurina tissues. Spectroscopic images were obtained from cryosectioned lichen fragments embedded in media and from hand-sectioned fragments that were media-free. UA was present in the pycnidia, and younger walls of C. arbuscula and C. uncialis, the spore-producing region of a C. uncialis apothecium, and in both the younger and older soredia of C. sulphurina. The localization of UA in lichens is an important precursor to future work that includes the identification of the gene cluster responsible for its biosynthesis. Our results show that FTIR and Raman imaging can be an effective way to study the distribution of natural products in lichens with micron-scale precision.
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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 | 0.000 | 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) | 0.001 | 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 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".