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Record W2055627264 · doi:10.1039/c0an00533a

In situ imaging of usnic acid in selected Cladonia spp. by vibrational spectroscopy

2010· article· en· W2055627264 on OpenAlexaff
Catherine R. Liao, Michele D. Piercey‐Normore, John L. Sorensen, Kathleen Gough

Bibliographic record

VenueThe Analyst · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsUniversity of Manitoba
FundersDivision of Materials Research
KeywordsLichenUsnic acidCladoniaBotanyChemistryBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.005
GPT teacher head0.214
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations34
Published2010
Admission routes1
Has abstractyes

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