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Record W4280522918 · doi:10.1038/s41467-022-30218-6

Large differences in carbohydrate degradation and transport potential among lichen fungal symbionts

2022· article· en· W4280522918 on OpenAlexafffund
Philipp Resl, Adina R. Bujold, Gulnara Tagirdzhanova, Peter Meidl, Sandra Freire‐Rallo, Mieko Kono, Samantha Fernández-Brime, Hörður Guðmundsson, Ólafur S. Andrésson, Lucía Muggia, Helmut Mayrhofer, John P. McCutcheon, Mats Wedin, Silke Werth, Lisa M. Willis, Toby Spribille

Bibliographic record

VenueNature Communications · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsUniversity of Alberta
FundersUppsala Multidisciplinary Center for Advanced Computational ScienceDirectorate for Biological SciencesNatural Sciences and Engineering Research Council of CanadaLudwig-Maximilians-Universität MünchenVetenskapsrådetCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaAustrian Science FundCanada Research ChairsSvenska Forskningsrådet FormasDeutsche ForschungsgemeinschaftUniversity of Alberta
KeywordsLichenBiologySymbiosisFungusCladeFungal proteinAscomycotaObligateGeneBotanyPhylogeneticsBacteriaBiochemistryGeneticsSaccharomyces cerevisiae

Abstract

fetched live from OpenAlex

Abstract Lichen symbioses are thought to be stabilized by the transfer of fixed carbon from a photosynthesizing symbiont to a fungus. In other fungal symbioses, carbohydrate subsidies correlate with reductions in plant cell wall-degrading enzymes, but whether this is true of lichen fungal symbionts (LFSs) is unknown. Here, we predict genes encoding carbohydrate-active enzymes (CAZymes) and sugar transporters in 46 genomes from the Lecanoromycetes , the largest extant clade of LFSs. All LFSs possess a robust CAZyme arsenal including enzymes acting on cellulose and hemicellulose, confirmed by experimental assays. However, the number of genes and predicted functions of CAZymes vary widely, with some fungal symbionts possessing arsenals on par with well-known saprotrophic fungi. These results suggest that stable fungal association with a phototroph does not in itself result in fungal CAZyme loss, and lends support to long-standing hypotheses that some lichens may augment fixed CO 2 with carbon from external sources.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.224
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 designObservational
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

Citations51
Published2022
Admission routes2
Has abstractyes

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