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Record W2107023817 · doi:10.1139/b10-004

Saprobic and parasitic interactions of<i>Coniochaeta velutina</i>with mosses

2010· article· en· W2107023817 on OpenAlexaffvenueabout
Marie L. Davey, A. Tsuneda, Randolph S. Currah

Bibliographic record

VenueBotany · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiologyBotanyAscocarpFungusTaxonomy (biology)

Abstract

fetched live from OpenAlex

During a survey of fungi associated with boreal bryophytes in Alberta, Canada, an isolate of Coniochaeta velutina (Coniochaetaceae, Coniochaetales), an opportunistic tree-pathogen and saprobe, was obtained from Hylocomium splendens (Hedw.) Schimp. (Hylocomiaceae, Hypnales). This isolate exhibited phylogenetic affinities to C. velutina isolated from vascular plants. In vitro characterization of its interactions with the model host Funaria hygrometrica Hedw. (Funariaceae, Funariales) demonstrated that it readily forms both anamorph and teleomorph states on the moss. Infected hosts exhibited no macroscopic symptoms or, occasionally, became weakly chlorotic, suggesting that the fungus is a parasite. However, cellulase and polyphenolic oxidase enzyme production suggest it may also be a latent saprobe. Vegetative hyphae of C. velutina directly penetrated rhizoids and frequently elicited a papilla-formation host response, neither of which have been reported in vascular plants infected with C. velutina. The Lecythophora anamorph of C. velutina was produced within host rhizoids, a new phenomenon among bryophilous fungi. Ascomata were produced superficially on F. hygrometrica, although the rhizoid the ascoma is initiated on frequently becomes embedded in the mature peridium. Given the ability of C. velutina to infect, persist, and reproduce on moss hosts, understory bryophytes may represent an inoculum reservoir that contributes to the disease cycle of C. velutina on tree species.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.335

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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

Citations18
Published2010
Admission routes3
Has abstractyes

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