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Histologic and Genotypic Characterization of a Novel <i>Mycobacterium</i> Species Found in Three Cats

2002· article· en· W1996676954 on OpenAlexaff
Greg D. Appleyard, Edward G. Clark

Bibliographic record

VenueJournal of Clinical Microbiology · 2002
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsShared HealthUniversity of Saskatchewan
Fundersnot available
KeywordsCATSGenotypeMycobacteriumBiologyMicrobiologyMedicineBacteriaGeneticsInternal medicineGene

Abstract

fetched live from OpenAlex

Three cases of feline atypical mycobacteriosis from different geographical regions in North America were characterized by large clusters of filamentous bacteria visible on hematoxylin-and-eosin-stained tissue sections. PCR amplification demonstrated the presence of Mycobacterium-specific nucleic acid in samples of skin lesions from these cases. PCR-assisted cloning and DNA sequence analysis of a 541-bp length of the Mycobacterium 16S rRNA gene generated DNA sequences which were >95% identical, suggesting that the three isolates were closely related. Two of the sequences were 99% identical and may represent the same species. Alignment with comparable 16S rRNA gene sequences from 66 Mycobacterium species and partially characterized isolates highlighted similarities (>94%) with Mycobacterium bohemicum, Mycobacterium haemophilum, Mycobacterium ulcerans, Mycobacterium avium subsp. avium, and isolate IWGMT 90242. Parsimony analysis of sequence data suggested relatedness to M. leprae. Significant molecular genetic and pathobiological differences between these three similar isolates and other known species of mycobacteria suggested that the organisms may not have been described previously and that these cases may represent a new form of mycobacterial disease in cats. We suggest the term "Mycobacterium visibilis" to describe the organism from which the two nearly identical sequences were obtained.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.596
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.119
GPT teacher head0.352
Teacher spread0.233 · 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

Citations50
Published2002
Admission routes1
Has abstractyes

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