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Proposal to transfer ‘ <i>Aegyptianella ranarum</i> ’, an intracellular bacterium of frog red blood cells, to the family Flavobacteriaceae as ‘ <i>Candidatus</i> Hemobacterium ranarum’ comb. nov.

2004· article· en· W2014650049 on OpenAlexaboutno aff
Chunbin Zhang, Yasuko Rikihisa

Bibliographic record

VenueEnvironmental Microbiology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInfections and bacterial resistance
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyCandidatusIntracellular parasiteBacteriaFlavobacteriaceaeIntracellularMicrobiologyBotanyZoologyCell biologyGenetics

Abstract

fetched live from OpenAlex

'Aegyptianella ranarum' (order Rickettsiales), an ultrastructurally defined small, Gram-negative rod, is known to replicate in the red blood cells of frogs. Heretofore, this bacterium has not been characterized genetically. We cloned and sequenced the 16S rRNA (1310 bp) and gyrB (718 bp) genes of 'A. ranarum' from a Canadian frog blood specimen. In situ hybridization (with an 'A. ranarum' 16S rRNA gene polymerase chain reaction product as probe) and electron microscopy confirmed that 'A. ranarum' forms cytoplasmic inclusions in frog erythrocytes. blast comparisons with GenBank 16S rRNA and gyrB sequences showed that both 'A. ranarum' genes were most similar (91% and 67% identity) to those of Chryseobacterium meningosepticum, a bacterium in the family Flavobacteriaceae. In contrast, 'A. ranarum' 16S rRNA shared only 61% identity with Aegyptianella pullorum. Phylogenetic analyses of these genes using phylip supported 'A. ranarum' as a member of Flavobacteriaceae, but suggested that its cladistic sibling may be Bergeyella zoohelcum or Weeksella virosa, rather than C. meningosepticum. We propose to classify 'Aegyptianella ranarum' as 'Candidatus Hemobacterium ranarum' in the family Flavobacteriaceae. Our results provide a starting point for studies of related intraerythrocytic bacterial infections in frogs.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.003
GPT teacher head0.179
Teacher spread0.177 · 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.

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

Citations15
Published2004
Admission routes1
Has abstractyes

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