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Record W2096152106 · doi:10.1645/ge-1041.1

PHYLOGENETIC ANALYSIS OF HEPATOZOON SPECIES (APICOMPLEXA: ADELEORINA) INFECTING FROGS OF NOVA SCOTIA, CANADA, DETERMINED BY ITS-1 SEQUENCES

2007· article· en· W2096152106 on OpenAlexaffabout
Bryant Boulianne, Rodger C. Evans

Bibliographic record

VenueJournal of Parasitology · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsAcadia University
Fundersnot available
KeywordsBiologyHepatozoonPhylogenetic treeMonophylyZoologyPhylogeneticsApicomplexaNova scotiaCladeInternal transcribed spacerEcologyGeneticsGene

Abstract

fetched live from OpenAlex

Species of Hepatozoon are apicomplexan parasites infecting tetrapod vertebrates and hematophagous arthropods. Two species, Hepatozoon catesbianae and Hepatozoon clamatae, have been described inhabiting the erythrocytes of bullfrogs and green frogs. A number of characteristics typically used to distinguish between members of this genus are shared between these 2 species, prompting speculation as to whether or not these organisms are in fact distinct species. To test the species distinction, bullfrogs and green frogs were captured at various sites across Nova Scotia, blood samples were collected, and DNA was extracted from samples containing parasites. The internal transcribed spacer 1 (ITS-1) from geographically diverse samples of both species was amplified by PCR, sequenced, and analyzed. ITS-1 sequences from the 2 species revealed single-nucleotide polymorphisms at 6 sites. Phylogenetic analysis of these molecular data and cytopathological features place isolates of each species in separate monophyletic groups. Comparison of the ITS-1 sequences between isolates from Nova Scotia and Ontario revealed that ITS-1 sequences of H. catesbianae from a previous study were mischaracterized as being those of H. clamatae. Phylogenetic data based on molecular variation and cytopathological features from this study provide the strongest evidence to date supporting the distinction between these 2 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)0.001
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 score0.404
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.018
GPT teacher head0.287
Teacher spread0.270 · 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

Citations31
Published2007
Admission routes2
Has abstractyes

Explore more

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