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Record W4296782840 · doi:10.1139/cjz-2022-0080

Morphological and molecular characterization of the ciliate parasite <i>Tetrahymena rostrata</i> infecting the renal organ of the dusky slug (<i>Arion fuscus</i>)

2022· article· en· W4296782840 on OpenAlexvenueno aff
Tengyue Zhang, Peter Vďačný

Bibliographic record

VenueCanadian Journal of Zoology · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMollusks and Parasites Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyZoologyCiliateParasite hostingCytochrome c oxidase subunit IPhylogeneticsEcologyGeneGenetics

Abstract

fetched live from OpenAlex

The histophagous ciliate Tetrahymena rostrata (Kahl, 1926) is a facultative parasite of the renal organ of land snails and slugs. The possibility of transovum transmission and the lack of heteroparental sex make T. rostrata an interesting model for studying host specificity and distribution patterns in pathogenic ciliates. We recorded mass Tetrahymena infection in the dusky slug ( Arion fuscus (O.F. Müller, 1774)) collected in Slovakia, Central Europe. Based on the mitochondrial 16S rRNA gene and barcoding cytochrome c oxidase subunit I (COI) sequences, Slovak isolates belong to the TRO-1 subgroup. Strains of T. rostrata, however, do not cluster according to the relatedness of their gastropod hosts, i.e., various phylogenetically unrelated snails and slugs are parasitized by members of both T. rostrata subclades (TRO-1 and TRAUS). Invasion of adult gastropods through the integumentary pouch might be thus a more important transmission way than the transovum route. Geographic distances of T. rostrata isolates are not correlated with divergences in COI sequences. The absence of a clear relationship between genetic and geographic distances might have been, however, also caused by the human-mediated transmission of invasive gastropods.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.181
Teacher spread0.171 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2022
Admission routes1
Has abstractyes

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