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Molecular recognition and phylogenetic tree analysis of Cystoisospora canis in stray dogs in Diwaniyah city, Iraq

2025· article· en· W4409276851 on OpenAlexaboutno aff
Noor Idan Jarad, Rana Saleh Al-Difaie

Bibliographic record

Venue˜Al-œmağallaẗ al-ʻirāqiyyaẗ li-l-ʻulūm al-bayṭariyyaẗ/Iraqi journal of veterinary sciences · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsnot available
Fundersnot available
KeywordsPhylogenetic treeTree (set theory)BiologyEvolutionary biologyZoologyVeterinary medicineMedicineMathematicsGeneticsCombinatoricsGene

Abstract

fetched live from OpenAlex

Cystoisospora spp. are Apicomplexa parasites, protozoan parasites with a global prevalence of 1-5% in dogs. The current study aimed at finding out about the presence and molecular features of Cystoisospora among homeless dogs in Al-Diwaniyah province in Iraq. The 200 fecal samples from street dogs from various regions were floated, sedimented and then tested by direct smear. We identified molecularly using PCR from the 18S rRNA gene and sequenced and phylogenetic. A 19% prevalence of Cystoisospora spp. was observed under microscope, the province’s first known case of the parasite. In our infection dogs, the infection rates were higher in females 22.34% than males 16.03%. Younger dogs (puppies) were much more common with prevalence at 38.02%, compared with 8.52% for the older dogs. Cystoisospora DNA was found in 56% (17/30) of the specimens by PCR. Sequence alignment of the 511 bp region of the 18S rRNA gene identified 100% identity with Cystoisospora canis strains already in GenBank from Canada. The strains in locality were identified as Cystoisospora canis by phylogenetic recognition including Unweighted Pair Group Method with Arithmetic Mean (UPGMA). The molecular phylogenetic data from this research on Cystoisospora canis in Iraqi street dogs represents the first such molecular phylogenetic data on this parasite in Iraq and adds to the epidemiology of this parasite in Iraq.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
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 head0.048
GPT teacher head0.328
Teacher spread0.280 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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Same venue˜Al-œmağallaẗ al-ʻirāqiyyaẗ li-l-ʻulūm al-bayṭariyyaẗ/Iraqi journal of veterinary sciencesSame topicIdentification and Quantification in FoodFrench-language works237,207