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Haemonchus contortus: Conventional and molecular identification and characterization via sequencing-based phylogenetic analysis in sheep

2025· article· en· W4408285773 on OpenAlexaboutno aff

Bibliographic record

VenueAl-Qadisiyah Journal of Veterinary Medicine Sciences · 2025
Typearticle
Languageen
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsnot available
Fundersnot available
KeywordsHaemonchus contortusPhylogenetic treeIdentification (biology)BiologyEvolutionary biologyComputational biologyGeneticsZoologyEcologyGeneHelminths

Abstract

fetched live from OpenAlex

The purpose of this study, conducted from 01-October-2023 to 28-February-2024, was to determine the prevalence and genetic diversity of Haemonchus contortus Infection from sheep in Al-Diwaniyah slaughterhouse, it was carried out to investigate the level of infection at two levels stages; adult's animal, and human, and also helped us to evaluate the genetic similarities between local isolates from Iraq in comparison with other strains of H. contortus from all over the world. In the slaughterhouse in Al-Diwaniyah City, 250 carcasses were sampled. The samples were divided into two tubes, one of them used for microscopic examination by lacto phenol-solution and the other used for molecular tests by using 70% ethanol. Targeting the β-tubulin region by PCR was done, which was followed with the positive PCR-based sequencing. The findings of this study revealed high prevalence of H. contortus infection rate in sheep which leads to parasite transmission among the animals. In addition, a high level of genetic similarities was seen between local isolates from Iraq and strains from Sweden, Canada, Switzerland, the USA, and the Netherland. Overall, this study concludes that the level of infections by H. contortus. High genetic similarities, with world strains, indicating high diversity and common ancestor.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.043
GPT teacher head0.354
Teacher spread0.311 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueAl-Qadisiyah Journal of Veterinary Medicine SciencesSame topicHelminth infection and controlFrench-language works237,207