Molecular Epidemiology and Phylogeny of <i>Theileria ovis</i> and <i>Theileria lestoquardi</i> in Sheep and Goats from Southern Punjab, Pakistan
Bibliographic record
Abstract
Background: Theileria spp. are responsible for ovine and caprine theileriosis, leading to significant morbidity and mortality in small ruminants. The present study aims to investigate Theileria spp. infections in small ruminants from Southern Punjab in Pakistan, and genetic characterize revealed Theileria spp. isolates. Methods: A total of 93 sheep and 107 goats were sampled between May and August 2022. Blood smears were examined microscopically, and PCR amplification targeting the 18S rRNA gene was performed to detect Theileria spp. Additionally, specific PCR assays targeting 18S rRNA and ms1 partial sequences were used to identify Theileria ovis and T. lestoquardi , respectively. Results: The prevalence of Theileria spp. was significantly higher using PCR (13.5%) compared to microscopic screening (5%). Sheep showed a higher prevalence rate (19.4%) compared to goats (8.4%) ( p = 0.024). Young sheep aged ≤ 1 year were more commonly infected with Theileria spp. (41%) compared to older sheep ( p = 0.006). The prevalence of Theileria spp. was higher in sheep-only herds (37.3%) compared to goat-only herds (18%) or mixed-species herds (8.1%) ( p = 0.015). The prevalence rates of T. ovis and T. lestoquardi were 9% and 2.5%, respectively, with four animals (2 goats and 2 sheep) showing co-infection. Phylogenetic analysis revealed that our T. ovis 18S rRNA sequence clustered with previously reported sequences from sheep in Turkey, China, Spain, and goats in Tanzania. The obtained T. lestoquardi ms1 partial sequence formed a distinct cluster from other T. lestoquardi isolates in Pakistan and neighboring countries. Conclusion: Theileria spp. co-circulation in Pakistani small ruminants, particularly the presence of T. ovis and T. lestoquardi , highlights the need for attention from animal health decision-makers due to their financial and health impacts.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".