Molecular identification and characterization of waterborne protozoa among stranded Dugong dugon
Bibliographic record
Abstract
The Persian Gulf hosts the second-largest population of Dugongs. The International Union for the Conservation of Nature (IUCN) lists them as Vulnerable to Extinction species. Incidental fishing, vessel strikes, environmental pollution, habitat degradation, and infectious diseases currently threaten these sirenians. While research focused on the abovementioned threats, little is known about pathogen infections, particularly waterborne parasites. The current study aimed to investigate the prevalence of the waterborne parasites, namely Blastocystis , Cryptosporidium , Dientamoeba fragilis , Giardia duodenalis , and Toxoplasma gondii in the Qatar Dugongs population. Hence, twenty-three tissues from stranded Dugongs' carcasses were collected postmortem and subjected to DNA extraction and parasite qPCR screening. Only Blastocystis and Cryptosporidium species were detected in different tissues across the tested animals harboring genotypes ST1 and Cryptosporidium hominis IbA9G3, respectively, with the first-time report of Blastocystis sp. within sirenian hosts. Continuous monitoring should be provided to shed lights about the contamination sources of these endangered species and clarify the zoonotic potential transmission routes between wildlife and humans. • The widespread of parasites and their environmental resistance may lead to their transmission to wild endangered marine fauna. • Only Blastocystis and Cryptospordium have been identified within stranded Dugongs • First time report on Blastocystis sp. from sirenians extending the host range of this protozoan • The Cryptosporidium “Human” genotype, renamed C. hominis harboring IbA9G3 genotype was identified.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".