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Record W4402301791 · doi:10.1371/journal.pone.0305412

Molecular surveillance based on anaplasmosis in domestic small ruminants: First report on zoonotic Anaplasma capra and phylogenetic insights from Faisalabad, Pakistan

2024· article· en· W4402301791 on OpenAlexaff
Muhammad Abdul Razzaq, Farhan Ahmad Atif, Rao Zahid Abbas, Mughees Aizaz Alvi, Ayman A. Swelum, Zia ud Din Sindhu, Muhammad Kamran Khan, Muhammad Adnan Sabir Mughal, Adil Khan, Wen-Feng Wu

Bibliographic record

VenuePLoS ONE · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsMount Allison University
FundersHigher Education Commision, PakistanHigher Education Commission, PakistanKing Saud University
KeywordsAnaplasmaAnaplasmosisVeterinary medicineBiologyPhylogenetic treeTickVirologyMedicineGeneGenetics

Abstract

fetched live from OpenAlex

Anaplasma is an intracellular alphaproteobacteria that infects diverse blood cell types in animal hosts including small ruminants. Epidemiological and risk factors information on zoonotic anaplasmosis with respect to anaplasmosis in sheep and goats are scarce. Therefore, the objective of the current study was to estimate the prevalence, risk factors of anaplasmosis and phylogenetic investigation of A. capra in sheep and goats from Faisalabad district, Pakistan. Briefly, 384 blood samples were randomly collected from sheep and goats of Faisalabad district, Pakistan, during January to May 2022. The samples were processed for the detection of Anaplasma targeting 16S rRNA gene using PCR. The data regarding disease determinants were collected using a predesigned questionnaire. Out of 384 samples, 131 samples were found positive for Anaplasma spp. with a prevalence rate of 34.11%. The results indicated a significantly higher prevalence of anaplasmosis in goats (41.88%) compared to sheep (22.00%). In addition, the chi square indicated that housing type, tick infestation, gender, tick control practices, age, mix farming, and hygiene were significantly associated with the occurrence of disease. The analysis of multivariate logistic regression expressed gender as the significant risk factor (p = 0.0001, OR = 1.757, CI = 1.305-2.366). The acquired sequences revealed four novel isolates of A. capra (Genbank accession numbers ON834323, ON838209, ON838210, and ON838211). The phylogenetic analysis of the 16S rRNA gene of A. capra revealed three distinct clusters with 99-100% homology with other isolates from different countries. Our isolates showed higher similarity with isolates from China (KM206273, KP314237, MT799937), Pakistan (ON238129, ON238130, ON238131), Angola (MT898988), India (MZ558066), Iran (MW692362), and Turkey (MT632469) isolated from human, sheep, ticks, goats, cattle, Gaddi goat, Persian Onager (Equus hemionus onager), and Turkish goats, respectively. In conclusion, A. capra is endemic in Punjab, Pakistan, there is a need to conduct large scale surveillance studies to assess the status of this pathogen at human-animal interface as well as to develop effective preventive and control strategies to reduce the economic losses associated with anaplasmosis in small ruminants.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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".

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Citations3
Published2024
Admission routes1
Has abstractyes

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