Systematic evaluation and optimization of TaqMan qPCR assays targeting F <i>57</i> , ISMAP <i>02</i> , and IS <i>900</i> for multiplex detection of <i>Mycobacterium avium</i> subsp. <i>paratuberculosis</i>
Notice bibliographique
Résumé
ABSTRACT This study aimed to develop a multiplex quantitative PCR (qPCR) assay for the detection of Mycobacterium avium subsp. paratuberculosis (MAP), the etiological agent of paratuberculosis disease, a chronic and endemic infectious disease affecting ruminant livestock worldwide. Infected animals may remain asymptomatic for years while intermittently shedding MAP into their environment through feces, contributing to ongoing transmission. To develop a robust multiplex qPCR assay, we reviewed all TaqMan qPCR studies published since 1990 and selected 18 primer-probe combinations targeting the MAP-specific F 57 gene and the repetitive sequence elements ISMAP 02 and IS 900 . In samples with moderate to high MAP levels, all combinations performed well, with only minor differences in analytical performance. However, in low-abundance samples, several TaqMan designs yielded unreliable results, indicating limited specificity in complex matrices. Among the evaluated assays, the IS 900 -Herthnek design demonstrated significantly higher diagnostic sensitivity, detecting MAP in 81% of low-abundance samples, compared to 0% and 3% for the IS 900 -Kim and IS 900 -Slana assays, respectively. For ISMAP 02 , only the ISMAP 02 -Sevilla assay produced reliable results. For F 57 , Herthnek provided the most consistent and accurate quantification. Similar trends were observed in environmental sample testing. Based on these findings, we recommend a multiplex qPCR assay incorporating the IS 900 -Herthnek, ISMAP 02 -Sevilla, and F 57 -Herthnek TaqMan designs for the detection of MAP in fecal and environmental samples. This combination offers high analytical sensitivity and specificity, making it a valuable and accurate tool for the diagnosis of paratuberculosis and for environmental surveillance on dairy farms to identify herds potentially harboring MAP-infected animals. IMPORTANCE Mycobacterium avium subsp. paratuberculosis (MAP) is the etiological agent of Johne’s disease (JD) in ruminant livestock industries and has been associated with Crohn’s disease in humans. Emerging scientific evidence also links MAP to other human conditions, including inflammatory bowel disease, autoimmune disorders, colorectal cancer, and Alzheimer’s disease. This potential public health threat has intensified interest in developing more sensitive diagnostic tools and effective control strategies to eradicate MAP from dairy herds. Infected ruminants typically remain in the subclinical stage of the disease for 2–5 years, during which they shed MAP in their feces and contaminate the environment. Diagnosis during this stage is particularly challenging, as the pathogen evades the host’s immune response, rendering serological tests insufficiently sensitive. In contrast, fecal PCR offers greater sensitivity than serum ELISA and traditional culture methods. Multiplex quantitative PCR is especially promising due to its high specificity and sensitivity for detecting MAP-infected animals and identifying herds with active shedders. Herd-level environmental screening, followed by individual animal testing, represents a robust national biosecurity strategy. This approach is a critical step toward reducing MAP transmission and improving herd health within the dairy industry.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».