Evidence map›Paper›PMID 42560585›Full record

ArticleVeterinary research communications2026

Real-time PCR-based detection of Mycoplasma agalactiae in sheep bulk tank milk to support flock-level epidemiology.

Carla Cacciotto, Tania Carta, Franca Mannu, Rosanna Zobba, Emanuela Bazzoni, Ignazio Ibba, Danilo Muggianu, Francesco Turrini, Marco Pittau, Vincenzo Carcangiu and 1 more

Abstract read
In one paragraph

Article in Veterinary research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Carla CacciottoDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, 07100, Italy. ccacciotto@uniss.it.
Tania CartaDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, 07100, Italy.
Franca MannuNurex, S.r.l, Sassari, 07100, Italy.
Rosanna ZobbaDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, 07100, Italy.
Emanuela BazzoniDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, 07100, Italy.
Ignazio IbbaLaoreSardegna, Cagliari, 09123, Italy.
Danilo MuggianuLaoreSardegna, Cagliari, 09123, Italy.
Francesco TurriniNurex, S.r.l, Sassari, 07100, Italy.
Marco PittauDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, 07100, Italy.
Vincenzo CarcangiuDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, 07100, Italy.
Alberto AlbertiDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, 07100, Italy. alberti@uniss.it.ORCID http://orcid.org/0000-0002-1708-9473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents the development and large-scale field application of a real-time PCR assay designed for the detection of Mycoplasma agalactiae in bulk tank milk from dairy sheep farms. The assay demonstrated high analytical specificity and sensitivity, enabling reliable identification of low levels of target DNA typically present in bulk milk samples. Following analytical validation, the test was used to estimate within-herd prevalence and was applied in a regional surveillance program encompassing more than 900 sheep farms across Sardinia, Italy. The findings reveal widespread but often low-prevalence circulation of M. agalactiae within Sardinian flocks. The real-time PCR assay proved effective for identifying infected herds through a non-invasive, cost-efficient sampling matrix, underscoring its value as a practical tool for early detection and herd-level surveillance. This approach provides a scalable framework for monitoring contagious agalactia in areas with high densities of small-ruminant farms and supports the establishment of sustainable milk-based surveillance systems.

Indexed as

MilkMycoplasma agalactiaeMycoplasma InfectionsReal-Time Polymerase Chain ReactionSheep DiseasesAnimalsDairyingFemaleItalyPrevalenceSensitivity and SpecificitySheepMilk-based monitoringMolecular diagnosticsSheep dairy farmsWithin-herd prevalence

Identifiers

PMID42560585
PMCPMC13447348

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.