Evidence map›Paper›PMID 28926595›Full record

ArticlePloS one2017

The microbiota of water buffalo milk during mastitis.

Carlotta Catozzi, Armand Sanchez Bonastre, Olga Francino, Cristina Lecchi, Esterina De Carlo, Domenico Vecchio, Alessandra Martucciello, Pasquale Fraulo, Valerio Bronzo, Anna Cuscó and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Effect of addingFrontiers in microbiology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

12 authors at 3 institutions in 2 countries.

Carlotta CatozziDipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via Celoria 10, Milano, Italy.
Armand Sanchez BonastreMolecular Genetics Veterinary Service (SVGM), Veterinary School, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
Olga FrancinoMolecular Genetics Veterinary Service (SVGM), Veterinary School, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
Cristina LecchiDipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via Celoria 10, Milano, Italy.
Esterina De CarloIstituto Zooprofilattico Sperimentale del Mezzogiorno, National Reference Centre for Hygiene and Technologies of Water Buffalo Farming and Productions, Via delle Calabrie, Salerno, Italy.
Domenico VecchioIstituto Zooprofilattico Sperimentale del Mezzogiorno, National Reference Centre for Hygiene and Technologies of Water Buffalo Farming and Productions, Via delle Calabrie, Salerno, Italy.
Alessandra MartuccielloIstituto Zooprofilattico Sperimentale del Mezzogiorno, National Reference Centre for Hygiene and Technologies of Water Buffalo Farming and Productions, Via delle Calabrie, Salerno, Italy.
Pasquale FrauloIstituto Zooprofilattico Sperimentale del Mezzogiorno, National Reference Centre for Hygiene and Technologies of Water Buffalo Farming and Productions, Via delle Calabrie, Salerno, Italy.
Valerio BronzoDipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via Celoria 10, Milano, Italy.
Anna CuscóVetgenomics. Ed Eureka. PRUAB. Campus UAB, Bellaterra, Barcelona, Spain.
Sara D'AndreanoVetgenomics. Ed Eureka. PRUAB. Campus UAB, Bellaterra, Barcelona, Spain.
Fabrizio CecilianiDipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via Celoria 10, Milano, Italy.ORCID http://orcid.org/0000-0002-9199-5757
Istituto Zooprofilattico Sperimentale del Mezzogiorno · ITUniversity of Milan · ITUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to define the microbiota of water buffalo milk during sub-clinical and clinical mastitis, as compared to healthy status, by using high-throughput sequencing of the 16S rRNA gene. A total of 137 quarter samples were included in the experimental design: 27 samples derived from healthy, culture negative quarters, with a Somatic Cell Count (SCC) of less than 200,000 cells/ml; 27 samples from quarters with clinical mastitis; 83 samples were collected from quarters with subclinical mastitis, with a SCC number greater of 200,000 cells/ml and/or culture positive for udder pathogens, without clinical signs of mastitis. Bacterial DNA was purified and the 16S rRNA genes were individually amplified and sequenced. Significant differences were found in milk samples from healthy quarters and those with sub-clinical and clinical mastitis. The microbiota diversity of milk from healthy quarters was richer as compared to samples with sub-clinical mastitis, whose microbiota diversity was in turn richer as compared to those from clinical mastitis. The core microbiota of water buffalo milk, defined as the asset of microorganisms shared by all healthy milk samples, includes 15 genera, namely Micrococcus, Propionibacterium, 5-7N15, Solibacillus, Staphylococcus, Aerococcus, Facklamia, Trichococcus, Turicibacter, 02d06, SMB53, Clostridium, Acinetobacter, Psychrobacter and Pseudomonas. Only two genera (Acinetobacter and Pseudomonas) were present in all the samples from sub-clinical mastitis, and no genus was shared across all in clinical mastitis milk samples. The presence of mastitis was found to be related to the change in the relative abundance of genera, such as Psychrobacter, whose relative abundance decreased from 16.26% in the milk samples from healthy quarters to 3.2% in clinical mastitis. Other genera, such as SMB53 and Solibacillus, were decreased as well. Discriminant analysis presents the evidence that the microbial community of healthy and clinical mastitis could be discriminated on the background of their microbiota profiles.

Indexed as

MicrobiotaAnimalsBacteriaBuffaloesDiscriminant AnalysisDNA, BacterialFemaleHigh-Throughput Nucleotide SequencingMastitisMilkRNA, Ribosomal, 16SSequence Analysis, DNAStem CellsDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID28926595
PMCPMC5604978
OpenAlexW2754227850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.