Evidence map›Paper›PMID 35489013›Full record

ArticleAntonie van Leeuwenhoek2022

A dominant clonal lineage of Streptococcus uberis in cattle in Germany.

Linda Fenske, Irene Noll, Jochen Blom, Christa Ewers, Torsten Semmler, Ahmad Fawzy, Tobias Eisenberg

Abstract read
In one paragraph

Article in Antonie van Leeuwenhoek, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Whole-genome sequencing ofJournal of medical microbiology · 2024
    Article
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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

7 authors.

Linda FenskeHessian State Laboratory, Department of Veterinary Medicine, Giessen, Germany. linda.fenske@computational.bio.uni-giessen.de.
Irene NollRegional Council of Gießen, Wetzlar, Germany.
Jochen BlomBioinformatics and Systems Biology, Justus Liebig University, Giessen, Germany.
Christa EwersInstitute of Hygiene and Infectious Diseases of Animals, Justus Liebig University, Giessen, Germany.
Torsten SemmlerNG1 Microbial Genomics, Robert Koch Institute (RKI), Berlin, Germany.
Ahmad FawzyHessian State Laboratory, Department of Veterinary Medicine, Giessen, Germany.
Tobias EisenbergHessian State Laboratory, Department of Veterinary Medicine, Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine mastitis causes enormous economic losses in the dairy industry with Streptococcus uberis as one of the most common bacterial pathogens causing clinical and subclinical variations. In most cases mastitis can be cured by intramammary administration of antimicrobial agents. However, the severity of the clinical manifestations can vary greatly from mild to severe symtoms. In this study, a comparative genomic analysis of 24 S. uberis isolates from three dairy farms in Germany, affected by different courses of infection was conducted. While there were sporadic mild infections in farm A and B, a large number of infections were observed within a very short period of time in farm C. The comparison of virulence genes, antimicrobial resistance genes and prophage regions revealed no features that might be responsible for this severe course. However, almost all isolates from farm C showed the same, novel MLST profile (ST1373), thus a clonal outbreak cannot be excluded, whereby the actual reason for the particular virulence remains unknown. This study demonstrates the importance of extensive metagenomic studies, including the host genomes and the environment, to gain further evidence on the pathogenicity of S. uberis.

Indexed as

Mastitis, BovineStreptococcal InfectionsAnimalsCattleFemaleMultilocus Sequence TypingStreptococcusBovine mastitisComparative genomicsMultilocus sequence typingProphage regionsResistanceStreptococcus uberisVirulence

Identifiers

PMID35489013
PMCPMC9206625

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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.