Evidence map›Paper›PMID 32967727›Full record

ArticleVeterinary research2020

Phylogenomic analysis of Mycoplasma bovis from Belgian veal, dairy and beef herds.

Jade Bokma, Nick Vereecke, Koen De Bleecker, Jozefien Callens, Stefaan Ribbens, Hans Nauwynck, Freddy Haesebrouck, Sebastiaan Theuns, Filip Boyen, Bart Pardon

Open access · goldAbstract read
In one paragraph

Article in Veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  6. Prevalence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Antimicrobial Susceptibility ofAntibiotics (Basel, Switzerland) · 2020
    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

10 authors at 1 institution in 1 country.

Jade BokmaDepartment of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium. jade.bokma@ugent.be.ORCID http://orcid.org/0000-0002-8854-1041
Nick VereeckeDepartment of Virology, Parasitology and Immunology, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
Koen De BleeckerDGZ (Animal Health Service-Flanders), Industrielaan 29, 8820, Torhout, Belgium.
Jozefien CallensDGZ (Animal Health Service-Flanders), Industrielaan 29, 8820, Torhout, Belgium.
Stefaan RibbensDGZ (Animal Health Service-Flanders), Industrielaan 29, 8820, Torhout, Belgium.
Hans NauwynckDepartment of Virology, Parasitology and Immunology, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
Freddy HaesebrouckDepartment of Pathology, Bacteriology and Avian Diseases, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
Sebastiaan TheunsDepartment of Virology, Parasitology and Immunology, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
Filip BoyenDepartment of Pathology, Bacteriology and Avian Diseases, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
Bart PardonDepartment of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
Ghent University · BE

Funding

FOD Volksgezondheid, Veiligheid van de Voedselketen en Leefmilieu RF17/6312, PigMinIONFOD Volksgezondheid, Veiligheid van de Voedselketen en Leefmilieu RF 17/6313, MALDIRESP/MAFonds Wetenschappelijk Onderzoek Hercules project [G0H2516N, AUGE/15/05]
6 · The paper itself

Abstract

M. bovis is one of the leading causes of respiratory disease and antimicrobial use in cattle. The pathogen is widespread in different cattle industries worldwide, but highest prevalence is found in the veal industry. Knowledge on M. bovis strain distribution over the dairy, beef and veal industries is crucial for the design of effective control and prevention programs, but currently undocumented. Therefore, the present study evaluated the molecular epidemiology and genetic relatedness of M. bovis isolates obtained from Belgian beef, dairy and veal farms, and how these relate to M. bovis strains obtained worldwide. Full genomes of one hundred Belgian M. bovis isolates collected over a 5-year period (2014-2019), obtained from 27 dairy, 38 beef and 29 veal farms, were sequenced by long-read nanopore sequencing. Consensus sequences were used to generate a phylogenetic tree in order to associate genetic clusters with cattle sector, geographical area and year of isolation. The phylogenetic analysis of the Belgian M. bovis isolates resulted in 5 major clusters and 1 outlier. No sector-specific M. bovis clustering was identified. On a world scale, Belgian isolates clustered with Israeli, European and American strains. Different M. bovis clusters circulated for at least 1.5 consecutive years throughout the country, affecting all observed industries. Therefore, the high prevalence in the veal industry is more likely the consequence of frequent purchase from the dairy and beef industry, than that a reservoir of veal specific strains on farm would exist. These results emphasize the importance of biosecurity in M. bovis control and prevention.

Indexed as

Polymorphism, Single NucleotideAnimalsBelgiumCattleMycoplasma bovisPhylogenycattlelong-read nanopore sequencingphylogenetic analysisSNP analysiswhole genome

Identifiers

PMID32967727
PMCPMC7510102
OpenAlexW3087818160

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.