Evidence map›Paper›PMID 26325586›Full record

ArticlePloS one2015

Molecular Epidemiology of Brucella abortus in Northern Ireland-1991 to 2012.

Adrian Allen, Eleanor Breadon, Andrew Byrne, Thomas Mallon, Robin Skuce, Pauline Groussaud, Amanda Dainty, Judith Graham, Kerri Jones, Lorraine Pollock and 1 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Bovine brucellosis - a comprehensive review.The veterinary quarterly · 2021
    Review
  3. International journal of molecular sciences · 2020
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Molecular Investigation of the Transmission Pattern ofFrontiers in veterinary science · 2018
    Article
  9. Article
  10. MLVA Genotyping Characteristics of HumanFrontiers in microbiology · 2017
    Article
  11. 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

11 authors.

Adrian AllenAgri-Food and Biosciences Institute (AFBI), AFBI Stormont, Belfast, United Kingdom.
Eleanor BreadonAgri-Food and Biosciences Institute (AFBI), AFBI Stormont, Belfast, United Kingdom.
Andrew ByrneAgri-Food and Biosciences Institute (AFBI), AFBI Stormont, Belfast, United Kingdom.
Thomas MallonAgri-Food and Biosciences Institute (AFBI), AFBI Stormont, Belfast, United Kingdom.
Robin SkuceAgri-Food and Biosciences Institute (AFBI), AFBI Stormont, Belfast, United Kingdom; School of Biological Sciences, Queens University, Belfast, United Kingdom.
Pauline GroussaudOIE/WHO/FAO Reference Laboratory for Brucellosis, Department of Bacteriology, Animal and Plant Health Agency (APHA), New Haw, Addlestone, Surrey, United Kingdom.
Amanda DaintyOIE/WHO/FAO Reference Laboratory for Brucellosis, Department of Bacteriology, Animal and Plant Health Agency (APHA), New Haw, Addlestone, Surrey, United Kingdom.
Judith GrahamDepartment of Agriculture and Rural Development, Veterinary Service, Belfast, Northern Ireland.
Kerri JonesAgri-Food and Biosciences Institute (AFBI), AFBI Stormont, Belfast, United Kingdom.
Lorraine PollockAgri-Food and Biosciences Institute (AFBI), AFBI Stormont, Belfast, United Kingdom.
Adrian WhatmoreOIE/WHO/FAO Reference Laboratory for Brucellosis, Department of Bacteriology, Animal and Plant Health Agency (APHA), New Haw, Addlestone, Surrey, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrucellosis is the most common bacterial zoonoses worldwide. Bovine brucellosis caused by Brucella abortus has far reaching animal health and economic impacts at both the local and national levels. Alongside traditional veterinary epidemiology, the use of molecular typing has recently been applied to inform on bacterial population structure and identify epidemiologically-linked cases of infection. Multi-locus variable number tandem repeat VNTR analysis (MLVA) was used to investigate the molecular epidemiology of a well-characterised Brucella abortus epidemic in Northern Ireland involving 387 herds between 1991 and 2012.

resultsMLVA identified 98 unique B. abortus genotypes from disclosing isolates in the 387 herds involved in the epidemic. Clustering algorithms revealed the relatedness of many of these genotypes. Combined with epidemiological information on chronology of infection and geographic location, these genotype data helped to identify 7 clonal complexes which underpinned the outbreak over the defined period. Hyper-variability of some VNTR loci both within herds and individual animals led to detection of multiple genotypes associated with single outbreaks. However with dense sampling, these genotypes could still be associated with specific clonal complexes thereby permitting inference of epidemiological links. MLVA- based epidemiological monitoring data were congruent with an independent classical veterinary epidemiology study carried out in the same territory.

conclusionsMLVA is a useful tool in ongoing disease surveillance of B. abortus outbreaks, especially when combined with accurate epidemiological information on disease tracings, geographical clustering of cases and chronology of infection.

Indexed as

AnimalsBrucella abortusBrucellosis, BovineCattleFemaleGenotypeMinisatellite RepeatsMolecular EpidemiologyNorthern IrelandSpatio-Temporal Analysis

Identifiers

PMID26325586
PMCPMC4556700

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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.