Evidence map›Paper›PMID 30987581›Full record

ArticleBMC microbiology2019

Occurrence and characterisation of biofilms in drinking water systems of broiler houses.

Sharon Maes, Thijs Vackier, Son Nguyen Huu, Marc Heyndrickx, Hans Steenackers, Imca Sampers, Katleen Raes, Alex Verplaetse, Koen De Reu

Abstract read
In one paragraph

Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
–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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Review
  12. Microorganisms · 2025
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  13. Article
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  15. Article
  16. Pathogens (Basel, Switzerland) · 2024
    Article
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  19. Wettability and Bactericidal Properties of Bioinspired ZnO Nanopillar Surfaces.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  20. FightingFrontiers in microbiology · 2024
    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

9 authors.

Sharon MaesFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Technology and Food Science Unit, Brusselsesteenweg 370, 9090, Melle, Belgium.
Thijs VackierFaculty of Engineering Technology, Department of Microbial and Molecular Systems (M2S), Cluster for Bioengineering Technology (CBeT), Laboratory of Enzyme, Fermentation and Brewery Technology, University of Leuven, Gebroeders De Smetstraat 1, 9000, Ghent, Belgium.
Son Nguyen HuuFaculty of Bioscience Engineering, Department of Industrial Biological Sciences, Ghent University Campus Kortrijk, Graaf Karel de Goedelaan 5, 8500, Kortrijk, Belgium.
Marc HeyndrickxFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Technology and Food Science Unit, Brusselsesteenweg 370, 9090, Melle, Belgium.
Hans SteenackersFaculty of Bioscience Engineering, Department of Microbial and Molecular Systems (M2S), Centre of Microbial and Plant Genetics (CMPG), University of Leuven, Kasteelpark Arenberg 20 box 2460, 3001, Leuven, Belgium.
Imca SampersFaculty of Bioscience Engineering, Department of Industrial Biological Sciences, Ghent University Campus Kortrijk, Graaf Karel de Goedelaan 5, 8500, Kortrijk, Belgium.
Katleen RaesFaculty of Bioscience Engineering, Department of Industrial Biological Sciences, Ghent University Campus Kortrijk, Graaf Karel de Goedelaan 5, 8500, Kortrijk, Belgium.
Alex VerplaetseFaculty of Engineering Technology, Department of Microbial and Molecular Systems (M2S), Cluster for Bioengineering Technology (CBeT), Laboratory of Enzyme, Fermentation and Brewery Technology, University of Leuven, Gebroeders De Smetstraat 1, 9000, Ghent, Belgium.
Koen De ReuFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Technology and Food Science Unit, Brusselsesteenweg 370, 9090, Melle, Belgium. koen.dereu@ilvo.vlaanderen.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWater quality in the drinking water system (DWS) plays an important role in the general health and performance of broiler chickens. Conditions in the DWS of broilers are ideal for microbial biofilm formation. Since pathogens might reside within these biofilms, they serve as potential source of waterborne transmission of pathogens to livestock and humans. Knowledge about the presence, importance and composition of biofilms in the DWS of broilers is largely missing. In this study, we therefore aim to monitor the occurrence, and chemically and microbiologically characterise biofilms in the DWS of five broiler farms.

resultsThe bacterial load after disinfection in DWSs was assessed by sampling with a flocked swab followed by enumerations of total aerobic flora (TAC) and Pseudomonas spp. The dominant flora was identified and their biofilm-forming capacity was evaluated. Also, proteins, carbohydrates and uronic acids were quantified to analyse the presence of extracellular polymeric substances of biofilms. Despite disinfection of the water and the DWS, average TAC was 6.03 ± 1.53 log CFU/20cm

conclusionsStenotrophomonas maltophilia, Pseudomonas geniculata and Pseudomonas aeruginosa are considered as opportunistic pathogens and could consequently be a potential risk for animal health. Additionally, the biofilm-forming capacity of these organisms could promote attachment of other pathogens such as Campylobacter spp. and Salmonella spp.

Indexed as

Bacterial LoadBiofilmsAnimalsBacteriaBelgiumChickensDisinfectantsDrinking WaterPoultryPoultry DiseasesPseudomonasDisinfectantsDrinking WaterBiofilmBroilerDrinking water systemPseudomonas spp.Stenotrophomonas maltophilia

Identifiers

PMID30987581
PMCPMC6466764

What OpenQuestion holds

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LicenceCC BY
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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.