Evidence map›Paper›PMID 23603681›Full record

ArticleApplied and environmental microbiology2013

Close genetic relationship between Legionella pneumophila serogroup 1 isolates from sputum specimens and puddles on roads, as determined by sequence-based typing.

Jun-ichi Kanatani, Junko Isobe, Keiko Kimata, Tomoko Shima, Miwako Shimizu, Fumiaki Kura, Tetsutaro Sata, Masanori Watahiki

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2013. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

  1. Detection ofJournal of water and health · 2024
    Article
  2. Article
  3. Presence of Viable, Clinically RelevantMicrobiology spectrum · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Legionnaire's disease, weather and climate.Bulletin of the World Health Organization · 2015
    Article
  10. Review
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

8 authors.

Jun-ichi KanataniDepartment of Bacteriology, Toyama Institute of Health, Nakataikoyama, Imizu-shi, Toyama, Japan.
Junko Isobe
Keiko Kimata
Tomoko Shima
Miwako Shimizu
Fumiaki Kura
Tetsutaro Sata
Masanori Watahiki

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the prevalence of Legionella species isolated from puddles on asphalt roads. In addition, we carried out sequence-based typing (SBT) analysis on the genetic relationship between L. pneumophila serogroup 1 (SG 1) isolates from puddles and from stock strains previously obtained from sputum specimens and public baths. Sixty-nine water samples were collected from puddles on roads at 6 fixed locations. Legionella species were detected in 33 samples (47.8%) regardless of season. Among the 325 isolates from puddles, strains of L. pneumophila SG 1, a major causative agent of Legionnaires' disease, were the most frequently isolated (n = 62, 19.1%). Sixty-two isolates of L. pneumophila SG 1 from puddles were classified into 36 sequence types (STs) by SBT. ST120 and ST48 were identified as major STs. Environmental ST120 strains from puddles were found for the first time in this study. Among the 14 STs of the clinical isolates (n = 19), 4 STs (n = 6, 31.6%), including ST120, were also detected in isolates from puddles on roads, and the sources of infection in these cases remained unclear. The lag-1 gene, a tentative marker for clinical isolates, was prevalent in puddle isolates (61.3%). Our findings suggest that puddles on asphalt roads serve as potential reservoirs for L. pneumophila in the environment.

Indexed as

Water MicrobiologyAcetyltransferasesBacterial ProteinsBase SequenceBathsDisease ReservoirsDNA PrimersHumansHydrocarbonsJapanLegionella pneumophilaMolecular Sequence DataPolymerase Chain ReactionSequence Analysis, DNASpecies SpecificitySputumAcetyltransferasesasphaltBacterial ProteinsDNA PrimersHydrocarbonslag-1 protein, Legionella

Identifiers

PMID23603681
PMCPMC3697553

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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.