Evidence map›Paper›PMID 28032128›Full record

ArticleMicrobial ecology2017

Molecular Characterization and Phylogenetic Analysis of Pseudomonas aeruginosa Isolates Recovered from Greek Aquatic Habitats Implementing the Double-Locus Sequence Typing Scheme.

Olga Pappa, Apostolos Beloukas, Apostolos Vantarakis, Athena Mavridou, Anastasia-Maria Kefala, Alex Galanis

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Article in Microbial ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Molecular epidemiology of colistin-resistantIranian journal of basic medical sciences · 2019
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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

6 authors.

Olga PappaCentral Public Health Laboratory, Hellenic Center for Disease Control and Prevention, Athens, Greece.
Apostolos BeloukasDepartment of Medical Laboratories Technological Educational Institute of Athens, Athens, Greece.
Apostolos VantarakisEnvironmental Microbiology Unit, Department of Public Health, School of Medicine, University of Patras, Patras, Greece.
Athena MavridouDepartment of Medical Laboratories Technological Educational Institute of Athens, Athens, Greece.
Anastasia-Maria KefalaDepartment of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece.
Alex GalanisDepartment of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece. agalanis@mbg.duth.gr.ORCID 0000-0001-9991-3173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recently described double-locus sequence typing (DLST) scheme implemented to deeply characterize the genetic profiles of 52 resistant environmental Pseudomonas aeruginosa isolates deriving from aquatic habitats of Greece. DLST scheme was able not only to assign an already known allelic profile to the majority of the isolates but also to recognize two new ones (ms217-190, ms217-191) with high discriminatory power. A third locus (oprD) was also used for the molecular typing, which has been found to be fundamental for the phylogenetic analysis of environmental isolates given the resulted increased discrimination between the isolates. Additionally, the circulation of acquired resistant mechanisms in the aquatic habitats according to their genetic profiles was proved to be more extent. Hereby, we suggest that the combination of the DLST to oprD typing can discriminate phenotypically and genetically related environmental P. aeruginosa isolates providing reliable phylogenetic analysis at a local level.

Indexed as

EcosystemMultilocus Sequence TypingPhylogenyWater MicrobiologyBacterial Typing TechniquesGreecePseudomonas aeruginosaAquatic habitatsDLSToprDP. aeruginosaPhylogenesis

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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.