Cover Image

A culture independent method for the detection of Aeromonas sp. from water samples

Fadua Latif-Eugenín, Roxana Beaz-Hidalgo, María José Figueras
  • Fadua Latif-Eugenín
    Unit of Microbiology, Medicine and Health Science School, Rovira i Virgili University, Reus, Spain
  • Roxana Beaz-Hidalgo
    Unit of Microbiology, Medicine and Health Science School, Rovira i Virgili University, Reus, Spain
  • María José Figueras
    Unit of Microbiology, Medicine and Health Science School, Rovira i Virgili University, Reus, Spain | mariajose.figueras@urv.cat

Abstract

The genus Aeromonas is present in a wide variety of water environments and is recognised as potentially pathogenic to humans and animals. Members of this genus are often confused with Vibrio when using automated, commercial identification systems that are culture-dependent. This study describes a polymerase chain reaction (PCR) detection method for Aeromonas that is culture- independent and that targets the glycerophospholopid-cholesterol acyltransferase (gcat) gene, which is specific for this genus. The GCAT-PCR was 100% specific in artificially inoculated water samples, with a detection limit that ranged from 2.5 to 25 cfu/mL. The success at detecting this pathogen in 86 water samples using the GCAT-PCR method was identical to the conventional culturing method when a pre-enrichment step was carried out, yielding 83.7% positive samples. On the other hand, without a pre-enrichment step, only 77.9% of the samples were positive by culturing and only 15.1% with the GCATPCR. However, 83.7% positive samples were obtained for the GCAT-PCR when the water volume for the DNA extraction was increased from 400 μL to 4 mL. The proposed molecular method is much faster (5 or 29 h) than the culturing method (24 or 48 h) whether performed directly or after a pre-enrichment step and it will enable the fast detection of Aeromonas in water samples helping to prevent a possible transmission to humans.

Keywords

Detection; GCAT; PCR; Aeromonas; Water

Full Text:

PDF
HTML
Submitted: 2015-08-17 11:55:57
Published: 2016-01-18 14:51:14
Search for citations in Google Scholar
Related articles: Google Scholar
Abstract views:
1174

Views:
PDF
472
HTML
424

Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM


Copyright (c) 2016 Fadua Latif-Eugenín, Roxana Beaz-Hidalgo, María José Figueras

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
 
© PAGEPress 2008-2017     -     PAGEPress is a registered trademark property of PAGEPress srl, Italy.     -     VAT: IT02125780185