Literature DB >> 23246592

Evaluation of oprI and oprL genes as molecular markers for the genus Pseudomonas and their use in studying the biodiversity of a small Belgian River.

Sandra Matthijs1, An Coorevits, Tsegaye Teklemichael Gebrekidan, Catherine Tricot, Corinne Vander Wauven, Jean-Paul Pirnay, Paul De Vos, Pierre Cornelis.   

Abstract

A multiplex PCR based on oprI and oprL, coding for the outer membrane lipoprotein I and the peptidoglycan-associated lipoprotein OprL, respectively, was developed for the detection of Pseudomonas strains from a bacterial collection isolated from a small river. To study the diversity of these Pseudomonas isolates, an oprI-oprL gene sequence database of 94 Pseudomonas type strains was constructed. Phylogenetic analysis of the concatenated oprI and oprL gene sequences of the Pseudomonas type strains showed that they were largely congruent with the classification based on the MLSA approach based on 16S rRNA, gyrB, rpoB and rpoD gene sequences of Mulet et al. in 2010. Identification of the isolates demonstrated a high diversity of Pseudomonas isolates at the source of the river located in a forest of which most isolates belonged to the Pseudomonas fluorescens lineage. On the other hand, the Pseudomonas population isolated at an anthropized site at the mouth of the river, receiving waste water from both households and industry, was very different and contained many Pseudomonas aeruginosa isolates.
Copyright © 2012 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.

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Year:  2012        PMID: 23246592     DOI: 10.1016/j.resmic.2012.12.001

Source DB:  PubMed          Journal:  Res Microbiol        ISSN: 0923-2508            Impact factor:   3.992


  5 in total

1.  rpoD gene pyrosequencing for the assessment of Pseudomonas diversity in a water sample from the Woluwe River.

Authors:  David Sánchez; Sandra Matthijs; Margarita Gomila; Catherine Tricot; Magdalena Mulet; Elena García-Valdés; Jorge Lalucat
Journal:  Appl Environ Microbiol       Date:  2014-08       Impact factor: 4.792

2.  Quantifying dominant bacterial genera detected in metagenomic data from fish eggs and larvae using genus-specific primers.

Authors:  Babak Najafpour; Patricia I S Pinto; A V M Canario; Deborah M Power
Journal:  Microbiologyopen       Date:  2022-06       Impact factor: 3.904

3.  Antibiogram profile and virulence signatures of Pseudomonas aeruginosa isolates recovered from selected agrestic hospital effluents.

Authors:  Q Mapipa; T O Digban; N E Nnolim; U U Nwodo
Journal:  Sci Rep       Date:  2021-06-03       Impact factor: 4.379

4.  Transcriptome analysis of Pseudomonas aeruginosa PAO1 grown at both body and elevated temperatures.

Authors:  Kok-Gan Chan; Kumutha Priya; Chien-Yi Chang; Ahmad Yamin Abdul Rahman; Kok Keng Tee; Wai-Fong Yin
Journal:  PeerJ       Date:  2016-07-19       Impact factor: 2.984

5.  Pseudomonas-Specific NGS Assay Provides Insight Into Abundance and Dynamics of Pseudomonas Species Including P. aeruginosa in a Cooling Tower.

Authors:  Rui P A Pereira; Jörg Peplies; Douglas Mushi; Ingrid Brettar; Manfred G Höfle
Journal:  Front Microbiol       Date:  2018-08-21       Impact factor: 5.640

  5 in total

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