Cargando…
Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer
BACKGROUND: Bacterial mercury resistance is based on enzymatic reduction of ionic mercury to elemental mercury and has recently been demonstrated to be applicable for industrial wastewater clean-up. The long-term monitoring of such biocatalyser systems requires a cultivation independent functional c...
Autores principales: | , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2003
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC270059/ https://www.ncbi.nlm.nih.gov/pubmed/14577839 http://dx.doi.org/10.1186/1471-2180-3-22 |
_version_ | 1782121021301587968 |
---|---|
author | Felske, Andreas DM Fehr, Wanda Pauling, Björg V von Canstein, Harald Wagner-Döbler, Irene |
author_facet | Felske, Andreas DM Fehr, Wanda Pauling, Björg V von Canstein, Harald Wagner-Döbler, Irene |
author_sort | Felske, Andreas DM |
collection | PubMed |
description | BACKGROUND: Bacterial mercury resistance is based on enzymatic reduction of ionic mercury to elemental mercury and has recently been demonstrated to be applicable for industrial wastewater clean-up. The long-term monitoring of such biocatalyser systems requires a cultivation independent functional community profiling method targeting the key enzyme of the process, the merA gene coding for the mercuric reductase. We report on the development of a profiling method for merA and its application to monitor changes in the functional diversity of the biofilm community of a technical scale biocatalyzer over 8 months of on-site operation. RESULTS: Based on an alignment of 30 merA sequences from Gram negative bacteria, conserved primers were designed for amplification of merA fragments with an optimized PCR protocol. The resulting amplicons of approximately 280 bp were separated by thermogradient gelelectrophoresis (TGGE), resulting in strain specific fingerprints for mercury resistant Gram negative isolates with different merA sequences. The merA profiling of the biofilm community from a technical biocatalyzer showed persistence of some and loss of other inoculum strains as well as the appearance of new bands, resulting in an overall increase of the functional diversity of the biofilm community. One predominant new band of the merA community profile was also detected in a biocatalyzer effluent isolate, which was identified as Pseudomonas aeruginosa. The isolated strain showed lower mercury reduction rates in liquid culture than the inoculum strains but was apparently highly competitive in the biofilm environment of the biocatalyzer where moderate mercury levels were prevailing. CONCLUSIONS: The merA profiling technique allowed to monitor the ongoing selection for better adapted strains during the operation of a biocatalyzer and to direct their subsequent isolation. In such a way, a predominant mercury reducing Ps. aeruginosa strain was identified by its unique mercuric reductase gene. |
format | Text |
id | pubmed-270059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-2700592003-11-21 Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer Felske, Andreas DM Fehr, Wanda Pauling, Björg V von Canstein, Harald Wagner-Döbler, Irene BMC Microbiol Research Article BACKGROUND: Bacterial mercury resistance is based on enzymatic reduction of ionic mercury to elemental mercury and has recently been demonstrated to be applicable for industrial wastewater clean-up. The long-term monitoring of such biocatalyser systems requires a cultivation independent functional community profiling method targeting the key enzyme of the process, the merA gene coding for the mercuric reductase. We report on the development of a profiling method for merA and its application to monitor changes in the functional diversity of the biofilm community of a technical scale biocatalyzer over 8 months of on-site operation. RESULTS: Based on an alignment of 30 merA sequences from Gram negative bacteria, conserved primers were designed for amplification of merA fragments with an optimized PCR protocol. The resulting amplicons of approximately 280 bp were separated by thermogradient gelelectrophoresis (TGGE), resulting in strain specific fingerprints for mercury resistant Gram negative isolates with different merA sequences. The merA profiling of the biofilm community from a technical biocatalyzer showed persistence of some and loss of other inoculum strains as well as the appearance of new bands, resulting in an overall increase of the functional diversity of the biofilm community. One predominant new band of the merA community profile was also detected in a biocatalyzer effluent isolate, which was identified as Pseudomonas aeruginosa. The isolated strain showed lower mercury reduction rates in liquid culture than the inoculum strains but was apparently highly competitive in the biofilm environment of the biocatalyzer where moderate mercury levels were prevailing. CONCLUSIONS: The merA profiling technique allowed to monitor the ongoing selection for better adapted strains during the operation of a biocatalyzer and to direct their subsequent isolation. In such a way, a predominant mercury reducing Ps. aeruginosa strain was identified by its unique mercuric reductase gene. BioMed Central 2003-10-27 /pmc/articles/PMC270059/ /pubmed/14577839 http://dx.doi.org/10.1186/1471-2180-3-22 Text en Copyright © 2003 Felske et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research Article Felske, Andreas DM Fehr, Wanda Pauling, Björg V von Canstein, Harald Wagner-Döbler, Irene Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer |
title | Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer |
title_full | Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer |
title_fullStr | Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer |
title_full_unstemmed | Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer |
title_short | Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer |
title_sort | functional profiling of mercuric reductase (mer a) genes in biofilm communities of a technical scale biocatalyzer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC270059/ https://www.ncbi.nlm.nih.gov/pubmed/14577839 http://dx.doi.org/10.1186/1471-2180-3-22 |
work_keys_str_mv | AT felskeandreasdm functionalprofilingofmercuricreductasemeragenesinbiofilmcommunitiesofatechnicalscalebiocatalyzer AT fehrwanda functionalprofilingofmercuricreductasemeragenesinbiofilmcommunitiesofatechnicalscalebiocatalyzer AT paulingbjorgv functionalprofilingofmercuricreductasemeragenesinbiofilmcommunitiesofatechnicalscalebiocatalyzer AT voncansteinharald functionalprofilingofmercuricreductasemeragenesinbiofilmcommunitiesofatechnicalscalebiocatalyzer AT wagnerdoblerirene functionalprofilingofmercuricreductasemeragenesinbiofilmcommunitiesofatechnicalscalebiocatalyzer |