Literature DB >> 12902230

Diversity and seasonal variability of beta-Proteobacteria in biofilms of polluted rivers: analysis by temperature gradient gel electrophoresis and cloning.

I H M Brümmer1, A Felske, I Wagner-Döbler.   

Abstract

The beta-subgroup of the Proteobacteria has been shown to be important in aquatic habitats and was investigated in depth here by molecular 16S rRNA techniques in biofilms of the Elbe River and its polluted tributary, the Spittelwasser River. The bacterial 16S rRNA genes were cloned from each site, screened for beta-proteobacterial clones and sequenced. River biofilm clones from both rivers grouped into 9 clusters (RBFs). RBFs 1, 2, and 3 fell into the recently described betaI cluster of cosmopolitan freshwater bacteria, where they represented new species related to Rhodoferax, Aquaspirillum, and Hydrogenophaga: RBFs 4 to 7 affiliated with Aquabacterium commune, Ideonella dechloratans, and Sphaerotilus natans, respectively. The two remaining RBFs were uncultivated clusters, one of them being distantly related to Gallionella ferruginea. Seasonal changes in the relative intensity of the beta-proteobacterial 16S rRNA genes of biofilms harvested monthly for 1 year were determined by specific amplification and separation by temperature gradient gel electrophoresis (TGGE). Bands were identified by comparison of clones to community fingerprints by TGGE. Eight of 13 identified bands were shared by both habitats but showed different relative abundance and seasonal variability in the two rivers, probably caused by differences in temperature and pollutants. The data indicate new not-yet-cultivated clusters of river biofilm organisms, some of them probably distributed globally. They confirm the importance of certain known freshwater genera in river biofilms. The high phylogenetic resolution obtained by clone library analysis combined with the high temporal resolution obtained by TGGE suggest that the observed microdiversity in the river biofilm clone libraries might be caused by phylogenetically closely related microbial populations which are adapted to ecological parameters.

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Year:  2003        PMID: 12902230      PMCID: PMC169091          DOI: 10.1128/AEM.69.8.4463-4473.2003

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


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