| Biofilm bacterial community structure in streams affected by acid mine drainage. | |
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MedLine Citation:
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PMID: 19363070 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We examined the bacterial communities of epilithic biofilms in 17 streams which represented a gradient ranging from relatively pristine streams to streams highly impacted by acid mine drainage (AMD). A combination of automated ribosomal intergenic spacer analysis with multivariate analysis and ordination provided a sensitive, high-throughput method to monitor the impact of AMD on stream bacterial communities. Significant differences in community structure were detected among neutral to alkaline (pH 6.7 to 8.3), acidic (pH 3.9 to 5.7), and very acidic (pH 2.8 to 3.5) streams. DNA sequence analysis revealed that the acidic streams were generally dominated by bacteria related to the iron-oxidizing genus Gallionella, while the organisms in very acidic streams were less diverse and included a high proportion of acidophilic eukaryotes, including taxa related to the algal genera Navicula and Klebsormidium. Despite the presence of high concentrations of dissolved metals (e.g., Al and Zn) and deposits of iron hydroxide in some of the streams studied, pH was the most important determinant of the observed differences in bacterial community variability. These findings confirm that any restoration activities in such systems must focus on dealing with pH as the first priority. |
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Authors:
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Gavin Lear; Dev Niyogi; Jon Harding; Yimin Dong; Gillian Lewis |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2009-04-10 |
Journal Detail:
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Title: Applied and environmental microbiology Volume: 75 ISSN: 1098-5336 ISO Abbreviation: Appl. Environ. Microbiol. Publication Date: 2009 Jun |
Date Detail:
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Created Date: 2009-05-26 Completed Date: 2009-06-15 Revised Date: 2010-09-24 |
Medline Journal Info:
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Nlm Unique ID: 7605801 Medline TA: Appl Environ Microbiol Country: United States |
Other Details:
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Languages: eng Pagination: 3455-60 Citation Subset: IM |
Affiliation:
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The University of Auckland, New Zealand. g.lear@auckland.ac.nz |
| Data Bank Information | |
Bank Name/Acc. No.:
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Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algae
/
classification,
genetics,
isolation & purification Bacteria / classification*, genetics, isolation & purification* Biodiversity* Biofilms / growth & development* Cluster Analysis DNA, Algal / chemistry, genetics DNA, Bacterial / chemistry, genetics DNA, Ribosomal / chemistry, genetics DNA, Ribosomal Spacer / chemistry, genetics Hydrogen-Ion Concentration Molecular Sequence Data Phylogeny Rivers / chemistry, microbiology* Sequence Analysis, DNA Sequence Homology, Nucleic Acid Water Pollution, Chemical* |
| Chemical | |
Reg. No./Substance:
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0/DNA, Algal; 0/DNA, Bacterial; 0/DNA, Ribosomal; 0/DNA, Ribosomal Spacer |
| Comments/Corrections | |
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