Changes in water and sediment bacterial community structure in a lake receiving acid mine drainage

1983 ◽  
Vol 9 (2) ◽  
pp. 155-169 ◽  
Author(s):  
Raymond A. Wassel ◽  
Aaron L. Mills
Keyword(s):  
Community Structure ◽  
Acid Mine Drainage ◽  
Bacterial Community ◽  
Bacterial Community Structure ◽  
Mine Drainage ◽  
Acid Mine ◽  
Water And Sediment ◽  
Sediment Bacterial Community

scholarly journals Hydraulic retention time affects bacterial community structure in an As-rich acid mine drainage (AMD) biotreatment process

2018 ◽  
Vol 102 (22) ◽  
pp. 9803-9813 ◽  
Author(s):  
Lidia Fernandez-Rojo ◽  
Corinne Casiot ◽  
Vincent Tardy ◽  
Elia Laroche ◽  
Pierre Le Pape ◽  
...  
Keyword(s):  
Community Structure ◽  
Acid Mine Drainage ◽  
Bacterial Community ◽  
Retention Time ◽  
Bacterial Community Structure ◽  
Hydraulic Retention Time ◽  
Mine Drainage ◽  
Acid Mine

Effects of remediation on the bacterial community of an acid mine drainage impacted stream

2012 ◽  
Vol 58 (11) ◽  
pp. 1316-1326 ◽  
Author(s):  
Suchismita Ghosh ◽  
Moumita Moitra ◽  
Christopher J. Woolverton ◽  
Laura G. Leff
Keyword(s):  
Community Structure ◽  
Acid Mine Drainage ◽  
Bacterial Community ◽  
Environmental Conditions ◽  
Bacterial Community Structure ◽  
Mine Drainage ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Acid Mine ◽  
Reference Stream

Acid mine drainage (AMD) represents a global threat to water resources, and as such, remediation of AMD-impacted streams is a common practice. During this study, we examined bacterial community structure and environmental conditions in a low-order AMD-impacted stream before, during, and after remediation. Bacterial community structure was examined via polymerase chain reaction amplification of 16S rRNA genes followed by denaturing gradient gel electrophoresis. Also, bacterial abundance and physicochemical data (including metal concentrations) were collected and relationships to bacterial community structure were determined using BIO-ENV analysis. Remediation of the study stream altered environmental conditions, including pH and concentrations of some metals, and consequently, the bacterial community changed. However, remediation did not necessarily restore the stream to conditions found in the unimpacted reference stream; for example, bacterial abundances and concentrations of some elements, such as sulfur, magnesium, and manganese, were different in the remediated stream than in the reference stream. BIO-ENV analysis revealed that changes in pH and iron concentration, associated with remediation, primarily explained temporal alterations in bacterial community structure. Although the sites sampled in the remediated stream were in relatively close proximity to each other, spatial variation in community composition suggests that differences in local environmental conditions may have large impacts on the microbial assemblage.

scholarly journals Biofilm Bacterial Community Structure in Streams Affected by Acid Mine Drainage

2009 ◽  
Vol 75 (11) ◽  
pp. 3455-3460 ◽  
Author(s):  
Gavin Lear ◽  
Dev Niyogi ◽  
Jon Harding ◽  
Yimin Dong ◽  
Gillian Lewis
Keyword(s):  
Community Structure ◽  
Acid Mine Drainage ◽  
Bacterial Community ◽  
Bacterial Communities ◽  
Mine Drainage ◽  
Iron Hydroxide ◽  
Acidic Ph ◽  
Dissolved Metals ◽  
Acid Mine ◽  
The Impact

ABSTRACT 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.

scholarly journals Efficient Low-pH Iron Removal by a Microbial Iron Oxide Mound Ecosystem at Scalp Level Run

2017 ◽  
Vol 83 (7) ◽  
Author(s):  
Christen L. Grettenberger ◽  
Alexandra R. Pearce ◽  
Kyle J. Bibby ◽  
Daniel S. Jones ◽  
William D. Burgos ◽  
...  
Keyword(s):  
Acid Mine Drainage ◽  
Bacterial Community ◽  
Microbial Communities ◽  
Mine Drainage ◽  
Iron Oxidation ◽  
Cost Effective ◽  
Low Ph ◽  
Content Type ◽  
Oxidation Rates ◽  
Acid Mine

ABSTRACT Acid mine drainage (AMD) is a major environmental problem affecting tens of thousands of kilometers of waterways worldwide. Passive bioremediation of AMD relies on microbial communities to oxidize and remove iron from the system; however, iron oxidation rates in AMD environments are highly variable among sites. At Scalp Level Run (Cambria County, PA), first-order iron oxidation rates are 10 times greater than at other coal-associated iron mounds in the Appalachians. We examined the bacterial community at Scalp Level Run to determine whether a unique community is responsible for the rapid iron oxidation rate. Despite strong geochemical gradients, including a >10-fold change in the concentration of ferrous iron from 57.3 mg/liter at the emergence to 2.5 mg/liter at the base of the coal tailings pile, the bacterial community composition was nearly constant with distance from the spring outflow. Scalp Level Run contains many of the same taxa present in other AMD sites, but the community is dominated by two strains of Ferrovum myxofaciens, a species that is associated with high rates of Fe(II) oxidation in laboratory studies. IMPORTANCE Acid mine drainage pollutes more than 19,300 km of rivers and streams and 72,000 ha of lakes worldwide. Remediation is frequently ineffective and costly, upwards of $100 billion globally and nearly $5 billion in Pennsylvania alone. Microbial Fe(II) oxidation is more efficient than abiotic Fe(II) oxidation at low pH (P. C. Singer and W. Stumm, Science 167:1121–1123, 1970, https://doi.org/10.1126/science.167.3921.1121 ). Therefore, AMD bioremediation could harness microbial Fe(II) oxidation to fuel more-cost-effective treatments. Advances will require a deeper understanding of the ecology of Fe(II)-oxidizing microbial communities and the factors that control their distribution and rates of Fe(II) oxidation. We investigated bacterial communities that inhabit an AMD site with rapid Fe(II) oxidation and found that they were dominated by two operational taxonomic units (OTUs) of Ferrovum myxofaciens, a taxon associated with high laboratory rates of iron oxidation. This research represents a step forward in identifying taxa that can be used to enhance cost-effective AMD bioremediation.

scholarly journals Three-year survey of sulfate-reducing bacteria community structure in Carnoulès acid mine drainage (France), highly contaminated by arsenic

2012 ◽  
Vol 83 (3) ◽  
pp. 724-737 ◽  
Author(s):  
Ludovic Giloteaux ◽  
Robert Duran ◽  
Corinne Casiot ◽  
Odile Bruneel ◽  
Françoise Elbaz-Poulichet ◽  
...  
Keyword(s):  
Community Structure ◽  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Sulfate Reducing Bacteria ◽  
Sulfate Reducing ◽  
Acid Mine ◽  
Bacteria Community Structure ◽  
Reducing Bacteria

scholarly journals Bacterial diversity and community structure in acid mine drainage from Dabaoshan Mine, China

2007 ◽  
Vol 47 ◽  
pp. 141-151 ◽  
Author(s):  
Y Yang ◽  
M Wan ◽  
W Shi ◽  
H Peng ◽  
G Qiu ◽  
...  
Keyword(s):  
Community Structure ◽  
Acid Mine Drainage ◽  
Bacterial Diversity ◽  
Mine Drainage ◽  
Acid Mine ◽  
Dabaoshan Mine
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