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Pyrosequencing analysis yields comprehensive assessment of microbial communities in pilot-scale two-stage membrane biofilm reactors.
- Source :
-
Environmental science & technology [Environ Sci Technol] 2014 Jul 01; Vol. 48 (13), pp. 7511-8. Date of Electronic Publication: 2014 Jun 11. - Publication Year :
- 2014
-
Abstract
- We studied the microbial community structure of pilot two-stage membrane biofilm reactors (MBfRs) designed to reduce nitrate (NO3(-)) and perchlorate (ClO4(-)) in contaminated groundwater. The groundwater also contained oxygen (O2) and sulfate (SO4(2-)), which became important electron sinks that affected the NO3(-) and ClO4(-) removal rates. Using pyrosequencing, we elucidated how important phylotypes of each "primary" microbial group, i.e., denitrifying bacteria (DB), perchlorate-reducing bacteria (PRB), and sulfate-reducing bacteria (SRB), responded to changes in electron-acceptor loading. UniFrac, principal coordinate analysis (PCoA), and diversity analyses documented that the microbial community of biofilms sampled when the MBfRs had a high acceptor loading were phylogenetically distant from and less diverse than the microbial community of biofilm samples with lower acceptor loadings. Diminished acceptor loading led to SO4(2-) reduction in the lag MBfR, which allowed Desulfovibrionales (an SRB) and Thiothrichales (sulfur-oxidizers) to thrive through S cycling. As a result of this cooperative relationship, they competed effectively with DB/PRB phylotypes such as Xanthomonadales and Rhodobacterales. Thus, pyrosequencing illustrated that while DB, PRB, and SRB responded predictably to changes in acceptor loading, a decrease in total acceptor loading led to important shifts within the "primary" groups, the onset of other members (e.g., Thiothrichales), and overall greater diversity.
- Subjects :
- Bacteria classification
Denitrification
Electrons
Hydrogen chemistry
Nitrates metabolism
Oxidation-Reduction
Perchlorates metabolism
Phylogeny
Pilot Projects
Principal Component Analysis
Sulfates metabolism
Time Factors
Bacteria genetics
Biofilms
Bioreactors microbiology
Membranes, Artificial
Sequence Analysis, DNA methods
Subjects
Details
- Language :
- English
- ISSN :
- 1520-5851
- Volume :
- 48
- Issue :
- 13
- Database :
- MEDLINE
- Journal :
- Environmental science & technology
- Publication Type :
- Academic Journal
- Accession number :
- 24917125
- Full Text :
- https://doi.org/10.1021/es5012466