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Dynamic changes in the microbial community composition in microbial fuel cells fed with sucrose.
- Source :
-
Applied microbiology and biotechnology [Appl Microbiol Biotechnol] 2012 Jan; Vol. 93 (1), pp. 423-37. Date of Electronic Publication: 2011 Oct 11. - Publication Year :
- 2012
-
Abstract
- The performance and dynamics of the bacterial communities in the biofilm and suspended culture in the anode chamber of sucrose-fed microbial fuel cells (MFCs) were studied by using denaturing gradient gel electrophoresis (DGGE) of PCR-amplified partial 16S rRNA genes followed by species identification by sequencing. The power density of MFCs was correlated to the relative proportions of species obtained from DGGE analysis in order to detect bacterial species or taxonomic classes with important functional role in electricity production. Although replicate MFCs showed similarity in performance, cluster analysis of DGGE profiles revealed differences in the evolution of bacterial communities between replicate MFCs. No correlation was found between the proportion trends of specific species and the enhancement of power output. However, in all MFCs, putative exoelectrogenic denitrifiers and sulphate-reducers accounted for approximately 24% of the bacterial biofilm community at the end of the study. Pareto-Lorenz evenness distribution curves extracted from the DGGE patterns obtained from time course samples indicated community structures where shifts between functionally similar species occur, as observed within the predominant fermentative bacteria. These results suggest the presence of functional redundancy within the anodic communities, a probable indication that stable MFC performance can be maintained in changing environmental conditions. The capability of bacteria to adapt to electricity generation might be present among a wide range of bacteria.
- Subjects :
- Bacteria growth & development
Biofilms growth & development
Cluster Analysis
DNA, Bacterial chemistry
DNA, Bacterial genetics
DNA, Ribosomal chemistry
DNA, Ribosomal genetics
Denaturing Gradient Gel Electrophoresis
Electricity
Electrodes microbiology
Molecular Sequence Data
Phylogeny
RNA, Ribosomal, 16S genetics
Sequence Analysis, DNA
Bacteria classification
Bacteria metabolism
Bioelectric Energy Sources microbiology
Biota
Sucrose metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1432-0614
- Volume :
- 93
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Applied microbiology and biotechnology
- Publication Type :
- Academic Journal
- Accession number :
- 21984392
- Full Text :
- https://doi.org/10.1007/s00253-011-3590-y