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A molecular and multivariate approach to the microbial community of a commercial shallow raceway marine recirculation system operating with a Moving Bed Biofilter
Author(s) -
Matos Ana,
Borges MariaTeresa,
Peixe Carla,
Henriques Isabel,
Pereira Carlos M,
Castro Paula M L
Publication year - 2011
Publication title -
aquaculture research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 89
eISSN - 1365-2109
pISSN - 1355-557X
DOI - 10.1111/j.1365-2109.2010.02719.x
Subject(s) - biology , temperature gradient gel electrophoresis , biofilter , recirculating aquaculture system , bacteroidetes , raceway , bacteria , proteobacteria , aquaculture , microbial population biology , 16s ribosomal rna , microbiology and biotechnology , biomass (ecology) , amplified ribosomal dna restriction analysis , food science , ecology , ribosomal dna , fishery , environmental science , environmental engineering , fish <actinopterygii> , phylogenetics , genetics , biochemistry , physics , finite element method , gene , thermodynamics
Information on commercial aquaculture systems bacterial communities is scarce. The present study was performed in a turbot shallow raceway recirculating aquaculture system throughout 221 days after initial fish stocking. The dynamics of bacteria attached to a Moving Bed Biofilm Reactor and the distribution of the system culturable planktonic heterotrophic bacteria were assessed. Different levels of free heterotrophic bacteria were found over time: ≤2.6 × 10 4 CFU mL −1 in incoming and ozonated water and ≥1.5 × 10 6 CFU mL −1 in raceway and biofilter water. 16S rRNA gene sequencing of nine strains persistently isolated from the system affiliated with Bacteroidetes, α‐Proteobacteria or γ‐Proteobacteria. Polymerase chain reaction‐denaturating gradient gel electrophoresis (PCR‐DGGE) data showed temporal and spatial segregation of attached biofilter community. The first 32 days were the most important for bacterial establishment with higher culturable bacteria biomass loadings and higher community diversity. Multivariate canonical correspondence analysis of PCR‐DGGE showed that the most common aquaculture water quality descriptors explained 70% of the DGGE pattern variability.