Fingerprinting Microbial Assemblages from the Oxic/Anoxic Chemocline of the Black Sea
- 1 November 2003
- journal article
- Published by American Society for Microbiology in Applied and Environmental Microbiology
- Vol. 69 (11) , 6481-6488
- https://doi.org/10.1128/aem.69.11.6481-6488.2003
Abstract
Biomass samples from the Black Sea collected in 1988 were analyzed for SSU genes from Bacteria and Archaea after 10 years of storage at −80°C. Both clonal libraries and direct fingerprinting by terminal restriction fragment length polymorphism (T-RFLP) analyses were used to assess the microbial community. Uniform and discrete depth distributions of different SSU phylotypes were observed. However, most recombinant clones were not restricted to a specific depth in the water column, and many of the major T-RFLP peaks remain uncharacterized. Of the clones obtained, an ε- Proteobacteria and a Pseudoalteromonas -like clone accounted for major peaks in the fingerprint, while deeply branching lineages of α- and γ- Proteobacteria were associated with smaller peaks. Additionally, members were found among both the δ- Proteobacteria related to sulfate reducers and the Archaea related to phylotypes from the ANME groups that anaerobically oxidize methane.Keywords
This publication has 56 references indexed in Scilit:
- Microbial Diversity of Hydrothermal Sediments in the Guaymas Basin: Evidence for Anaerobic Methanotrophic CommunitiesApplied and Environmental Microbiology, 2002
- Seasonal and Spatial Variability in Lake Michigan Sediment Small-Subunit rRNA ConcentrationsApplied and Environmental Microbiology, 2001
- Biogeochemical and Molecular Signatures of Anaerobic Methane Oxidation in a Marine SedimentApplied and Environmental Microbiology, 2001
- Molecular signals for anaerobic methane oxidation in Black Sea seep carbonates and a microbial matMarine Chemistry, 2001
- Small ribosomal RNA content in marine Proteobacteria during non-steady-state growthFEMS Microbiology Ecology, 1999
- Molecular characterization of a sulfate-reducing consortium which mineralizes benzeneFEMS Microbiology Ecology, 1998
- Evaluation of the maximum likelihood estimate of the evolutionary tree topologies from DNA sequence data, and the branching order in hominoideaJournal of Molecular Evolution, 1989
- Unexpected changes in the oxic/anoxic interface in the Black SeaNature, 1989
- A Least Squares Algorithm for Fitting Additive Trees to Proximity DataPsychometrika, 1983
- Evolutionary trees from DNA sequences: A maximum likelihood approachJournal of Molecular Evolution, 1981