Arsenate respiratory reductase gene (arrA) for Desulfosporosinus sp. strain Y5.

Desulfosporosinus sp. strain Y5 is a spore-forming bacterium capable of dissimilatory arsenate reduction coupled to the oxidation of aromatic compounds. In arsenate respiration, the arsenate respiratory reductase (ARR) catalyzes the reduction of arsenate to arsenite. Our objective is to characterize the arrA gene, encoding the ARR, for Desulfosporosinus sp. strain Y5. Oligonucleotide primers were designed based on the few arrA gene sequences available at the time and validated against positive and negative controls. The resulting arrA-amplicon of approximately 2.0kb was cloned and sequenced. The arrA from Desulfosporosinus sp. Y5 is closely related to Desulfitobacterium hafniense (similarity of 77% and 81% at the nucleotide and amino acid levels, respectively). Phylogenetic topology based on the arrA gene was partially congruent with that of 16S rRNA-based analysis. This arrA sequence will support the development of specific tracking probes for Desulfosporosinus sp. Y5 and the molecular characterization and monitoring of dissimilatory arsenate reducing bacteria.

T-RFLP analysis of bacterial communities in cyclodextrin-amended bioreactors developed for biodegradation of polychlorinated biphenyls.

In this study, T-RFLP analysis was used to determine the structure and spatial distribution of the indigenous bacterial community of an actual-site PCB-contaminated soil treated in aerobic packed-bed loop reactors (PBLRs) in the absence or in the presence of a mixture of randomly methylated beta-cyclodextrins (RAMEB) at 0.5 or 1% w/w. RAMEB was found to significantly enhance the aerobic bioremediation of soil with effects that increased proportionally with the concentration at which it was applied. At the end of treatment (180 days), T-RFLP analysis of the soil samples collected from the top and bottom regions of the PBLRs showed a series of 50 single T-RFs. Remarkably, the number of T-RFs was significantly lower (13-22) in samples collected from different sections of the RAMEB-amended bioreactors with respect to equivalent samples collected from the RAMEB-free reactor. Cluster analysis based on the presence or the absence of T-RFs peaks revealed high similarity, inside each reactor, between the top and bottom parts of its soil bed. Soil samples collected at the top and bottom regions of the two bioreactors amended with RAMEB, clustered together while the equivalent samples of the bioreactor without RAMEB formed a separate cluster which was distantly related to the soil samples obtained from the parallel amended bioreactor. Notably, T-RFLP analyses combined with extensive sequencing of 16S rDNA allowed us to tentatively allocate a series of bacterial species corresponding to specific peaks of the T-RFLP profiles and to determine their phylogenetic affiliation.