Project description:Wastewater treatment plants use a variety of bioreactor types and configurations to remove organic matter and nutrients. Little is known regarding the effects of different configurations and within-plant immigration on microbial community dynamics. Previously, we found that the structure of ammonia-oxidizing bacterial (AOB) communities in a full-scale dispersed growth activated sludge bioreactor correlated strongly with levels of NO2- entering the reactor from an upstream trickling filter (Wells et al 2009). Here, to further examine this puzzling association, we profile within-plant microbial biogeography (spatial variation) and test the hypothesis that substantial microbial immigration occurs along a transect (raw influent, trickling filter biofilm, trickling filter effluent, and activated sludge) at the same full-scale wastewater treatment plant. AOB amoA gene abundance increased >30-fold between influent and trickling filter effluent concomitant with NO2- production, indicating unexpected growth and activity of AOB within the trickling filter. Nitrosomonas europaea was the dominant AOB phylotype in trickling filter biofilm and effluent, while a distinct ‘Nitrosomonas-like’ lineage dominated in activated sludge. Prior time series indicated that this ‘Nitrosomonas-like’ lineage was dominant when NO2- levels in the trickling filter effluent (i.e., activated sludge influent) were low, while N. europaea became dominant in the activated sludge when NO2- levels were high. This is consistent with the hypothesis that NO2- production may co-occur with biofilm sloughing, releasing N. europaea from the trickling filter into the activated sludge bioreactor. Phylogenetic microarray (PhyloChip) analyses revealed significant spatial variation in taxonomic diversity, including a large excess of methanogens in the trickling filter relative to activated sludge and attenuation of Enterobacteriaceae across the transect, and demonstrated transport of a highly diverse microbial community via the trickling filter effluent to the activated sludge bioreactor. Our results provide compelling evidence that substantial immigration between coupled process units occurs and may exert significant influence over microbial community dynamics within staged bioreactors.

Project description:A shotgun metagenome microarray was created and used to investigate gene transcription during vinyl chloride (VC) dechlorination by a microbial enrichment culture called KB1. The array was constructed by spotting genomic fragments amplified from short-insert libraries of KB1 metagenomic DNA. Subsequently, the microarrays were interrogated with RNA extracted from KB1 during VC dechlorination (VC+methanol), and in the absence of VC (methanol-only). The most differentially expressed spots, and spots with the highest intensities, were then chosen to be sequenced. Sequencing revealed that Dehalococcoides (Dhc) genes involved in transcription, translation and energy generation were up-regulated during VC degradation. Furthermore, the results indicated that the reductive dehalogenase homologous (RDH) gene KB1rdhA14 is the only RDH gene up-regulated upon VC degradation, and that multiple RDH genes were more highly transcribed in the absence of VC. Numerous hypothetical genes from Dehalococcoides were also more highly transcribed in methanol only treatments and indicate that many uncharacterized proteins are involved in cell maintenance in the absence of chlorinated substrates. Spots with genes from Spirochaetes, Chloroflexi, Geobacter, Methanogens and phage organisms were differentially expressed and sequencing provided information from these uncultivated organisms that can be used to design primers for more targeted studies. This array format is powerful, as it does not require a priori sequence knowledge. This study provides the first report of such arrays being used to investigate transcription in a mixed community, and shows that this array format can be used to screen metagenomic libraries for functionally important genes. 2 Biological replicate experimens conducted 1 month apart. In the first there were 2 dye-swapped duplicates (total 4) of VC+MeOH versus MeOH only. In the second experiment there was one set of dye swapped arrays. Thus 6 arrays were performed including biological replicates, dye swapped replicates and technical duplicates.

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