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      Evaluation of dairy processing wastewater biotreatment in an IASBR system: Aeration rate impacts on performance and microbial ecology

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          Highlights

          • Dairy processing wastewater biotreatment using IASBR technology is proposed.

          • Minor (0.2 LPM) aeration rate variations heavily influenced efficiency and ecology.

          • Optimal nutrient removal efficiencies (≥92%) achieved under 0.6LPM aeration rate.

          • Comamonadaceae stably enriched in reactor biomass (>80% relative abundance).

          • Comamonadaceae top contributor of nitrogen and phosphorus assimilation genes.

          Abstract

          Dairy processing generates large volumes of wastewater that require extensive nutrient remediation prior to discharge. Significant commercial opportunities exist therefore for cost-effective biotechnologies capable of achieving this requirement. In this study the authors evaluated the use of intermittently aerated sequencing batch reactors, (IASBRs), as a single-tank biotreatment system for co-removal of COD, nitrogen and phosphorus from synthetic dairy processing wastewater. Variation of the IASBR aeration rates, (0.8, 0.6 and 0.4 L/min), had significant impacts on the respective nutrient removal efficiencies and underlying microbial diversity profiles. Aeration at 0.6 L/min was most effective and resulted in >90% co-removal of orthophosphate and ammonium. 16S rRNA based pyrosequencing of biomass DNA samples revealed the family Comamonadaceae was notably enriched (>80% relative abundance) under these conditions. In silico predictive metabolic modelling also identified Comamonadaceae as the major contributor of several known genes for nitrogen and phosphorus assimilation ( nirK, nosZ, norB, ppK, ppX and phbC).

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          Most cited references45

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          KEGG: kyoto encyclopedia of genes and genomes.

          M Kanehisa (2000)
          KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
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            Fast, accurate error-correction of amplicon pyrosequences using Acacia.

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              Bacterial community structures are unique and resilient in full-scale bioenergy systems.

              Anaerobic digestion is the most successful bioenergy technology worldwide with, at its core, undefined microbial communities that have poorly understood dynamics. Here, we investigated the relationships of bacterial community structure (>400,000 16S rRNA gene sequences for 112 samples) with function (i.e., bioreactor performance) and environment (i.e., operating conditions) in a yearlong monthly time series of nine full-scale bioreactor facilities treating brewery wastewater (>20,000 measurements). Each of the nine facilities had a unique community structure with an unprecedented level of stability. Using machine learning, we identified a small subset of operational taxonomic units (OTUs; 145 out of 4,962), which predicted the location of the facility of origin for almost every sample (96.4% accuracy). Of these 145 OTUs, syntrophic bacteria were systematically overrepresented, demonstrating that syntrophs rebounded following disturbances. This indicates that resilience, rather than dynamic competition, played an important role in maintaining the necessary syntrophic populations. In addition, we explained the observed phylogenetic differences between all samples on the basis of a subset of environmental gradients (using constrained ordination) and found stronger relationships between community structure and its function rather than its environment. These relationships were strongest for two performance variables--methanogenic activity and substrate removal efficiency--both of which were also affected by microbial ecology because these variables were correlated with community evenness (at any given time) and variability in phylogenetic structure (over time), respectively. Thus, we quantified relationships between community structure and function, which opens the door to engineer communities with superior functions.
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                Author and article information

                Contributors
                Journal
                Biotechnol Rep (Amst)
                Biotechnol Rep (Amst)
                Biotechnology Reports
                Elsevier
                2215-017X
                05 June 2018
                September 2018
                05 June 2018
                : 19
                : e00263
                Affiliations
                [a ]School of Microbiology, University College Cork, College Road, Cork T12 YN60, Ireland
                [b ]Environmental Research Institute, University College Cork, Lee Road, Cork T23 XE10, Ireland
                [c ]College of Engineering and Informatics, National University of Ireland Galway, University Road, Galway H91 TK33, Ireland
                Author notes
                [* ]Corresponding author at: School of Microbiology, University College Cork, College Road, Cork T12 YN60, Ireland. n.oleary@ 123456ucc.ie
                Article
                S2215-017X(18)30027-4 e00263
                10.1016/j.btre.2018.e00263
                6036646
                a3251f1f-2ab7-4ecd-8718-8a61adcd238c
                © 2018 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 28 February 2018
                : 24 April 2018
                : 2 June 2018
                Categories
                Article

                biotreatment,dairy wastewater,sludge biomass,intermittently aerated sequencing batch reactor (iasbr),biological nutrient removal (bnr),comamonadaceae

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