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• W4387310461 abstract "Genome-centric Insights into Full-scale EBPR Captured During a Biomonitoring CampaignAbstractPhosphorus removal from wastewater remains a core component of modern wastewater treatment strategies critical for protecting aquatic ecosystems and capturing valuable nutrients. Enhanced biological phosphorus removal (EBPR) is attractive since it reduces the need for chemical precipitating agents and facilitates phosphorus recovery. However, instability can limit the reliable application of EBPR for meeting stringent effluent phosphorus limits. As part of an ongoing biomonitoring campaign, samples were collected before and during an EBPR process stability episode and sequenced for paired metagenomes and metatranscriptomes. Analysis revealed that shifts in carbon and phosphorus loads coupled with changes in the population sizes of non-fermenting polyphosphate accumulating organisms (PAOs; Candidatus Accumulibacter spp.), as identified in the metagenomic data, were associated with poor P-uptake. Metatranscriptomic data from these PAO populations revealed they were indeed substrate limited, as hypothesized from process data, with key genes related to carbon storage appearing down regulated during the instability event with respect to the stable control despite having a greater cell load during the instability period. Accordingly, several gene families related to carbon uptake, VFA metabolism, and PHA synthesis were found to be sensitive to the underlying carbon-limited conditions of the process instability. Our findings illustrate how combined metagenomic and metatranscriptomic sequencing can facilitate interpretation of process data and aid in evaluating the root cause of instability. These data also indicate potential gene targets suitable for developing EBPR performance markers as part of longer term or more frequent biomonitoring efforts.As part of an ongoing biomonitoring campaign, samples were collected before and during an EBPR process stability episode and sequenced for paired metagenomes and metatranscriptomes. Analysis revealed that shifts in carbon and phosphorus loads coupled with changes in the population sizes and gene transcription of PAOs were associated with poor P-uptake. Our findings illustrate how sequence data can facilitate interpretation of process data and aid in evaluating the root cause of instability.SpeakerLindner, BlakePresentation time14:00:0014:30:00Session time13:30:0015:00:00SessionConnecting Molecular Biology Sensors to EBPR PerformanceSession locationRoom S502 - Level 5TopicAdvanced Level, Facility Operations and Maintenance, Municipal Wastewater Treatment Design, NutrientsTopicAdvanced Level, Facility Operations and Maintenance, Municipal Wastewater Treatment Design, NutrientsAuthor(s)Lindner, BlakeAuthor(s)B. Lindner ¹; B. Layton ²; B. Lindner ¹; B. Layton ²; R. Golda ²; K. Lesnik ³; K. Konstantinidis ⁴; A. Menniti ²; P. Schauer ²;Author affiliation(s)School of Civil and Environmental Engineering, Georgia Institute of Technology ¹; Clean Water Services ²; School of Civil and Environmental Engineering, Georgia Institute of Technology ¹; Clean Water Services ²; Clean Water Services ²; Maia Analytica ³; School of Civil and Environmental Engineering, Georgia Institute of Technology ⁴; Clean Water Services ²; Clean Water Services ²;SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Oct 2023DOI10.2175/193864718825159085Volume / Issue Content sourceWEFTECCopyright2023Word count11" @default.
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• W4387310461 date "2023-10-03" @default.
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• W4387310461 title "Genome-centric Insights into Full-scale EBPR Captured During a Biomonitoring Campaign" @default.
• W4387310461 doi "https://doi.org/10.2175/193864718825159085" @default.
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