Genome-Resolved Metagenomics Revealed the Functional Potential of Core Novel and Known Genera Key to Processes in Full-Scale Aerobic Granular Sludge Plants
Lucia Ruiz-Haddad (King Abdullah University of Science and Technology)
Dario Rangel Shaw (King Abdullah University of Science and Technology)
Muhammad Ali (Trinity College Dublin)
Mario Pronk (TU Delft - Applied Sciences)
Mark C.M. van Loosdrecht (TU Delft - Applied Sciences)
Olena Samonina (King Abdullah University of Science and Technology)
Pascal E. Saikaly (King Abdullah University of Science and Technology)
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Abstract
Microbial communities are critical for nutrient removal in aerobic granular sludge (AGS) wastewater treatment plants (WWTPs). Despite the stable long-term operation of full-scale AGS WWTPs, the microbial populations and functional traits sustaining stable long-term performance remain poorly resolved. To address this gap, the recovered MAG catalog from nine full-scale AGS WWTPs across five countries was analyzed. From this catalog, 74 high-quality core MAGs were identified and used for downstream taxonomic characterization and functional analyses. These high-quality core MAGs spanned 48 established and 7 novel genera, representing 31 known and 43 novel species. Functional analysis linked core MAGs to key WWTP processes: polyphosphate accumulation (9), glycogen accumulation (12), denitrification (62), and nitrification (1). These included four novel MAGs with glycogen-accumulating (3) and polyphosphate-accumulating (1) potential and 11 capable of nitrous oxide reduction, critical for mitigating greenhouse gas emissions. Ca. Phosphoribacter was the most abundant genus, highlighting its underestimated role caused by misclassification as Tetrasphaera in 16S rRNA surveys. Specifically, Ca. P. hodrii was the dominant species, exhibiting enhanced sugar uptake and amino acid synthesis as likely drivers of its enrichment in the AGS WWTPs. Overall, this study resolves for the first time the taxa and functional traits consistently enriched in full-scale AGS systems, enabling a shift from an empirical performance assessment toward biologically informed process interpretation.
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File under embargo until 19-02-2027