Distinct microdiversity of phosphate accumulating organisms (PAOs) between side-stream and conventional enhanced biological phosphorus removal (EBPR) systems with performance implications

被引:1
|
作者
Li, Guangyu [1 ,2 ]
Srinivasan, Varun [2 ]
Tooker, Nicholas B. [2 ]
Wang, Dongqi [2 ,3 ]
Yan, Yuan [1 ]
Onnis-Hayden, Annalisa [2 ]
Gu, April Z. [1 ,2 ]
机构
[1] Cornell Univ, Sch Civil & Environm Engn, Ithaca, NY 14850 USA
[2] Northeastern Univ, Dept Civil Environm Engn, Boston, MA USA
[3] Xian Univ Technol, Sch Water Resources & Hydroelect Engn, Dept Municipal & Environm Engn, Xian, Shaanxi, Peoples R China
关键词
16S rRNA sequencing; PAO; EBPR; S2EBPR; Oligotyping; Microdiversity; WATER TREATMENT PLANTS; CANDIDATUS-ACCUMULIBACTER; BACTERIA; IDENTIFICATION; COMMUNITIES; ABUNDANCE; BIAS;
D O I
10.1016/j.watres.2024.122280
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Polyphosphate Accumulating Organisms (PAOs) microdiversity is a key factor to elucidate the mechanisms involved in the side-stream enhanced biological phosphorus removal (S2EBPR) systems, which has been shown to improve the process stability over conventional EBPR. However, fast, effective and cost-efficient methods to resolve PAO microdiversity in real-world activate sludge samples is still in absence. In this study, we applied oligotyping analysis following the regular 16S rRNA gene amplicon sequencing standard operation pipeline (SOP) to resolve subgenus-level PAO oligotypes, which cannot be achieved using traditional 16S rRNA sequencing SOP. The identified oligotype profiles of PAO-containing genera Ca. Accumulibacter, Tetrasphaera and Comamonas showed distinguished community-level differences across 12 water resource recovery facilities (WRRFs), which would not be revealed at the genus level. The WRRF-level differences were observed larger than the temporal differences in the same WRRF, indicating intrinsic sub-genus level microdiversity fingerprint between EBPR/S2EBPR systems. The identified oligotypes can be associated with known PAO clades phylogenetically, suggesting that oligotyping can suffice as a fast and cost-efficient approach for PAO microdiversity profiling. In addition, network analysis can be used to identify coexistence patterns between oligotypes with respect to EBPR/S2EBPR configurations and performance, enabling more detailed analysis between EBPR system performance and PAOs microdiversity. Correlation analyses between oligotype profiles and key EBPR performance parameters revealed potential different biological functional traits among these PAO species with Premoval performance implications.
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页数:11
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