DOI: 10.1016/j.watres.2018.07.051
Scopus记录号: 2-s2.0-85050310357
论文题名: Towards an eDNA metabarcode-based performance indicator for full-scale municipal wastewater treatment plants
作者: Stoeck T. ; Pan H. ; Dully V. ; Forster D. ; Jung T.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 144 起始页码: 322
结束页码: 331
语种: 英语
英文关键词: Bacterial communities
; Bioindicator
; Biomonitoring
; Environmental sequencing
; Plants
; Protistan communities
; Waste water treatment
Scopus关键词: Activated sludge process
; Bacteria
; Benchmarking
; Biomarkers
; Gene encoding
; RNA
; Sewage pumping plants
; Toxicity
; Waste disposal
; Wastewater
; Wastewater treatment
; Water quality
; Water supply
; Water treatment
; Water treatment plants
; Bacterial community
; Biomonitoring
; Environmental sequencing
; Plants
; Protistan communities
; Effluents
; environmental marker
; small subunit ribosomal RNA
; activated sludge
; bioindicator
; biomonitoring
; DNA
; effluent
; eukaryote
; genetic analysis
; microbial community
; performance assessment
; protist
; sludge
; wastewater treatment plant
; activated sludge
; Alveolata
; Article
; Bacteroidetes
; chemical oxygen demand
; Chrysophyta
; microbial community
; nonhuman
; priority journal
; Proteobacteria
; protist
; Pseudomonadales
; Rhodocyclales
; stramenopile
; Verrucomicrobia
; waste water treatment plant
; Germany
; Bacteria (microorganisms)
; Eukaryota
; Protista
英文摘要: Knowledge-driven management for wastewater treatment plant (WWTP) performance becomes increasingly important considering the globally growing production of wastewater and the rising demand of clean water supply. Even though the potential of microbial organisms (bacteria and protists) as bioindicators for WWTP performance is well known, it is far from being fully exploited for routine monitoring programs. Therefore, we here used massive sequencing of environmental (e)DNA metabarcodes from bacterial (V3-V4 region of the SSU rRNA gene) and eukaryote (V9 region of the SSU rRNA gene) communities in 21 activated sludge samples obtained from full-scale municipal WWTPs in Germany. Microbial community patterns were compared to standard WWTP operating parameters and two traditionally used WWTP performance indicators (Sludge Biotic Index and Sludge Index). Both indices showed low concordance and hardly correlated with chemical WWTP performance parameters nor did they correlate with microbial community structures. In contrast, microbial community profiles significantly correlated with WWTP performance parameters and operating conditions of the plants under study. Therefore, eDNA metabarcode profiles of whole microbial communities indicate the performance of WWTP and can provide useful information for management strategies. We here suggest a strategy for the development of an eDNA metabarcode based bioindicator system, which can be implemented in future standard monitoring programs for WWTP performance and effluent quality. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112492
Appears in Collections: 气候减缓与适应
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作者单位: University of Kaiserslautern, Ecology Group, Kaiserslautern, D-67663, Germany; Stadtentwässerung Kaiserslautern, Kaiserslautern, D-67659, Germany; Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Shanghai, 201306, China
Recommended Citation:
Stoeck T.,Pan H.,Dully V.,et al. Towards an eDNA metabarcode-based performance indicator for full-scale municipal wastewater treatment plants[J]. Water Research,2018-01-01,144