Linking bacterial population dynamics and nutrient removal in the granular sludge biofilm ecosystem engineered for wastewater treatment. Issue 3 (2nd June 2014)

• Record Type: Journal Article
• Authors: Weissbrodt, David G.; Shani, Noam; Holliger, Christof
• Is Part Of: FEMS microbiology ecology. Volume 88:Issue 3(2014)
• Page Start: 579
• Page End: 595
• Publication Date: 2014-06-02
• Subjects: biological wastewater treatment -- aerobic granular sludge -- bacterial community structure -- PyroTRF-ID methodology -- multivariate numerical analyses; Microbial ecology -- Periodicals; Microbiology -- Periodicals; 579.17
• DOI: 10.1111/1574-6941.12326
• Languages: English
• ISSNs: 0168-6496

Abstract

Abstract: Intensive nutrient removal from wastewater in anaerobic–aerobic systems using granular sludge should rely on optimal balances at biofilm and microbial ecology levels. This study targets the impacts of reactor characteristics and fluctuations in operation conditions on nutrient removal and bacterial community structures by means of microbial and numerical ecology methods. The dynamics of both predominant and accompanying populations were investigated with high resolution on temporal and phylogenetic scales in two reactors operated during 5 months with synthetic wastewater. Multivariate analyses highlighted significant correlations from process to microbial scales in the first reactor, whereas nitrification and phosphorus removal might have been affected by oxygen mass transfer limitations with no impact at population level in the second system. The bacterial community continuum of the first reactor was composed of two major antagonistic Accumulibacter - Nitrosomonas - Nitrospira and Competibacter - Cytophaga - Intrasporangiaceae clusters that prevailed under conditions leading to efficient P- (> 95%) and N-removal (> 65%) and altered P- (< 90%) and N-removal (< 60%), respectively. A third cluster independent of performances was dominated by Xanthomonadaceae affiliates that were on average more abundant at 25 °C (31 ± 5%) than at 20 °C (22 ± 4%). Starting from the physiological traits of the numerous phylotypes identified, a conceptual model is proposed as a base for functional analysis in the granular sludge microbiome and for future investigations with complex real wastewater. Abstract : Microbial and numerical ecology approaches were efficient to identify the structure of the bacterial ecosystem of granular sludge biofilms and to link population dynamics with nutrient removal with high resolution.