Pyrosequencing analysis of bacterial communities in drinking water biofilters receiving influents of different types

Liao, Xiaobin; Chen, Chao; Wang, Zhao; Wan, Rui; Chang, Chih‐Hsiang; Zhang, Xiaojian; Xie, Shuguang

doi:10.1016/j.procbio.2013.02.033

Cited by 65 publications

(30 citation statements)

References 28 publications

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“…The dominance of Proteobacteria has been found in natural wetlands (Ansola et al 2014;Liu et al 2014b), wastewater CW systems (Ansola et al 2014;Bouali et al 2014;Huang et al 2013), and biofilters treating surface water (Feng et al 2013a;Liao et al 2013b). Moreover, a previous study using DGGE analysis also suggested the dominance of proteobacterial organisms in a large-scale CW system Fig.…”

Section: Bacterial Community Structurementioning

confidence: 88%

“…Therefore, the dominance of microorganisms from a variety of bacterial genera might play important roles in the removal of organic compounds in the three CV systems and thus contribute to the effective reduction of DOC in polluted river water. Moreover, Nitrospira species (Nitrospirae) are known for their Table 2 Comparison of percentage of the sequences affiliated with the frequently identified genera to the total number of sequences from wetland samples Taxon WA1 WA2 WA3 WA4 WB1 WB2 WB3 WB4 WC1 WC2 WC3 WC4 Alphaproteobacteria (Feng et al 2013b;Liao et al 2013b).…”

Section: Bacterial Generamentioning

confidence: 99%

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Influence of substrate type on microbial community structure in vertical-flow constructed wetland treating polluted river water

Guan

Yin²,

et al. 2015

Environ Sci Pollut Res

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Microorganisms attached on the surfaces of substrate materials in constructed wetland play crucial roles in the removal of organic and inorganic pollutants. However, the impact of substrate material on wetland microbial community structure remains unclear. Moreover, little is known about microbial community in constructed wetland purifying polluted surface water. In this study, Illumina high-throughput sequencing was applied to profile the spatial variation of microbial communities in three pilot-scale surface water constructed wetlands with different substrate materials (sand, zeolite, and gravel). Bacterial community diversity and structure showed remarkable spatial variation in both sand and zeolite wetland systems, but changed slightly in gravel wetland system. Bacterial community was found to be significantly influenced by wetland substrate type. A number of bacterial groups were detected in wetland systems, including Proteobacteria, Chloroflexi, Bacteroidetes, Acidobacteria, Cyanobacteria, Nitrospirae, Planctomycetes, Actinobacteria, Firmicutes, Chlorobi, Spirochaetae, Gemmatimonadetes, Deferribacteres, OP8, WS3, TA06, and OP3, while Proteobacteria (accounting for 29.1-62.3 %), mainly composed of Alpha-, Beta-, Gamma-, and Deltaproteobacteria, showed the dominance and might contribute to the effective reduction of organic pollutants. In addition, Nitrospira-like microorganisms were abundant in surface water constructed wetlands.

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Section: Bacterial Community Structurementioning

confidence: 88%

Section: Bacterial Generamentioning

confidence: 99%

Influence of substrate type on microbial community structure in vertical-flow constructed wetland treating polluted river water

Guan

Yin²,

et al. 2015

Environ Sci Pollut Res

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“…Therefore, hydrogenotrophic denitrification has obtained rapid development recently (Karanasios et al 2010). 454-pyrosequencing known as one of the nextgeneration sequencing technology has been applied to precisely analyze complicated microbial communities in different environments, including biogas plant , wastewater treatment plants (WWTPs) , forest soils (Buee et al 2009), nitrification bioreactors (Ye et al 2011), activated sludge (Zhang et al 2012), biofilters (Liao et al 2013b), and biofilms (Luo et al 2013). The novel 454-pyrosequencing was more versatile than traditional culture-dependent methods.…”

Section: Introductionmentioning

confidence: 99%

Microbial community in a hydrogenotrophic denitrification reactor based on pyrosequencing

Wang

Chen

et al. 2015

Appl Microbiol Biotechnol

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Effects of some key factors on hydrogenotrophic denitrification were investigated in lab-scale bioreactors. Results indicated that optimum biomass loading, pH value, temperature, nitrate loading, and C/N ratio in this study were optical density at 600 nm (OD 600 ) of 0.173, 6.0∼7.0, 35°C, 105 mg L −1 , and 30, respectively. To obtain a better understanding of microbial community in the bioreactors, the 454-pyrosequencing technology was used to characterize the 16S ribosomal RNA (16S rRNA) gene of bacteria in selected samples Y1 and Y2, in which a total of 62,559 effective sequences (36,445 in Y1 and 26,114 in Y2) were obtained. The taxonomic complexities in two samples were compared at phylum/ class/genus levels. In total, 41 bacterial phyla, 43 bacterial classes, and 312 genera were detected, where phylum Firmicutes, class Clostridia were most abundant. Genus Proteiniclasticum was predominant among the top 100 genera. This work aims to add some novel insights into hydrogenotrophic denitrification process and its microbial community structures in bioreactors.

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“…N-Nitrosamines are a class of highly carcinogenic NDBPs and are commonly detected in drinking water. Drinking water biofilters have been widely used to remove natural and anthropogenic organic matter, inorganic nitrogen compounds and particulates (Feng et al 2013a;Liao et al 2013a;Liu et al 2012a). Biofiltration might be an effective way to minimize the formation of N-nitrosamines in drinking water (Kristiana et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Operational performance, biomass and microbial community structure: impacts of backwashing on drinking water biofilter

Liao

Chen

Zhang

et al. 2014

Environ Sci Pollut Res

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Biofiltration has been widely used to reduce organic matter and control the formation of disinfection by-products in drinking water. Backwashing might affect the biofilters' performance and the attached microbiota on filter medium. In this study, the impacts of backwashing on the removal of dissolved organic carbon (DOC), dissolved organic nitrogen (DON) and N-nitrosamine precursors by a pilot-scale biological activated carbon (BAC) filtration system were investigated. The impacts of backwashing on biomass and microbial community structure of BAC biofilm were also investigated. Phospholipid fatty acid (PLFA) analysis showed that backwashing reduced nearly half of the attached biomass on granular activated carbon (GAC) particles, followed by a recovery to the pre-backwashing biomass concentration in 2 days after backwashing. Backwashing was found to transitionally improve the removal of DOC, DON and N-nitrosamine precursors. MiSeq sequencing analysis revealed that backwashing had a strong impact on the bacterial diversity and community structure of BAC biofilm, but they could gradually recover with the operating time after backwashing. Phylum Proteobacteria was the largest bacterial group in BAC biofilm. Microorganisms from genera Bradyrhizobium, Hyphomicrobium, Microcystis and Sphingobium might contribute to the effective removal of nitrogenous organic compounds by drinking water biofilter. This work could add some new insights towards the operation of drinking water biofilters and the biological removal of organic matter.

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Pyrosequencing analysis of bacterial communities in drinking water biofilters receiving influents of different types

Cited by 65 publications

References 28 publications

Influence of substrate type on microbial community structure in vertical-flow constructed wetland treating polluted river water

Influence of substrate type on microbial community structure in vertical-flow constructed wetland treating polluted river water

Microbial community in a hydrogenotrophic denitrification reactor based on pyrosequencing

Operational performance, biomass and microbial community structure: impacts of backwashing on drinking water biofilter

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