Abstract:Current knowledge of the microbial communities within biological wastewater treatment reactors is incomplete due to limitations of traditional culture-based techniques and despite the emergence of recently applied molecular techniques. Here we demonstrate the application of high-density microarrays targeting universal 16S rRNA genes to evaluate microbial community composition in five biological wastewater treatment reactors in China and the United States. Results suggest a surprisingly consistent composition o… Show more
“…Except for the four Hong Kong sludge samples, which had the a-subdivision as the most dominant class within Proteobacteria, in all other 11 samples, the b-subdivision was the most dominant Proteobacteria, followed by a-, g-and d-subdivisions. This is different from results of a study using microarray (Xia et al, 2010), which showed that a-subdivision was the most abundant of the Proteobacteria. However, the findings are similar to the results of another study about soil bacteria using pyrosequencing (Roesch et al, 2007), which demonstrated that in most soils, the b-subdivision was the most abundant one within the Proteobacteria.…”
Section: Diversity Of Microbial Communitiescontrasting
confidence: 99%
“…The other dominant phyla were Firmicutes (1.4-14.6%, averaging at 8.1%), Bacteroidetes (2.7-15.6%, averaging at 7.0%) and Actinobacteria (1.3-14.0%, averaging at 6.5%). Similar to a few previous studies on AS using microarray (Xia et al, 2010) and cloning (Snaidr et al, 1997), these four groups were dominant (56-86%) in bacterial communities of the 15 AS samples in this study, followed by a few other major (average abundance 41%) phyla, including Verrucomicrobia (4.2%), Chloroflexi (3.4%), Acidobacteria (3.0%) and Planctomycetes (2.4%). A few phyla, including TM7, Thermotogae, OD1, Spirochaetes, WS3, Nitrospira and Synergistetes, were only the major (abundance 41%) phyla in one of the 15 samples.…”
Section: Diversity Of Microbial Communitiessupporting
Activated sludge (AS) contains highly complex microbial communities. In this study, PCR-based 454 pyrosequencing was applied to investigate the bacterial communities of AS samples from 14 sewage treatment plants of Asia (mainland China, Hong Kong, and Singapore), and North America (Canada and the United States). A total of 259 K effective sequences of 16S rRNA gene V4 region were obtained from these AS samples. These sequences revealed huge amount of operational taxonomic units (OTUs) in AS, that is, 1183-3567 OTUs in a sludge sample, at 3% cutoff level and sequencing depth of 16 489 sequences. Clear geographical differences among the AS samples from Asia and North America were revealed by (1) cluster analyses based on abundances of OTUs or the genus/family/order assigned by Ribosomal Database Project (RDP) and (2) the principal coordinate analyses based on OTUs abundances, RDP taxa abundances and UniFrac of OTUs and their distances. In addition to certain unique bacterial populations in each AS sample, some genera were dominant, and core populations shared by multiple samples, including two commonly reported genera of Zoogloea and Dechloromonas, three genera not frequently reported (i.e., Prosthecobacter, Caldilinea and Tricoccus) and three genera not well described so far (i.e., Gp4 and Gp6 in Acidobacteria and Subdivision3 genera incertae sedis of Verrucomicrobia). Pyrosequencing analyses of multiple AS samples in this study also revealed the minority populations that are hard to be explored by traditional molecular methods and showed that a large proportion of sequences could not be assigned to taxonomic affiliations even at the phylum/class levels.
“…Except for the four Hong Kong sludge samples, which had the a-subdivision as the most dominant class within Proteobacteria, in all other 11 samples, the b-subdivision was the most dominant Proteobacteria, followed by a-, g-and d-subdivisions. This is different from results of a study using microarray (Xia et al, 2010), which showed that a-subdivision was the most abundant of the Proteobacteria. However, the findings are similar to the results of another study about soil bacteria using pyrosequencing (Roesch et al, 2007), which demonstrated that in most soils, the b-subdivision was the most abundant one within the Proteobacteria.…”
Section: Diversity Of Microbial Communitiescontrasting
confidence: 99%
“…The other dominant phyla were Firmicutes (1.4-14.6%, averaging at 8.1%), Bacteroidetes (2.7-15.6%, averaging at 7.0%) and Actinobacteria (1.3-14.0%, averaging at 6.5%). Similar to a few previous studies on AS using microarray (Xia et al, 2010) and cloning (Snaidr et al, 1997), these four groups were dominant (56-86%) in bacterial communities of the 15 AS samples in this study, followed by a few other major (average abundance 41%) phyla, including Verrucomicrobia (4.2%), Chloroflexi (3.4%), Acidobacteria (3.0%) and Planctomycetes (2.4%). A few phyla, including TM7, Thermotogae, OD1, Spirochaetes, WS3, Nitrospira and Synergistetes, were only the major (abundance 41%) phyla in one of the 15 samples.…”
Section: Diversity Of Microbial Communitiessupporting
Activated sludge (AS) contains highly complex microbial communities. In this study, PCR-based 454 pyrosequencing was applied to investigate the bacterial communities of AS samples from 14 sewage treatment plants of Asia (mainland China, Hong Kong, and Singapore), and North America (Canada and the United States). A total of 259 K effective sequences of 16S rRNA gene V4 region were obtained from these AS samples. These sequences revealed huge amount of operational taxonomic units (OTUs) in AS, that is, 1183-3567 OTUs in a sludge sample, at 3% cutoff level and sequencing depth of 16 489 sequences. Clear geographical differences among the AS samples from Asia and North America were revealed by (1) cluster analyses based on abundances of OTUs or the genus/family/order assigned by Ribosomal Database Project (RDP) and (2) the principal coordinate analyses based on OTUs abundances, RDP taxa abundances and UniFrac of OTUs and their distances. In addition to certain unique bacterial populations in each AS sample, some genera were dominant, and core populations shared by multiple samples, including two commonly reported genera of Zoogloea and Dechloromonas, three genera not frequently reported (i.e., Prosthecobacter, Caldilinea and Tricoccus) and three genera not well described so far (i.e., Gp4 and Gp6 in Acidobacteria and Subdivision3 genera incertae sedis of Verrucomicrobia). Pyrosequencing analyses of multiple AS samples in this study also revealed the minority populations that are hard to be explored by traditional molecular methods and showed that a large proportion of sequences could not be assigned to taxonomic affiliations even at the phylum/class levels.
“…They have suggested that microbial populations showed a surprisingly consistent composition within wastewater treatment systems at different geographic locations (Xia et al 2010;Wang et al 2012a) and indicated higher microbial similarities (higher Jaccard's similarity coefficients) of the WWTPs in the same city (Wang et al 2012a). Geographic location has been reported to be the most important factor shaping bacterial communities especially nonfecal groups in untreated sewage (Shanks et al 2013).…”
Section: Similarity Of Microbial Communitiesmentioning
confidence: 99%
“…Despite the microbiological methods used, plenty of the studies on microbial communities of activated sludge bioreactors have been conducted to profile taxonomic information based on 16S rRNA genes, using technical approaches of clone library (Wells et al 2011;Yang et al 2011), denaturing gradient gel electrophoresis (DGGE) (Yang et al 2011), terminal restriction fragment length polymorphism (T-RELP) (Wells et al 2011;Yang et al 2011), fluorescence in situ hybridization (FISH) (Mielczarek et al 2012(Mielczarek et al , 2013, Illumina (Albertsen et al 2012), 454-pyrosequencing (Hu et al 2012;Wang et al 2012a), and PhyloChips (Xia et al 2010). However, 16S rRNA gene-based ways may not be efficient in distinguishing some closely related but ecologically distinct groups of microorganisms as a consequence of the low evolutionary rate of 16S rRNA genes (Palys et al 1997).…”
Understanding microbial community composition is thought to be crucial for improving process functioning and stabilities of full-scale activated sludge reactors in wastewater treatment plants (WWTPs). However, functional gene compositions of microbial communities within them have not been clearly elucidated. To gain a complete picture of microbial community, in this study, GeoChip 4.2 was used to profile the overall functional genes of three full-scale activated sludge bioreactors, the 16S rRNA gene diversities of which had been unveiled by 454-pyrosequencing in our previous investigation. Triplicate activated sludge samples from each system were analyzed, with the detection of 38,507 to 40,654 functional genes. A high similarity of 77.3-81.2 % shared functional genes was noted among the nine samples, verified by the high 16S rRNA gene similarity with shared operational taxonomic units (OTUs) constituting 66.4-70.0 % of the detected sequences in each system. Correlation analyses showed that the abundances of a wide array of functional genes were associated with system performances. For example, the abundances of carbon degradation genes were strongly correlated to chemical oxygen demand (COD) removal efficiencies (r=0.8697, P<0.01). Lastly, we found that sludge retention time (SRT), influent total nitrogen concentrations (TN inf), and dissolved oxygen (DO) concentrations were key environmental factors shaping the overall functional genes. Together, the results revealed vast functional gene diversity and some links between the functional gene compositions and microbe-mediated processes.
“…Three oligonucleotide probes complementary to the 16S rRNAs of Z. ramigera ATCC 19544 were designed to detect the bacterial cells that accumulated in the typical branched gelatinous matrices, the so-called Zoogloea fingers (Wagner et al, 1993;Rossello-Mora et al, 1995) and it was shown that Zoogloea cells accounted for up to approximately 10% of the total cell numbers. The 16S rRNA gene clone library sequencing showed that Proteobacteria was the largest phylum in the activated sludge (Snaidr et al, 1997) and the PhyloChip microarray analyses further revealed that Proteobacteria was the predominant phylum, followed by Firmicutes, Actinobacteria and Bacteroidetes (Xia et al, 2010). As revealed by high throughput 454 pyrosequencing of amplicons, Zoogloea was one of the dominant genera and existed in high abundance (1.38e11.1%) in most of the AS samples from the municipal sewage treatment plants of mainland China, Hong Kong, Singapore, Canada, and United States (Zhang et al, 2012;Wang et al, 2012).…”
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