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Applied and Environmental Microbiology, September 2007, p. 5865-5874, Vol. 73, No. 18
0099-2240/07/$08.00+0 doi:10.1128/AEM.01207-07
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

Department of Civil and Environmental Engineering, University of Wisconsin—Madison, Madison, Wisconsin 53706
Received 30 May 2007/ Accepted 23 July 2007
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Previous studies of the occurrence and phylogeny of "Candidatus Accumulibacter" in EBPR systems primarily relied on the use of 16S rRNA-based methods. A bacterial species defined using the most commonly cited cutoff (
97% 16S rRNA gene sequence identity) (21) may sometimes contain microorganisms with substantial phenotypic and genetic differences. Although Stackebrandt and Ebers recommended 98.7 to 99% as the new taxonomic parameter to replace the old value of 97% (20), PCR and sequencing errors make it difficult to identify whether two microorganisms are truly from two different species by using this new cutoff. Cohan has proposed the "ecotype" concept and suggested that a typical named species contains many ecotypes, with each ecotype comprising a set of strains occupying the same ecological niche (2). Compared with a traditional species concept or definition, ecotypes are expected to be more biologically meaningful for studying microbial ecology. In the case of "Candidatus Accumulibacter," some 16S rRNA sequences previously recovered from geographically and temporally distinct EBPR systems were nearly identical (4). We asked the question "Do these sequences represent essentially identical Candidatus Accumulibacter populations or do they represent different ecotypes that have genotypic and/or phenotypic differences among populations and/or across EBPR systems?" A more divergent genetic locus than the 16S rRNA gene was required to study such fine-scale differences among "Candidatus Accumulibacter" populations.
Poly(P) kinase 1 (PPK1) (1) and poly(P) kinase 2 (PPK2) (28) are two different enzymes that have been identified to catalyze poly(P) synthesis in model organisms such as Escherichia coli. PPK1 catalyzes the reversible reaction of poly(P) formation from ATP, with the forward reaction preferred for synthesis of poly(P). In contrast, PPK2, an enzyme smaller than PPK1, operates in reverse to generate GTP from poly(P) and GDP (28). Metagenomic analysis of "Candidatus Accumulibacter"-enriched laboratory-scale reactors revealed that "Candidatus Accumulibacter" possessed genes encoding PPK1 and PPK2, and both genes were present as a single copy (4). These two enzymes may be important in poly(P) transformation by "Candidatus Accumulibacter" during EBPR. Previously, McMahon and coworkers designed degenerate PCR primers to retrieve ppk1 fragments from a "Candidatus Accumulibacter"-enriched laboratory-scale EBPR reactor (12) and several full-scale WWTPs (13), and a ppk1 primer set specifically targeting "Candidatus Accumulibacter" was further designed and validated (13). Because ppk1 appears to be evolving faster than 16S rRNA genes in "Candidatus Accumulibacter" (V. Kunin, S. He, F. Warnecke, S. B. Peterson, H. G. Martin, M. Haynes, N. Ivanova, L. L. Blackall, M. Breitbart, F. Rohwer, K. D. McMahon, and P. Hugenholtz, submitted for publication), ppk1 may provide enough resolution to observe fine-scale differences within this lineage (13). Thus, one objective of this study was to demonstrate the use of ppk1 as a genetic marker for studying the more resolved population structure of "Candidatus Accumulibacter" in different EBPR systems. For this purpose, "Candidatus Accumulibacter" 16S rRNA and ppk1 gene fragments were retrieved from both laboratory-scale and full-scale EBPR systems to reconstruct "Candidatus Accumulibacter" phylogenies. Quantitative real-time PCR (qPCR) methods were then developed to measure the abundances and relative distributions of "Candidatus Accumulibacter" clades to uncover the fine-scale population structure and provide more information about the ecology of this biotechnologically important group of organisms.
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Activated sludge samples were also collected from nine full-scale EBPR facilities (CC, OL, SJ, NAN, VIR, DUR, NS, LV1, and LV2) and two conventional activated sludge plants not configured to perform EBPR (EB and OSK). Some important characteristics of these treatment plants are summarized in Table 1. More-detailed treatment plant configuration and performance information is available elsewhere (6, 13).
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TABLE 1. Treatment plant characteristics at time of samplinga
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Genomic DNA extraction.
Genomic DNA was extracted by a modified enzyme digestion method followed by phenol-chloroform purification and isopropanol precipitation (18). DNA was further purified by precipitation with sodium acetate and ethanol to remove RNA contamination and other PCR-inhibitory materials. DNA integrity was checked by agarose gel electrophoresis, and purity was evaluated by spectrometry at 260 nm and 280 nm. DNA concentrations were measured by a PicoGreen double-stranded-DNA assay kit (Invitrogen, Carlsbad, CA) on a Gemini SpectraMax spectrofluorometer (Bucher Biotech, Basel, Switzerland).
16S rRNA gene retrieval and phylogenetic analysis.
Retrieval of 16S rRNA genes from "Candidatus Accumulibacter" was described elsewhere (5). Briefly, the 16S and internally transcribed spacer region of the rRNA operon was amplified from community genomic DNA from samples UWMH, NAN, VIR, DUR, LV1, and LV2 by using bacterium-specific 8f and 23Sr primers (16). Ninety-six clones from each library were picked randomly. For sample UWMH, unique clones were determined by restriction fragment length polymorphism (RFLP). For the other samples, "Candidatus Accumulibacter"-like clones were identified by screening with real-time PCR (24), using a mixture of forward primers (RHC 439f, PAO 651f, and PAO 846bf) (3, 7, 29) and 1492r (16). The sequences were grouped into operational taxonomic units (OTUs) based on 99% DNA sequence identity within each library. The sequences were aligned with the GCG version 11.1 software package (Accelrys, CA), and a mask was generated using a 33% majority rule. MrBayes version 3.1.2 was used for Bayesian analyses (8) with a general-time-reversible model with gamma-distributed rate variation. A total of 3,000,000 generations were run, with sampling every 100 generations, to create 30,000 trees. The consensus tree was generated by setting the burn-in value to discard trees generated before the chain reached stabilization.
ppk1 clone library construction and phylogenetic analysis.
Amplification of "Candidatus Accumulibacter" ppk1 fragments was carried out on genomic DNA extracted from samples UWMH, UWMS, NAN, VIR, DUR, NS, LV1, and LV2. The 25-µl reaction mixtures contained 1x PCR buffer II, 3.0 mM MgCl2, 200 µM of each deoxynucleoside triphosphate, 400 nM of each forward and reverse primer (Acc-ppk1-254f and Acc-ppk1-1376r) (13), 5% of dimethyl sulfoxide, and 0.05 U/µl of AmpliTaq Gold DNA polymerase (Applied Biosystems, Foster City, CA). The PCR was conducted on an iCycler (Bio-Rad, Hercules, CA), with the program consisting of an initial 10-min denaturation step at 95°C, followed by 25 cycles of 95°C for 45 s, 68°C for 1 min, and 72°C for 2 min, and then a final extension at 72°C for 5 min. To minimize the artifacts from PCR, a reconditioning step was conducted by adding 2.5 µl of the PCR product resulting from the amplification described above to 22.5 µl of a fresh reaction mixture with the same composition and five cycles were conducted using the parameters specified above (22).
The amplified ppk1 fragments were then purified from agarose gels and cloned using a TOPO TA cloning kit (Invitrogen, CA) according to the manufacturer's instructions. From each library (except UWMH and UWMS, from which 96 clones were picked), 30 to 45 clones were randomly picked and subsequently screened by RFLP analysis with MspI (Promega, Madison, WI) to identify unique sequence types. Representatives from each unique genotype defined by RFLP patterns were sequenced, and these sequences were further grouped into OTUs based on 99% identity of DNA sequences within each library. Sequence alignment and phylogenetic tree reconstruction were conducted as described above.
Primer design.
Primer sets were designed to exclusively target the ppk1 gene of each "Candidatus Accumulibacter" clade (Table 2). Specificity was checked against sequences available in GenBank. For accurate quantification using qPCR, primers were designed to avoid long amplicon length and degenerate bases. Specificity was ensured for both forward and reverse primers for all clades except IIC. OTU NS D3 in clade IIC was only distantly related to other sequences in this clade and had sequence regions similar to those in other clades, making it difficult to design a primer set targeting the whole clade without using degenerate bases. Primer Acc-ppk1-460r combined with general "Candidatus Accumulibacter" ppk1 primer Acc-ppk1-254f (13) can target the whole clade, but it has only one mismatch with sequences in clade I. Therefore, primer Acc-ppk1-1123f was also designed to combine with general "Candidatus Accumulibacter" ppk1 primer Acc-ppk1-1376r (13) to target the clade to the exclusion of OTU NS D3. Qualitative PCR was performed on all samples, using all the ppk1 primer sets designed in this study. Single bands on an agarose gel at the expected amplicon sizes were obtained for all the positive results (data not shown), indicating that the amplification was from ppk1 genes.
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TABLE 2. Primer information, qPCR conditions, and performancea
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qPCR conditions.
qPCR was conducted on an iCycler (Bio-Rad, Hercules, CA) using iQ SYBR green supermix (Bio-Rad, Hercules, CA) with a total reaction volume of 25 µl. All qPCR programs consisted of an initial 3-min denaturation at 95°C, followed by 45 cycles of denaturation at 94°C for 30 s, annealing for 45 s, and extension at 72°C for 30 s. The annealing temperature, primer concentration, and denaturant addition were optimized for PCR efficiency and specificity (Table 2).
Six-point calibration curves for qPCR were produced by 10-fold serial dilution of positive controls in duplicate within each assay, at 103 to 108 target copies per reaction. Controls for ppk1- or 16S rRNA-targeted PCR were generated from appropriate clones from ppk1 or 16S plus internal transcribed spacer rRNA clone libraries. Briefly, plasmid was extracted from the clones by using a QIAGEN plasmid mini kit (QIAGEN, Valencia, CA) and linearized with restriction enzyme ScaI digestion (Promega, Madison, WI). The completion of restriction digestion was checked by gel electrophoresis. The plasmid was purified with a QIAquick PCR purification kit (QIAGEN), and mass concentration was determined by the PicoGreen double-stranded-DNA quantification kit (Invitrogen, Carlsbad, CA). Copy number was calculated based on the mass concentration and the average molecular weight of the plasmid.
For all unknown samples, 5 ng of community-derived genomic DNA was added as the template. In each assay, a no-template control was included to check for contamination and primer-dimer formation. To avoid nonspecific cross-detection, a negative control (a plasmid containing a nontarget ppk1 fragment with the fewest mismatches to the primer set) was also included and applied at 106 copies per reaction.
Data analysis.
Quantification was performed using iCycler iQ optical system software version 3.0a. We found that the quantifications were slightly different when the threshold was set at different relative fluorescence unit values. Therefore, for all assays, the cycle threshold was determined by setting the threshold at a relative fluorescence unit value of 50, where the fluorescence was above the background noise and in early exponential phase. PCR amplification efficiency was estimated from the slope of the standard curve by the formula 10–1/slope – 1. To account for intra- and inter-qPCR assay variation, both standard curve and samples were run on triplicate plates, with duplicate reactions within each plate. Standard deviations were calculated from the averages for the triplicate runs.
Descriptors of "Candidatus Accumulibacter" lineage diversity.
Measurements of clade diversity and evenness within the "Candidatus Accumulibacter" lineage were calculated for individual samples by using the Shannon index (H = –
Pi ln Pi) (19) and the Pielou regularity index (R = H/lnS) (17), respectively. The relative abundance of each clade as determined by qPCR (normalized to total "Candidatus Accumulibacter" ppk1 abundance) was used as a proxy for relative species abundance (Pi), and the number of clades that were detected by qPCR was used as the richness value (S) in the above equations.
Nucleotide sequence accession numbers.
The GenBank accession numbers for the nucleotide sequences determined in this study are EF565147 to EF565162 and EF559317 to EF559355.
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FIG. 1. Unrooted phylogenetic tree for "Candidatus Accumulibacter"-related 16S rRNA sequences. A total of 1,022 bp (E. coli 16S rRNA positions 439 to 1459) were included for phylogenetic analysis. The posterior probabilities are shown next to the nodes. The first number in the second set of parentheses indicates the number of clones belonging to this OTU, and the second number indicates the total number of "Candidatus Accumulibacter" clones in that sample. The star indicates the OTU with the highest clone frequency in that library. Sequence names starting with "UCT" were recovered from plant NS in the study by Zilles et al. (29). The scale bar indicates the number of changes per site.
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FIG. 2. Phylogram indicating inferred relatedness of ppk1 genes from the "Candidatus Accumulibacter" lineage. A total of 1,080 bp ("Candidatus Accumulibacter" ppk1 [GenBank accession number AF502200] positions 265 to 1344) were included for Bayesian analysis. The posterior probabilities are shown next to the nodes. The first number in the second set of parentheses indicates the number of clones belonging to this OTU, and the second number is the total number of "Candidatus Accumulibacter" ppk1 clones retrieved from that sample. The star indicates the OTU with the highest clone frequency in that library. Sequences from LV1 and LV2 are combined as OTU LV because all ppk1 sequences from LV2 were >99% identical to those from LV1. The scale bar indicates the number of changes per site.
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qPCR specificity and accuracy.
For accurate quantification by qPCR, high specificity and good amplification efficiency are necessary, as is an absence of inhibition by the DNA template. To avoid nonspecific cross-detection of ppk1 from other "Candidatus Accumulibacter" clades, we included an appropriate negative control for each clade-specific primer set. This control was a plasmid containing the nontarget "Candidatus Accumulibacter" ppk1 fragment that had the fewest mismatches with the forward and reverse primers (Table 2). The negative control was applied at 106 copies per reaction. The annealing temperature, primer concentration, and denaturant addition were tested in order to achieve high PCR efficiency and specificity. We found that increasing PCR stringency increased specificity, as indicated by decreased amplification from the negative control, but it also resulted in lower PCR efficiency. During qPCR, the reaction efficiency should range from 90% to 110% for accurate quantification. Therefore, we chose the reaction conditions providing the best specificity when the PCR efficiency was
90%. Specificity was controlled by setting a "specific fractioning limit," which we defined as the specific detection limit for the fraction of a "Candidatus Accumulibacter" clade relative to total "Candidatus Accumulibacter" bacteria. This limit was determined by dividing the qPCR "quantified" ppk1 copy number in the negative control due to nonspecific amplification by the actual ppk1 copy number in the negative control (106). This gave an estimation of the chance that a nontarget template would be nonspecifically amplified if it were present in very high abundance. Therefore, when a measured relative clade abundance was lower than the specific fractioning limit, we could not distinguish whether the clade was truly present, albeit at a low abundance, or if the PCR primers were nonspecifically amplifying a related nontarget. This limit was conservative because it assumes that the nontarget with the fewest mismatches was always present in the sample. For most primer sets, the specific fractioning limit was
1% (Table 2). Therefore, we generally could specifically detect these clades when their relative abundances were higher than 1% of the total "Candidatus Accumulibacter" lineage abundance.
To determine whether or not the extracted genomic DNA contained contaminants that inhibit qPCR, a series of ppk1 standards were spiked with 5 ng of genomic DNA extracted from sample EB, which was a non-EBPR sample in which "Candidatus Accumulibacter" ppk1 was not detected by agarose gel electrophoresis or later qPCR results. Because all genomic DNA templates were extracted and further purified in the same way, EB DNA was representative of DNA templates from all other samples in this study. qPCR was conducted on the standards with and without the EB DNA spike. ppk1 abundance in the spiked standards was determined using the standard curve generated from the nonspiked standards. The ppk1 copy numbers quantified in the spiked standards were plotted against those in their nonspiked counterparts (Fig. 3). Both the slope and the exponent were close to 1.0, indicating that the assay was accurate and the inhibition of PCR from genomic DNA template was minimal (27).
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FIG. 3. Validation curve plotting the clade IIC ppk1 copy numbers quantified in the standards spiked with 5 ng of genomic DNA from sample EB against those of their nonspiked counterparts. The slope and exponent value are close to 1, indicating that the inhibitory effect on PCR from the genomic DNA template was negligible.
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TABLE 3. Relative distributions of "Candidatus Accumulibacter" clades and estimated abundance of the total "Candidatus Accumulibacter" lineage relative to the bacterial community
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The fractional abundance of the total "Candidatus Accumulibacter" lineage relative to the bacterial community in many of the samples included in this study was previously measured using 16S rRNA-targeted FISH (5, 12), and these quantifications are included in Table 3. To validate quantifications derived from qPCR, we also estimated the percentage of the total "Candidatus Accumulibacter" lineage relative to the bacteria by using qPCR-based methods. For this purpose, qPCR with general bacterial 16S rRNA primers was performed to estimate total bacterial abundance. As ppk1 is a single-copy gene in "Candidatus Accumulibacter" (4), its abundance can represent the cell abundance of this organism. However, since many bacteria possess multiple copies of the rrn operon, it is difficult to accurately determine cell number using qPCR with 16S rRNA primers. The metagenomic analysis of "Candidatus Accumulibacter"-dominated EBPR reactors indicated that "Candidatus Accumulibacter" had at least 2 copies of the rrn operon (4). Therefore, we estimated the fraction of the total "Candidatus Accumulibacter" lineage by assuming that the "Candidatus Accumulibacter" genome had 2 copies of the rrn operon and that the other bacterial genomes in activated sludge had an average of 4.1 copies of the rrn operon, as has been assumed previously (9). This assumption provided an approximate estimation of the "Candidatus Accumulibacter" fraction by using the abundance of "Candidatus Accumulibacter" ppk1 and bacterial 16S rRNA genes, although we acknowledge that it does not ensure accurate determination. As a comparison, under the same assumption, the "Candidatus Accumulibacter" fraction was also estimated using 16S rRNA gene-targeted qPCR with general bacterial and PAO-846r primers since all "Candidatus Accumulibacter" 16S rRNA sequences retrieved in this study matched the PAO-846r primer. These two qPCR-based estimations are also shown in Table 3.
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It was previously suggested that 16S rRNA- and ppk1-based phylogenies were partially incongruent, possibly implying horizontal transfer of ppk1 genes (13). In this study, we tried to relate phylogenies reconstructed from 16S rRNA and ppk1 genes by using the common characteristics shared by these two phylogenetic trees since there are no pure culture representatives available within the "Candidatus Accumulibacter" lineage. In most cases, 16S rRNA- and ppk1-based "Candidatus Accumulibacter" phylogenetic trees were largely congruent, suggesting that ppk1 has not been horizontally transferred and is therefore a suitable locus for studying population structure within the "Candidatus Accumulibacter" lineage. However, it is noteworthy that clade IID was underrepresented in the 16S rRNA phylogenetic tree. This was probably caused by differences in the gene retrieval procedures used. For "Candidatus Accumulibacter" 16S rRNA, PCR was first conducted with general bacterial primers and the resulting clones were screened using "Candidatus Accumulibacter"-specific primers (5), whereas ppk1 sequences were obtained directly by amplification with the ppk1 primer set specific to "Candidatus Accumulibacter." Therefore, if a "Candidatus Accumulibacter" clade was present at a relatively low abundance relative to the total bacterial population (such as clade IID, as indicated by both clone frequencies and qPCR results), few such 16S rRNA sequences would have been captured by our screening method. Therefore, more 16S rRNA sequences belonging to clade IID and a higher degree of congruence between 16S rRNA and ppk1 phylogenies would have been expected if more 16S rRNA clones had been screened.
The qPCR-based estimation of total "Candidatus Accumulibacter" abundance determined using the ppk1 primer sets developed in this study was not significantly different from that derived by qPCR using 16S rRNA gene-targeted primer PAO-846f (paired Student t test, P = 0.32) but was different from that determined by 16S rRNA-based FISH (paired Student t test, P = 0.04). The fact that the two qPCR-based estimates were comparable suggests that ppk1 provides as adequate a measurement of total "Candidatus Accumulibacter" population size as does 16S rRNA, in spite of uncertainties about rrn operon copy number per genome. The differences between qPCR-based estimation and FISH quantification are possibly due to the following two reasons: (i) the assumption about the rrn operon copy number per genome in activated sludge was not precise enough, although it provided a rough estimation, and (ii) the FISH results, except those for sample UCB, were obtained using a probe mixture including probe RHC 439, which may overestimate "Candidatus Accumulibacter" abundance because RHC 439 also targets other members in Rhodocyclaceae. Specifically, 16S rRNA sequences matching probe RHC 439 but not probe PAO 462(b), PAO 651, or PAO 846(b) had been recovered from sample DUR (OTU DUR A10 [GenBank accession no. EF559323]) and sample NS (26). Therefore, within the sample subset excluding DUR and NS, qPCR-based estimation was more comparable to FISH quantifications (paired Student t test, P = 0.18).
The clustering patterns in both 16S rRNA and ppk1 phylogenies clearly reveal the distinct clades within the "Candidatus Accumulibacter" lineage. It was difficult to design specific 16S rRNA gene-targeted primer sets to distinguish each "Candidatus Accumulibacter" clade because the 16S rRNA gene is too conserved among clades. However, we were able to design specific ppk1 primers and develop qPCR assays to quantitatively study the distribution of "Candidatus Accumulibacter" clades among EBPR systems. In agreement with 16S rRNA and ppk1 phylogenies, only "Candidatus Accumulibacter" ppk1 clades I and IIA were detected in the laboratory-scale reactors by qPCR, whereas "Candidatus Accumulibacter" bacteria in most full-scale WWTPs were represented by at least three clades. This likely reflects the higher level of complexity and temporal fluctuations associated with wastewater composition and operational conditions in the full-scale WWTPs, which create more niches for these closely related groups. The relative distributions of "Candidatus Accumulibacter" clades were generally different among these full-scale EBPR systems, with the exception of pairs LV1-LV2 and CC-OL. It is expected that LV1 and LV2 had almost identical wastewater compositions, as they were parallel treatment trains in the same WWTP, with the only difference being their SRTs 5 days prior to sample collection. CC and OL also harbored very similar "Candidatus Accumulibacter" population structures. These two WWTPs were geographically very close (less than 30 miles apart), both were configured with high-rate anaerobic selectors, and both had very short SRTs (2 to 3 days) compared to other EBPR plants in this study (8 to 11 days). The similar population structures likely reflect these similar operational conditions, which could define similar ecological niches for "Candidatus Accumulibacter."
To compare the "Candidatus Accumulibacter" clade diversity and evenness among the full-scale EBPR samples, the Shannon index (diversity) and Pielou regularity index (evenness) of the "Candidatus Accumulibacter" lineage were calculated using the relative abundances of the five clades as determined by qPCR (Fig. 4). The least diversity and evenness were found in LV1 and LV2, with more than 90% of "Candidatus Accumulibacter" in clade IIC. Notably, sample NS showed the highest level of diversity, with all five clades detected and more evenly distributed than in other full-scale WWTP samples. This may be related to the complex configuration in the NS WWTP, where activated sludges from trains configured as University of Cape Town and anaerobic-oxic process reactors are combined in the secondary clarifier, with the combined sludge being recycled back to each train. Sample DUR exhibited the second-highest level of diversity. It is noteworthy that "Candidatus Accumulibacter" 16S rRNA sequences recovered from this sample affiliated only with clade IIB (Fig. 1), while ppk1 sequences of DUR were distributed among four clades (Fig. 2), with qPCR results showing dominance in clade IIB. The underestimation of diversity by 16S rRNA analysis in this case was probably caused by differences in the gene retrieval procedures applied, as discussed earlier. When "Candidatus Accumulibacter" was present at a low abundance, such as in sample DUR, only the 16S rRNA sequences from the numerically dominant clades were recovered by the screening procedure, leading to underestimated 16S rRNA sequence diversity.
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FIG. 4. Shannon index (diversity) and Pielou regularity index (evenness) of the "Candidatus Accumulibacter" lineage in the full-scale EBPR treatment plants, calculated from the relative abundances of the five "Candidatus Accumulibacter" clades (normalized to total "Candidatus Accumulibacter" ppk1 genes) as shown in Table 3.
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The possibility that some "Candidatus Accumulibacter" clades can out-compete other clades in certain EBPR systems supports the assertion that these clades were distinct not only in their ppk1 sequences but also in their physiological characteristics. Unique clades may occupy ecological niches with subtle differences, leading to the observed distribution patterns in different EBPR systems or at different times within a single system. Cohan has suggested using the ecotype concept to describe a set of strains occupying the same ecological niche (2). From the definition and properties of an ecotype, each bacterial ecotype is expected to be identifiable as a sequence cluster, where the average sequence divergence between clusters is greater than the average sequence divergence within the cluster (2). The five clades revealed by ppk1 genes meet this criterion and thus may represent five putative ecotypes of "Candidatus Accumulibacter." Further investigation is needed to confirm whether these five clades are truly ecologically distinct.
Special thanks to Daniel Noguera, Brook Peterson, Jason Flowers, and Philip Hugenholtz for thoughtful discussions; Andy Torkelson for operating the laboratory-scale reactor; April Gu for assistance with acquiring WWTP samples; and Ryan Newton for help with phylogenetic analysis. The assistance of personnel in the WWTPs included in this study is greatly appreciated.
Published ahead of print on 3 August 2007. ![]()
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