Multilevel correlations in the biological phosphorus removal process: from bacterial enrichment to conductivity-based metabolic batch tests and polyphosphatase assays SUPPLEMENTARY MATERIAL David G. Weissbrodt1,a,b, Julien Maillard1, Alessandro Brovelli2, Alexandre Chabrelie1, Jonathan May1, Christof Holliger1,* 1 Ecole Polytechnique Fédérale de Lausanne, School for Architecture, Civil and Environmental Engineering, Laboratory for Environmental Biotechnology, Switzerland 2 Ecole Polytechnique Fédérale de Lausanne, School for Architecture, Civil and Environmental Engineering, Ecological Engineering Laboratory, Switzerland *Corresponding author: Prof. Christof Holliger, EPFL ENAC IIE LBE, Station 6, CH-1015 Lausanne, Switzerland; Tel +41-21-6934724, Fax +41-21-6934722, e-mail: christof.holliger@epfl.ch a Current address: ETH Zürich, Institute of Environmental Engineering, Chair of Process Engineering in Urban Water Management, Zürich, Switzerland b Current address: Eawag – Swiss Federal Institute of Aquatic Science and Technology, Department of Process Engineering, Dübendorf, Switzerland 1 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process Supplementary material 1 Table SM1.1 Optimal composition of nutritive media used for the cultivation of stable PAO- and GAOenrichments in the present study. Compound CAS no. Molecular formula Molecular weight (g mol-1) Concentrations in influent wastewater PAO-SBR GAO-SBR C-source medium1 Sodium acetate2 Sodium propionate2 Magnesium sulfate Calcium chloride 127-09-3 137-40-6 7487-88-9 10043-52-4 C2H3O2Na·3H2O C3H5O2Na MgSO4·7H2O CaCl2·2H2O 136.09 96.06 246.51 147.02 3.57 mmol L-1 0.37 0.10 6.25 mmol L-1 0.37 0.10 12125-02-9 7778-77-0 109-57-9 8013-01-2 91079-38-8 65072-00-6 - NH4Cl KH2PO4 C4H8N2S n.a. n.a. n.a. - 53.49 136.09 116.18 n.a. n.a. n.a. - 1.43 mmol L-1 1.61 2.00 mg L-1 0.80 0.80 0.80 0.30 mL L-1 1.43 mmol L-1 0.07 2.00 mg L-1 0.30 mL L-1 N-source and P-source medium1 Ammonium chloride Potassium dihydrogen phosphate3 Allyl-N-thiourea4 Yeast extract5 Peptone5 Casamino acids5 Trace element solution Compound CAS no. Molecular formula Molecular weight Concentrations in stock solution (g mol-1) (g per 5 L) (mmol L-1) 372.25 287.59 197.92 270.30 205.92 249.71 237.96 61.83 166.00 50.00 0.60 0.60 7.50 0.30 0.15 0.75 0.75 0.90 26.86 0.42 0.61 5.55 0.29 0.12 0.63 2.43 1.08 Trace element stock solution1,6 Disodium EDTA Zinc sulfate Manganese chloride Iron(III) chloride Sodium molybdate Copper(II) sulfate Cobalt(II) chloride Boric acid Potassium iodide 139-33-3 7733-02-0 7773-01-5 7705-08-0 7631-95-0 7758-98-7 7646-79-9 11113-50-1 7681-11-0 C10H14N2O8Na2·2H2O ZnSO4·7H2O MnCl2·4H2O FeCl3·6H2O Na2MnO4·2H2O CuSO4·5H2O CoCl2·6H2O H3BO3 KI 1 All solutions were prepared in demineralized water. The synthetic wastewater was prepared by 1:1 mixing of 2times concentrated C-source medium, and N-source and P-source medium. 2 The final concentrations of acetate and propionate in the influent corresponded to 12.5 C-mmolAc L-1 and 10.7 C-mmolPr L-1, respectively, and to 400 mgCOD L-1. Optimal SBR start-up was operated with stepwise increase of the organic concentration. At steady state, the SBRs were thus fed with volumetric organic loading rates (OLR) of 200 mgCODs cycle-1 LR-1. 3 At steady state, the COD/P ratio of the influent wastewaters amounted to 8 and 200 g COD gP-PO4-1, respectively. 4 Allyl-N-thiourea was added to inhibit nitrification. 5 Protein complements were added in the PAO-SBR to sustain the enrichment of Accumulibacter, according to the media composition used by different authors (Hesselmann et al. 1999; Hollender et al. 2002; Lopez-Vazquez et al. 2009; Lu et al. 2006; Marcelino et al. 2009; Schuler and Jenkins 2003; Smolders et al. 1994; Zeng et al. 2003). COD conversion factors: 1.4 gCOD gyeast extract-1, 1.4 gCOD gcasamino acids-1, 1.2 gCOD gpeptone-1. 6 The composition of the trace element solution was taken from Lopez-Vazquez et al. (2009). 2 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process Supplementary material 2 Table SM2.1 Stoichiometric and composition matrix formulation of the PAO and GAO processes occuring under anaerobic and standardized conditions (20°C, pH 7.0). The main participating ionic species were integrated for modeling of electrical conductivity evolution in PHREEQC. The descriptions of PAO/GAO processes of Smolders et al. (1995), Manga et al. (2001), Zeng et al. (2003), Siegrist et al. (2002), and Lopez-Vazquez et al. (2009) were adapted by integration of the main participating charged ions according to Serralta et al. (2004), Seco et al. (2004), and Aguado et al. (2006). This matrix considers the conversion of soluble components and of intracellular storage compounds (hereafter refered as to particulate components). Stoichiometric coefficients (υij) were calculated by sastisfying balances of theoretical oxygen demand (ThOD), charge, and materials, and were expressed in moles as prerequisite for implementation in PHREEQC. Maintenance processes of PAO and GAO under anaerobic conditions were specified in the matrix, but were not taken into consideration in the modelling investigations. Aguado et al. (2006) reported a model-based calibrated composition of polyphosphate of (K0.28Mg0.36PO3)n instead of the traditionally used compositions (K0.34Mg0.33PO3)n. i 1 2 3 4 5 6 7 8 9 10 11 12 Components Soluble in PHREEQC Acetate P K Mg C H O XGly XPP XPHB XPHV XPH2MV C2H4O2 PO43- K+ Mg2+ CO32- H+ H2O (C6H10O5)n (K0.28Mg0.36PO3)n (C4H6O2)n (C5H8O2)n (C6H10O2)n m-3) m-3) Molecular formula m-3) Particulate m-3) j Processes 1 PAO: Anaerobic PHA storage 2 PAO: Anaerobic maintenance 3 GAO: Anaerobic PHA storage 4 GAO: Anaerobic maintenance k Composition 1 ThOD (gCOD/moli) 2 Charge + (mol+/moli) -3 3 P 1 4 K 5 Mg 6 C 2 7 H 4 8 O 2 units (mol -1 (mol (mol m-3) (mol m-3) 26/30 0.28·26/30 0.36·26/30 1 0.28 0.36 -1 (mol m-3) 2/6 (mol m-3) (mol m-3) 72/30 -11/30 2 -1 0.54 1.08 0.5 1 2 64 +1 +2 -2 (mol m-3) -1/6 -26/30 (mol (mol (mol m-3) 4/6 -1 -0.3733 0.6789 0.1822 0.0122 -1 1/4 1/2 1/4 192 144 192 240 4 5 6 6 8 10 2 2 2 +1 1 1 0.28 1 0.36 1 6 1 4 (mol m-3) 3 3 2 10 1 5 3 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process Table SM2.2 Biokinetic model of PAO and GAO processes under anaerobic conditions under standardized conditions (20°C, pH 7.0). Adpated from Smolders et al. (1995), Zeng et al. (2003), Siegrist et al. (2002), de Kreuk et al. (2007), and Lopez-Vazquez et al. (2009). All coefficients were expressed in molar forms as prerequisite for implementation in PHREEQC. The kinetic coefficients were taken from Siegrist et al. (2002) and de Kreuk et al. (2007). The affinity constants used as first approximations by Lopez-Vazquez et al. (2009) were indeed overestimated compared to the values provided by the two previous studies, and led to limited volumetric kinetics for the anaerobic metabolic batches modeled at biomass concentrations below 1 g CODx L-1. Another difference with Lopez-Vazquez et al. (2009) was that the switching functions related to the consumed particulate components (polyphosphate and glycogen) were expressed with Xi/Xbiomass ratios according to Siegrist et al. (2002). j Processes Process rates, ρi 1 PAO: Anaerobic acetate uptake qPAO,Ac_PHA,Max · MAc · XPAO · MPAO,PP · MPAO,Gly · SATPAO,PHA 2 PAO: Anaerobic maintenance mPAO,An · XPAO · MPAO,PP 3 GAO: Anaerobic acetate uptake qGAO,Ac_PHA,Max · MAc · XGAO · MGAO,Gly · SATGAO,PHA 4 GAO: Anaerobic maintenance mGAO,An · XGAO · MGAO,Gly Kinetic coefficients: KAc = 1/2·0.001 molAc m-3 KGly = 1/6·0.01 molGly molXbio-1 KPP = 0.01 molPP molXbio-1 KfPHA = 1/4·0.01 molPHA molXbio-1 Switching functions (Monod terms): MAc = SAc·(KAc+SAc)-1 MPAO,PP = (XPP,PAO/XPAO)·(KPP+(XPP,PAO/XPAO))-1 MPAO,Gly = (XGly,PAO/XPAO)·(KGly+(XGly,PAO/XPAO))-1 MGAO,Gly = (XGly,GAO/XGAO)·(KGly+(XGly,GAO/XGAO))-1 molPHA molXbio-1 fPHA,Max = 1/4·1 fPP_PAO,Max = 0.30 molPP molXpao-1 fGly_PAO,Max = 1/6·0.27 molPP molXpao-1 fGly_GAO,Max = 1/6·0.30 molPP molXgao-1 PHA-related cell saturation term: SATPAO,PHA = (fPHA,Max – fPHA,PAO)·(fPHA,Max – fPHA,PAO + KfPHA)-1 SATGAO,PHA = (fPHA,Max – fPHA,GAO)·(fPHA,Max – fPHA,GAO + KfPHA)-1 Kinetic parameters: qPAO,Ac_PHA,Max (20°C) = 1/2 · 0.20 molAc molPAO-1 qGAO,Ac_PHA,Max (20°C) = 1/2 · 0.22 molAc molGAO-1 mPAO,An (20°C) = 2.35·10-3 molPP h-1 molPAO-1 mGAO,An (20°C) = 1/6 · 4.70·10-3 molGly h-1 molGAO-1 4 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process Table SM2.3 Composition of the medium of anaerobic metabolic batch tests. For simplified modeling in PHREEQC, only the highlighted main substrates were taken into consideration. MM (g/mol) Component m(stock) (mg /1 L) c(batch) c(batch) (mol/L) (mmol/L) c(stock) (mg/L) c(batch) (mg/L) 214 180 28 4 107 90 14 2 2.0E-03 3.7E-04 9.5E-05 1.7E-05 2.000 0.365 0.095 0.017 8.0 mgN/L 1700 151 2 850 75.5 1 6.2E-03 4.8E-04 6.246 0.484 399.7 mgCOD/L 15.0 mgP/L Mineral solution (2x conc) NH4Cl MgSO4.2H2O CaCl2.2H2O Allyl-N-thiourea C4H8N2S Trace element solution** 53.49 246.51 147.02 116.18 214 180 28 4 0.6 mL Substrate solution (2x conc) C2H3O2Na.3H2O NaH2PO4.2H2O Yeast extract 136.09 156.01 1700 151 2 26.6 gCOD/gP 50.0 gCOD/gN Component MM (g/mol) m(stock) (g /5 L) c(stock) (g/L) c(stock) (mol/L) c(min. sol.) (mol/L) c(batch) (mol/L) c(batch) (mmol/L) 372.25 287.59 197.92 270.30 205.92 249.71 237.96 61.83 166.00 50 0.6 0.6 7.5 0.3 0.15 0.75 0.75 0.9 10 0.12 0.12 1.5 0.06 0.03 0.15 0.15 0.18 0.0269 0.0004 0.0006 0.0055 0.0003 0.0001 0.0006 0.0024 0.0011 1.6E-05 2.5E-07 3.6E-07 3.3E-06 1.7E-07 7.2E-08 3.8E-07 1.5E-06 6.5E-07 8.1E-06 1.3E-07 1.8E-07 1.7E-06 8.7E-08 3.6E-08 1.9E-07 7.3E-07 3.3E-07 8.1E-03 1.3E-04 1.8E-04 1.7E-03 8.7E-05 3.6E-05 1.9E-04 7.3E-04 3.3E-04 **Trace element solution C10H14N2O8Na2·2H2O ZnSO4·7H2O MnCl2·4H2O FeCl3·6H2O Na2MnO4·2H2O CuSO4·5H2O CoCl2·6H2O H3BO3 KI Table SM2.4 Charge matrix of the medium of anaerobic metabolic batch tests. The total concentrations of the main ionic species displayed in bold characters were used as input data in PHREEQC. According to the definition of chemical components in PHREEQC, the medium was adapted for ensuring adequate charge balance, e.g. for the orthophosphate source (highlighted). Concentration (mmol/L) PHREEQC Ionic Charge ionic species species i (mol+/mol i) Main cations N(-3) NH4 + 1 Mg Mg 2+ 2 Ca Ca 2+ 2 Na Na + 1 Main anions Cl Cl -1 S(6) SO4 2-2 Acetate C3H3O2 -1 P PO4 3-3 Charged components j NH4Cl MgSO4 CaCl2 C2H3O2Na 2.000 0.365 0.095 6.246 Moles of ionic species i per mol of component j (mol i/mol j) 1 1 1 1 1 2 1 1 Na3PO4 0.484 3 1 c_tot(i) c_tot(+) Sum(+) (mmol i /L) (mmol + /L) (mmol + /L) 2.000 2.000 10.619 0.365 0.730 0.095 0.190 7.698 7.698 2.191 -2.191 -10.619 0.365 -0.730 6.246 -6.246 0.484 -1.452 Balance 0.00000 Table SM2.5 Concentrations of PAO and GAO in the anaerobic metabolic batch tests calculated from the measured average biomass concentration of 1 gVSS L-1 and the relative abundances of PAO and GAO obtained by T-RFLP. The average biomass formula C1H1.8O0.5N0.2 was considered here. For more precision one could use the specific biomass formula given by Lopez-Vazquez et al. (2007) and Zeng et al. (2003) for PAO (C1H2.09O0.54N0.20P0.015) and GAO (C1H1.84O0.5N0.19). c(biomass) c(biomass) c(biomass) F(PAO) F(GAO) c(PAO) c(GAO) c(others) (gVSS/L) (C-molX/L) (C-mmolX/L) (%) (%) (C-mmolX/L) (C-mmolX/L) (C-mmolX/L) 1.0 0.04065 41 0 60 0 24 16 12 46 5 19 17 24 32 10 13 18 37 16 15 7 19 51 0 21 0 20 5 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process Supplementary material 3 Anaerobic 400 350 Aerobic Total COD Acetate Propionate Ammonium 300 B Ammonium (mgN.-NH4 L-1) 25 Orthophosphate, Potassium, Magnesium (mgP-PO4, mgK and mgMg L-1) Anaerobic 200 Aerobic Phosphate Potassium Magnesium 20 150 250 Settling Volatile fatty acids (gCOD L-1) Settling A 15 200 100 10 150 100 50 5 50 0 60 120 180 240 C 300 0 360 0 0 60 120 180 240 300 360 Electrical conductivity (μS cm-1) Anaerobic 1500 Aerobic Settling 0 1400 1300 1200 1100 1000 0 60 120 180 240 300 360 x-axes = SBR cycle time (min) Fig. SM3.1 Typical profiles of anaerobic VFA uptake and ammonium assimilation (A), of orthophosphate, potassium and magnesium cycling (B), and of electrical conductivity (C) recorded in the PAO-SBR for an enrichment trial with a mixture of acetate and propionate 75:25%COD as carbon source. Legend: concentrations in the influent wastewater (red points) and in the treated effluent (blue points). 6 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process A 100 PAO-SBR – Unfavorable conditions Exp. 5 OTUs and affiliations Other OTUs (< 2%) 393/400 Bdellovibrio 298 Herpetosiphon 294 Ruminococcus Exp. 7 259/260 Nitrospira / Sphingobacteriales 252/253/252/256/308/318/321/323 Sphingobacteriales (Cytophaga) 251/276/277 Spirochaetes 250 Acinetobacter 239/303/304 Gammaproteobacteria (Competibacter) 50 233/198 TM7 227 Microbiaceae 223/224/229 Intrasporangiaceae (Tetrasphaera) 216 Methyloversatillis 214/215/217 Rhodocyclus (Accumulibacter) 211 Armatimonadetes 200/209 Acidobacteriaceae 193/207/211/212/213/ Comamonadaceae (Acidovorax) 1 4 10 25 53 69 84 98 2 10 13 14 20 31 36 0 185/188/189/190/220/286 Rhizobiales (Aminobacter, Mezorhizobium, Bradyrhizobiaceae) 71/195 Zoogloea B PAO-SBR – Optimal conditions 100 50 0 BNR C 1 5 7 9 17 30 42 51 58 64 73 84 95 99 105 109 116 119 133 147 161 171 186 269 289 315 y-axes = Relative abundances of OTUs (%) 178/193/290 Rhodospirillaceae GAO-SBR – Optimal conditions 100 50 1 6 14 20 34 50 62 73 95 129 162 199 233 239 258 264 272 290 296 314 325 335 357 377 388 392 398 402 412 426 433 440 454 458 463 471 485 611 0 x-axes = Time (days) Fig. SM3.2 Bacterial community dynamics during the enrichment of PAO under unfavorable (A) and optimal (B) start-up conditions, and during the enrichment of GAO (C). The bacterial community dynamics in the PAOSBR and GAO-SBR under optimal conditions (B-C) have previoulsy been presented in Weissbrodt et al. (2013). 7 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process Supplementary material 4 A B Normalized electrical conductivity σ (μS cm-1 gCODx-1) 1000 Normalized orthophosphate concentration (mgP-PO4 gCODx-1) 100 PAO and GAO abundances (%) 900 700 600 Normalized acetate concentration (mgCOD,Ac gCODx-1) 0 90 80 51 : 0 37 : 16 24 : 32 12 : 46 0 : 60 800 C -100 70 60 50 500 -200 40 400 30 300 20 200 -300 10 100 0 0 -10 0 1 2 3 4 5 -400 0 1 2 3 4 5 0 1 2 3 4 5 x-axes (A-C) = Batch time (h) D E Normalized electrical conductivity σ (μS cm-1 gCODx-1) 250 Normalized acetate concentration (mgCOD,Ac gCODx-1) 0 20 51 : 0 37 : 16 24 : 32 12 : 46 0 : 60 150 F 25 PAO and GAO abundances (%) 200 Normalized orthophosphate concentration (mgP-PO4 gCODx-1) -100 15 10 -200 100 5 -300 50 0 0 -5 0 10 20 30 -400 0 10 20 30 0 10 20 30 x-axes (D-F) = Batch time (h) Maximum biomass specific rates H I Conductivity qσ Orthophosphate qPO4 (μS cm-1 h-1 gCODx-1) (mgP-PO4 h-1 gCODx-1) 400 y = 663.1x + 80.868 R2 = 0.9933 y = 87.351x R2 = 0.9834 300 30 250 200 20 150 100 50 qσ qPO4 0 10 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Relative abundance of PAO in total biomass (%) 0.5 FGAO = GAO/(PAO+GAO) (-) 0 1 500 50 40 350 1 qσ (μS cm-1 h-1 gCODx-1) 450 FGAO = GAO/(PAO+GAO) (-) 0.5 0 0.5 YPO4/Ac (mgP-PO4 mgCOD,Ac-1) G 400 300 200 100 qσ = 337 FPAO + 91 R2 = 0.9877 0 0.4 0.3 0.2 0.1 YPO4/Ac = 0.507 FPAO R2 = 0.9951 0.0 0 0.5 FPAO = PAO/(PAO+GAO) (-) 1 0 0.5 1 FPAO = PAO/(PAO+GAO) (-) Fig. SM4.1 Evolution of conductivity (A), orthophosphate (B), and acetate (C) recorded during 5 h in anaerobic metabolic batch tests in function of the experimental relative abundance of PAO and GAO measured by TRFLP. Each variable was normalized by the biomass concentration expressed as COD equivalents. Zooms over the data collected during the first 30 min that were used to compute initial maximum rates (D-F). Linear trends were obtained between the maximum biomass specific rates of conductivity evolution (q σ) and of orthophosphate release (qPO4), and the relative abundance of PAO present in the total biomass (G). The maximum biomass specific rates of conductivity evolution (qσ) (H) and the yield of orthophosphate release to acetate uptake (I) also correlated linearily with the PAO/GAO ratio. 8 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process Supplementary material 5 A B Electrical conductivity σ (μS cm-1) 1100 C Orthophosphate concentration (mgP-PO4 L-1) 200 PAO (C-mmolX L-1) Acetate concentration (mgCOD,Ac L-1) 450 0 400 1000 250 100 50 25 150 250 100 50 350 25 900 300 10 800 100 5 250 10 10 200 700 150 5 5 50 100 250 100 50 600 0 500 0 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 25 50 0 0 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 x-axes (A-C) = Batch time (h) D E Electrical conductivity σ (μS cm-1) 1100 Maximum biomass specific rate of conductivity evolution qσ (μS cm-1 h-1 gCODx-1) 250 Slope = 2.8103 (μS/cm) (mgP/L)-1 R2 = 0.9987 1000 F Yσ/Ac (μS cm-1 mgCOD,Ac-1) YPO4/Ac (mgP-PO4 mgCOD,Ac-1) 1.5 200 900 1 150 800 100 700 0.5 50 600 500 qσ = 195 μS cm-1 h-1 gCODx-1 Yσ/Ac YPO4/Ac 0 0 50 100 150 200 Orthophosphate concentration (mgP-PO4 L-1) = 1.18 μS cm-1 gCOD,Ac-1 = 0.42 gP-PO4 gCOD,Ac-1 0 0 50 100 150 200 250 PAO concentration (C-mmolX L-1) 0 50 100 150 200 250 PAO concentration (C-mmolX L-1) Fig. SM5.1 Evolutions of conductivity (A), orthophosphate (B), and acetate (C) during anaerobic metabolic batch tests simulated in PHREEQC in function of the concentration of PAO when only PAO are present in the sludge. A single linear trend was satisfactorily describing the correlation between all conductivity and orthophosphate profiles (D). The maximum biomass specific rate of conductivity evolution amounted to 195 μS cm-1 h-1 gCODx-1 independently from the PAO concentration (E). Yields of conductivity evolution (Yσ/Ac) and of orthophosphate release (YP-PO4/Ac) to acetate uptake amounted to 1.18 μS cm-1 gCOD,Ac-1 and 0.42 gP-PO4 gCOD,Ac-1, respectively (F). 9 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process A B Electrical conductivity σ (μS cm-1) 1100 C Orthophosphate concentration (mgP-PO4 L-1) 200 450 400 PAO/GAO (%) 1000 100:0 150 100:0 900 350 300 75:25 75:25 800 250 100 50:50 200 50:50 25:75 700 Acetate concentration (mgCOD,Ac L-1) 150 25:75 50 0:100 0:100 100 100:0 600 50 0:100 500 0 0.0 0.5 1.0 1.5 2.0 0 0.0 0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 x-axes (A-C) = Batch time (h) Slopes (μS/cm) (mgP/L)-1 R2 > 0.9990 1100 1000 0 200 900 3.8 800 5.2 ∞ 700 600 0 1 0.5 0.5 0:100 y = 142x + 55 50 150 100 100 150 50 y = 142x + 55 R2 = 0.9951 200 0 500 0 50 100 150 1 0 R2 = 0.9951 2.9 3.3 100:0 F FGAO = GAO/(PAO+GAO) (-) 200 Orthophosphate concentration (mgP-PO4 L-1) 0 0.5 FPAO = PAO/(PAO+GAO) (-) FGAO = GAO/(PAO+GAO) (-) 0 0 1 1.5 Yσ/Ac (μS cm-1 mgCOD,Ac-1) YPO4/Ac (mgP-PO4 mgCOD,Ac-1) E Electrical conductivity σ (μS cm-1) qσ (μS cm-1 h-1 gCODX-1) D 0.5 0.5 Yσ/Ac YPO4/Ac 1 0 R2 = 0.9951 y = 0.9341x + 0.2849 y = 142x + 55 R2 = 0.995 50 1 100 y = 0.4094x 0.5 150 2 R = 0.9971 200 0 1 0 0.5 1 FPAO = PAO/(PAO+GAO) (-) Fig. SM5.2 Evolutions of conductivity (A), orthophosphate (B), and acetate (C) during anaerobic metabolic batch tests simulated in PHREEQC in function of the PAO/GAO ratio. Different linear correlations were obtained between conductivity and orthophosphate profiles in function of the PAO/GAO ratio (D). The biomass specific rate of conductivity evolution (qσ) (E), and the yields of conductivity evolution (Yσ/Ac) and of orthophosphate release (YP-PO4/Ac) to acetate uptake can be related in a linear way to the PAO/GAO ratio (F). 10 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process Supplementary material 6 B Normalized polyphosphate hydrolysis (μmolPi-PP45 mgProteins-1) 0 5 10 15 20 40 -5 -10 -15 -20 30 20 PAO and GAO relative abundances 51 : 0 % 37 : 16 % 24 : 32 % 12 : 46 % 0 : 60 % -45 -50 -55 10 y = 91.089x 2 R = 0.9914 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Relative abundance of PAO in total biomass (-) E Rate of conductivity evolution qσ (μS cm-1 h-1 gCODx-1) 1000 450 900 400 800 350 700 300 600 250 500 200 400 150 300 y = 7.2255x + 81.754 50 R2 = 0.9794 0 0 40 30 20 10 qlys,PP = 48.2 FPAO R2 = 0.990 0 0.5 1 FPAO = PAO/(PAO+GAO) (-) Polyphosphatase activity qlys,PP (in equivalent units: mgP-PP h-1 gCODx-1) 500 100 0.5 50 0 0 Enzymatic reaction time (min) D FGAO = GAO/(PAO+GAO) (-) 1 50 5 0 -25 -30 -35 -40 C Polyphosphatase activity qlys,PP (nkatPi-PP45 mgProteins-1) Polyphosphatase activity qlys,PP (nkatPi-PP mgProteins-1) A 200 y = 21.17x 100 R = 0.9727 2 0 0 10 20 30 40 Polyphosphatase activity qlys,PP (nkatPi-PP45 mgProteins-1) 50 0 10 20 30 40 50 Anaerobic metabolic activity qPO4 (mgP-PO4 h-1 gCODx-1) Fig. SM6.1 Evolution of the hydrolysis of commercial polyphosphate 45 during enzymatic reactions with cell extracts from different mixtures of PAO and GAO biomass (A). Linear relation between the polyphosphatase activity and the T-RFLP-based relative abundance of PAO present in the total biomass of mixtures of PAO and GAO enrichments (B). Linear relation between the polyphosphatase activity and the fraction of PAO calculated based on the sum of PAO and GAO only (C). Comparison of the biomass specific rate of conductivity evolution and the polyphosphatase activity of PAO/GAO mixtures (D). Comparison of the rate of polyphosphate hydrolysis in the enzymatic assay and the rate of orthophosphate release in anaerobic metabolic batch tests (E). The polyphosphatase activity in nkatPi-PP45 mgProteins-1 was converted in mgP-PP h-1 gCODx-1 in order to allow comparing the two types of polyphosphate hydrolysis activity measured. The average measured fraction of proteins present in cell extracts (0.250 gPrtoeins gVSS-1) and the VSS→CODx conversion factor of 1.366 gCODx gVSS1 for a standard biomass composition of C1H1.8O0.5N0.2 were taken into account, to this end. 11 Weissbrodt D.G. et al., Supplementary material, Multilevel correlations in the EBPR process References Aguado D, Montoya T, Ferrer J, Seco A. 2006. Relating ions concentration variations to conductivity variations in a sequencing batch reactor operated for enhanced biological phosphorus removal. Environmental Modelling & Software 21(6):845-851. de Kreuk MK, Picioreanu C, Hosseini M, Xavier JB, van Loosdrecht MCM. 2007. Kinetic model of a granular sludge SBR: Influences on nutrient removal. Biotechnology and Bioengineering 97(4):801-815. Hesselmann RPX, Werlen C, Hahn D, van der Meer JR, Zehnder AJB. 1999. Enrichment, phylogenetic analysis and detection of a bacterium that performs enhanced biological phosphate removal in activated sludge. Systematic and Applied Microbiology 22(3):454-465. Hollender J, Dreyer U, Kornberger L, Kämpfer P, Dott W. 2002. Selective enrichment and characterization of a phosphorus-removing bacterial consortium from activated sludge. Applied Microbiology and Biotechnology 58(1):106-111. Lopez-Vazquez CM, Hooijmans CM, Brdjanovic D, Gijzen HJ, van Loosdrecht MCM. 2007. A practical method for quantification of phosphorus- and glycogen-accumulating organism populations in activated sludge systems. Water Environment Research 79(13):2487-2498. Lopez-Vazquez CM, Oehmen A, Hooijmans CM, Brdjanovic D, Gijzen HJ, Yuan Z, van Loosdrecht MCM. 2009. Modeling the PAO-GAO competition: Effects of carbon source, pH and temperature. Water Research 43(2):450-462. Lu H, Oehmen A, Virdis B, Keller J, Yuan Z. 2006. Obtaining highly enriched cultures of "Candidatus Accumulibacter phosphates" through alternating carbon sources. Water Research 40(20):3838-3848. Manga J, Ferrer J, Garcia-Usach F, Seco A. 2001. A modification to the Activated Sludge Model No. 2 based on the competition between phosphorus-accumulating organisms and glycogen-accumulating organisms. Water Science and Technology 43(11):161-171. Marcelino M, Guisasola A, Baeza JA. 2009. Experimental assessment and modelling of the proton production linked to phosphorus release and uptake in EBPR systems. Water Research 43(9):2431-2440. Schuler AJ, Jenkins D. 2003. Enhanced biological phosphorus removal from wastewater by biomass with different phosphorus contents, part I: Experimental results and comparison with metabolic models. Water Environment Research 75(6):485-498. Seco A, Ribes J, Serralta J, Ferrer J. 2004. Biological nutrient removal model No. 1 (BNRM1). Water Science and Technology 50(6):69-78. Serralta J, Borras L, Blanco C, Barat R, Seco A. 2004. Monitoring pH and electric conductivity in an EBPR sequencing batch reactor. Water Science and Technology 50(10):145-152. Siegrist H, Rieger L, Koch G, Kuhni M, Gujer W. 2002. The EAWAG Bio-P module for activated sludge model No. 3. Water Science and Technology 45(6):61-76. Smolders GJF, van der Meij J, van Loosdrecht MCM, Heijnen JJ. 1994. Model of the anaerobic metabolism of the biological phosphorus removal process - Stoichiometry and pH influence. Biotechnology and Bioengineering 43(6):461-470. Smolders GJF, van der Meij J, van Loosdrecht MCM, Heijnen JJ. 1995. A structured metabolic model for anaerobic and aerobic stoichiometry and kinetics of the biological phosphorus removal process. Biotechnology and Bioengineering 47(3):277-287. Weissbrodt DG, Neu TR, Kuhlicke U, Rappaz Y, Holliger C. 2013. Assessment of bacterial and structural dynamics in aerobic granular biofilms. Frontiers in Microbiology 4:175. Zeng RJ, van Loosdrecht MCM, Yuan ZG, Keller J. 2003. Metabolic model for glycogen-accumulating organisms in anaerobic/aerobic activated sludge systems. Biotechnology and Bioengineering 81(1):92105. 12