Cover sheet for SI Authors: Yi-Hao Luo, Ran Chen, Li-Lian Wen, Fan Meng, Yin Zhang, Chun-Yu Lai, Bruce E. Rittmann, He-Ping Zhao*, Ping Zheng Manuscript title: Complete perchlorate reduction using methane as the sole electron donor and carbon source Number of pages: Number of table: Number of figures: 10 5 3 S1 Supplementary information (SI) for manuscript Complete perchlorate reduction using methane as the sole electron donor and carbon source Yi-Hao Luo1, †, Ran Chen1, †, Li-Lian Wen1, Fan Meng1, Yin Zhang1, Chun-Yu Lai1, Bruce E. Rittmann2, He-Ping Zhao1, *, Ping Zheng1 1. MOE Key Lab of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Science, Zhejiang University, Hangzhou, China. 2. Swette Center for Environmental Biotechnology, Biodesign Institute at Arizona State University, P.O. Box 875701, Tempe, Arizona 85287-5701 * Correspondence to Dr. He-Ping Zhao. Tel: 0086-571-88982739, Fax: 0086-571-88982739, E-mail: zhaohp@zju.edu.cn † Contribute equally. S2 Table S1. Equations applied for the CH4-permeation calculations: in which α = k1KmZlfH(dm-Zm), β = k2DlfZm(dm+Zlf) Pm-lf P0 Phs Q H Dlf k1 k2 dm Zm Lm nm Methane pressure at the interface of membrane and liquid film (bar) Methane pressure in the hollow-fiber lumen (bar) Methane pressure in the headspace (bar) Water flow rate in the serum bottle (7.2×10-4 m3/d) Henry's law constant of CH4 (0.7512 m3 bar/mol) CH4-diffusion coefficient in water (1.9×10-4 m2/d)1 Coefficient that converts CH4 from volume to mass (1g/0.00154 m3 @ standard temperature and pressure) Coefficient that converts CH4 from moles to mass (16g/mol) Hollow-fiber out diameter (2.8×10-4 m) Membrane thickness (5.0×10-5 m) Hollow-fiber length (m) Number of hollow fibers (32) S3 Table S2. Experimental parameters for the CH4-permeation test Pressure (bar) Flow rate (m3/d) Fiber Length (m) Fiber Numbers Fiber O.D. (µm) Fiber thickness (µm) Kma Parameter Temperature (K) Composite fiber 298 1.00 7.2 × 10-4 0.05 32 2.8×10-4 0.5×10-4 1.03×10−7 a: units are m3 CH4 @ standard temperature and pressure - m membrane thickness/m2 hollow fiber surface area - d – bar. S4 Table S3. The influent and effluent concentrations of electron acceptors for each stage NO3--N stages 1 2 3 4 5 6 7 Influent (mg N/L) NA NA 1.21±0.09 11.3±0.40 4.49±0.04 NA NA Effluent (mg N/L) 0 0 0.000±0.000 3.51±1.25 0.023±0.029 0 0 NO2--N Influent (mg N/L) 1.69±0.006 NA NA NA NA NA 5.22±0.13 Effluent (mg N/L) 0.027±0.021 0 0 0 0 0 0.000±0.000 S5 ClO4Influent (mg/L) 1.32±0.09 1.01±0.008 1.02±0.017 1.04±0.052 1.0±0.003 5.43±0.017 5.07±0.096 Effluent (mg/L) 1.01±0.14 0.17±0.11 0.011±0.006 1.02±0.069 0.006±0.007 0.057±0.097 2.54±0.40 Table S4. PCR Program Primers and PCR conditions for tested genes Primers Sequence Target Gene Ref Slope Efficiency 320F 598R 5’-GCGCCCACCACTACATGTAYGGNCC-3’ 5’-GGTGGTCGCCGTACCARTCRAA-3’ pcrA 2 -.3.106 1.10 M2f M2r 5'-TAYGTSGGGCAGGARAAACTG-3' 5'-CGTAGA AGA AGCTGGTGCTGTT-3' narG 3 -3.144 1.08 cd3af R3cd 5’-GTSAACGTSAAGGARACSGG-3’ 5’-GASTTCGGRTGSGTCTTGA-3’ nirS 4 -.3.419 0.995 mcrA 5 -3.221 1.04 5'-GGNGACTGGGACTTCTGG-3' 5'-CCGGMGCAACGTCYTTACC-3' pMMO 6 -3.383 0.98 5'-GTGSTGCAYGGYTGTCGTCA-3' 5'-ACGTCRTCCMCACCTTCCTC-3' 16S rDNA for bacteria 7 -3.215 1.05 5'-ATTAGATACCCSBGTAGTCC-3' 5'-GCCATGCACC WCCTCT-3' 16S rDNA for archaea 8 -3.630 0.89 o 95 C 1 min o (95 C 5 sec o 60 C 31 sec o 72 C 20 sec)×40 o 72 C 1 min o 94 C 2 min o (94 C 30 sec o 58 C 20 sec o 72 C 60 sec)×40 o 72 C 10 min o 95 C 2 min o (94 C 30 sec o 60 C 60 sec o 72 C 60 sec)×40 o 72 C 5 min o 94 C 10 min o (94 C 30 sec o 58 C 300 sec o 72 C 60 sec)×40 o 72 C 1 min Mlas rev 5'-GGTGGTGTMGGDTTCACMCARTA-3' 5'-CGTTCATBGCGTAGTTVGGRTAGT-3' o 95 C 10 min o (95 C 60 sec o 60 C 60 sec o 72 C 60 sec)×40 o 72 C 5 min A189F MB661R o 95 C 2 min o (95 C 10 sec o 56 C 20 sec o 68 C 20 sec)×40 o 72 C 1 min 16SF 16SR o 94 C 10 min o (94 C 30 sec o 58 C 20 sec o 72 C 60 sec)×40 o 72 C 1 min ARC787F ARC1059R S6 Table S5. A16S B16S mcrA pMM O pcrA narG nirS CH4 flux - NO3 flux - NO2 flux ClO4 flux - Pearson Correlation Matrix 0.919** CH4 flux 0.304 NO3flux -0.169 NO2flux 0.797 ClO4flux 0.439 0.689 0.010 0.558 0.748 0.058 0.384 0.137 0.903* 0.484 0.277 0.326 -0.145 -0.173 0.028 0.549 0.796 -0.325 0.014 0.834* 0.331 0.020 0.595 0.282 0.529 0.554 0.784 -0.542 0.743 -0.487 0.259 1.000 0.530 0.599 0.039 0.863* 0.970 0.843* 0.588 0.416 0.254 0.209 0.267 0.329 0.327 -0.090 0.209 1.000 0.027 0.195 0.035 0.933 0.411 0.251 0.691 -0.243 0.524 0.880* 0.865 0.339 0.195 0.711 1.000 0.007 0.508 0.632 0.624 0.642 0.625 0.021 -0.109 0.511 -0.360 0.508 0.303 1.000 0.186 0.341 0.185 -0.078 0.837 0.721 0.483 0.230 0.508 1.000 0.883 0.864* 0.106 0.075 0.661 -0.401 0.027 1.000 0.888 -0.428 0.431 -0.522 A16S B16S mcrA MMO pcrA narG nirS Pearson Correlation Sig. 2-tailed 1.000 0.135 -0.323 0.579 0.983** 0.210 0.799 0.532 0.229 0.000 Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed Pearson Correlation Sig. 2-tailed 0.135 1.000 0.835* 0.861* 0.039 1.000 0.799 -0.323 0.835 0.532 0.579 0.039 0.861* 0.549 0.229 0.028 0.137 0.259 -0.325 0.599 0.000 0.210 0.796 0.903* 0.530 0.834* 0.209 0.863* 0.689 0.014 0.484 0.039 0.020 0.027 0.843* 0.933 0.010 0.304 0.331 0.277 0.970 0.282 0.035 0.416 0.007 0.251 0.303 0.624 0.341 0.558 -0.169 0.595 0.326 0.588 0.554 0.411 0.209 0.632 -0.243 0.186 0.625 0.508 -0.078 0.864 0.748 0.797 0.529 -0.145 0.254 -0.542 0.691 0.329 0.642 0.880* 0.185 -0.109 0.883 0.721 0.027 0.075 -0.428 1.000 0.139 0.058 0.439 0.784 -0.173 0.267 -0.487 0.524 -0.090 0.021 0.339 0.837 -0.360 0.106 0.230 0.888 -0.401 0.397 -0.522 0.139 1.000 0.384 0.743 0.327 0.865 0.511 0.483 0.661 0.431 0.288 0.793 0.983 0.919 ** ** * 0.711 ** ** * *. Correlation is significant at the 0.05 level; ** Correlation is significant at the 0.01 level (2-tailed). S7 Figure S1. The proposed AMO-D and ANMO-D pathways for CH4 oxidation coupled to NO3-/NO2- reduction. A: AMO-D requires two microorganisms: aerobic methanotrophs oxidize methane and produce organic compounds, which are further used by denitrifiers to reduce NO3- to N2. microorganisms: B: Reverse-methanogenesis-type ANMO-D requires two Archaea reduce NO3- to NO2- and produces H2 via reverse methanogenesis, and a denitrifier that oxidizes the H2 to drive NO2- respiration to N2. C: Intra-aerobic-type ANMO-D is carried out by one bacterium, which dismutates NO to form N2 and O2, with the O2 used as a co-substrate for methane mono-oxygenation by the same bacterium. S8 Figure S2. Schematic of the set up for the CH4-permeation experiment (This figure is our own work and is substantially modified from the original figure in Tang et al. (2012)).9 S9 Figure S3. The NO3- and ClO4- concentrations in the MBfR influent and effluent in Stage 4 (A) and Stage 5 (B), when CH4 supply was stopped and recovered. S10 References: (1) Winn, E. B. The temperature dependence of the self-diffusion coefficients of argon, neon, nitrogen, oxygen, carbon dioxide, and methane. Phys. Rev. 1950, 80, 1024-1027. (2) Nozawa-Inoue, M.; Jien, M.; Hamilton, N. S.; Stewart, V.; Scow, K. M.; Hristova, K. R. Quantitative detection of perchlorate-reducing bacteria by real-time PCR targeting the perchlorate reductase gene. Appl. Environ. Microbiol. 2008, 74, 1941-1944. (3) Lopez-Gutierrez, J. C.; Henry, S.; Hallet, S.; Martin-Laurent, F.; Catroux, G.; Philippot, L. Quantification of a novel group of nitrate-reducing bacteria in the environment by real-time PCR. J. Microbiol. Meth. 2004, 57, 399-407. (4) Throbaeck, I. N.; Enwall, K.; Jarvis, A.; Hallin, S. Reassessing PCR primers targeting nirS, nirK and nosZ genes for community surveys of denitrifying bacteria with DGGE. FEMS Microbiol. Eco. 2004, 49, 401-417. (5) Steinberg, L. M.; Regan, J. M. Phylogenetic comparison of the methanogenic communities from an acidic, oligotrophic fen and an anaerobic digester treating municipal wastewater sludge. Appl. Environ. Microbiol. 2008, 74, 6663-6671. (6) Paszczynski, A. J.; Paidisetti, R.; Johnson, A. K.; Crawford, R. L.; Colwell, F. S.; Green, T.; Delwiche, M.; Lee, H.; Newby, D.; Brodie, E. L.; Conrad, M. Proteomic and targeted qPCR analyses of subsurface microbial communities for presence of methane monooxygenase. Biodegradation. 2011, 22, 1045-1059. (7) Maeda, H.; Fujimoto, C.; Haruki, Y.; Maeda, T.; Kokeguchi, S.; Petelin, M.; Arai, H.; Tanimoto, I.; Nishimura, F.; Takashiba, S. Quantitative real-time PCR using TaqMan and SYBR Green for Actinobacillus actinomycetemcomitans, Porphyromonas gingivalis, Prevotella intermedia, tetQ gene and total bacteria. FEMS Immunol. Med. Mic, 2003, 39, 81-86. (8) Yu, Y.; Lee, C.; Kim, J.; Hwang, S. Group-specific primer and probe sets to detect methanogenic communities using quantitative real-time polymerase chain reaction. Biotechnol. Bioeng. 2005, 89, 670-679. (9) Tang, Y. N.; Zhou, C.; Van Ginkel, S.; Ontiveros-Valencia, A.; Shin, J. H.; Rittmann, B. E. Hydrogen-Permeation coefficients of the fibers used in H2-based membrane biofilm reactors. J. Membr. Sci. 2012. 407, 176-183. S11