Abstract
A synthetic DNA fragment containing primer binding sites for the quantification of ten different microbial groups was constructed and evaluated as a reliable enumeration standard for quantitative real-time PCR (qPCR) analyses. This approach has been exemplary verified for the quantification of several methanogenic orders and families in a series of samples drawn from a mesophilic biogas plant. Furthermore, the total amounts of bacteria as well as the number of sulfate-reducing and propionic acid bacteria as potential methanogenic interaction partners were successfully determined. The obtained results indicated a highly dynamic microbial community structure which was distinctly affected by the organic loading rate, the substrate selection, and the amount of free volatile fatty acids in the fermenter. Methanosarcinales was the most predominant methanogenic order during the 3 months of observation despite fluctuating process conditions. During all trials, the modified quantification standard indicated a maximum of reproducibility and efficiency, enabling this method to open up a wide range of novel application options.
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References
Bauer C, Korthals M, Gronauer A, Lebuhn M (2008) Methanogens in biogas production from renewable resources – a novel molecular population analysis approach. Water Sci Technol 58:1433
Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, Mueller R, Nolan T, Pfaffl MW, Shipley GL, Vandesompele J, Wittwer CT (2009) The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem 55:611–622
Calli B, Mertoglu B, Inanc B, Yenigun O (2005) Community changes during start-up in methanogenic bioreactors exposed to increasing levels of ammonia. Environ Technol 26:85–91
Chen Y, Cheng JJ, Creamer KS (2008) Inhibition of anaerobic digestion process: a review. Bioresour Technol 99:4044–4064
Collins G, Kavanagh S, Mchugh S, Connaughton S, Kearney A, Rice O, Carrigg C, Scully C, Bhreathnach N, Mahony T, Madden P, Enright A, O’Flaherty V (2006) Accessing the black box of microbial diversity and ecophysiology: recent advances through polyphasic experiments. J Environ Sci Health Part A 41:897–922
Conklin A, Stensel HD, Ferguson J (2006) Growth kinetics and competition between Methanosarcina and Methanosaeta in mesophilic anaerobic digestion. Water Environ Res 78:486–496
Dar SA, Kleerebezem R, Stams AJM, Kuenen JG, Muyzer G (2008) Competition and coexistence of sulfate-reducing bacteria, acetogens and methanogens in a lab-scale anaerobic bioreactor as affected by changing substrate to sulfate ratio. Appl Microbiol Biotechnol 78:1045–1055
Demirel B, Scherer P (2008) The roles of acetotrophic and hydrogenotrophic methanogens during anaerobic conversion of biomass to methane: a review. Rev Environ Sci Biotechnol 7:173–190
Dhanasekaran S, Doherty TM, Kenneth J (2010) Comparison of different standards for real-time PCR-based absolute quantification. J Immunol Methods 354:34–39
Dworkin LL (2002) Real-time quantitative polymerase chain reaction diagnosis of infectious posterior uveitis. Arch Ophthalmol 120:1534–1539
Eggen RI, Geerling AC, Boshoven AB, Vos WM de (1991) Cloning, sequence analysis, and functional expression of the acetyl coenzyme A synthetase gene from Methanothrix soehngenii in Escherichia coli. J Bacteriol 173:6383–6389
Einen J, Thorseth IH, Øvreås L (2008) Enumeration of Archaea and Bacteria in seafloor basalt using real-time quantitative PCR and fluorescence microscopy. FEMS Microbiol Lett 282:182–187
Godornes C, Leader BT, Molini BJ, Centurion-Lara A, Lukehart SA (2007) Quantitation of rabbit cytokine mRNA by real-time RT-PCR. Cytokine 38:1–7
Haarman M, Knol J (2006) Quantitative real-time PCR analysis of fecal Lactobacillus species in infants receiving a prebiotic infant formula. Appl Environ Microbiol 72:2359–2365
Hori T, Haruta S, Ueno Y, Ishii M, Igarashi Y (2006) Dynamic transition of a methanogenic population in response to the concentration of volatile fatty acids in a thermophilic anaerobic digester. Appl Environ Microbiol 72:1623–1630
Jetten MS, Stams AJ, Zehnder AJ (1990) Acetate threshold values and acetate activating enzymes in methanogenic bacteria. FEMS Microbiol Lett 73:339–344
Kampmann K, Ratering S, Baumann R, Schmidt M, Zerr W, Schnell S (2012) Hydrogenotrophic methanogens dominate in biogas reactors fed with defined substrates. Syst Appl Microbiol 35:404–413
Karakashev D, Batstone DJ, Angelidaki I (2005) Influence of environmental conditions on methanogenic compositions in anaerobic biogas reactors. Appl Environ Microbiol 71:331–338
Klieve A, Hennessy D, Ouwerkerk D, Forster R, Mackie R, Attwood G (2003) Establishing populations of Megasphaera elsdenii YE 34 and Butyrivibrio fibrisolvens YE 44 in the rumen of cattle fed high grain diets. J Appl Microbiol 95:621–630
Klocke M, Nettmann E, Bergmann I, Mundt K, Souidi K, Mumme J, Linke B (2008) Characterization of the methanogenic Archaea within two-phase biogas reactor systems operated with plant biomass. Syst Appl Microbiol 31:190–205
Kröber M, Bekel T, Diaz NN, Goesmann A, Jaenicke S, Krause L, Miller D, Runte KJ, Viehöver P, Pühler A, Schlüter A (2009) Phylogenetic characterization of a biogas plant microbial community integrating clone library 16S-rDNA sequences and metagenome sequence data obtained by 454-pyrosequencing. J Biotechnol 142:38–49
Li Y, Wei S, Yu Z (2013) Feedstocks affect the diversity and distribution of propionate CoA transferase genes (pct) in anaerobic digesters. Microb Ecol 66:351–362
Lovley DR, Dwyer DF, Klug MJ (1982) Kinetic analysis of competition between sulfate reducers and methanogens for hydrogen in sediments. Appl Environ Microbiol 43:1373–1379
Lovley DR, Klug MJ (1983) Sulfate reducers can outcompete methanogens at freshwater sulfate concentrations. Appl Environ Microbiol 45:187–192
Ma J, Zhao B, Frear C, Zhao Q, Yu L, Li X, Chen S (2013) Methanosarcina domination in anaerobic sequencing batch reactor at short hydraulic retention time. Bioresour Technol 137:41–50
Moestedt J, Nilsson Påledal S, Schnürer A (2013) The effect of substrate and operational parameters on the abundance of sulfate-reducing bacteria in industrial anaerobic biogas digesters. Bioresour Technol 132:327–332
Narihiro T, Sekiguchi Y (2011) Oligonucleotide primers, probes and molecular methods for the environmental monitoring of methanogenic archaea. Microb Biotechnol 4:585–602
Nettmann E, Bergmann I, Pramschufer S, Mundt K, Plogsties V, Herrmann C, Klocke M (2010) Polyphasic analyses of methanogenic archaeal communities in agricultural biogas plants. Appl Environ Microbiol 76:2540–2548
Onime L, Zanfi C, Agostinis C, Bulla R, Spanghero M (2013) The use of quantitative real time polymerase chain reaction to quantify some rumen bacterial strains in an in vitro rumen system. Ital J Anim Sci 12.e85
Peu P, Brugere H, Pourcher A, Kerouredan M, Godon J, Delgenes J, Dabert P (2006) Dynamics of a pig slurry microbial community during anaerobic storage and management. Appl Environ Microbiol 72:3578–3585
Rabus R, Hansen T, Widdel F (2013) Dissimilatory sulfate- and sulfur-reducing prokaryotes. In: Rosenberg E, DeLong E, Lory S, Stackebrandt E, Thompson F (eds) The prokaryotes. Springer, Berlin, pp. 309–404
Rowe AR, Lazar BJ, Morris RM, Richardson RE (2008) Characterization of the community structure of a dechlorinating mixed culture and comparisons of gene expression in planktonic and biofloc-associated “Dehalococcoides” and Methanospirillum species. Appl Environ Microbiol 74:6709–6719
Sawayama S, Tsukahara K, Yagishita T (2006) Phylogenetic description of immobilized methanogenic community using real-time PCR in a fixed-bed anaerobic digester. Bioresour Technol 97:69–76
Schweiger G, Buckel W (1984) On the dehydration of (R)-lactate in the fermentation of alanine to propionate by Clostridium propionicum. FEBS Lett 171:79–84
Sekiguchi Y, Kamagata Y, Nakamura K, Ohashi A, Harada H (1998) Fluorescence in situ hybridization using 16S rRNA-targeted oligonucleotides reveals localization of methanogens and selected uncultured bacteria in mesophilic and thermophilic sludge granules. Appl Environ Microbiol 65:1280–1288
Shin SG, Lee S, Lee C, Hwang K, Hwang S (2010) Qualitative and quantitative assessment of microbial community in batch anaerobic digestion of secondary sludge. Bioresour Technol 101:9461–9470
Shin SG, Zhou BW, Lee S, Kim W, Hwang S (2011) Variations in methanogenic population structure under overloading of pre-acidified high-strength organic wastewaters. Process Biochem 46:1035–1038
Stantscheff R, Kuever J, Rabenstein A, Seyfarth K, Dröge S, König H (2014) Isolation and differentiation of methanogenic Archaea from mesophilic corn-fed on-farm biogas plants with special emphasis on the genus Methanobacterium. Appl Microbiol Biotechnol 98:5719–5735
Sterling MC, Lacey RE, Engler CR, Ricke SC (2001) Effects of ammonia nitrogen of H2 and CH4 production during anaerobic digestion of dairy cattle manure. Bioresour Technol 77:9–18
Traversi D, Villa S, Lorenzi E, Degan R, Gilli G (2012) Application of a real-time qPCR method to measure the methanogen concentration during anaerobic digestion as an indicator of biogas production capacity. J Environ Manag 111:173–177
Viljoen CD, Thompson GG, Sreenivasan S (2013) Stability of ultramer as copy number standards in real-time PCR. Gene 516:143–145
Vrieze J d, Hennebel T, Boon N, Verstraete W (2012) Methanosarcina: the rediscovered methanogen for heavy duty biomethanation. Bioresour Technol 112:1–9
Weiss A, Jérôme V, Freitag R, Mayer HK (2008) Diversity of the resident microbiota in a thermophilic municipal biogas plant. Appl Microbiol Biotechnol 81:163–173
Yun JJ (2006) Genomic DNA functions as a universal external standard in quantitative real-time PCR. Nucleic Acids Res 34:e85
Yu Y, Lee C, Kim J, Hwang S (2005) Group-specific primer and probe sets to detect methanogenic communities using quantitative real-time polymerase chain reaction. Biotechnol Bioeng 89:670–679
Zhang T, Fang HHP (2006) Applications of real-time polymerase chain reaction for quantification of microorganisms in environmental samples. Appl Microbiol Biotechnol 70:281–289
Zhu C, Zhang J, Tang Y, Zhengkai X, Song R (2011) Diversity of methanogenic Archaea in a biogas reactor fed with swine feces as the mono-substrate by mcrA analysis. Microbiol Res 166:27–35
Acknowledgments
We would like to thank the Deutsches Biomasseforschungszentrum gemeinnützige GmbH (DBFZ) for supplying and operating the experimental reactor and the provided laboratory analyses. This work was financially supported by the Fachagentur Nachwachsende Rohstoffe e.V. (FKZ 22001913), Germany.
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This article does not contain any studies with human participants or animals performed by any of the authors.
Funding
This study was funded by Fachagentur Nachwachsende Rohstoffe e.V., Germany (grant number FKZ 22001913).
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The authors declare that they have no competing interests.
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May, T., Koch-Singenstreu, M., Ebling, J. et al. Design and application of a synthetic DNA standard for real-time PCR analysis of microbial communities in a biogas digester. Appl Microbiol Biotechnol 99, 6855–6863 (2015). https://doi.org/10.1007/s00253-015-6721-z
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DOI: https://doi.org/10.1007/s00253-015-6721-z