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Metabolites  2014 

Cellulose Digestion and Metabolism Induced Biocatalytic Transitions in Anaerobic Microbial Ecosystems

DOI: 10.3390/metabo4010036

Keywords: nuclear magnetic resonance (NMR)-based metabolomic approach, heteronuclear correlation (HETCOR), metagenomic analysis, anaerobic ecosystem, carbohydrate-binding module (CBM)

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Abstract:

Anaerobic digestion of highly polymerized biomass by microbial communities present in diverse microbial ecosystems is an indispensable metabolic process for biogeochemical cycling in nature and for industrial activities required to maintain a sustainable society. Therefore, the evaluation of the complicated microbial metabolomics presents a significant challenge. We here describe a comprehensive strategy for characterizing the degradation of highly crystallized bacterial cellulose (BC) that is accompanied by metabolite production for identifying the responsible biocatalysts, including microorganisms and their metabolic functions. To this end, we employed two-dimensional solid- and one-dimensional solution-state nuclear magnetic resonance (NMR) profiling combined with a metagenomic approach using stable isotope labeling. The key components of biocatalytic reactions determined using a metagenomic approach were correlated with cellulose degradation and metabolic products. The results indicate that BC degradation was mediated by cellulases that contain carbohydrate-binding modules and that belong to structural type A. The degradation reactions induced the metabolic dynamics of the microbial community and produced organic compounds, such as acetic acid and propionic acid, mainly metabolized by clostridial species. This combinatorial, functional and structural metagenomic approach is useful for the comprehensive characterization of biomass degradation, metabolic dynamics and their key components in diverse ecosystems.

References

[1]  Conrad, R. The global methane cycle: Recent advances in understanding the microbial processes involved. Environ. Microbiol. Rep.?2009, 1, 285–292, doi:10.1111/j.1758-2229.2009.00038.x. 23765881
[2]  Chynoweth, D.P.; Owens, J.M.; Legrand, R. Renewable methane from anaerobic digestion of biomass. Renew. Energ.?2001, 22, 1–8, doi:10.1016/S0960-1481(00)00019-7.
[3]  Schink, B. Energetics of syntrophic cooperation in methanogenic degradation. Microbiol. Mol. Biol. Rev.?1997, 61, 262–280. 9184013
[4]  Date, Y.; Iikura, T.; Yamazawa, A.; Moriya, S.; Kikuchi, J. Metabolic sequences of anaerobic fermentation on glucose-based feeding substrates based on correlation analyses of microbial and metabolite profiling. J. Proteome Res.?2012, 11, 5602–5610. 23110341
[5]  Yamazawa, A.; Iikura, T.; Shino, A.; Date, Y.; Kikuchi, J. Solid-, solution-, and gas-state NMR monitoring of 13C-cellulose degradation in an anaerobic microbial ecosystem. Molecules?2013, 18, 9021–9033, doi:10.3390/molecules18089021.
[6]  Kikuchi, J.; Asakura, T. Use of 13C conformation-dependent chemical shifts to elucidate the local structure of a large protein with homologous domains in solution and solid state. J. Biochem. Biophys. Methods?1999, 38, 203–208, doi:10.1016/S0165-022X(98)00043-8.
[7]  Mao, J.D.; Holtman, K.M.; Franqui-Villanueva, D. Chemical structures of corn stover and its residue after dilute acid prehydrolysis and enzymatic hydrolysis: Insight into factors limiting enzymatic hydrolysis. J. Agric. Food Chem.?2010, 58, 11680–11687, doi:10.1021/jf102514r.
[8]  Mao, J.D.; Schmidt-Rohr, K. Accurate quantification of aromaticity and nonprotonated aromatic carbon fraction in natural organic matter by 13C solid-state nuclear magnetic resonance. Environ. Sci. Technol.?2004, 38, 2680–2684, doi:10.1021/es034770x.
[9]  Mori, T.; Chikayama, E.; Tsuboi, Y.; Ishida, N.; Shisa, N.; Noritake, Y.; Moriya, S.; Kikuchi, J. Exploring the conformational space of amorphous cellulose using NMR chemical shifts. Carbohydr. Polym.?2012, 90, 1197–1203, doi:10.1016/j.carbpol.2012.06.027.
[10]  Ogura, T.; Date, Y.; Kikuchi, J. Differences in cellulosic supramolecular structure of compositionally similar rice straw affect biomass metabolism by paddy soil microbiota. PLoS One?2013, 8, e66919, doi:10.1371/journal.pone.0066919.
[11]  Okushita, K.; Chikayama, E.; Kikuchi, J. Solubilization mechanism and characterization of the structural change of bacterial cellulose in regenerated states through ionic liquid treatment. Biomacromolecules?2012, 13, 1323–1330, doi:10.1021/bm300537k.
[12]  Okushita, K.; Komatsu, T.; Chikayama, E.; Kikuchi, J. Statistical approach for solid-state NMR spectra of cellulose derived from a series of variable parameters. Polym. J.?2012, 44, 895–900, doi:10.1038/pj.2012.82.
[13]  Komatsu, T.; Kikuchi, J. Selective signal detection in solid-state NMR using rotor-synchronized dipolar dephasing for the analysis of hemicellulose in lignocellulosic biomass. J. Phys. Chem. Lett.?2013, 4, 2279–2283, doi:10.1021/jz400978g.
[14]  Earl, W.L.; Vanderhart, D.L. Observations by high-resolution C-13 nuclear magnetic-resonance of cellulose-I related to morphology and crystal-structure. Macromolecules?1981, 14, 570–574, doi:10.1021/ma50004a023.
[15]  Vanderhart, D.L.; Atalla, R.H. Studies of microstructure in native celluloses using solid-state carbon-13 NMR. Macromolecules?1984, 17, 1465–1472, doi:10.1021/ma00138a009.
[16]  Everroad, R.C.; Yoshida, S.; Tsuboi, Y.; Date, Y.; Kikuchi, J.; Moriya, S. Concentration of metabolites from low-density planktonic communities for environmental metabolomics using nuclear magnetic resonance spectroscopy. J. Vis. Exp.?2012, 62, e3163. 22508363
[17]  Fukuda, S.; Nakanishi, Y.; Chikayama, E.; Ohno, H.; Hino, T.; Kikuchi, J. Evaluation and characterization of bacterial metabolic dynamics with a novel profiling technique, real-time metabolotyping. PLoS One?2009, 4, e4893, doi:10.1371/journal.pone.0004893. 19287504
[18]  Fukuda, S.; Toh, H.; Hase, K.; Oshima, K.; Nakanishi, Y.; Yoshimura, K.; Tobe, T.; Clarke, J.M.; Topping, D.L.; Suzuki, T.; et al. Bifidobacteria can protect host from enteropathgenic infection through production acetate. Nature?2011, 469, 543–547, doi:10.1038/nature09646.
[19]  Nakanishi, Y.; Fukuda, S.; Chikayama, E.; Kimura, Y.; Ohno, H.; Kikuchi, J. Dynamic omics approach identifies nutrition-mediated microbial interactions. J. Proteome Res.?2010, 10, 824–836. 21058740
[20]  Date, Y.; Nakanishi, Y.; Fukuda, S.; Kato, T.; Tsuneda, S.; Ohno, H.; Kikuchi, J. New monitoring approach for metabolic dynamics in microbial ecosystems using stable-isotope-labeling technologies. J. Biosci. Bioeng.?2010, 110, 87–93, doi:10.1016/j.jbiosc.2010.01.004.
[21]  McHardy, A.C.; Rigoutsos, I. What’s in the mix: Phylogenetic classification of metagenome sequence samples. Curr. Opin. Microbiol.?2007, 10, 499–503, doi:10.1016/j.mib.2007.08.004.
[22]  Gill, S.R.; Pop, M.; Deboy, R.T.; Eckburg, P.B.; Turnbaugh, P.J.; Samuel, B.S.; Gordon, J.I.; Relman, D.A.; Fraser-Liggett, C.M.; Nelson, K.E. Metagenomic analysis of the human distal gut microbiome. Science?2006, 312, 1355–1359, doi:10.1126/science.1124234.
[23]  Demain, A.L.; Newcomb, M.; Wu, J.H. Cellulase, clostridia, and ethanol. Microbiol. Mol. Biol. Rev.?2005, 69, 124–154, doi:10.1128/MMBR.69.1.124-154.2005.
[24]  Henrissat, B. A classification of glycosyl hydrolases based on amino acid sequence similarities. Biochem. J.?1991, 280, 309–316. 1747104
[25]  Boraston, A.B.; Bolam, D.N.; Gilbert, H.J.; Davies, G.J. Carbohydrate-binding modules: Fine-tuning polysaccharide recognition. Biochem. J.?2004, 382, 769–781, doi:10.1042/BJ20040892.
[26]  E-class, ECOMICS: Web tools for environmental and metabolic systems. Available online: https://database.riken.jp/ecomics/eclass/ (accessed on 20 December 2013).
[27]  ECOMICS, ECOMICS: Web tools for environmental and metabolic systems. Available online: https://database.riken.jp/ecomics/ (accessed on 20 December 2013).
[28]  Ogata, Y.; Chikayama, E.; Morioka, Y.; Everroad, R.C.; Shino, A.; Matsushima, A.; Haruna, H.; Moriya, S.; Toyoda, T.; Kikuchi, J. ECOMICS: A web-based toolkit for investigating the biomolecular web in ecosystems using a trans-omics approach. PLoS One?2012, 7, e30263, doi:10.1371/journal.pone.0030263.
[29]  Pearson, W.R.; Lipman, D.J. Improved tools for biological sequence comparison. Proc. Natl. Acad. Sci. USA?1988, 85, 2444–2448, doi:10.1073/pnas.85.8.2444.
[30]  FT2DB, ECOMICS: Web tools for environmental and metabolic systems. Available online: https://database.riken.jp/ecomics/chika/index2.html (accessed on 20 December 2013).
[31]  Sekiyama, Y.; Chikayama, E.; Kikuchi, J. Profiling polar and semipolar plant metabolites throughout extraction processes using a combined solution-state and high-resolution magic angle spinning NMR approach. Anal. Chem.?2010, 82, 1643–1652, doi:10.1021/ac9019076.
[32]  Solution structure of a cellulose-binding domain from Cellulomonas fimi by nuclear magnetic resonance spectroscopy. Available online: http://www.rcsb.org/pdb/explore.do?structureId=1EXG (accessed on 20 December 2013).
[33]  The role of conserved amino acids in the cleft of the C-terminal family 22 carbohydrate binding module of Clostridium Theermocellum XYN10B in ligand binding. Available online: http://www.rcsb.org/pdb/explore.do?structureId=1H6X (accessed on 20 December 2013).
[34]  Crystal structures of the family 9 carbohydrate-binding module from Thermotoga maritima xylanase 10A in native and ligand-bound forms. Available online: http://www.rcsb.org/pdb/explore.do?structureId=1I82 (accessed on 20 December 2013).
[35]  Protein Data Bank. Available online: http://www.rcsb.org/pdb/home/home.do (accessed on 20 December 2013).
[36]  Gilbert, H.J. The biochemistry and structural biology of plant cell wall deconstruction. Plant Physiol.?2010, 153, 444–455, doi:10.1104/pp.110.156646.
[37]  Jervis, E.J.; Haynes, C.A.; Kilburn, D.G. Surface diffusion of cellulases and their isolated binding domains on cellulose. J. Biol. Chem.?1997, 272, 24016–24023, doi:10.1074/jbc.272.38.24016.
[38]  Kellett, L.E.; Poole, D.M.; Ferreira, L.M.; Durrant, A.J.; Hazlewood, G.P.; Gilbert, H.J. Xylanase B and an arabinofuranosidase from Pseudomonas fluorescens subsp. cellulosa contain identical cellulose-binding domains and are encoded by adjacent genes. Biochem. J.?1990, 272, 369–376. 2125205
[39]  Blake, A.W.; McCartney, L.; Flint, J.E.; Bolam, D.N.; Boraston, A.B.; Gilbert, H.J.; Knox, J.P. Understanding the biological rationale for the diversity of cellulose-directed carbohydrate-binding modules in prokaryotic enzymes. J. Biol. Chem.?2006, 281, 29321–29329, doi:10.1074/jbc.M605903200. 16844685
[40]  Shoseyov, O.; Shani, Z.; Levy, I. Carbohydrate binding modules: Biochemical properties and novel applications. Microbiol. Mol. Biol. Rev.?2006, 70, 283–295, doi:10.1128/MMBR.00028-05.
[41]  Kono, H.; Erata, T.; Takai, M. Complete assignment of the CP/MAS C-13 NMR spectrum of cellulose IIII. Macromolecules?2003, 36, 3589–3592, doi:10.1021/ma021015f.
[42]  Kono, H.; Erata, T.; Takai, M. Determination of the through-bond carbon-carbon and carbon-proton connectivities of the native celluloses in the solid state. Macromolecules?2003, 36, 5131–5138, doi:10.1021/ma021769u.
[43]  Larsson, P.T.; Hult, E.L.; Wickholm, K.; Pettersson, E.; Iversen, T. CP/MAS C-13-NMR spectroscopy applied to structure and interaction studies on cellulose I. Solid State Nuclear Magn. Reson.?1999, 15, 31–40, doi:10.1016/S0926-2040(99)00044-2.
[44]  Larsson, P.T.; Westermark, U.; Iversen, T. Determination of the cellulose I alpha allomorph content in a tunicate cellulose by CP/MAS C-13-NMR spectroscopy. Carbohydr. Res.?1995, 278, 339–343, doi:10.1016/0008-6215(95)00248-0.
[45]  Larsson, P.T.; Wickholm, K.; Iversen, T. A CP/MAS C-13 NMR investigation of molecular ordering in celluloses. Carbohydr. Res.?1997, 302, 19–25, doi:10.1016/S0008-6215(97)00130-4.
[46]  Delaglio, F.; Grzesiek, S.; Vuister, G.W.; Zhu, G.; Pfeifer, J.; Bax, A. Nmrpipe—A multidimensional spectral processing system based on unix pipes. J. Biomol. NMR?1995, 6, 277–293. 8520220
[47]  Harris, D.M.; Corbin, K.; Wang, T.; Gutierrez, R.; Bertolo, A.L.; Petti, C.; Smilgies, D.M.; Estevez, J.M.; Bonetta, D.; Urbanowicz, B.R.; et al. Cellulose microfibril crystallinity is reduced by mutating C-terminal transmembrane region residues CESA1(A903V) and CESA3(T942I) of cellulose synthase. Proc. Natl. Acad. Sci. USA?2012, 109, 4098–4103, doi:10.1073/pnas.1200352109. 22375033
[48]  Date, Y.; Sakata, K.; Kikuchi, J. Chemical profiling of complex biochemical mixtures from various seaweeds. Polymer J.?2012, 44, 888–894, doi:10.1038/pj.2012.105.
[49]  HetMap, ECOMICS: Web tools for environmental and metabolic systems. Available online: https://database.riken.jp/ecomics/chika/ (accessed on 20 December 2013).

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