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Logo of bmcmicrBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Microbiology
 
BMC Microbiol. 2012; 12: 214.
Published online Sep 21, 2012. doi:  10.1186/1471-2180-12-214
PMCID: PMC3492117
Proteomic analysis of Clostridium thermocellum core metabolism: relative protein expression profiles and growth phase-dependent changes in protein expression
Thomas Rydzak,1 Peter D McQueen,2 Oleg V Krokhin,2 Vic Spicer,3 Peyman Ezzati,2 Ravi C Dwivedi,2 Dmitry Shamshurin,2 David B Levin,4 John A Wilkins,2 and Richard Sparlingcorresponding author1
1Department of Microbiology, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
2Department of Internal Medicine & Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, MB, R3E 3P4, Canada
3Department of Physics & Astronomy, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
4Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB, R3T 3V6, Canada
corresponding authorCorresponding author.
Thomas Rydzak: tom8_98/at/hotmail.com; Peter D McQueen: mcqueen.p/at/gmail.com; Oleg V Krokhin: krokhino/at/cc.umanitoba.ca; Vic Spicer: vspicer/at/cc.umanitoba.ca; Peyman Ezzati: ezzati/at/cc.umanitoba.ca; Ravi C Dwivedi: dwivedi/at/cc.umanitoba.ca; Dmitry Shamshurin: dimsham/at/gmail.com; David B Levin: levindb/at/cc.umanitoba.ca; John A Wilkins: jwilkin/at/cc.umanitoba.ca; Richard Sparling: Richard_sparling/at/umanitoba.ca
Received May 25, 2012; Accepted September 11, 2012.
Abstract
Background
Clostridium thermocellum produces H2 and ethanol, as well as CO2, acetate, formate, and lactate, directly from cellulosic biomass. It is therefore an attractive model for biofuel production via consolidated bioprocessing. Optimization of end-product yields and titres is crucial for making biofuel production economically feasible. Relative protein expression profiles may provide targets for metabolic engineering, while understanding changes in protein expression and metabolism in response to carbon limitation, pH, and growth phase may aid in reactor optimization. We performed shotgun 2D-HPLC-MS/MS on closed-batch cellobiose-grown exponential phase C. thermocellum cell-free extracts to determine relative protein expression profiles of core metabolic proteins involved carbohydrate utilization, energy conservation, and end-product synthesis. iTRAQ (isobaric tag for relative and absolute quantitation) based protein quantitation was used to determine changes in core metabolic proteins in response to growth phase.
Results
Relative abundance profiles revealed differential levels of putative enzymes capable of catalyzing parallel pathways. The majority of proteins involved in pyruvate catabolism and end-product synthesis were detected with high abundance, with the exception of aldehyde dehydrogenase, ferredoxin-dependent Ech-type [NiFe]-hydrogenase, and RNF-type NADH:ferredoxin oxidoreductase. Using 4-plex 2D-HPLC-MS/MS, 24% of the 144 core metabolism proteins detected demonstrated moderate changes in expression during transition from exponential to stationary phase. Notably, proteins involved in pyruvate synthesis decreased in stationary phase, whereas proteins involved in glycogen metabolism, pyruvate catabolism, and end-product synthesis increased in stationary phase. Several proteins that may directly dictate end-product synthesis patterns, including pyruvate:ferredoxin oxidoreductases, alcohol dehydrogenases, and a putative bifurcating hydrogenase, demonstrated differential expression during transition from exponential to stationary phase.
Conclusions
Relative expression profiles demonstrate which proteins are likely utilized in carbohydrate utilization and end-product synthesis and suggest that H2 synthesis occurs via bifurcating hydrogenases while ethanol synthesis is predominantly catalyzed by a bifunctional aldehyde/alcohol dehydrogenase. Differences in expression profiles of core metabolic proteins in response to growth phase may dictate carbon and electron flux towards energy storage compounds and end-products. Combined knowledge of relative protein expression levels and their changes in response to physiological conditions may aid in targeted metabolic engineering strategies and optimization of fermentation conditions for improvement of biofuels production.
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