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The ‘Photanol’ Process: Cyanobacteria for simple solar fuel

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1 The ‘Photanol’ Process: Cyanobacteria for simple solar fuel
Kornel Golebski, Andreas Angermayr, Ginny Anemaet Joost Teixeira de Mattos & Klaas J. Hellingwerf Swammerdam Institute for Life Sciences & Netherlands Institute for Systems Biology University of Amsterdam 31/03/2009 the photanol process

2 A little bit of history A Round-Table Discussion held during the 10th FEBS Meeting in Paris (July 25, 1975) considered the different approaches by which Biological Systems might be used to convert ambient solar energy into more useful energy forms. 31/03/2009 the photanol process

3 The problem: “Man does not have much choice. Either we trust the physicist to make us a sun without blowing us up, or we let the bioenergeticists use our present one. Otherwise, we won’t last more than a hundred years or so. This is an exciting challenge for the bioenergetics of tomorrow.” 31/03/2009 the photanol process

4 The proposed solution:
PSII PSI e- H2O O2 H+ macroscopic membrane hydrogenase H2 Brh funding 31/03/2009 the photanol process

5 What is needed.. Use the auto-regenerative capacity of living organisms A solution for solar fuel with as few conversions as possible (0.334 = 0.01!) fuels For any large-scale process, only H2O is a realistic electron donor 31/03/2009 the photanol process

6 Some current biofuel technologies (1)
Waste, chemicals, land. Not discuss economical/political. Algae better From: Esper, Badura and Rögner (2006) Trends in Plant Science 11: 31/03/2009 the photanol process

7 Some current biofuel technologies (2)
1 Grow crops on land 2 Grow algae in ponds Harvest organic matter Harvest cells Transport to bioreactor & fractionate Transport to separator extraction & modification Waste, chemicals, land. Not discuss economical/political. Algae better fermentation biofuel + Waste Biodiesel (e.g. fatty acid methyl esters) Mostly ethanol 31/03/2009 the photanol process

8 The photanol approach First generation:
Starch from corn or sugar cane fermented into ethanol by yeasts or palm oil trans-esterified to biodiesel. Second generation: More recalcitrant bio-polymers fermented to alcohol(s) or biodiesel produced by marine algae. Third generation: “Photanol” 31/03/2009 the photanol process

9 Unity of life & the broken circle
(plants, bacteria) E CO2 + H2O Cells + O2 CO2 (animals, fungi, bacteria) Billions of years storage, released in 150 years  energy Earth’ surface fossil fuels 31/03/2009 the photanol process

10 The 2 modes of life H2O reducing power + ATP + O2 Organic C
1 Light-dependent life (plants, bacteria) ((Chloro)Phototrophy) H2O reducing power + ATP + O2 Some high school biology Reducing power + CO2 + ATP Organic C Cells 31/03/2009 the photanol process

11 Chloro-Phototrophy; optimized during billions of generations
The light reactions of photosynthesis: Light + dark reaction, focus latter 31/03/2009 the photanol process

12 Chloro-Phototrophy; optimized during billions of generations
NADPH + ATP O2 Light reaction Dark reaction Dark reaction CO2 Light + dark reaction, focus latter 1/3 GAP Glyceraldehyde-3-P 31/03/2009 the photanol process

13 GAP Phototrophy Cells CO2 H2O O2 hn Light reaction PS II PS I
NADP NADPH H2O O2 ATP hn Dark reaction Cells GAP CO2 ADP Again, note GAP 31/03/2009 the photanol process

14 The 2 modes of life Organic C + O2 Organic C + O2 ATP + CO2 + H2O
2 Organic matter-dependent life (Chemotrophy) a) respiration (animals, fungi, bacteria) Organic C + O2 Organic C + O2 ATP + CO2 + H2O Organic C + ATP Cells b) fermentation (fungi, bacteria) Organic C Cells + FERMENTATION PRODUCTS b): occurs when O2 is lacking or organic C is abundant; well-known as “overflow metabolism” in E. coli, LAB and yeast 31/03/2009 the photanol process

15 Chemotrophy: optimized for billions of generations
(Ethanol, propanol, butanol, propanediol, glycerol, acetone, lactate, acetate, ) Organic matter Fermentation products Pyruvate Glyceraldehyde-3-P (GAP) F-1,6-BP NAD(P)H, ATP NAD(P)H, (ATP) The other mode but note GAP 31/03/2009 the photanol process

16 GAP Photofermentation CO2 Cells H2O O2 hn Fermentation products
Light reaction PS II PS I NADP NADPH H2O O2 ATP hn Dark reaction CO2 GAP Cells ADP Fermentation Fermentation products Fusion of the 2 modes CO2 + H2O  fuel + O2!! 31/03/2009 the photanol process

17 Fermentation pathways
31/03/2009 the photanol process

18 Some successful pathway insertions
Bermejo et al (Acetone production in E. coli (Clostridium acetobutylicum pathway) ) Deng and Coleman (EtOH production in Synechococcus sp. (pdc and adh from Zymomonas mobilis) ) Takahama et al (Ethylene in Synechococcus sp. (efe from P. syringiae) ) Fu (EtOH production in Synechocystis sp. PCC 6803) Pirkov et al (Ethylene production in S. cerevisiae (efe from P. syringiae) ) Shen and Liao (1-Butanol and 1-Propanol in E. coli) Tang et al (Propanediol in E. coli (genes from Clostridium butyricum)) 31/03/2009 the photanol process

19 Synechocystis sp. PCC 6803 Unicellular prokaryote Genome sequenced
Auto- and heterotrophic Effective photosynthesis Model organism for photosynthesis Defined (simple) growth media Naturally transformable Grows to high densities Circadian rhythm doubling time ~8h 6 to 10 genomes per cell Low maintenance energy req. EM photograph, scale bar 200nm 31/03/2009 the photanol process

20 Constructing a photofermentative strain
Host: phototrophic Synechocystis PCC6803 Donor: chemotrophic bacterial species HOM1 HOM2 wt genome plasmid goi GAP EtOH genes PCR recombination Standard gene technology expression 31/03/2009 the photanol process

21 (in)complete segregation
Cloning in the psbA2 locus of Synechocystis M P N Colony PCR of pAAA2 transformants. M is marker. P is positive control. N is negative control. Transformants grown on 4ug/ml kanamycin. No correct insertion in transformants 4, 5, 7, 8, 10; not fully segregated transformants 1, 2, 3, 6, 9; full segregation in 11, 12, 13, 14, 15, 16, 17 Tested clones M C- C+ 2kbp 5kbp Example of incomplete segregation 31/03/2009 the photanol process

22 Ethanol synthesis by genetic engineering in Cyanobacteria
From: Ming-De Deng and John R. Coleman (1999) Applied & Environm. Microbiol. 65: FIG. 4.   Cell growth and ethanol synthesis in Synechococcus sp. strain PCC 7942 transformed with pCB4-LRpa. Cells were grown at 30°C in the presence of light in a 500-ml liquid batch culture aerated by forcing air through a Pasteur pipette. Samples were taken at intervals in order to monitor cell growth (OD730) and ethanol accumulation in the culture medium. The PDC and ADH activities in cell lysates on day 5 were 320 and 170 nmol · min 1 · mg of total protein 1, respectively. 31/03/2009 the photanol process

23 ‘Photofermentation’: the best of both worlds
cells CO2 + H2O fuel + O2!! Cells are auto-regenerative catalysts of the process The fuel molecules can stably coexist with oxygen Production is not limited by the storage capacity of the cells It is possible to form the product in volatile form Process can be run in a closed large-scale photobioreactor Fusion of the 2 modes 31/03/2009 the photanol process 23

24 Biological incompatibility: methanogenesis
Fdred H2 CO2 Formyl-MFR Formyl-H4MPT Methenyl-H4MPT H2 Enzymes involved are extremely oxygen-sensitive and have several very uncommon cofactors H2F420 What you would like but. Incomplete scheme but shows Different Cofactors, different protein synthesis, highly oxygen sensitive Methyl-H4MPT Methyl-S-CoM HS-CoB CH4 31/03/2009 the photanol process

25 Regulation of fuel formation: The GAP branchpoint
A~CO2 B GAP A Eg Ep D E Fluxgrowth = [Eg].vmax. [PGA] Km + [PGA] cassette Cloning is easy, but what is the effect on flux Fluxproduct = [Ep].vmax. [PGA] Km + [PGA] 31/03/2009 the photanol process

26 The Photanol Process: Genetic Process control
A~CO2 B D E A cassette Promoter product NH4 + GAP CO2 Brute force but elegant Ammonia availability is often used as a control parameter to regulate biomass formation (cells: “C4H7O2N”) 31/03/2009 the photanol process

27 Nitrogen sensing in Synechocystis
N-excess a-oxoglutarate + NH4 + glutamate + proteins NtcA NtcA-aOG X sE - PSigE SigE Pgap1 Gene cassette gap1 N-depletion Gene cassette + Pgap1 gap1 a-oxoglutarate + NH4 glutamate proteins NtcA NtcA-aOG PSigE SigE sE ~ 31/03/2009 the photanol process

28 N-dependent fuel cassette expression
N-excess N starvation 2OG + N Glu protein Ntca 12 3-P-Glycerate 12 1,3-bPG 6 CO2 5 R1,5bP 10 GAP 2 GAP P P Growth Hexose-P 5 FbP thl crt NH4 + growth etf 4hbd 2 phases, +/- N, growth/prod ald bdh Butanol 31/03/2009 the photanol process time

29 N-dependent fuel cassette expression
N-excess N starvation 2OG + N Glu protein Ntca + 2OG Ntca~2OG 12 3-P-Glycerate 12 1,3-bPG se 6 CO2 + 5 R1,5bP 10 GAP 2 GAP P + Growth Hexose-P 5 FbP thl NH4 + crt 4hbd etf product ald bdh Butanol growth growth 31/03/2009 the photanol process time

30 ‘Back-of-the-envelope’ calculation
1 acre = m2 1 year has 107 seconds of sunlight ( ) Sunlight intensity (PAR): 600 μE.m-2.s-1  Einstein/acre/year Complete conversion of light energy to ethanol: 12 photons per ethanol: 2 CO2 + 3 H2O  C2H6O + 3 O2 Maximal productivity: moles ethanol/year/acre ~ 100 ton ethanol/year/acre 31/03/2009 the photanol process

31 Large-scale culturing
Tubular system Raceway pond Flat panel system Extensive expertise is being generated with respect to the scale-up of culturing systems; systems can be used in ‘open’ and ‘closed’ form (e.g. Wijffels c.s.) All systems have in common that the fuel-producing cells are exposed to oscillating light regimes, with typical frequencies ranging from minutes (depending on mixing regime) to 24 hrs. 31/03/2009 the photanol process

32 Some regulatory mechanisms in the photosynthesis of Synechocystis
a] State transitions of phycobilisomes b] Non-photochemical, IsiA and/or OCP-mediated quenching c] zeaxanthin cycle d] Regulation of expression ratio of PSI/PSII/Antennae e] Circadian regulation of gene (photosystem) expression f] NDH (and FNR) mediated cyclic electron transfer around PSI g] Cyclic electron transfer around PSII h] PSI trimerization, PSII dimerization, IsiA and iron limitation i] Variation of antenna size (j] Chromatic adaptation)  a Systems Biology-based optimization is necessary 31/03/2009 the photanol process

33 Circadian regulation of gene expression
Dong G and Golden SS (2008) How a cyanobacterium tells time. Curr Opin Microbiol. 11: Figure 2. An overview of the molecular mechanism of the circadian clock in S. elongatus. The central oscillator is composed of KaiA, KaiB, and KaiC. KaiA stimulates KaiC phosphorylation, and KaiB inactivates KaiA when KaiC reaches a certain phosphorylation state (see Figure 1 for details). In the input pathway, both LdpA and CikA sense the cellular redox state, which is regulated by light and cell metabolism. LdpA affects the stability of CikA and KaiA through an unknown mechanism. Through its PsR domain, CikA binds quinone molecules directly, which destabilizes CikA. CikA affects the phosphorylation states of KaiC, but where and how it works in the signal transduction pathway is unknown. Pex is a transcriptional repressor of KaiA, and its abundance is sensitive to light, but it is not clear whether the pathway that regulates pex senses light directly or does it through cellular redox. In the output pathway, SasA interacts physically with KaiC and autophosphorylates, and then transfers the phosphoryl group to RpaA, a response regulator with a DNA-binding domain. The target of RpaA has not been identified. LabA works upstream of RpaA and downstream of KaiC, but its exact function is not clear. A SasA-independent and RpaA-independent output pathway might exist. The output pathway controls DNA topology, which is proposed to regulate global gene expression. A transcription/translation rhythm could interact with and reinforce the post-translational rhythm of KaiC activities. A solid line indicates a direct effect whereas a dotted line indicates an indirect effect or an effect whose mechanism is unknown. Arrows indicate the direction of the information flow or a stimulation of activity or both. Blunt ends represent an inhibition of protein activity or abundance, whereas an end with a filled circle suggests a regulation of unspecified direction. 7 sigma factors of three different classes 31/03/2009 the photanol process

34 Cyanobacteria do it during the day
Two interesting physiologies may occur at night: 1] oxidative catabolism (‘glycogen’  CO2) 2] anaerobic fermentation (‘glycogen’  organic acids) Feasibility of supportive LED illumination during the night? 31/03/2009 the photanol process

35 Summary of the Photanol Process
ATP, NADPH cells Clean fuel production CO2 consuming Cheap technology Not competing with food stocks Principle generally applicable: ethanol, butanol, etc Yield per year per surface: up to 20x higher than plant crops xCO2 + yH2O CxH2yOz + (x+0.5y-0.5z)O2 31/03/2009 the photanol process

36 Dreams 31/03/2009 the photanol process 36


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