and E nhanced e X pression Team: IIT Madras Indian Institute of - - PowerPoint PPT Presentation
and E nhanced e X pression Team: IIT Madras Indian Institute of - - PowerPoint PPT Presentation
P hotonivorous Bacteria for R esolution and E nhanced e X pression Team: IIT Madras Indian Institute of Technology Madras Selection Markers for Screening Antibiotic Metabolic Resistance Markers Negative selection Positive selection
Selection Markers for Screening
Antibiotic Resistance
Negative selection markers More risky horizontal gene transfer
Metabolic Markers
Positive selection markers Limited strains of cells that can be used
Proteorhodopsin
P R P R P R H+ H+ H+ H+ H+ + ATP Retinal ATP Synthase
Oxidative Phosphorylation
Electron Transport Chain H+ H+ H+ H+ Glycolysis Carbon Source ATP ATP Synthase
Electron Transport Chain H+ Glycolysis Carbon Source ATP Synthase
Photophosphorylation to the rescue
Electron Transport Chain H+ P R P R P R H+ H+ H+ H+ H+ Glycolysis + Carbon Source ATP Retinal ATP Synthase
Minimal Media
Electron Transport Chain H+ H+ H+ H+ Glycolysis Carbon Source ATP ATP Synthase
Minimal Media with PR
Electron Transport Chain H+ P R P R P R H+ H+ H+ H+ H+ Glycolysis + Carbon Source ATP Retinal ATP Synthase
Recombinant protein production in Minimal Media
Electron Transport Chain H+ H+ H+ H+ Glycolysis Carbon Source ATP ATP Synthase
Recombinant Protein
Recombinant protein production in Minimal Media
Electron Transport Chain H+ P R P R P R H+ H+ H+ H+ H+ Glycolysis + Carbon Source ATP Retinal ATP Synthase
Recombinant Protein
SunScreen – Light based Screening of Clones
Minimal Media
(containing Retinal)
Project Sunscreen - Design
BBa_K572005 Proteorhodopsin Coding Gene BBa_K572005 BBa_B0034 BBa_B0015 BBa_K572006 Proteorhodopsin Generator BBa_K572005 BBa_B0034 BBa_B0015 T7 Promoter BBa_K572007 IPTG induced Proteorhodopsin Generator BBa_K572005 BBa_B0034 BBa_J23119 BBa_B0015 BBa_K572008 Constitutive Proteorhodopsin Generator
INPUTS
- Protein sequence
- Number and positions
- f Mutations
- Range of Tm, %GC and
Length of primers
OUTPUTS
- Primer Sequence
- Tm, %GC and
Length PRIMER
Characterization of Proteorhodopsin
0.2 0.4 0.6 0.8 1
IPTG+ Light- IPTG+ Light+
Relative number of CFUs Azide Negative Samples Azide Treated Samples
Azide Test on BL21 with PR
K572005 Over Expression of GPR in BL21DE3
.
15% SDS PAGE gel showing the IPTG induction of PR expression
Time after induction
28 kDA
Project Sunscreen - Design
BBa_K572009 Mouse Beta-Carotene Dioxygenase Coding Gene BBa_K572009 BBa_B0034 BBa_B0015 Dioxygenase Generator BBa_K572009 BBa_B0034 BBa_J23119 BBa_B0015 Constitutive Dioxygenase generator
CrtEBIY
Retinal Biosynthesis
β-Diox
BBa_K274210: Endogenous synthesis of beta-carotene BBa_K572009: Mouse Beta Carotene Dioxygenase converts beta carotene to Trans-Retinal Retinal with PR in presence
- f light helps in development
- f proton gradient
pSB1Pc – Cloning Vector
P S X E
BBa_K572100
Proteorhodopsin
BBa_K572005
Backbone of pSB1C3, without Chloramphenicol Resistance Gene
*Adam M Feist et al 2007, A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information, Molecular Systems Biology ** Walter et al 2006, “Light empowering Escherichia coli with proteorhodpsin”
Hypothesis: Increase in growth rate due to Proteorhodopsin proton efflux in minimal carbon media
Proteorhodopsin
ATP Synthase Genomic Scale Metabolic Pathway
H+ H+ H+ H+
Model - Design
*Adam M Feist et al 2007, A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information, Molecular Systems Biology ** Walter et al 2006, “Light empowering Escherichia coli with proteorhodpsin”
SBML
- Network Composition (*, **)
- Reaction and Specie parameters
COBRA
- SBML toolbox, MATLAB
- Setting up model in COBRA (readCbModel)
Model • Model validated using literature data Analysis • Growth rate variation from WT to PR
Hypothesis: Increase in growth rate due to Proteorhodopsin proton efflux in minimal carbon media
Metabolic Modeling
Glucose Uptake flux (mmol/g-dw hr) Growth Rate
(hr-1)
Model_WT Growth Rate
(hr-1)
Model_PR Complete Inhibition (Azide)
2 3 0.0035 4 0.0257 0.0306 5 0.0528 0.0577 6 0.0799 0.0848 8 0.134 0.1389 10 0.1882 0.1931 12 0.2423 0.2472
70% Inhibition (Azide)
2 0.1576 0.16 3 0.2449 0.2473 4 0.3322 0.3346 5 0.4195 0.422 6 0.5068 0.5093 8 0.6785 0.6831 10 0.7609 0.7655 12 0.8433 0.8479
Model
Simulations for Validations
Model
Simulations to find minimal media
Glucose uptake Rate (mmol / g-dw hr) model_WT model_PR 0.35 0.0014 0.4 0.0042 0.0062 0.5 0.0139 0.016 0.6 0.0236 0.0257 0.9 0.0528 0.0548 2 0.1589 0.1609 3 0.2552 0.2572 4 0.3515 0.3535 5 0.4478 0.4499 6 0.5441 0.5461 8 0.7367 0.7387 10 0.8856 0.8901 12 0.968 0.9725
Effectors of Growth Rate
10 20 30 40 50
Global Negative (R-I-A-L-) Retinal+ IPTG+ Azide+ Light+
Colony Forming Units
DH5α Controls
IPTG Cytotoxicity proved
Cytotoxic effects of various inputs
Effectors of Growth Rate
The least concentration of Dextrose (0.2g/l) show a negligible growth rate. Thus, it can be used in further experiments as a selection pressure.
0.5 1 1.5 2 2.5 1 2 3 4 5 6 7 8 9 Cell concentration (g/l) Time (Hour) LB 0.2 g/l 0.4 g/l 1 g/l 3 g/l 5 g/l
Growth Profiles based on different Dextrose Concentrations
0.2 0.4 0.6 0.8 1 5 10 15 Cell Conc (g/l) Time (hr)
Growth Profile : LB vs M9 Media (IPTG Induced)
pET41a+PR(IPTG Induced) in Minimal Media pET41a+PR (IPTG Induced) in LB
Experiments
0.5 1 1.5 2 2.5 3 2 4 6 8 Specific growth rate (Hour -1) time(hour)
Comparison of rate of change
- f specific growth rate
IPTG Induced PR+pET41a in LB PR+pET41a Control in LB 0.5 1 1.5 2 2.5 3 2 4 6 8 10 Specific Growth rate (Hour-1) Time (Hour)
Comparison of specific growth rate in M9 media
IPTG Induced5g/l M9 media 5g/l M9 media Control 0.2 M9 Media control
Project Artemis - Design
BBa_K081014/mRFP1 gen BBa_K118011 (PcstA) Carbon Stress Induced Promoter
BBa_K572001 : Carbon Stress Response Indicator
Substrate Availability
Time Bba_K572001
525 nm 584 nm RFP GPR
Absorption Spectrum Wavelength
0.5 1 1.5 2 2.5 2 4 6 8 OD600 Time (Hours)
Growth Profile
0.02 0.1 0.5 LB LB+0.2 100 200 300 400 500 600 700 2 4 6 8 RLU/OD600 Time (Hours)
RFP Expression
0.02 0.1 0.5 LB LB+0.2
As viewed under a fluorescence microscope, RFP being expressed in DH5α with PcstA promoter
PcstA promoter characterization
P S X E
BBa_K572200
Proteorhodopsin
BBa_K572005
Backbone of pSB1C3, without Chloramphenicol Resistance Gene
pSB1Pe – Expression Vector
PcstA
Milestones
Carbon stress expression indicator (BBa_K572001) characterized and works as expected Proteorhodopsin coding gene (BBa_K572005) modified to Parts Registry Standard 10, characterized and works as expected. Beta-carotene dioxygenase (BBa_K572009) modified to Parts Registry standard 10 and submitted. Improved and characterized existing part PcstA promoter (BBa_K118011) activity
Milestones
Created software tool for generating Site Directed Mutagenesis primers for silent mutation of Parts Registry Standard restriction enzyme sites from coding sequence Designed a computational model and validated that PR confers metabolic advantage to cells under carbon stress. Designed pSB1Pe & pSB1Pc - plasmids with PR selectivity marker
Way Ahead
- Characterize plasmid pSB1PC and pSB1PE for media with
different carbon substrates.
- Proteorhodopsin in B.subtilis and Agrobacterium sp for
- Hyaluronic acid Production
- Curdlan production
- Anaerobic phased solid digestor for PR expressing bacteria
- Characterize Blue Light Absorbing PR
References
- 1. Walter et al 2006, “Light empowering Escherichia coli with proteorhodpsin”
- 2. Martinez et al 2006, “Proteorhodopsin photosystem gene expression enables
photophosphorylation in a heterologous host”
- 3. Jagannath et al 2009,”Influence of competing metabolic processes on the molecular weight of
hyaluronic acidsynthesized by Streptococcus zooepidemicus”
- 4. Yu et al 2007,”Metabolic engineering of Escherichia coli for biosynthesis of hyaluronic acid”
- 5. Adam M Feist et. al "A genome-scale metabolic reconstruction for Escherichia coli K-12
MG1655 that accounts for 1260 ORFs and thermodynamic information"
Acknowledgement
- Kwang-Hwan "Kevin" Jung, Ph.D., Associate Professor,
Department of Life Science and Institute of Biological Interfaces, Sogang University, Korea for sending us the plasmid (pKJ900) with proteorhodopsin gene.
- Prof. Karthik Raman of IIT Madras who helped our
team in efficient modelling of our Project
- Mr. Shrikumar Suryanarayan, Adjunct Professor, IITM,
for his financial assistance and encouragement
- Prof. K B Ramachandran and Prof. Mukesh Doble,
Department of Biotechnology IIT Madras for their constant support and encouragement
- IITM and IITMAA for their financial support
Acknowledgement
Advisors :
- Dr. G K Suraishkumar and DR. Nitish R