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Page 1: Development of a light-switchable gene expression system in … · 11 CI dosage required for optimal gene regulation 23 12(a-d) Comparison of light-switchable gene expression system

저 시-비 리- 경 지 2.0 한민

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Page 2: Development of a light-switchable gene expression system in … · 11 CI dosage required for optimal gene regulation 23 12(a-d) Comparison of light-switchable gene expression system

Development of a light-switchable gene expression

system in Escherichia coli

Jae Myung Lee

Bioengineering Major

School of Nano-Bioscience and Chemical Engineering

Graduate school of UNIST

2011

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Development of a light-switchable gene expression

system in Escherichia coli

Jae Myung Lee

Bioengineering Major

School of Nano-Bioscience and Chemical Engineering

Graduate school of UNIST

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Development of a light-switchable gene expression

system in Escherichia coli

A thesis

submitted to the School of Nano-Bioscience and Chemical Engineering

and the Graduate School of UNIST

in partial fulfillment of the

requirements for the degree of

Master of Science

Jae Myung Lee

6. 17. 2011

Approved by

Major Advisor

Sung Kuk Lee, Ph. D.

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Development of a light-switchable gene expression

system in Escherichia coli

Jae Myung Lee

This certifies that the thesis of Jae Myung Lee is approved.

6. 17. 2011

Thesis Supervisor: Sung Kuk Lee, Ph. D.

Cheol-Min Ghim, Ph. D.

Taesung Kim, Ph. D.

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i

Abstract

Light-mediated regulation of gene expression has become a rapidly advancing area of research

across many fields of science and engineering. When light is used as an inducer of gene expression, it

gains several advantages over other chemical inducers. In contrast to chemical inducers, light offers

switchable gene expression without an alteration in metabolic conditions and it is a simple-to-use,

inexpensive inducer. Levskaya et al. previously constructed a light-inducible promoter system in

Escherichia coli by using a hybrid combination of a two-component system EnvZ/OmpR of E. coli

and a cyanobacterial phytochrome, Cph1. However, this system cannot provide a coordinated control

of the expression of multiple genes encoding for the enzymes of different metabolic pathways. Here,

we developed a new light-switchable gene expression system using the λ cI protein as a

transcriptional repressor of target genes. This synthetic sensory system can help control both

chromosomal and plasmid-borne genes. We also found that the main parameters that determine the

extent and duration of the light-switchable gene expression. The light-switchable promoter systems

could be applied effectively in metabolic engineering and synthetic biology.

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Contents

Abstract i

Contents iii

List of figures v

List of tables vi

Nomenclature vii

1 Introduction 1

1.1 Light-sensing systems 3

1.2 Two-component systems in E. coli 4

1.3 Promoter-based gene expression systems 5

1.4 Protein degradation tags 6

2 Materials and methods 8

2.1 Bacterial strains and growth conditions 8

2.2 Strain construction 9

2.3 Plasmid construction 13

2.3.1 RBSDesigner: software for designing synthetic ribosome binding sites 16

2.4 β-galactosidase assay 17

2.5 Measurement of GFP expression 17

2.6 Light controllable equipment “LabVIEW” 17

3 Results 18

3.1 Components of the light-switchable promoter system 18

3.2 Evaluation of a light sensing module, holo-Cph8 20

3.3 Validation of reporter plasmids 21

3.4 Assessment of CI repressor 22

3.5 Effect of light duration on the CI repressible promoters 23

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3.6 Oscillating gene expression 25

3.7 Effect of the degradation tag on the oscillation of gene expression 26

4 Discussion 27

4.1 Superiority of the light-switchable system 27

4.1.1 Industrially profitable traits of light-switchable gene expression 27

4.1.2 Efficacy of chemical and physical inducers on gene expression 28

4.2 Improvements in light-switchable gene expressions 28

4.2.1 Key parameters that account for the regulation of multiple genes 28

4.3 Applications of light-switchable gene expression systems 29

5 Conclusion 30

Reference 31

Acknowledgements 39

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List of figures

Number

1 Biosynthesis of phycocyanobilin and phytochromobilin 4

2 Schematic model of SsrA-tagged protein degradation 7

3(a) Strategy for chromosomal gene deletion with λ- red recombination system 11

3(b) Strategy for replacement of ompC with cI-LVA 12

4(a) Map of pProbe-pLGFP 15

4(b) Schematic representation of synthetic promoter, CI binding site and GFP 15

4(c) Sequence of PL, PCP6 and PCP12 15

5 RBSdesigner software 16

6 LabVIEW instrument 18

7 Schematic model of strain JM1012 19

8 Verification of light-sensing module 20

9 Effect of different wavelengths on gene expression 21

10 Verification of reporter plasmids 22

11 CI dosage required for optimal gene regulation 23

12(a-d) Comparison of light-switchable gene expression system in light to switch gene from

OFF state to ON state

24

12(e-h) Comparison of light-switchable gene expression system in light to switch gene from

ON state to OFF state

25

13 Light-mediated oscillation in gene expression 26

14 Rapid turn-over of GFP mediated by LVA/AAV tags 27

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List of tables

Number

1 Commonly used promoters 6

2 Strains and Plasmids used in this study 8

3 Primers for strain construction 10

4 Primers for reporter plasmid construction 14

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Nomenclature

AHL: Acyl homoserine lactone

CCR: Carbon catabolite repression

CP: Constitutive promoter

Cph 1: Cyanobacterial phytochrome 1

CRP: Catabolite repression protein

DNA: Deoxyribonucleic acid

LB: Luria bertani

FLP: Flippase recombination enzyme

FRT: Flippase recognition target

GFP: Green fluorescent protein

IPTG: Isopropyl β-D-1-thiogalactopyranoside

LED: Light emitting diode

MAGE: Multiplex automated genome engineering

MCS: Multi coding site

OD: Optical density

ONPG: o-nitrophenyl-β-D-galactoside

PCB: Phycocyanobilin

PCR: Polymerase chain reaction

Pr: red-light-absorbing form of phytochrome

RBS: Ribosome binding site

SDS: Sodium dodecyl sulfate

SOC: SOB (Super Optimal Broth) with the B changed to C for “catabolite repression”

SOE-PCR: Splicing by overlapping extension PCR

TF: Transcription factor

UNIST: Ulsan national institute of science and technology

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1. Introduction

With the help of synthetic biology and metabolic engineering, new biological systems and novel

metabolic pathways have been engineered1-7. Modulating the expression of bacterial genes can help

fine-tune microbial metabolism for the optimal production of desired products such as drugs,

chemicals and biofuels8. Especially, promoter engineering is a highly essential tool to engineer

metabolic pathways and can aid in the temporal expression of recombinant proteins9. It favors

moderate expression of a gene without much metabolic burden or toxic effect10. Therefore, many

researchers focused on modifying promoters for improving the productivity of target pathways11-14.

One of the major strategies employed for the reduction of metabolic burdens imposed by over-

expression of a variety of recombinant proteins is an attempt to use inducible promoter systems. An

inducible promoter system is an attractive regulatory expression system that can repress the

expression of target genes during host cell growth and hence reduce the metabolic burden that

decreases cellular growth rate15. A variety of inducible promoter systems have been reported. The lac

promoter (Plac) system is a traditional representative of an inducible expression system that controls

gene expression via isopropyl-β-D-1-thiogalactopyranoside (IPTG) as inducer that can be combined

with LacI repressor protein for initiation of transcription. The araBAD promoter (PBAD) system is a

more tightly regulated gene expression system than the lac promoter system. The activator AraC

forms a complex with arabinose (inducer), binds to the promoter and activates the expression from the

araBAD promoter. The T7 promoter system has already been commercialized for over-expression of

recombinant proteins in biotechnological applications because the T7 RNA polymerase has higher

transcriptional processivity16. Recently, a propionate-inducible promoter system (PprpB) has been

developed for tightly regulated gene expression using a non-toxic and inexpensive inducer,

propionate17. When expressing toxic proteins, the PprpB showed much higher protein production than

the T7 promoter system due to non-growth inhibition even at highly induced state18.

However, none of these systems is ideal for inducing gene expression in Escherichia coli. Many of

these promoters have common disadvantageous features, such as leaky expression under non-induced

conditions, catabolite repression in the presence of glucose, need for host specific proteins, inducer

toxicity or use of expensive inducers19. Cost of the inducer is particularly a very important factor on

an industrial scale. For example, IPTG costs about $1.56 per liter20. Chemical inducers could not be

also removed from the medium and hence it is not possible to turn off gene expression after induction

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by adding inducer to culture media. Since most chemical inducer-based gene expression systems are

derived from E. coli promoters, metabolic burden and noise due to crosstalk with the host system are

another potential problem.

In order to overcome these disadvantages, we developed a novel light-switchable promoter system

in E. coli. Distinctive physical properties of light offer a high level of flexibility to control gene

expression without disturbing the normal metabolic activities of a cell20. A light-sensing system in E.

coli was previously constructed by Levskaya et al. using a synthetic combination of a two component

regulatory system and a light-sensing phytochrome from cyanobacteria to regulate gene expression21.

This system was used to demonstrate light-regulated gene expression in E. coli using lacZ as a

reporter gene. However, this system could not provide a coordinated control of the expression of

multiple genes that encode for different proteins and a continuous control of the expression levels of

specific genes. It is necessary to gain an in-depth knowledge of this system in order to provide a

continuous fine control of the expression of multiple genes. A few immediate questions that should be

answered to fully exploit the advantages offered by light-switchable promoter systems are as follows:

1) Gene expression from chemically inducible promoters depends on the concentration of the

inducer. Analogous to this, the different wavelengths, intensities, and durations of light that

affect gene expression should be determined.

2) Those systems should be capable of providing more tightly regulated gene expression with low

background expression.

3) They should be capable of coordinating the expression of multiple genes simultaneously or

controlling of target genes continuously.

In this study, we modified the sensory circuit of Levskaya et al. to control expression of multiple

genes, to reduce leaky expression, and to increase induction fold. First, lambda cI repressor gene

encoding for a transcriptional repressor protein was expressed under the control of ompC promoter,

unlike the system developed by Levskaya et al. where PompC directly controls the expression of the

reporter gene21. Second, two CI repressor binding sites were cloned into downstream of a constitutive

promoter (CP) expressing the reporter gene, GFP. Light-mediated changes in GFP level were

monitored to determine the efficiency of the system. The CI repressor protein is being produced in

response to light, which in turn blocks the expression of GFP from the constitutive promoter on a

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reporter plasmid. This system would hence favor the control of gene expression from multiple

promoters with a CI operator site. This synthetic gene-regulatory network can help check if the

expression of a gene from both chromosome and plasmid can be controlled by light. Here, we present

the construction of a strain carrying light-responsive genes and reporter plasmids harboring a rapidly

degradable GFP gene under the control of a synthetic CP with two CI-binding sites. We also

demonstrate the possibilities of regulating a synthetic gene network in a cell and the ways to

harmonize the synthetic gene network by engineering the promoter and the ribosome binding site

(RBS). Our results demonstrate that gene expression even from the chromosomal DNA can be

controlled using light. We also show that the main parameter which determines the extent and

duration of oscillation in a genetic circuit lies with the half-life of the regulatory proteins and its target

protein (GFP) that are produced from various components of the circuit.

1.1 Light-sensing systems

Light input modules are recently regarded as the strong candidate tools for fine-tuning gene

expression22-25. The basic mechanism of this module is that light absorption drives the rapid excitation

of the chromophore, and the subsequent reactions cause a conformational change of the phytochrome.

E. coli naturally synthesize heme whose precursor is from glutamate-tRNA, it is possible to produce a

protein of bilins by adding two subsequent steps; heme oxygenase (HO1) to convert biliverdin IXα

(BV) and phycocyanobilin/ferredoxin oxidoreductase (PcyA) in cyanobacteria or PФB synthase

(HY2) in plants to produce PCB or PФB (Figure 1). Since the duration of photo-conversion is very

short (usually on the order of picoseconds)26, synthetic biology exploits the rapid response of light in

order to control gene expression. Several chimeric photoswitches have been developed for the

differential control of gene expression with a specific wavelength of light such as red, green, and blue

light27-29. In this study, we used chimeric red-light receptor (Cph1-EnvZ).

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Figure 1: Biosynthesis of phycocyanobilin and phytochromobilin. Heme in E. coli is

converted to biliverdin IXα by heme oxygenase (HO1). BV is produced to PCB or PФB by

phycocyanobilin/ferredoxin oxidoreductase (PcyA) or PФB synthase (HY2). HoloCph1 is completed

by autocatalytically binding either of these chromophores to apoCph1 in the Pr form.

1.2 Two-component systems in E. coli

Most bacteria respond rapidly to their outer environment such as osmotic activity, pH, ionic

strength, temperature, and the concentrations of nutrient and harmful compounds for survival. For that

purpose, bacteria have evolved surface-exposed signal transduction systems popularly addressed as

two-component systems4. These systems typically consist of a sensor protein with a histidine kinase

domain and a response regulator30, 31. Role of the histidine kinase in the membrane, which is regulated

by specific environmental stimuli, is to direct phosphorylation of its cognate the response regulator.

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The phosphorylated response-regulator in the cytoplasm can then bind to its operator sites to activate

or repress gene expression. The two-component systems regulate diverse responses including nutrient

acquisition (BarA-UvrY)32 and adaptation to physical and chemical aspects of the environment

(CheW-Tar and CheW*-Tsr*)33, 34. In this study, we have exploited the EnvZ-OmpR two component

systems respond to light rather than to osmotic shock.

1.3 Promoter-based gene expression systems

There are an immeasurable number of promoters, potentially as many as genes in an organism.

However, only a few set of promoters are a good candidate to express or overproduce desired proteins

because a useful promoter must have fine-tuning gene expression on induction and low basal

expression20. For that reason, many researchers have focused on inducible promoter systems because

they could help to avoid metabolic burden and obtain a high protein production via the dynamic range

of the induction35-37. Plac (lacUV5), Ptac, PT7, PL, PtetA, PBAD, and PprpB are traditionally used for a target gene

expression (Table 1). The lacUV5 promoter was used in overexpressed genes or operon for fatty-acid-

derived fuels38. A fusion promoter, PLtetO-1 and PLlacO1 were also used for 1-butanol and 1-propanol

production due to independent control of two transcription units39, 40. In recent years, synthetic biology

has tried to creative novel promoters which are not inherent to E. coli under synthetic regulatory

systems. For example, Acyl homoserine lactone (AHL) inducible promoter system can help modulate

gene expression efficiently in a chemostat41.

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Table 1. Commonly used promoters

Promoter Inducer Characteristics References

Plac (lacUV5) IPTGa

expensive inducer

weak expression

catabolite repression

42, 43

Ptac IPTGa

expensive inducer

leaky expression

catabolite repression

43, 44

PT7 IPTGa expensive inducer

high leaky expression

19, 45, 18

PL thermal temperature-sensitive host

required

43, 46

PtetA anhydrotetracycline tightly regulated system

expensive inducer

47

PBAD L-arabinose

suffers from all or none

function

catabolite repression

48, 17

PprpB propionate suffers from catabolite

repression

17, 49

Ptrc

(Fim inversion) L-arabinose

pulse induction

no leaky expression

low induction cost

50

aIsopropyl β-D-1-thiogalactopyranoside

1.4 Protein degradation tags

GFP has been widely used as a reporter gene in a broad variety of bacteria because it allows easy in

situ monitoring of cellular process without the need for an exogenous substrate and is non-toxic to cell

growth51. However, GFP will stay fluorescing for over at least 24 hours52, 53. This long half-life

reduces its potential to monitor the rapid alteration of GFP under various environmental conditions.

Degradation tags have been developed in order to favor rapid turnover of GFP54, 55. Many of the

degradation systems in E. coli are mediated by ssrA-based tagging. The adaptor SspB recognizes the

SsrA tagged proteins and subsequently leads them to the ClpXP protease for degradation55 (Figure 2).

Many variants of SsrA tag with SspB binding site (AANDENY) and ClpX binding site (LVA/AAV)

have been developed which favors degradation of the tagged proteins to different extent. The half-

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lives of GFP variants with LVA/AAV tag are approximately 1 hour (40 and 60 minutes, respectively)

as compared to wild-type GFP which is stable for 24 hours.

Figure 2: Schematic model of SsrA-tagged protein degradation. SspB adaptor binds SsrA-tagged

substrates and stick to ClpXP protease for degradation.

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2. Materials and Methods

2.1 Bacterial strains and growth conditions

The bacterial strains used are listed in Table 2. E. coli MG1655 or RU1012 were used as a parental

strain. All strains were grown in Luria-Bertani (LB) medium at 37°C with rotation at 200 rpm (Lab.

Companion SI-R300). Strains carrying temperature sensitive plasmids were maintained at 30⁰C.

Media were supplemented with antibiotics at a suitable concentration (50 µg/mL Kanamycin, 100

µg/mL Ampicillin and 30 µg/mL Chloramphenicol). Solid media was supplemented with 1% agar.

Strains were maintained as 20% glycerol stock at -80°C.

Table 2. Strains and plasmids used in this study

E. coli strain

or plasmid Description Reference or source

E. coli

MG1655 K-12, F- lambda- ilvG- rfb-50 rph-1 56

JM1012

RU1012

MG1655, ∆envZ, ∆ompC::cI-LVA

MC4100, ara+ ф(ompC-lacZ) 10-25, ΔenvZ:: KmR

This study 57

Plasmids

pPL-PCB

pCph8

p15a ori., pcyA, ho1 gene, AmpR

ColE1 ori., envz-cph1 gene, CmR

58 21

pSIM5

pCP20

pKD13

pEDL3

pTrc99a-CI-LVA

pSC101 ori., exo, bet, gam gene, CmR

Yeast FLP recombinase gene controlled by cI repressor

and temperature sensitive replication, AmpR, CmR

FRT-flanked kanamycin resistamce

pSC101* ori., lacZ, cI-LVA, luxI, luxR gene, AmpR

pBR322 ori., cI-LVA gene, AmpR

59

60

61

62

This study

pProbe-PL-GFP

pProbe-PL-GFP-LVA

pProbe-PL(0.1)-GFP

pProbe-PCP6(0.1)-GFP

pProbe-PCP6(0.1)-GFP-LVA

pProbe-PCP6(0.1)-GFP-AAV

pProbe-PCP12(0.1)-GFP

pProbe-PCP12(0.1)-GFP-AAV

pBBR1 ori., gfp , KmR

pBBR1 ori., gfp-LVA, KmR

pBBR1 ori., gfp, KmR

pBBR1 ori., gfp, KmR

pBBR1 ori., gfp-LVA, KmR

pBBR1 ori., gfp-AAV, KmR

pBBR1 ori., gfp, KmR

pBBR1 ori., gfp-AAV, KmR

This study

This study

This study

This study

This study

This study

This study

This study

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2.2 Strain construction

pSIM5 plasmid harboring the λ-Red mediated recombination system under the control of cI857

(temperature sensitive cI) was used for chromosomal gene deletion (Figure 3a) and integration (Figure

3b)59. Kanamycin cassette from pKD13 was amplified with primers carrying a 50 bp overhang that is

homologous to the target site. For cI integration, the kanamycin cassette and the cI gene was sewn

together using SOE-PCR61. The PCR products were used to perform the desired genetic modifications

(Table 3). Cells harboring the plasmid pSIM5 were induced by thermal inactivation of CI at 42°C for

15 minutes. The cells were chilled immediately after induction to arrest the metabolic state of the cell,

made electrocompetent, and transformed with the PCR products described above. SOC medium was

added after electroporation and the cells were recovered from electric shock by incubation at 30°C for

1h 30 min. Transformant colonies carrying the desired modification were directly selected on LB agar

plates containing kanamycin. Genomic DNA was isolated from the transformants, and the target

region was PCR-amplified and sequenced to confirm site-specific insertion.

The kanamycin cassette was then removed using the Flp recombinase system borne on the plasmid

pCP2061. The Flp recombinase excises the kanamycin gene flanked between the FRT sites from the

chromosomal DNA. The plasmid pCP20 was then cured by culturing cells at 42°C.

PompC driven LVA tagged cI gene was integrated into the chromosome of wild-type MG1655 and

the chromosomal envZ was deleted in order to connect the expression of cI through the native envZ-

ompR two-component signal transduction system. The strain was designated as E. coli JM1012. The

LVA tagged cI gene was a kind gift from Jeffrey J. Tabor et al.62. Strain RU1012 was used to analyze

light mediated LacZ activity57

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Table 3. Primers for PCR amplification of EnvZ-KmR, CI-KmR, and GFP-KmR

PCR

product Template

Primer

name Primer sequencea

EnvZ-KmR pKD13 Envz-H1-(F) 5’-AACGGGAGGCACCTTCGCCTCCCGTTTATTTACCCTTCTTTTG

TCGTGCCTGTAGGCTGGAGCTGCTTCG -3’

Envz-H2-(R) 5’-ACCGTCTGGGGTCTGGGCTACGTCTTTGTACCGGACGGCTCT

AAAGCATGATTCCGGGGATCCGTCGACC -3’

CI-KmR

pKD13 H1-P1-(F) 5’- GCAGGCCCTTTGTTCGATATCAATCGAGATTAGAACTGGTAA

ACCAGACCTGTAGGCTGGAGCTGCTTCG -3’

P4-(R) 5’-ATTCCGGGGATCCGTCGACC -3’

pEDL3 P4-CI-(F) 5’- GGTCGACGGATCCCCGGAATTTAAGCTACTAAAGCGTAGTT

TTCGTCGTT -3’

CI-H2-(R) 5’- TGGCATAAAAAAGCAAATAAAGGCATATAACAGAGGGTTA

ATAACATGAGCACAAAAAAGAAACCATTAACACAAGAG -3’

GFP-KmR pProbe-

gfptagless

P4-GFPLVA-

(F)

5’- GGTCGACGGATCCCCGGAATTTAAGCTACTAAAGCGTAGTT

TTCGTCGTT -3’

GFPLVA-H2-

(R)

5’-TGGCATAAAAAAGCAAATAAAGGCATATAACAGAGGGTTAAT

AACATGAGTAAAGGAGAAGAACTTTTCACTGGA -3’

aHomologous regions are underlined and P1 or P4 regions are bold letters.

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Figure 3(a): Strategy for chromosomal gene deletion with the λ-red mediated recombination

system. P1 and P4 of the FRT (FLP recombinase recognition target) sites flanking the kanamycin

resistance gene in pKD13 are linked with H1 and H2 that are the homologous region specific to the

upstream and downstream of the envZ. The λ-red recombination proteins catalyze recombination as a

result of the replacement of the partial envZ with H1-P1-KanR-P4-H2. The final step is to remove the

kanamycin resistance gene through the Flp recombinase system in pCP20.

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Figure 3(b): Strategy for the replacement of the ompC with the cI-LVA. Two PCR products

are initially constructed; the first contains the cI-LVA flanked by H1 and P4, and the second contains

the removable kanamycin resistance cassette flanked by P4 and H2. Overlap sequences of P4 were

used to bridge two PCR products.

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2.3 Plasmid construction

All DNA manipulations were performed using established protocols63. Strain JM1012 was

transformed with the light-sensing plasmids pPL-PCB58, pCph821. All reporter plasmids share a

common plasmid backbone (pProbe-NT’) with a pBBR1 origin of replication from Bordetella

bronchiseptica, T1 terminator from E. coli rrnB1 operon and kanamycin resistance gene52. A promoter

(PL/PCP6/PCP12) containing two CI binding sites, a ribosome binding site [(strong RBS AAGGAG (0.3)

or weak RBS GGATAA (0.1)]E and a reporter gene (GFP, GFP-AAV, or GFP-LVA) were cloned into

the EcoRI and SalI site of pProbe-NT’ (Figure 4 and Table 4). The PL promoter with two CI operators

(OR2, OR1) was constructed from a BioBrick part, #J64067 (http://partsregistry.org). CP6 and CP12

are synthetic constitutive promoters with different strengths (280 and 101 miller units, respectively)64.

The weak RBS(0.1) was predicted to have a low translational efficiency using an online tool

RBSDesigner65. The strength of strong RBS used in this study was predicted to be 0.3. For CI-LVA

expression, a PCR product of CI-LVA flanked with EcoRI and SalI was ligated into the MCS of

pTrc99a.

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Table 4. Primers for PCR amplification of reporter plasmids

PCR

product Template

Primer

name Primer sequencea

pProbe-

PL/PL(0.1)-

GFP/

GFP-LVA/

GFP-AAV

pProbe-

gfptagless’

RE1-PL-CIbs-

(F)

5’- CGGAATTCCGTAAGCACCTGTAGGATCGTACAGGTTGACAA

CAAGAAAATGGTGTGTTATAGTCGAATAACACCGTGCGTGTT -3’

CIbs-GFP-(F)

5’- GTCGAATAACACCGTGCGTGTTGACTATTTTACCTCTGGCG

GTGATATATAAGGAGGAAAAACATATGAGT -3’

CIbs-0.1GFP-

(F)

5’- GTCGAATAACACCGTGCGTGTTGACTATTTTACCTCTGGCG

GTGATAATGCTTGGATAAGGAACTGTTTACATGAGTAAAGGAG

AAGAACTTTTCA -3’

GFP-RE2-(R)

5’- GAATTAAGCTTCTGCAGTCGACTTATTATTTGTATAGTTCATC

CATGCCAT -3’

GFPLVA-

RE2-SalI-(R)

5’- GAATTAAGCTTCTGCAGTCGACTTAAGCTACTAAAGCGTAG

TTTTCGTCGTTTGCTGCAGGCCTTTTGTATAGTTCATCCATGCC

AT -3’

GFPAAV-

SalI-(R)

5’-GAATTAAGCTTCTGCAGTCGACTTAAACTGCTGCAGCGTAG

TTTTCGTCGTTTGCTGCAGGCCTTTTGTATAGTTCATCCATGCC

AT -3’

pProbe-

PCP6(0.1)-

GFP/

GFP-LVA/

GFP-AAV

RE1-CP6-(F)

5’- CGGAATTCCGCATGTGGGAGTTTATTCTTGACACAGATATT

TCCGGATGATATAATAACTGAGTACTGTTGTCGAATAACACCG

TGCGTGTT -3’

pProbe-

PCP12(0.1)-

GFP/

GFP-LVA/

GFP-AAV

RE1-CP12-

(F)

5’- CGGAATTCCGCATATACAAGTTTATTCTTGACACTAGTCGG

CCAAAATGATATAATACCTGAGTACTGTTGTCGAATAACACCG

TGCGTGTT -3’

aRestriction sites are double underlined, SspB binding sites are underlined, and tags (LVA/AAV) are indicated by bold letters.

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Figure 4(a): Map of pProbe-pLGFP as a representative reporter plasmid used in this study. This

plasmid was derived from pProbe-NT’. The synthesized DNA segments including constitutive

promoter (PL), CI binding site, and GFP, GFP-LVA/AAV were cloned into EcoRI and SalI site.

Figure 4(b): Schematic representation of synthetic promoter, CI binding site and GFP.

Figure 4(c): Sequence of PL, PCP6, PCP12. Italic, EcoRI site; Black bold, –35 and –10 region;

Underlined, CI binding sites; Blue bold, transcription start site; Red bold, RBS region; Green bold,

start codon of GFP

`

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2.3.1 RBSDesigner: software for designing synthetic ribosome binding sites

RBSDesigner was developed to predict the translation efficiency of existing mRNA sequences and

computationally design synthetic ribosome binding sites to favor a desired level of expression from a

user-specified coding sequence (http://rbs.kaist.ac.kr/index.html)65, 5. It provides three functionalities:

translational efficiency estimation, synthetic RBS design, and secondary structure prediction via the

mfoldweb site. The translational efficiency of universal E. coli RBS (AGGAGG) for PL promoter was

predicted to be about 0.3 (Figure 5). Weak RBS was designed by setting the translational efficiency to

0.1.

Figure 5: RBSdesigner software. The translational efficiency of universal E. coli RBS (AGGAGG)

for PL promoter was predicted to be about 0.3. Blue box indicates RBS sequence of PL. Green box

denotes the start codon of GFP.

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2.4 β-galactosidase assay

Activity of the enzyme, β-galactosidase, encoded by the reporter gene lacZ, can be assayed using

the substrate, o-nitrophenyl-β-D-galactoside (ONPG) as described previously63. In brief, 2 mL of the

final culture was spun at 6000 rpm for 10 minutes and the pellet was then suspended in 2 mL of Z-

buffer (40 mM Na2HPO4•7H2O, 60 mM NaH2PO4•H2O, 10 mM KCl, 1 mM MgSO4•7H2O, and 50

mM 2-mercaptoethanol, pH7.0). Optical density at 600 nm (OD600) was measured by using a Libra

S22 spectrophotometer. The cell extract was diluted with an equal volume of Z-buffer, lysed with the

addition of 100 μL of chloroform and 50 μL of SDS (0.1%), vortexed and incubated at room

temperature for 5 minutes. 200 μL of ONPG (4 mg/mL) was added. After 5 minutes, 0.5 mL of 1.0 M

Na2CO3 was added and vortexed to stop the reaction and spun down by centrifugation at 13,200 rpm

for 5 minutes. The amount of released o-nitrophenol was determined by measuring absorbance at 420

nm. Cell-debris was measured at 550 nm. Miller units were then calculated using the formula: 1000 x

[(OD420 – 1.75 x OD550)]/(V x T x OD600), where T= time (in minutes) of incubation and V = volume of

cells (mL) used in the assay (1 mL in the above example).

2.5 Measurement of GFP expression

The strain JM1012 containing the three plasmids (pPL-PCB, pCph8, and pProbe-PL/PCP6/PCP12 with

GFP/GFP-AAV/GFP-LVA) was grown in 5 mL LB medium supplemented with three different

antibiotics (25 µg/mL ampicillin, 25 µg/mL kanamycin, 15 µg/mL chloramphenicol) at 37°C

overnight. 50 μL of the overnight grown cells were inoculated into 5 mL of fresh LB medium in

culture tubes either wrapped (darkness) with foil or unwrapped (light). LED desk lamp (LS-100) was

used as a light source. The quantity of GFP was determined using a Tecan Infinite F200

spectrophotometer with an excitation/emission at 485 nm/535 nm, gain value at 30, and amplitude at 3

mm.

2.6 Light controllable equipment “LabVIEW”

The light controllable equipment was based on the LabVIEW which is a graphical programming

environment to facilitate measurement, test, and control systems. This software and toolkit developed

by Taesung Kim group, UNIST (2009) was used to determine the effect of light wavelengths on gene

expression (Figure 6). The instrument is capable of providing four different spectrums of wavelengths

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(blue, 450-480 nm; green, 510-535 nm; white, 400-700 nm; red, 615-635 nm). This instrument was

combined with a 24-wells black plate of volume 2 mL per well and with rotation at 150 rpm. The light

exposure time was varied from 0 to 12 hours.

Figure 6: LabVIEW instrument. The instrument is capable of providing four different spectrums of

wavelengths which are blue (450-480 nm), green (510-535 nm), white (400-700 nm), and red (615-

635 nm) (Left). It was combined with a 24-wells black plate of volume 2 mL per well (Middle). The

light exposure time can be controlled by using the LabVIEW software (Right).

3. Results

3.1 Components of the light-switchable promoter system

Major components of the light-switchable promoter system used in this study include the strain

JM1012 (MG1655, ompC<>cI-LVA, ∆envZ) and three plasmids: two for sensing light (pPL-PCB,

pCph8) and one reporter plasmid (pProbe-PL/PCP6/PCP12 and GFP, GFP-AAV or GFP-LVA) (Figure 7).

The plasmid pPL-PCB expressing Synechocystis sp. heme oxygenease and biliverdin reductase genes

ho1 and pcyA lead to the biosynthesis of the chromophore, phycocyanobilin (PCB). PCB is the major

light sensing component. Plasmid pCph8 harbors a fusion gene encoding a red light responsive

domain (cph1) of a Synechocystis sp. phytochrome and an intracellular histidine kinase of E. coli envZ

gene58, 21. The chimeric light-receptor Cph8 combines with PCB to form a holophytochrome and

autophosphorylates its EnvZ-based histidine kinase domain in response to light. In the absence of

light, the chimeric light-receptor transfers its phosphate group to the response regulator OmpR. The

phosphorylated OmpR binds to the ompC promoter (PompC) and thus activates the expression of cI

gene that is expressed under the control of PompC. The expressed CI in turn blocks the transcription of

GFP from a CI repressible promoter on the reporter plasmid. Dark exposure therefore results in high-

level production of CI repressor and repression of GFP expression, while exposure to light relieves

this repression.

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Figure 7: Schematic model of the JM1012. In case of darkness, the chimeric Cph8 (Cph1-EnvZ)

with PCB phosphorylates the response regulator OmpR. OmpR-P binds to the promoter of ompC and

drives the expression of CI. Expressed cI-LVA in turn blocks transcription of GFP.

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3.2 Evaluation of a light sensing module, holo-Cph8

We analyzed the effect of light on holo-Cph8 by measuring the LacZ activity in strain RU1012

(Figure 8). We used an ordinary LED desk lamp (LS-100) to activate the light-sensing holo-Cph8.

Holo-Cph8 was previously characterized to respond to red light (wavelength 650 -705 nm). Here, we

have demonstrated that it responds to a wide range of wavelengths in the visible spectrum from the

desk lamp. To investigate the sensitivity of the light receptor to a broad spectrum of wavelengths, we

used the LabVIEW toolbox that is capable of providing four different spectrums of wavelengths (blue,

450-480 nm; green, 510-535 nm; white, 400-700 nm; red, 615-635 nm). Similar responses were

obtained from the light receptor even with varied wavelengths (Figure 9). This broad sensitivity of the

holo-Cph8 is an industrially important trait as it is not necessary to control the light source precisely.

Figure 8: Verification of light-sensing module. Graph showing the change in lacZ expression with

respect to light in RU1012 harboring the two light sensing plasmids. Strains grown in darkness (blue

line); Strains grown in the presence of light (black line).

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Figure 9: Effect of different wavelengths on gene expression. Graph showing the effect of different

wavelengths on the functionality of holo-Cph8. Increasing order of vertical bars under each

wavelength represents darkness, 2, 4, 6 and 12 hours of light.

3.3 Validation of reporter plasmids

To investigate the optimal combination of promoter and RBS for tight regulation of a target gene

expression, we constructed 4 different reporter plasmids with varying promoters/RBSs: PL(RBS0.3),

PCP6(RBS0.1), PCP12(RBS0.1) and PL(RBS0.1) (Figure 10). The PL is a very strong constitutive

promoter with the optimal spacer length between the –35 and the –10 regions (17 bp)34. Synthetic

constitutive promoters, PCP6 and PCP12, were previously reported to have a medium and low

transcriptional efficiency in E. coli64. PL-RBS0.3 had about 4-fold higher expression compared to PL-

RBS0.1. Unlike previously reported, PCP6 and PCP12 had almost the same strength indicating the

altered effect of the strength of the promoter due to the cI operator region64. Strength of PL-RBS0.1

was less than those of PCP6-RBS0.1 and PCP12-RBS0.1.

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Figure 10: Verification of reporter plasmids. Comparison of strength of reporter plasmids with

varied combinations of promoters and RBSs. Blue, PL-RBS0.3; Green, PCP12-RBS0.1; Red, PCP6-

RBS0.1; Purple, PL-RBS0.1; Black, MG1655

3.4 Assessment of CI repressor

Phage λ protein, CI repressor was used to favor simultaneous regulation of multiple genes66-68. The

CI was tagged with LVA tag for rapidly degradation and expressed on the JM1012 chromosome. To

investigate the expression level of CI-LVA repressor on the chromosome that is needed to efficiently

control gene expression from a CI repressible promoter on the reporter plasmid, we first cloned cI-

LVA gene into pTrc99a, a medium copy plasmid. There was a complete repression of GFP even with

0.1 mM IPTG (Figure 11). The result indicates that CI-LVA protein is sufficient to repress the GFP

expression in the JM1012.

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Figure 11: CI dosage required for optimal gene regulation. Graph showing the effect of CI

expressed from lac promoter on GFP expression. Blue line, no IPTG; Red line, 0.01 mM IPTG; Green

line, 0.05 mM IPTG; Purple line, 0.1 mM IPTG; Black line, 1 mM IPTG.

3.5 Effect of light duration on the CI repressible promoters

In order to determine the relationship between the light dose and the induction fold, GFP expression

(under the control of various promoter/RBS combinations) was measured with respect to changes in

light exposure duration. The light exposure time was varied in strain JM1012 sequentially from 0 h to

12 h with the LabVIEW instrument. CI-LVA repressor efficiently controlled GFP expression from the

weak promoter PL-RBS0.3 in response to varied light conditions (Figure 12a and 12e). Strain JM1012

responded efficiently to light by expressing GFP in the presence of light. GFP expression was

comparable to that of background expression in the absence of light. GFP expression was strongly

dependent on the light exposure time. However, the leaky expression of GFP was unavoidable in

darkness. In order to decrease the leaky expression, we used PL with a weak RBS0.1. The background

leaky expression was decreased five-fold. Interestingly, the induction fold was increased from three-

fold (for strong RBS) to five-fold (for weak RBS) due to the reduced background expression (Figure

12b and 12f). Same pattern was observed even with the stronger promoter, PCP6-RBS0.1 (Figure 12c

and 12g). PL-RBS0.1 showed lower background expression than PCP6-RBS0.1 (Figure 12b and 12c).

These results indicate that the high background expression observed in the light-switchable promoter

system might be related to the strength of the promoter or RBS.

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PCP12-RBS0.1 was functional and comparable to that of PCP6 when assayed independent of the CI

repressor (Figure 10). However, they failed to express GFP in JM1012 in response to light, indicating

that the CI operator may not be compatible with PCP12 (Figure 12d and 12h). This result indicates that

the promoter-CI operator combination is not universal.

Figure 12 (a-d): Comparison of light-switchable gene expression system in light to switch gene

from OFF state to ON state. Graph showing the effect of duration of light on GFP expression from

PL-RBS0.3 (a), PL-RBS0.1(b), PCP6-RBS0.1(c), and PCP12-RBS0.1(d). Blue line represents the

continuous presence of light; Red, green and purple lines denote 1, 2 and 3 hours of darkness,

respectively. Black line indicates the noisy expression obtained in the absence of light

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Figure 12 (e-h): Comparison of light-switchable gene expression system in light to switch gene

from ON state to OFF state. Graph showing the effect of duration of light on GFP expression from

PL-RBS0.3 (e), PL-RBS0.1 (f), PCP6-RBS0.1 (g), and PCP12-RBS0.1 (h). Blue line represents the

continuous presence of light; Red, green and purple lines denote one, two, and three hours of light

respectively. Black line indicates the noisy expression obtained in the absence of light

3.6 Oscillating gene expression

In order to verify if oscillation by light (repeated cycles of ON and OFF) can affect GFP expression,

we varied the light condition every two hours. As expected, oscillation in light caused a step-wise

increase in GFP (Figure 13).

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Figure 13: Light-mediated oscillation in gene expression. Graph showing variation in GFP

expression with respect to a fluctuating light source. Blue line represents GFP expression measured in

the presence of a constant light source while red line represents a fluctuating light source (fluctuates

every 2 hours). Black line represents the background noise

3.7 Effect of the degradation tag on the oscillation of gene expression

In order to demonstrate a oscillation in gene expression by turning light ON/OFF, degradation tag

such as LVA or AAV which is short peptide sequences was added to C-terminal end of intact GFP51.

LVA-tagged GFP is unstable due to the tail-specific protease, ClpX54. CI independent GFP expression

from the plasmids (PL-RBS0.3-GFP-LVA, PCP6-RBS0.1-GFP-AAV, and PCP12-RBS0.1-GFP-AAV)

seems to be detectable only for 4~6 hours till the late-log phase (Figure 14). However, GFP-LVA

expression was very little when compared to GFP-AAV. This result indicates that the LVA tag is

degraded faster than AAV tag (PCP6-RBS0.1-GFP-AAV compared with PCP6-RBS0.1-GFP-LVA).

Since GFP-LVA is combined with a weak RBS, the degradation level is higher than translational level

of GFP. The expression level of tagged GFP is comparable to that of background noise in most cases.

Relatively short half-life of the tagged GFP variants limits the ability to demonstrate light-mediated

oscillation in gene expression.

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Figure 14: Rapid turn-over of GFP mediated by LVA/AAV tags. Graph showing the expression

level of GFP-LVA (closed square) and GFP-AAV (closed triangle) from different promoters: PL-

RBS0.3(blue); PCP12-RBS0.1(black) PCP6-RBS0.1(red), and PL-RBS0.1(green)

4. Discussion

We constructed an improved light-switchable gene expression system in E. coli JM1012 to favor

simultaneous control of multiple genes. Though the light system had been reviewed for decades, no

such attempts have been made to control multiple genes on chromosomal DNA or plasmids. This

study highlights the importance of CI repressor being able to control multiple genes rapidly in

response to light. We have designed different combinations of promoter and RBS with the same CI

operator site to provide insights onto the ways to optimize gene expression. We have also constructed

the target gene (GFP) with LVA/AAV tags to demonstrate oscillation in gene expression in response

to light.

4.1 Superiority of the light-switchable system

4.1.1 Industrially profitable traits of light-switchable gene expression

The holo-Cph8 formed by co-production of PCB and apophytochrome (Cph1-EnvZ) was

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previously known to respond to red-light69, 70. However, this strain can respond to ordinary light from

a desk lamp. We furthermore checked if the strain responds to any specific wavelength of the desk

lamp using a light-controllable instrument. Our results indicate that the sensitivity of holo-Cph8

seems to be independent of the wavelength of light. It has been previously reported that the holo-Cph8

has a absorption maximum around 650 nm and a long absorption tail that extends till the blue region

of spectrum34, 70. Therefore, this broad sensitivity of the holo-Cph8 could be an industrially important

trait as it is not necessary to control the light spectrum precisely. In addition, Cph8 and PCB should be

integrated into chromosomal DNA to shun instability of plasmid, metabolic burden, and cost of

antibiotics.

Oscillation gene expression brought about by chemical inducers is usually a discontinuous process

where the inducer has to be washed away or the cell has to be diluted. We have demonstrated an

efficient oscillation in gene expression in a continuous process using light switchable gene expression.

A oscillation brought about in continuous process is of particular importance in industrial scale. To the

best of our knowledge, only light-switchable promoter system could favor oscillations in gene

expression in a continuous process.

4.1.2 Efficacy of chemical and physical inducers on gene expression

cI-LVA expressed from a medium copy plasmid (induced with 0.1 mM of IPTG) gives the same

result as the CI repressor borne on chromosomal DNA of JM1012 (Figure 11 and Figure 12e). This

result indicates that gene expression even from the chromosomal DNA can be controlled using light.

We also observed that the tendency of GFP expression in response to light was similar to that

encountered in a chemical-inducer based systems (For example, IPTG as discussed in 3.1.3). Similar

to the chemically inducible promoter where expression depends on the concentration of the inducer,

light-switchable promoter system is controlled by light exposure time. Light may win the race of

inducible systems with expression equivalent to the conventional systems but at a cheaper cost than

the chemical inducer.

4.2 Improvements in light-switchable gene expressions

4.2.1 Key parameters that account for the regulation of multiple genes

In order to control multiple gene expressions, the basic building blocks of engineered gene circuits

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need to be well characterized, both independently and as a component of an integrated, complex

system71. Gene regulatory circuits are based on simple building blocks such as promoters,

transcription factors (TFs) and their binding sites on DNA. In this work, we constructed different

combinations of promoter, CI operator region and RBS. Our results indicate that the pattern of gene

regulation can be easily changed merely by a certain combination of promoter and RBS. It is

necessary to understand how the combination and multiplicity of promoter and RBS affect gene

expression to more accurately control multiple genes in synthetic networks72. In order to attain the

goal of optimized gene regulation, the combination efficiency number for the two factors (promoter

and RBS) should be predicted by computational modeling in parallel with sophisticated

experimentations. RBSDesigner is useful software to predict translational efficiency number

computationally5. Multiplex automated genome engineering (MAGE) a sophisticated experimental

method will be help in large-scale programming and evolution of cells73. MAGE can be used for

modification of many locations on the chromosome simultaneously. A multidisciplinary approach

such as the RBSDesigner and MAGE will be imperative for gaining such insights and improving the

efficiency of artificial gene network design.

4.3 Applications of light-switchable gene expression systems

In order to optimize inherent or synthetic metabolic pathways by a synchronized control of multiple

genes, we should consider the global metabolic flux distribution and burden imposed by the deletion

of bottleneck enzymes74. Flux imbalance causes a decrease in desired productivity75.

As is well demonstrated in this study, light can provide a temporal change in gene expression. This

becomes an important trait in metabolic engineering. For example, it is necessary to delete the

competing pyruvate formate lyase to favor ethanol production in E. coli76. However, deletion of this

enzyme renders a severe growth defect both in aerobic and anaerobic conditions. Strains such as E.

coli KO11 are a best example for this strategy which has a very poor growth characteristic77. Use of

light switchable gene expression system can favor a temporal change in gene expression and thus may

favor inactivation of these genes only during the stationary phase. This may help enhance productivity

with less metabolic burden to the host cells.

Light-switchable gene expression system may also help provide a temporal change in acetate

production. Acetate production is presumed to be one of the root causes of impaired heterologous

gene expression. However, deletion of phosphotransacetylase (enzyme responsible for the conversion

of acetyl-CoA to acetate) results in a severe growth defect78. Hence, engineering light inducible

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promoters to this and similar essential metabolic genes may help improve the efficiency of

bioprocessing.

Carbon Catabolite Repression (CCR) is another widely reviewed and poorly understood area of

study. It is not even clear if CCR is imposed at the transcriptional level or at the translational level79.

Light-driven expression of sugar catabolic genes may help understand CCR. For example, here we

demonstrate the efficacy of the global repressor CI to regulate multiple genes. Similarly Catabolite

Repressor Protein (CRP), the global regulator of CCR, is known to affect transcription from more

than 200 genes in E. coli80. Expression level of CRP is considered as a potent determinant of CCR and

is strongly dependent on glucose. If we can bring about a light-driven CRP expression rather than

glucose-driven CRP expression then we may be able to maintain a homeostatic CRP level either in the

presence or absence of glucose. One such system may help gain deeper insights about CCR.

5. Conclusion

In this study, we constructed a light-switchable gene expression system in E. coli JM1012. As

chemically inducible promoter depends on the concentration of the inducer, this system can be

controlled by light duration. By CI transcriptional repressor, this system could be also facilitated for a

coordinated control of multiple genes expression. We demonstrated that the combination of promoter

and RBS on the reporter plasmids is related with a fine-control of gene expression. Taken together, the

synthetic gene-regulatory network in JM1012 could be used to control immediately desired genes on

the metabolic pathway.

By developing the innovative novel gene expression systems, we expect active research efforts in

synthetic biology that apply bio-energy and bio-refinery applications. We believe that the light

switchable gene expression system should affect basic technologies of designing and engineering

microorganisms with new synthetic gene constructs and biological components. Furthermore, this

system can help many synthetic biology researchers in multi-disciplinary technologies and fields.

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References

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Acknowledgements

그 어느 시기보다 치열했던 대학원의 생활이 어느덧 끝이 났습니다. 비록 짧은 2년 동

안의 석사과정이었지만 오늘의 이 부족한 논문을 낼 수 있기까지 많은 분들의 도움이 있

어 이렇게 감사의 인사를 전합니다.

먼저, 학문을 탐구하고 연구를 수행하는 방법이 무엇인지 잘 알려주신 이성국 지도 교

수님께 감사의 인사를 드립니다. 그리고 바쁘신 와중에도 저의 논문을 심사해주신 김철

민 교수님, 김태성 교수님 감사합니다. 차분한 논리와 프레젠테이션 방법에 대해서 자세

히 설명해주셨던 최성득 교수님, 미생물의 생리에 대해서 이해할 수 있도록 큰 도움을

주셨던 미첼 교수님, 그리고 영어 논문 작성하는 방법에 많은 도움을 주셨던 김정연 언

어교육원장님께 감사의 마음 전합니다.

실험실 생활을 잘 할 수 있도록 옆에서 든든한 힘이 되어준 합성생물학 실험실원 모두

감사인사 드립니다. 아무것도 없었던 실험실 초창기에 서로에게 힘이 되어준 기광이형,

수현이 감사하며, 성실한 모습으로 묵묵히 실험하는 법을 보여준 정민이, 그 누구보다 자

기 일처럼 물심양면 도움을 준 비누, 따뜻한 연구 조언 주신 류영신, 김구희 선생님과 결

실의 기쁨을 나누고 싶습니다. 그리고 고마운 이름들이 너무 많아서 다 넣을 순 없지만,

가끔씩 힘들었던 대학원 생활에 활력을 주었던 기숙사 룸메이트들, 축구 친구들 그리고

주변 동료들께도 못 다 전한 감사의 마음 전합니다.

항상 아들 잘되길 바라며 지원해주신 부모님께 큰 감사 인사 드립니다. 그리고 옆에서

응원해 준 동생 수빈이에게 감사 인사 전합니다. 끝으로 학위기간 동안 즐거운 일, 힘들

었던 모든 일들을 옆에서 함께 극복해준 제 인생의 동반자인 혜림이에게 사랑의 마음 전

하면서 감사의 인사를 마치겠습니다. 다시 한번 모두에게 감사 드립니다.

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Hard cover