CELL CULTURE - Moodle

68
METABOLIC ENGINEERING OF LIPID PRODUCTION IN MICROALGAE CELL CULTURE - MICROALGAE PLATFORM

Transcript of CELL CULTURE - Moodle

Page 1: CELL CULTURE - Moodle

METABOLIC ENGINEERING OF LIPID PRODUCTION IN MICROALGAE

CELL CULTURE- MICROALGAE PLATFORM

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CONTENT TABLE:

Microalgae introduction

Research history

Cell culture

Lipid production in microalgae

Culture process

My project introduction

Conclusion

Future work

Lab work plan

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Microalgae introduction

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Microalgae are unicellular species of differing sizes, shapes, colors and structures.

How do you know about microalgae?

4Bacillariophyceae

Haptophyte Peridinium Chlorarachniophytes

ChlorococcumCryptomonas Euglenoids

Polysiphonia

Oscillatoria

For more sources: http://www.rbgsyd.nsw.gov.au/science/Plant_Diversity_Research/australian_freshwater_algae/algpic/nonmotile_microalgae

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Characters

They have the common property of photosynthesis that capture carbon dioxide and assimilate it as a part of their central metabolism.

20%-50%

Recycling cell factory

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http://www2.hci.edu.sg/y11hci0149/website/algae.htmlhttp://theharborandthehudson.wordpress.com/2010/12/05/new-algae-biofuel-pilot-project-at-the-rockaway-wastewater-treatment-plant/

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Microalgae products: biodiesel-from lipids to biodiesel

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Comparison of lipid production

Soybeans Microalgae

30000L/hectare/year 300L/hectare/year

100-folds

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http://northcountrypublicradio.net/news/npr/167558840/peak-farmland-some-researchers-say-it-s-here

http://greenglobalmalaysia.blogspot.ca/

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"Foster" destroyer

The injection of biofuels is a "algae fuel", a mixture of 50 percent of traditional petroleum products and 50 percent biofuel from algae oil

Cited from Navy times: http://www.navytimes.com/article/20111110/NEWS/111100338/Experimental-Navy-ship-set-alt-fuel-demo

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Microalgae products: nutritional lipids-long chain multi-unsaturated fatty acids: EPA DHA

Previously: fish oil was famous for its omega-3 fatty acid content, however fish don't actually produce omega-3s, instead accumulating their omega-3 reserves by consuming microalgae.

DHA and EPA: improving human cardiovascular health; disease prevention; cancer prevention and treatment; physical and cognitive development of infants;anti-aging;Treatment of mental health disorders; lessening the impact of rheumatoid arthritis, and prevention of liver disease.

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Microalgae products: irons, proteins and other carbohydrates products

eyes

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Research history

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overexploitation

Oil crisis

Algae biodiesel

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United States: “Aquatic Species Program (ASP)”, “Mini-Manhattan Project”

Japan: “Microalgae diesel research program”

Companies: UK “Carbon Trust”, U.S. “SolixBiofule” “Green Fuels technology”, Canada “International energy” etc.

In 2007, Canada International

Energy, Inc. announced that it has

launched its “algae to oil” research

and development initiatives.

Global research wave

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14ASP final report, 1998

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Oleaginous algae strains:

Microalgae lipid content (% dry wt)

Botryoccus braunii 25-75

Chlorella sp. 28-32

Chlorella protothecoides

(autotrophic/heterotroph

ic) 15-55

Dunaliella. Tertiolecta 36-42

Nannochloropsis sp. 31-68

Nannochlosis sp. 15-32

Crypthecodinium cohnii 20

cylindrotheca sp. 16-37

Dunaliella primolecta 23

Neochloris

oleoabundans 35-54

Nitzschia sp. 45-47

phaeodactylum

tricornutum 20-30

Schizochytrium sp. 50-77

Tetraselmis sueica 15-23

Lipid content of some microalgae species

Chlamydomonas reinhardtii has arisen as the hallmark, model organism. Although the lipid content is not high, it’s the first algae species that finished genome sequencing and annotation (Merchant, Prochnik et al. 2007). C. reinhardtii has been widely used to study photosynthesis, cell motility and phototaxis, cell wall biogenesis, and other fundamental cellular processes (Harris 2001). These studies laid a foundation for researches in other species.

Statistic

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Cell culture

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Culture nutrition:

1. Macro elements : C, H, O, N, Si---Cell synthesis, energy source, cell wall structure

2. Minor elements: P, K, S, Mg----ATP , phosphorylation of proteins, nucleic acids ; cofactor of several enzymes , signal transfer; composed of several amino acids , nucleic acids and protein.

3. Vitamins and hormones, etc.

•Growth factors: organic nutrients incorporated into the cellular structure.

4. Trace elements: Fe, Zn, Cu, Mn, Co, Mo, B----enzyme cofactors

What kind of special culture nutrition and conditions do a “green cell” need?

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Culture mediumComponents Concentration Utility

KH2PO4 0.7g/L Maintain PH, provide PO4 for nucleotidesynthesis.

K2HPO4 0.3g/L

MgSO4.7H2O 0.3g/L

FeSO4.7H2O 0.3mg/L

Glycine 0.1g/L Nitrogen source

Vitamine B1 0.01mg/L Coenzyme and cofactors, regulate metabolism or energy transformation

A5 trace mineral solution

1ml/L

Yeast extract 1.25g/L Amino acids

Glucose 10g/L

A5 trace mineral solution components

Add to 100ml of distilled water

H3BO3 286mg

MnCl2.4H2O 181mg

ZnSO4.5H2O 22mg

CuSO4.5H2O 7.9mg

(NH4)6MoO24.4H2O 3.9mg

Chlorophyta:

Clorella protothecoides belongs to genus Clorella, it is a chlorophyta. Cell size: Culture medium: Modified basal Medium (MBM)

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Carbon utilization

Chlorella protothecoides can use organic carbon source such as glucose, glycerol, starch etc. to live a heterotrophic life, the cell culture density and lipid content

are all greatly increased.

Meanwhile, it can also use inorganic and organic carbon source simultaneously to live mixtrophy life.

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http://www.vi.cl/foro/topic/1071-apuntes-de-biologia-y-quimica/page-42

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Nitrogen utilizationstarch

Amylose

Amylopectin

ADPglcG-1-P

G-6-P R-5-P DNA

F6P

CO2

Amino acid

PEP

Acytl-CoALipid

TCA

α-KG

Gln

Glu

NH4+

NO3-

IPP

σ-aminolevulinic

GPP

Chlorophyll

Phytoene Lycopene

β-Carotene

Amino acid

Glc

GA3PRuBP

CO2

R5P

Cell metabolism reprogramming in N limitation

N is an essential nutrient factor foralgae growth. It is the essentialelement formatting cell aminoacids, purines, pyrimidines, aminosugar, and the amine compound.And especially in algae cell, it isalso a essential component ofchlorophyll.

In limited N condition, protein, nucleic acid synthesis slow down so cell division and growth are restricted, most assimilated carbon are led to produce storage and stress-resistant materials such as lipid, starch, beta-carotene.

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Baeillariophyta :

Navicula pelliculosa belongs to genus Navicula, it is a diatom (Baeillariophyta). It’s a freshwater alga

Size: 7.5-10um*4-5.5um

Culture Medium: CHU-10 medium

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http://www.algae.md/Anketa.aspx?id=i355

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Silicon utilization in diatoms

Silicon is major component of diatom cell walls. Similar to the lipid trigger effect produced by N deficiency, Si depletion also results in a decrease in cell growth and often is accompanied by an accumulation of lipid within the cells.

Silicon deficiency led to an increase in the lipid content of all strains (although in some cases the increase was small and probably not statistically significant). The mean lipid content of the eight strains increased from 12.2% in nutrient-sufficient cells to 23.4% in Si-deficient cells.

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Carbon utilization

Although it can grow under heterotrophic

conditions, the growth rate is quite low.

There isn’t any mix trophic culture conditions

for this species yet.

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CO2/O2 ratio:

Photorespiration and Calvin cycle Using metabolic flux modeling with measured rates for each steady state we were able to quantify the ratio of the oxygenase reaction to the carboxylase reaction of Rubisco and the fluxes through the photorespiration pathway. This showed that the observed decrease in yield can be explained from an increase in oxygenase activity of Rubisco and the resulting process of photorespiration, up to 20.5% of the carboxylase activity. In conclusion, this study shows that elevated oxygen concentrations and the corresponding increase in the ratio of O2 versus CO2 common in photobioreactors leads to a reduction of the biomass yield on light of the microalgae C. reinhardtii.

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http://en.wikipedia.org/wiki/Photorespiration

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Metabolic flux analysis

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Source from the course “Biochemical Engineering” given by professor Mario Jolicoeur

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Light:

Light is essential for microalgae growth under autotrophic and mixtrophic conditions. Since light can active the enzyme of Rubisoco (carbon fixation) and relative enzymes to synthesis chlorophyll.

Light cycle: photoperiod

Cell growth:

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Chlorella

Lsochrysis

Platymonas

Dunaliella viridis

http://fhs-bio-wiki.pbworks.com/w/page/12145771/Factors%20effecting%20the%20rate%20of%20photosynthesis

Liu Qing, 2006

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Microalgaespecies

Chlorophyll content in unit volume

Photo period

Light cycle: Chlorophyll synthesis under different photoperiod

Chlorophyll content per cell

Chlorophyll Chlorophyll Chlorophyll Chlorophyll Total amountTotal amount

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Liu Qing, 2006

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limitation of light for high cell densities is critical for growth and lipid production Wen Zhiyou et al. (Wen Zhiyou 2003), but excessive light can also cause “photoinhibition” (Jack Myers 1940).

Light intensity:

Microalgaespecies

Chlorophyll content in unit volumePhoto intensity (lx)

Chlorophyll content per cell

Chlorophyll Chlorophyll Chlorophyll Chlorophyll Total amountTotal amount

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Lipid production in microalgae

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lipid metabolism

ACCase, acetyl-CoA carboxylase; ACP, acyl carrier protein; CoA, coenzyme A; DAGAT, diacylglycerol acyltransferase; DHAP, dihydroxyacetone

phosphate; ENR, enoyl-ACP reductase; FAT, fatty acyl-ACP thioesterase; G3PDH, gycerol-3-phosphate dehydrogenase; GPAT, glycerol-3-phosphate

acyltransferase; HD, 3-hydroxyacyl- ACP dehydratase; KAR, 3-ketoacyl-ACP reductase; KAS, 3-ketoacyl-ACP synthase; LPAAT, lyso-phosphatidic

acid acyltransferase; LPAT, lyso-phosphatidylcholine acyltransferase; MAT, malonyl-CoA:ACP transacylase; PDH, pyruvate dehydrogenase complex;

TAG, triacylglycerols.

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Randor Radakovits, 2010

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Lipid observation: Nile red fluorescent

According to the pre-scan of excitation and emission characteristics of neutral lipid standards, the excitation and emission wavelengths of 530 nm and 575 nm were selected.

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Freddy Guihéneuf, 2013

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Culture process

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Flask culture in photo incubator:

33http://www.psi.cz/products/growth-chambers-and-incubated-shakers/

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Fig. 2 Schematic overview of the photobioreactor. A: annular gap, C: condenser, D:

internal down comer, DO dissolved oxygen sensor, GA gas analyzer, I inner cylinder, L

spherical light sensor, M motor, MFC mass flow controllers for both N2 and CO2, pH pH

control connected to acid pump, S sparger, T temperature control connected to cryostat

and cooling jacket (not shown)

Photo-bioreactor

34Anna M. J. Kliphuis, 2011

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Laboratory scale:

The most critical scale-up and operational parameters:Light penetrating Mass transfer, mixing problemO2 inhibition problem- Homogeneity of environmental conditions ,- Meet the CO2 demand of the cells remove the oxygen producedShear force

These parameters are closely interrelated and they determine the productivity and efficiency of the system.

what should we consider for choosing a photo bioreactor?

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36http://bbi-biotech.com/en/produkte/fermenter-bioreaktoren/algenbioreaktor-xcubio-pbr/http://www.kaznu.kz/en/4867

http://www.labs.chem-eng.utoronto.ca/allen/about/research-equipment/

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Air-lift bioreactorAdvantages:

Excellent transfer of oxygen and other gases

Mechanical simplicity of the bioreactor

May have an immobilized biomass (fluidized)-homogeneous

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Air-lift bioreactor: Oxygen transfer efficiency (kLa):

kLa = 0,32 * U𝑠𝑔0.7 (s-1)

U𝑠𝑔: the section surface of photobioreactor.

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Pilot scale

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John R. Benemann, 2011

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Commercial scale

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My project introduction

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Problem identification

Biomass and lipid synthesis are in conflict: increasing lipid productionalways pay a cost of lower cellular growth. So the total lipid yield isseriously constrained, which becomes the main bottleneck in the research.

Lack of knowledge on algae cellular metabolism: Intracellular metabolismplays fundamental role in culture’s behaviour, but there is still no relativecomprehensive study in Chlorella protothecoides. So we have no detailedunderstanding of how the nutrition distributed in the metabolic processes,how does the related pathways competing with each other.

Lipid content was greatly different along with algae growth stages, cultureconditions and nutritional states, which make the productivity quiteunstable. No dynamic tool to guide the metabolic process control.

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Objectives

Metabolic engineering for lipid improvement: establish a comprehensive dynamic metabolic model, to guide the metabolic process control.

1. Study metabolism characterization of Chlorella protothecoides, reconstruct cell metabolism network.

2. Establish the dynamic model, which can cover most metabolic pathways, key intracellular metabolites to describe cell dynamic behaviors. Introduce the regulation of energies and intermediates on the metabolic pathway.

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3. Develop a cell engineering strategy based on the model prediction and guide our controlling process: model could help at defining optimal culture conditions and genetic engineering strategy.

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Nutrient consumption can be predicted from the model

Production of fatty acids is regulated by acetyl CoA carboxylase (ACCase)(Post-Beittenmiller and Roughan 1992, Bao and Ohlrogge 1999). Cyclotella cryptica ----(ACCase was overexpressed 2-3 folds) -----C. cryptica and Navicula saprophila

Fatty acid synthase has been suggested to be another rate-limiting regulator of lipid production and several studies have been performed where a single enzyme of the FAS complex is overexpressed (Roesler and Shintani 1997).

Overexpress of a certain key enzyme might not be sufficient to enhance the whole lipid synthesis. It tells us the interplay and metabolic balance of every metabolites should be considered as a whole. And preferable but balanced control of metabolic flux is essential to improve lipid synthesis. Metabolic modeling that can simulate flux of fatty acids through TAG biosynthetic pathways and intracellular metabolic networks should play an important part in developing strategies for future genetic manipulation

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Methodology

Strain: Chlorella protothecoides

Culture conditions:

- Temperature: 28℃

- Basic medium: MBM; 1% Glucose in mixtrophic and heterotrophic culture

- Other condition: 5% CO2, and 8-W fluorescent light are provided for

autotrophic and mixtrophic culture

Autotrophy: A

Mixtrophy: M

Heterotrophy: H

A M H

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Analysis methods:

1. Glucose, lactate, glutamine, glutamate analysis

Samples were automatically detected by YIS 2700 select, biochemistry analyzer

2. Lipid extraction and analysis: Acetone and sulfosalicylic acid; absorbance

was read at 440nm by UV-VIS determination

3. Other intracellular metabolites: Methanol extraction and analyzed on

HPLC-MS-MS

Glycolysis, photosynthesis, PPP, TCA: Sugar phosphate and organic acid: F6P

R5P G1P G6P Succ Ru5P X5P alpha-keto PEP fumarate pyruvate Gly-1-P

Oxidative phosphorylation, Energy flow: Redox+nucleartide: ATP ADP AMP UTP

UDPG GTP NADPH

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Sugar phosphate and organic acids: Glycolysis, photosynthesis, PPP, TCA

y = 0.772x + 0.2074R² = 0.9674

0

5

10

0 5 10 15

pyruvate

y = 0.9497x + 13.144R² = 0.8553

0

10

20

30

0 5 10 15

gly1P

y = 0.7948x + 4.6489R² = 0.9721

0

5

10

15

0 5 10 15

G6P

y = 0.8038x + 17.464R² = 0.6734

0

10

20

30

0 5 10 15

succ

y = 1.1918x + 3.5046R² = 0.9064

0

5

10

15

20

0 5 10 15

Ru5P X5P

y = 0.7397x + 4.1027R² = 0.8952

0

5

10

15

0 5 10 15

F6Py = 0.7902x + 3.0261

R² = 0.9845

0

2

4

6

8

10

12

0 5 10 15

R5P

y = 0.8648x + 1.1697R² = 0.9766

0

2

4

6

8

10

12

0 5 10 15

G1P

y = 0.6118x + 4.4918R² = 0.9657

0

5

10

15

0 5 10 15

PEP

y = 0.9059x - 0.5468R² = 0.9817

-5

0

5

10

0 5 10 15

fumaric

y = 0.6811x + 0.2283R² = 0.8875

0

2

4

6

8

10

0 5 10

alpha-keto

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Energy state, Redox nucleotide: Oxidative phosphorylation, Energy flow

y = 0.967x + 1.1531R² = 0.9927

0

5

10

0 2 4 6 8

exp

(u

M)

std add (uM)

ADP

y = 0.9219x + 4.1698R² = 0.9631

0

5

10

15

0 2 4 6 8

exp

(u

M)

std add (uM)

AMPy = 1.0386x + 1.1845

R² = 0.989

0

2

4

6

8

0 2 4 6 8

exp

(u

M)

std add (uM)

ATP

y = 0.9909x + 0.9515R² = 0.9899

0

2

4

6

8

0 2 4 6

exp

(u

M)

std add (uM)

UTP

y = 1.2327x + 2.1163R² = 0.9927

0

5

10

15

0 2 4 6 8

exp

(u

M)

std add (uM)

UDPG

y = 1.3155x + 0.9594R² = 0.9945

0

2

4

6

8

10

0 2 4 6

exp

(u

M)

std add (uM)

GTP

y = 1.1807x + 0.8449R² = 0.9948

0

2

4

6

8

0 2 4 6

exp

(u

M)

std add (uM)

NADPH

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Preliminary resultsChapter 1: Culture characterization

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-5.00E+07

0.00E+00

5.00E+07

1.00E+08

1.50E+08

2.00E+08

2.50E+08

0 50 100 150 200

cell

nu

mb

er (

cell/

ml)

Time (h)

Cell growth

A1 A2 M1 M2 H1 H2

0

20

40

60

80

100

120

140

160

0 50 100 150 200

(mm

ol/

L)

Time (h)

Glucose consumption

H M

0

2

4

6

8

10

12

14

16

18

0 50 100 150 200

% D

W

Time (h)

lipid content

A M H

0.106 (1/h)0.145 (1/h)

0.154 (1/h)

A: 5.04gDW/L

M: 9.54gDW/L

H: 10.32gDW/L

Biomass:Culture behavior

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48h

120h

144h

AUTO

MIXTRO

HETERO

Chlorophyll-fluorescent-365nm excitation

White light-normal cells

Chlorophyll synthesis

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0.00E+002.00E-094.00E-096.00E-098.00E-091.00E-081.20E-081.40E-08

0 50 100 150 200 250

G1P

A M H

0.00E+00

5.00E-09

1.00E-08

1.50E-08

2.00E-08

0 50 100 150 200 250

F6P

A M H

0.00E+00

2.00E-09

4.00E-09

6.00E-09

8.00E-09

0 50 100 150 200 250

PEP

A M H

0.00E+00

5.00E-08

1.00E-07

0 50 100 150 200 250

PYR

A M H

Glycolysis and gluconeogenesis

X axle: time-hY axle: [C]-nmol/cell

0.00E+00

2.00E-08

4.00E-08

6.00E-08

8.00E-08

1.00E-07

0 50 100 150 200 250

G6P

A M H

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0.00E+00

1.00E-10

2.00E-10

3.00E-10

4.00E-10

5.00E-10

6.00E-10

0 50 100 150 200 250

R5P

A M H

0.00E+00

5.00E-10

1.00E-09

1.50E-09

2.00E-09

2.50E-09

0 50 100 150 200 250

X5P

A M H

PPP and Calvin cycle

X axle: time-hY axle: [C]-nmol/cell

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Intermediate metabolites concentration in gluconeogenesis pathway are much higher than that of mixtrophy and heterotrophy, this accumulation further extended to the PPP pathway on R5P and X5P;

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0.00E+00

2.00E-08

4.00E-08

6.00E-08

8.00E-08

1.00E-07

1.20E-07

0 50 100 150 200 250

MAL

A M H

0.00E+00

5.00E-08

1.00E-07

1.50E-07

2.00E-07

2.50E-07

0 50 100 150 200 250

SUCC

A M H

0.00E+00

5.00E-08

1.00E-07

1.50E-07

2.00E-07

0 50 100 150 200 250

CIT isocit

A M H

0.00E+00

5.00E-09

1.00E-08

1.50E-08

2.00E-08

0 50 100 150 200 250

FUM

A M H

0.00E+00

2.00E-08

4.00E-08

6.00E-08

8.00E-08

1.00E-07

1.20E-07

0 50 100 150 200 250

AKG

A M H

TCA cycle

X axle: time-hY axle: [C]-nmol/cell

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TCA cycle is the starting point for many anabolisms, such as lipid, protein and so on. Therefore, this result explains the metabolic basis that lipid content was significantly higher in heterotrophy and mixtrophy culture than in the autotrophy culture.

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Energy state: oxidative phosphorylation pathway

0

10

20

30

40

50

60

70

Autotrophy Mixtrophy Heterotrophy

Energy state: ATP/ADP

48h 120h 192h

Energetic level of the cells within time

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Amino acids: Nitrogen source metabolism

0

0.5

1

1.5

2

2.5

3

3.5

4

Extracellular AA concentration (mmol/L) 0 hour

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GLU

G6P

F6P

1mol GA3P(glyceraldehyde-3-P)

3-P-G

PEP

PYR(pyruvate)

Acetyl-COA

COASH

Malonyl-COA

Malonyl-ACP

Acetyl-ACP

Butyrul-ACP

ß -Ketoacyl-ACP ß -Hydroxybutyrl-ACP

Trans-delta-butenoyl-ACP

16:0-ACP

16:1-ACP

(PA)16:0

18:0-ACPStearic acid

18:1-ACP18:1 ω9

Δ9

18:2 ω9 Δ6,9

20:2 ω9 Δ8,11

20:3 ω9 Δ5,8,11

22:3 ω9 Δ7,10,13

22:4 ω9 Δ4,7,10,13

ω9 family

18:2 ω6 LA Δ9,12

18:3 ω6 GLA

Δ6,9,12

20:3 ω6 Δ8,11,14

20:4 ω6 AA

Δ5,8,11,14

22:4 ω6 Δ7,10,13,16

22:5 ω6 Δ4,7,10,13,16

ω6 family

18:3 ω3 GLA

Δ9,12,15

18:4 ω3 Δ6,9,12,15

20:4ω3 Δ8,11,14,17

20:5 ω3

EPA Δ5,8,11,14,17

22:5 ω3 DPA

Δ7,10,13,16,19

22:6 ω3 DHA

Δ4,7,10,13,16,19

ω3 family

DHAP(Dihydroxyacetone-P)

G-3-PGlycero-3-phospate

LPALysophosphatidic

PAPhosphatidic acid

DAGDiacylglycerol

TAGTricylglycer

ide

FFAFree fatty

acids

Acyl-COA

R5P

X5P

R5P

E4PP

CO2

ATP

ADP

ADP+H+

ATP

NADH+CO2

NAD+ COA

HKGCK

G6PI

PFK

PK

PGAM

Δ6desau

Δ6desauΔ6desau

Enlong

Δ5desau

Enlong

Δ4 desau

Enlong

Δ5desau

Enlong

Δ4 desau

Enlong

Δ5desau

Enlong

Δ4 desau

Δ7desau

ACCase

CO2

MAT

Acety-COA

CO2+COA

KASⅢ,I

NADPH+H+ NADP+

KASⅢ,I

H2OHAD

HADNADP+

H+ NADP+

×6cycles

×7cycles

OAT

ACP

Δ9desau

Δ9desau Δ9desau

FAT

ACS

COASH

GPAT LPAAT PP DGTA

PC LPCCPT

PDAG

rPiA

rPiB

rpe

tktA

tktB

S7P

G3P

talB

OAAOxaloacetate

CIT(citrate)

ISO(isocitrate)

α- KGα- Ketoglutarate

SCOASuccinyl-COA

SUCSuccinate

FURFurnatrate

MALMalate

NADPH+H+NADP+ Pi

CO2COASH

NADPH+H+

NADP+ Pi

2 H2O O2

hv ATP+NADPH

Arginine,methionine,Lysine,AsparagineThreoinine

SerineGlycineCysteineLeucine

ChlorophyII

NH4+

NO2-

NO3-

Acyl-ACP

Chloroplast

Endoplasmic reticulum (ER)

Mitochondrion

Component transfer

Enzyme

Starch + Carbohydrates DNA,RNA

NADH ATP NAD+NADPH NADH+NADP

FADH2 ATP ATP+AMP 2ADP

H2O+PPi 2Pi+H+ ATP+H2O ADP+Pi+H+

O2

O2

Sterol

FBP

Glutamate

O2

HKGCK

1

2

3

ATP

ADP

H2O

4

5

6

NADH + ATP 7

H2O 8

9

10

11

12

13

14 15

16

17

18

19

20

21

22 23

24

25

26

29

30

31

32

33

28

3635

34

R5P

TAG

G6P

Glycine

Chlorophyll

Biomass

Metabolic pathway

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Conclusion:

1. Developed culture characterizations of the three metabolic

strategies in Chlorella protothecoides.

2. Developed analysis methods, tracked variation of

metabolites on central metabolic pathways, studied flux

distribution in three culture strategy and collected data for

model development.

3. Established Chlorella protothecoides’ metabolic pathway

based on databases.

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Chapter2: Model development

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Model development:

We consider only carbon metabolism in the primary work, nitrogen and energy metabolism will be added in our model later.

We assume G6P, glycine, lipid, R5P and chlorophyll make contribution to biomass growth.

we assume all the reactions are only one direction, reverse reactions will be considered later.

No other regulation in the metabolism process, this will also be considered in our latter work.

Model hypothesis:

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G6P

GA3P

3-P-G

PYR

Acetyl-COA

X5P

CO2

α- KG

R5P

Lipid

G6P

ChlorophyllNH4+ Glutamate

ATP

RuBPrubisco

Glycine

NADH

NAD+ADP

ATP

ADP

ChlorophyllF6P

PEP

RU5P

r5P

ATP

ADP

R5P

ATP

ADP

Lipid

NADP

NADPHATP

ADP

SUCCacid

Fumaricacid

Malac acid

NADH

NAD+NAD+ADP

NADH+ATP

ADP ATP

NADH NAD

O2

Biomass

Glycine

EGLC

r1

r2

r3

r4

r5

r6

r7

r8

r9

r10r11

r12 r13

r14

r14

r15

r16

r17

r18

r19 r20

r21

r22

r23

r24

NADH

NAD+

Metabolic network and stoichiometric: Glycolysis

r1 EGLC+ATP----G6P+ADP

r2 G6P ---F6P

r3 F6P+ATP ----GA3P+ADP

r4 GA3P+ADP+NAD----3PG+ATP+NADH

r5 3PG ----PEP

r6 PEP+ADP -----PYR+ATP

r7 PYR+NAD -----Acetyl-COA+NADH

Lipid synthesis

r8Acetyl-COA+ATP+NADPH ---- lipid+ADP+NADP

Photosynthesis

r9 RuBP---- GA3P

r10 GA3P -----R5P

r11 R5P -----RuBPPPP pathway

r12 G6P -----Ru5P

r13 Ru5P ----- R5P+X5P

r14 R5P+X5P ---- F6P

TCA cycle

r15 Acetyl-COA ----- Malac

r16 Malac +NAD -----α- KG+NADH

r17 α- KG _NAD_ADP-----Succac+NADH+ATP

r18 Succac ------Fumaric

r19 Fumaric ------ Malac

r20 α- KG+NH4 -----Glutamate

Chlorophyll synthesis

r21 Glutamate----Chlorophyll

r22 Glycine----PYR

Oxidative phosphorylation

r23 ATP ---- ADP

r24 ADP +NADH------ ATP+NAD

Biomass synthesis

r25 R5P+lipid+Glycine+G6P+Chlorophyll ---- X

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Model functions:

2. Cell growth: Multi-Monod-equation

3. Mass balance

1. Biochemical reaction kinetics: Multi-Michaelis-Menten equation

𝑉 = 𝑉max

𝑖=1

𝑁𝑠𝐶𝑆𝑖

𝐾𝑚𝑆𝑖 + 𝐶𝑆𝑖

𝑑[𝐶𝑆𝑖𝑑𝑡=

𝑖=1

𝑀

𝑉𝑖𝑛𝑝𝑢𝑡𝑖 −

𝑗=1

𝑁

𝑉𝑜𝑢𝑡𝑝𝑢𝑡𝑗 − a × 𝑉𝑔𝑟𝑜𝑤𝑡ℎ − 𝐶𝑆𝑖 × 𝑉𝑔𝑟𝑜𝑤𝑡ℎ

𝑉_𝑔𝑟𝑜𝑤𝑡ℎ

= 𝑉_𝑔𝑟𝑜𝑤𝑡ℎ𝑚𝑎𝑥 ×𝑅5𝑃

𝑅5𝑃 + 𝐾𝑚_𝑅5𝑃×

𝐿𝑖𝑝𝑖𝑑

𝐿𝑖𝑝𝑖𝑑 + 𝐾𝑚_𝑙𝑖𝑝𝑖𝑑×

𝐺𝑙𝑦𝑐𝑖𝑛𝑒

𝐺𝑙𝑦𝑐𝑖𝑛𝑒 + 𝐾𝑚_𝑔𝑙𝑦𝑐𝑖𝑛𝑒

×𝐺6𝑃

𝐺6𝑃 + 𝐾𝑚_𝐺6𝑃×

𝐶ℎ𝑙𝑜𝑝ℎ𝑦𝑙𝑙

𝐶ℎ𝑙𝑜𝑟𝑜𝑝ℎ𝑦𝑙𝑙 + 𝐾𝑚_𝐶ℎ𝑙𝑜𝑟𝑜𝑝ℎ𝑦𝑙𝑙

Contribution to Biomass

Cell dilution Extracellular

× 𝐵𝑖𝑜𝑚𝑎𝑠𝑠

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Simulation results of model and

experimental data

Simulation result:

Biomass

G6P

EGlucose

F6P

PYR AKG

64

G6P

GA3P

3-P-G

PYR

Acetyl-COA

X5P

CO2

α- KG

R5P

Lipid

G6P

ChlorophyllNH4+ Glutamate

ATP

RuBPrubisco

Glycine

NADH

NAD+ADP

ATP

ADP

ChlorophyllF6P

PEP

RU5P

r5P

ATP

ADP

R5P

ATP

ADP

Lipid

NADP

NADPHATP

ADP

SUCCacid

Fumaricacid

Malac acid

NADH

NAD+NAD+ADP

NADH+ATP

ADP ATP

NADH NAD

O2

Biomass

Glycine

EGLC

r1

r2

r3

r4

r5

r6

r7

r8

r9

r10r11

r12 r13

r14

r14

r15

r16

r17

r18

r19 r20

r21

r22

r23

r24

NADH

NAD+

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Future work

Nutrition strategy based on the model prediction

-Analysis of the flux distribution and identify key enzymes and nutrient

limitations along the time profile.

-Develop a real-time control nutritional strategy to improve lipid production

based on model prediction.

-Predict hypothesis of knocking off relevant genes, which will also provide a

further strategy to improve the lipid production.

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Acknowledgement

Thanks for my supervisors Prof. Mario Jolicoeur, Jean-Sébastien Deschênes, Réjean

Tremblay support my research.

Thanks for our technician Jingkui Chen and other partners' help in my work.

Thanks for the supports from the organizations.

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Lab course plan

- Medium preparation: modified basal medium

- Inoculation: 1.0*106cell/ml

- Microscope observation: cell size, cell density, chlorophyll

- Cell harvest: 3600rpm, 5min, wash cells.

- lipid analysis: Acetone and sulfosalicylic acid; absorbance was read at

440nm by UV-VIS determination

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Merci!68