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MIT in Japan January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic Engineering Laboratory MIT in Japan 15 th Annual Symposium for Japanese Industry Keidanren Kaikan January 25, 2013 A new Biotechnology for the 21 st century: key enabler of a sustainable bio-based economy Gregory Stephanopoulos MIT

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Page 1: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

MIT in Japan

15th Annual Symposium for Japanese

Industry

Keidanren Kaikan January 25, 2013

A new Biotechnology for the 21st

century: key enabler of a

sustainable bio-based economy

Gregory Stephanopoulos

MIT

Page 2: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Global Biotech business

2010 2015

• Food $80B 100

• Medical 125 225

• Agricultural 15 25

• Marine 10 20

• Industrial 80 180

• TOTAL $310B $550B

Sources: Frost & Sullivan, BCC Research

Page 3: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Why

Microbes & Biotechnology?

Page 4: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Many possible reasons:

• Specialty chemicals, pharmaceuticals

• No alternative technology

• Complex bio-transformations

• Economics

Page 5: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Drivers for explosive growth of biotech

in the 21st century:

• Push for Process Sustainability

• Technology advances • Metabolic Engineering

• Engineering microbes for any

conversion at very high selectivity

• Opportunity for rural development

Page 6: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Drivers for explosive growth of biotech

in the 21st century:

• Process Sustainability • Distant secondary:

• Depletion of fossil resources

• Strategic reasons (developing

alternatives to imported fuels)

Page 7: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

-$20

$0

$20

$40

$60

$80

$100

$120

$140

$160

$180

$200Per Barrel Cost Oil Equivalent Product Prices

CO2 cost (ignoring indirect CO2 consequences) Carbon Storage CostAdditional Transportation Cost Non-Feedstock Oper CstCapital Cost Feedstock Cost

Page 8: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

- $60

- $40

- $20

$0

$20

$40

$60

$80

$100

$120

$140

$160

$180

$200 Per Barrel Cost Oil Equivalent Product Prices

CO2 cost (ignoring indirect CO2 consequences) Carbon Storage Cost Additional Transportation Cost Non - Feedstock Oper Cst Capital Cost Feedstock Cost

Cost of fuels produced from biomass (B), coal (C), or combined coal and biomass (CB) using

biochemical conversion (that is corn ethanol or cellulosic ethanol) or thermochemical conversion via

Fischer-Tropsch (FT) or MTG with a carbon tax of $50 per tonne CO2 added. For thermochemical

conversion, FT and MTG with or without carbon capture and sequestration (CCS)

NRC Study on

Alternative fuels, 2008

Page 9: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Global CO2 emissions

Page 10: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Atmospheric Carbon Dioxide

Page 11: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Page 12: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Technology advances:

Engineering microbes for any

conversion at very high selectivity

Biotechnology beyond biofuels

Page 13: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Engineering microbes for any

conversion at very high selectivity

Biotechnology beyond biofuels • Propylene

• Acrylic, adipic, lactic acids

• Terephthalic acid (PET)

• Succinic acid, BDO, PDO

• Isoprene

• Biopolymers (PLA, PHB,…)

• Fats, fatty alcohols, detergents

• Polysaccharides, gums

Page 14: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Biochemical

vs.

Thermochemical

Page 15: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Process Block Flow Diagram for FT ethanol

Page 16: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Poplar -> Ethanol

Cellulosic Ethanol Process Flow Diagram

Lignocellulosic

Biomass

Ethanol

Residual Solids

1

2 Pretreatment Saccharification FermentationDistillation and Drying

3 4

Centrifugation

Solids

Liquid 5

6

Water 7

8

Water

Enzyme

(Cellulase, Hemicellulase, etc)Yeast

Steam Steam

Backset

Page 17: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Biochemical vs. thermochemical

Thermochemical (via syn gas) Advantage: Feedstock agnostic

Disadvantage: Requires large, intergrated

plant to offset large capital costs

Biochemical (mainly sugar platform) Advantage: Simple, linear process, high

selectivity, smaller plants

Disadvantage: Depends on availabiity of

cheap sugars

Page 18: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

0. A primer on feedstocks

and chemical products

Page 19: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

From W. Banholzer, DOW

Page 20: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Plentiful

Biomass?

Page 21: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

How much biomass is there?

BTS (DOE): 1.37 billion tons/year

NAE-NRC study on Alternative Fuels:

Feedstock type Current amount By 2020

(million tons)

Corn stover 76 112

Wheat and grass straw 15 18

Hay 15 18

Total cropland biomass 106 148

Dedicated biofuel crops 102 164

Woody biomass 110 137

Paper and paperboard 10 20

Animal manure 6 12

Municipal solid waste 90 120

TOTAL 424 601

Page 22: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Overview of Brazil sugarcane

• ~8 M Ha planted 2009

• ~27 B L Ethanol, 2009

• ~80-120 T/Ha

• ~6400 L ethanol/Ha

• ~429 mills

• Plantings last 5-12 y

• Large mill

– 22,000 tons/day

– 750 truck loads/day

http://english.unica.com.br/content/show.asp?cntCode ={D6C39D36-69BA-458D-A95C-815C87E4404D}

Page 23: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Determining Long-term

Equilibrium Biomass Costs

Biomass supply economics

Cheap

Biomass?

Page 24: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

From W. Banholzer, DOW

Page 25: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

A new biobased economy:

Principally, a feedstock, market

and technology story

Sugar-biomass based: Great availability

Alternative sources. No need to compete with food

Dramatically alters decision making with regards to

resource utilization

Biotechnology is natural technology for sugar

modification and upgrade to bio-products

Growing market for products with low carbon

footprint

Page 26: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Cells:

Little chemical

factories with

thousands of

chemical compounds

interconverted

through thousands of

chemical reactions

Main substrate:

Sugars

Products: Virtually

infinite

Page 27: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Rxn

1

Rxn

3

Rxn

2

Rxn

5

Rxn

4

Rxn

6

Pentanol

Substrates

P 2 P 4

P 4

27

CoA activator

CoA remover

HPLC analysis

Engineering microbes to produce any

product

Page 28: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Microorganisms

They αre found

everywhere, from the

human gut to the hot

springs of Yellowstone

Park

Page 29: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Metabolic Engineering, the biotech

revolution, and the chemical-fuels industry

(White Biotech)

Fuels and chemicals were the initial biotech target

Cetus (Chiron), Genex, Biogen

More challenging technical problem than insulin Switch of emphasis to medical applications

Changing boundary conditions

Emphasis on renewable resources

Robust US federal funding Applied mol. biology

Genomics

Systems Biology: a new mindframe in biological research

Metabolic Engineering

Exploit applications of biology beyond medicine

Page 30: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

I. Origins of

Metabolic Engineering

Page 31: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Mixed cultures: Multi-step

synthesis within a single tank

Scale

V (L) Feed Tank

F (L/h)

Waste

Tank

F (L/h)

Parameters:

• Dilution Rate, D=F/ V

• Substrate feed, Sf

M1 +

B1

S

B2 P (Glucose)

+

+ M2

-

Science, 213: 972-979 (1981)

Page 32: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Metabolic Engineering: Engineering multi-step pathways within a single cell

Asp

Lysine

CO2

Glt

Gln

Aspartatic semialdehyde Homoserine

Threonine

Methionine

Trehalose

PYR

H4D

meso-DAP

Suc

OAA

GLC6P

FRU6P

GAP

Acetate

ALA, VAL, LAC

Ribu5P

Sed7P E4P Fru1,6bP

G3P

GLC

PYR

PEP

AcCoA

Isocit

aKG

Mal

Fum

Page 33: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Metabolic Engineering as a new

Organic Chemistry

Metabolic Engineering: Making improved

biocatalysts capable of:

Enhanced production of a native product

to a microorganism

Formation of a product that is new to the

microorganism

Synthesizing novel products

Page 34: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

ths

ASP

ASA

DAP

Lys

Hom

Meth

Thr

Ile

hdh

hk dapA

Science, 252: 1675 (1991)

Biotech. & Bioeng. 41 633 (1993),

Biotech. Progress, 10: 320 (1994)

Biotech. & Bioeng. 58: 149 (1998) Science: 292:p.2024 (2001)

Metabolic Engineering: Strain

improvement using genetic tools

Page 35: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Schematic pathway of aminoacid biosynthesis in C. glutamicum

Asp

Lysine

CO2

Glt

Gln

Aspartatic semialdehyde Homoserine

Threonine

Methionine

Trehalose

PYR

H4D

meso-DAP

Suc

OAA

GLC6P

FRU6P

GAP

Acetate

ALA, VAL, LAC

Ribu5P

Sed7P E4P Fru1,6bP

G3P

GLC

PYR

PEP

AcCoA

Isocit

aKG

Mal

Fum

Page 36: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Probing metabolic pathways using

isotopic tracers

Capable of:

• Reconstructing metabolic networks

• Calculating pathway fluxes

• Identifying rate-controlling steps

Page 37: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Schematic pathway of aminoacid biosynthesis in C. glutamicum

Asp

Lysine

CO2

Glt

Gln

Aspartatic semialdehyde Homoserine

Threonine

Methionine

Trehalose

PYR

H4D

meso-DAP

Suc

OAA

GLC6P

FRU6P

GAP

Acetate

ALA, VAL, LAC

Ribu5P

Sed7P E4P Fru1,6bP

G3P

GLC

PYR

PEP

AcCoA

Isocit

aKG

Mal

Fum

Simultaneous amplification of

pyc and ask increased lysine qp

by 100-300%

Park et al.,Biotech. & Bioeng., 55: 864 (1997)

Koffas et al., Metabolic Eng., 5:32-41, (2003)

Page 38: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

II. Differentiating

characteristics of

Metabolic Engineering

Page 39: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

How does Metabolic Engineering differ

from Genetic Engineering?

… Metabolic engineering differs from Genetic

Engineering and related molecular biological

sciences in that it concerns itself with the

properties of the entire metabolic network as

opposed to individual genes and enzymes.

"Metabolic Engineering: Issues and Methodologies," Trends in Biotechnology, Vol. 11, pp.

392-396 (1993)

Page 40: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Differentiation of

Metabolic Engineering

Integration. Concern about the function of

the entire pathway (Systems biology)

Established identity of ME with distinct

goals and intellectual content

Pathway optimization using concepts from

Chemical Reaction Engineering (not

stitching genes together)

Page 41: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

What is

Metabolic Engineering?

Page 42: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

1. Flux determination in metabolic networks.

Identification of bottlenecks in pathways

2. Precise control of gene expression and

metabolic fluxes

3. Constructing new metabolic pathways

- Cloning or synthesizing genes (codon

optimized) from various sources and transferring

them to the host cell

- Identifying gene targets

4. Eliciting tolerance to various stresses

5. Inverse Metabolic Engineering

Technologies of Metabolic Engineering

Page 43: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

III. Accomplishments of

Metabolic Engineering

Page 44: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Past record of Metabolic Engineering

Aminoacids: Increases in lysine spec. productivity by 120-300%

Ethanologenic E. coli (also: butanologenic E. coli)

Biopolymers (Metabolix-ADM)

1,3 propane diol (DuPont-Tate and Lyle)

Indan-diol production (precursor of Crixivan-HIV protease inhibitor): Yield increased from 25% to 95%

Artemisinin (amorphadiene) production by yeast and E. coli

Lycopene production in E. coli: Increase from 4,500 to ~25,000 ppm of CDW, fermentations 250 mg/L

Many other applications: Succinate, BDO

3-HPA

Threonine

Tamiflu precursor

Page 45: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

C&E News, Business Concentrates, March 16, 2009

Page 46: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

III. Accomplishments of

Metabolic Engineering:

Expressing whole pathways,

natural or unnatural, in

microorganisms

Page 47: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Aromatic amino acid biosynthetic pathway

E4P + PEP

aroF

DAHP

Shikimate

Chorismate

Prephenate pheA

tyrA

aroG,H

4-HPP

L-Trp

L-Phe

L-Tyr

Rational Design Approaches

1. Eliminate main competing reactions (pheA deletion)

2. Overexpress enzymes constituting major bottlenecks (aroG, tyrA)

3. Eliminate feedback repression of enzymes (aroGfbr, tyrAfbr)

4. Eliminate negative transcriptional regulator (TyrR deletion)

47

TyrR

AAA genes

Page 48: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Naringenin Production

48

• Economic incentive for producing naringenin

directly from glucose

* Calculated from prices of the largest

available quantities on Sigma-Aldrich

Page 49: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Menthol

Terpenoid Biosynthetic pathway: Diversity in natural product chemistry

Monoterpenoids

Sesquiterpenoids

Antimalarial

Artemisinin

Carotenoids

Lycopene

Eleutherobin

OH

H

O

O

O

O

O

O

O

OH

O

O

OH

NH

O

Taxol

diterpenoids

Polyisoprnoids

Polyisoprene Natural rubber

Anticancer drugs

Page 50: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

III. Accomplishments of

Metabolic Engineering:

Conducting difficult and new

chemistry

Page 51: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Pentanol Synthesis

51

Challenges:

1. Supply of building block

(Propionyl-CoA)

2. Condensation reaction of

C2 + C3

3. Acceptance of 5-carbon

substrates for the rest of

pathway enzymes

Page 52: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Redirecting Carbon Flux

Rxn

1

Rxn

3

Rxn

2

Rxn

5

Rxn

4

Rxn

6

Pentanol

Substrates

?

P 2 P 4

P 4

52

CoA activator

CoA remover

HPLC analysis

Page 53: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory 53

Thiolase

Dehydrogenase

&

Dehydratase Mutase Reductase

Biofuels toolkit

Page 54: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory 54

Biofuels toolkit

Page 55: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

a

0

10

20

30

40

0

10

20

30

40

50

60

70

0 20 40 60 80 100

OD

60

0n

m

Ta

xa

die

ne

5a

-OH

(mg

/L)

(mg

eq

uiv

ale

nto

fta

xa

die

ne

/L

Time (h)

c

T5αOH

H

H

Taxa-4(5),11(12)-diene

H

H

O

O

ONH

O

O HOH

OHO

O

O

H

O

O

OO

Taxol

OH

Taxa-4(20),11(12)-dien-5α -ol

OH

b

d

1

2

3

Predicted 42AA TM region in T5aOH

Predicted 74AA TM region in TCPR

One amino acid substituted bovine 17a hydroxylase

N-terminal 8 residue peptide MALLLAVF fused with

8, 24 and 42AA truncated from the TM region in T5aOH

GSTGS peptide linker between TM engineered

T5aOH and 74AA truncated TCPR

0

5

10

15

20

25

Ta

xa

-4(2

0),

11

,12

-die

n-5

a-o

lp

rod

uc

tio

n(m

ge

qu

iva

len

to

f

tax

ad

ien

e/L

)

P450 oxidation: First step in the

pathway to taxol

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MIT in Japan

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Engineering Laboratory

Metabolic Engineering:

Platform for a Biobased

economy

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Engineering Laboratory

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January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

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Engineering Laboratory

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Metabolic Engineering:

Platform for discovery and

production of new therapeutics

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MIT in Japan

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2- synthase 8 – hydroxylase 5 – transferase

2- oxidase 1 - Aminomutase 1 - Co-ligase

19- enzymes from IPP and DMAPP

Taxol pathway

Future directions of ME-2

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The Pharm

Synthetic

Biosynthetic

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Engineering Laboratory

Our Vision of the Pharm

Combinatorial

chemistry

High-throughput

screening

Metabolic engineering

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A few illustrative examples

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Example 1

Engineering an obese

microbe for

oil overproduction

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Engineering Laboratory

Converting sugars to oil for

Biodiesel production

Key points:

It is a bad idea to use vegetable oils for biodiesel

Sustainable biodiesel production MUST be based

on carbohydrates Gallons GE/acre/year

Soybeans 48

Sesame 74

Jatropha 202

Cellulosic ethanol 533

Sugarcane ethanol 566

Algae ~6,000

Need organisms capable of converting sugars to

fats and lipids (or Free Fatty Acids, FFA)

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Engineering Laboratory

Conversion Yield is critical

1 Gallon of biodiesel = 3.8 Liters = 3.4 Kgs

Assuming a Theoretical Yield of 31%, 3.4 Kgs can

be produced from 3.4 / 0.31 = 11 Kgs of Glucose

that costs ~ $1.20-1.40

• Hence, biodiesel can be produced from sugars

at an estimated total cost of $1.80-2.00

• Key: Achieving yields as close to

maximum as possible

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Wild type

Recombinant Some results on recombinant

oil producing microbe

Total sugar consumed: 312 g/L

Total oil produced: 80g/L in 72 hours

Yield: 29.4%

Theoretical Maximum Yield: 31%

0

10

20

30

40

50

60

70

80

90

0 24 48 72

FA

ME

(g

/l)

Lipid production

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72 hour fermentation. C5 Xz supplemented with 200g/L of glucose.

Yield for mutant 3 is 41/155 = 26.5%

Mutant 2 Mutant 1 Mutant 3

41

155

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Example 2

Engineering the isoprenoid

pathway for natural product

overproduction

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Menthol

Terpenoid Biosynthetic pathway: Diversity in natural product chemistry

Monoterpenoids

Sesquiterpenoids

Antimalarial

Artemisinin

Carotenoids

Lycopene

Eleutherobin

OH

H

O

O

O

O

O

O

O

OH

O

O

OH

NH

O

Taxol

diterpenoids

Polyisoprnoids

Polyisoprene Natural rubber

Anticancer drugs

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73

How efficient is the MEP Pathway?

• Prior studies yielded modest results (a few mg/L of taxadiene)

• Is the MEP pathway somehow deficient in isoprenoid production?

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Engineering Taxol biosynthetic pathway in E. coli

– most challenging and complex chemistry in natural products

19- enzymes from IPP and DMAPP

a

b c

OH

O

O

OP

O

dxs

OP

O

OH

OH

ispC ispD

OPP-cyt

OH OH

ispE

OH OH

OP PO

ispG

PYR

G3P

DXP CDP-ME

OPP

OPP

idi

IPP

DMAPPME-cPP

ispHispF

O P P

GeranylgeranylDiphosphate

GGPPSynthaseTaxadiene

synthase

H

H

Taxa-4(5),11(12)-diene

OH

OH

OH

Glycerol

OH

1. Ep20TrcGT

2. ECh1TrcMEPp20TrcGT

3. Ep5TrcMEPp20TrcGT

4. Ep10TrcMEPp20TrcGT

5. Ep5TrcMEPp20TrcTG

6. Ep5TrcMEPp20T5GT

7. Ep5TrcMEPp20T5GTTrcT

8. Ep10TrcMEPp20TrcTG

9. Ep10TrcMEPp20T5GT

10.Ep10TrcMEPp20T5GTTrcT

d *To

tal

Ion

Co

un

t (a

.u.)

Time (min)

1 2 3

4

5

6

7

8

9

10

Upstream pathway

Downstream pathway Two genes, GGPP synthase and Taxadiene synthase from taxus Pacific yew are grafted into E. coli isoprenoid pathway

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Modulating the upstream and downstream pathway for amplifying taxadiene production

YW140=T5 single YW22=T7, single AP5TrcGT=single AP3TrcGT=10 copies AP4TrcGT=5 copies AP4TrcTG=5 copies AP4T5GT=5 copies

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MIT in Japan

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Engineering Laboratory

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Engineering Laboratory

Unknown molecule

Internal standard

MS - unknown molecule

MS - Taxadiene

Why the optimal expression for high taxadiene production? Presence of unknown inhibitory molecule in the pathway

AP2T7TG

AP2T7TG-IPTG

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Engineering Laboratory

a

b c

To

tal

ion

co

un

t

strain 21

strain 20

strain 22

1

21

2

*

0.01

0.1

1

10

0.00E+00 5.00E+05 1.00E+06 1.50E+06 2.00E+06 2.50E+06

Rati

oo

fm

eta

bo

lite

tota

xad

ien

ea

ccu

mla

tio

n

Taxadiene accumlation

Science, 330: 70-74 (2010).

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MIT in Japan

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Engineering Laboratory

Fermentation of taxadiene producing strain

AP2T7TG

• Taxadiene production: ~1,700 mg/L

Science, 330: 70-74 (2010)

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

2- synthase 8 – hydroxylase 5 – transferase

2- oxidase 1 - Aminomutase 1 - Co-ligase

19- enzymes from IPP and DMAPP

E coli isoprenoid pathway

Taxol pathway

Engineering Taxol biosynthetic pathway in E. coli

– most challenging and complex chemistry in natural products

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MIT in Japan

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Engineering Laboratory

Next Step: Taxadiene to Taxa-4(20),11,12-dien-5a-ol

Engineering P450 hydroxylases towards the biosynthesis of taxol

The N-terminal of the P450 and P450 reductases truncated and constructed fusion protein with linker for optimal expression in E coli

GST

A

B

C

D

E

F

mammalian-derived leader sequence,

MALLLLAVF, the eight-residue mammalian peptide derived from the N-terminal region of the bovine 17a hydroxylase

N-terminal region identified for 45 Amino

acid and 74 Amino acid truncations in Taxoid 5α-hydroxylase and Taxoid NADPH p450 reductase

GC-MS spectra of Taxa-4(20),11,12-dien-5a-ol

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Engineering Laboratory

a

0

10

20

30

40

0

10

20

30

40

50

60

70

0 20 40 60 80 100

OD

60

0n

m

Ta

xa

die

ne

5a

-OH

(mg

/L)

(mg

eq

uiv

ale

nto

fta

xa

die

ne

/L

Time (h)

c

T5αOH

H

H

Taxa-4(5),11(12)-diene

H

H

O

O

ONH

O

O HOH

OHO

O

O

H

O

O

OO

Taxol

OH

Taxa-4(20),11(12)-dien-5α -ol

OH

b

d

1

2

3

Predicted 42AA TM region in T5aOH

Predicted 74AA TM region in TCPR

One amino acid substituted bovine 17a hydroxylase

N-terminal 8 residue peptide MALLLAVF fused with

8, 24 and 42AA truncated from the TM region in T5aOH

GSTGS peptide linker between TM engineered

T5aOH and 74AA truncated TCPR

0

5

10

15

20

25

Ta

xa

-4(2

0),

11

,12

-die

n-5

a-o

lp

rod

uc

tio

n(m

ge

qu

iva

len

to

f

tax

ad

ien

e/L

)

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Example 3

Engineering Escherichia coli

to overproduce tyrosine

directly from glucose

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory 85

Dietary supplement

O

NH2 HO

OH

L-tyrosine L-DOPA (levodopa)

p-coumaric acid

O

NH2 HO

OH

HO

Carbidopa

O

NH-NH2 HO

OH

HO

H3C

O

HO

OH

Parkinson’s disease treatment

Specialty chemicals and polymers

Flavonoids

anti-allergic

anti-inflammatory

antimicrobial

anti-cancer

antioxidant

L-tyrosine is a valuable compound

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Aromatic amino acid biosynthetic pathway

E4P + PEP

aroF

DAHP

Shikimate

Chorismate

Prephenate pheA

tyrA

aroG,H

4-HPP

L-Trp

L-Phe

L-Tyr

Rational Design Approaches

1. Eliminate main competing reactions (pheA deletion)

2. Overexpress enzymes constituting major bottlenecks (aroG, tyrA)

3. Eliminate feedback repression of enzymes (aroGfbr, tyrAfbr)

4. Eliminate negative transcriptional regulator (TyrR deletion)

86

TyrR

AAA genes

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MIT in Japan

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Engineering Laboratory

Rational design is a good start…

Rational Design Approaches

1. Eliminate main competing reactions (pheA deletion)

3. Overexpress enzymes constituting major bottlenecks (aroG, tyrA)

4. Eliminate feedback repression of enzymes (aroGfbr, tyrAfbr) (T. Lutke)

2. Eliminate negative transcriptional regulator (TyrR)

87

Rationally-Designed Strains

… but can Inverse Metabolic Engineering get us further?

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory 88

A high-throughput screen based on melanin synthesis

Tyrosinases catalyze the conversion of L-tyrosine to melanin

Cabrera-Valladares et al., Enzyme and Microbial Technology (2006), 38, 772-779.

pTrc melAmut1

Ptrc

melA (R. etli)

L-tyrosine production can be monitored (via melanin synthesis) with a single reporter plasmid.

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory 89

Melanin synthesis on agar plates

Plates with different L-tyrosine concentrations can be easily differentiated based on the amount of melanin produced.

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory 90

Global Transcription Machinery Engineering (gTME)

RNA polymerase

rpoA – α subunit rpoD – sigma factor 70

Error-prone PCR

rpoD library size: 3.1 x 106 viable colonies

rpoA library size: 7.5 x 105 viable colonies

Transform into E. coli

rpoAWT/ rpoDWT

Parental strain: K12 ΔpheA tyrR::tyrAfbraroGfbr lacZ::tyrAfbraroGfbr

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Engineering Laboratory 91

Melanin synthesis by L-tyrosine production strains

A

B

C

D

E Strain L-tyrosine production (mg/L)

A 7

B 156

C 175

D 347

E 433

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Engineering Laboratory 92

gTME library mutants

Tyrosine production of mutants

• Isolated three strains exhibiting 77-113% increases in L-tyrosine production

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January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory 93

Mutations in rpoA and rpoD

rpoA mutations

rpoD mutations

WT

rpoD3

1.1 1.2 2 3 4

D521E

WT

rpoA14

rpoA27

N-terminal domain C-terminal domain

L281P V257F

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Engineering Laboratory 94

Phenotype requires mutant plasmid and background

Tyrosine Production of cured and/or retransformed strains

B – background P – plasmid

black uppercase – wild type red lowercase – mutant

* original isolate

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January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory 95

‘Omics approaches for strain characterization

Transcriptional analysis (microarrays)

Whole genome sequencing

Look for patterns of differential gene expression

Scan the entire genome for sequence variations

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

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Summary: strain equivalences

Original isolates (~1,000 mg/L of tyrosine) =

Mutant background + rpoA or rpoD mutant plasmids =

Mutant background + overexpression of EvgA or RelA

(regulators of AR or stringent response via ppGpp) =

Wild type E. coli harboring HisA or PurF mutations +

mutant plasmids or EvgA/RelA overexpression

(a completely genetically defined strain overproducing

tyrosine)

96

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Whole Genome Sequencing – SNP summary

97

• Histidine and purine biosynthetic pathways have two shared precursors/intermediates

• Both hisH and purF share similar enzyme functions and glutamate utilization

R: Reference, S: Substituted base pair

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Verification of SNPs

Tyrosine Production with purF and hisH mutations

98

All mutations are capable of enhancing L-tyrosine production when

combined with rpoA/rpoD expression

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Engineering Laboratory

1.5-l Fermentations in MOPS and R media

99

MO

PS

min

ima

l m

ediu

m

R m

ediu

m

Trade-off between yields and maximum

productivities/titers

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IV. What is in the future?

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Future applications drivers

Sustained interest in utilization of renewable

resources

Pressure on commodities will continue

Climate change concerns will persist

Biotechnology is better than chemistry in

utilizing carbohydrates

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Future applications drivers

New technology push:

Chemical synthesis of heterologous genes

Increased appreciation of systemic

approaches to pathway engineering (mind-

frame of Systems Biology)

Increased experimentation with pathway

construction harboring random DNA

combinations (Synthetic DNA)

Inverse Metabolic Engineering

Development of High-Throughput screens

for chemicals production

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Future directions of ME-1

Expand portfolio with numerous new applications:

Expansion to the core of the chemical industry

at oil prices greater than $100/bbl (xylenes,

terpenes, isoprene, butadiene,…)

Best technology for specialty chemicals

(specific oxidations, acylations, amidations,

stereo-specific compounds, API’s, …)

Tremendous diversity of new products

(isoprenoid pathway, glycosylated

compounds,

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January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Future directions of ME-2

Providing platform

for discovery and production

of new therapeutics

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MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Acknowledgements

Page 106: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

Page 107: MIT in Japan 15th Annual Symposium for Japaneseilp.mit.edu/images/conferences/2013/japan/presentations/stephanopoulos.pdf · G. Stephanopoulos January 25, 2013 Bioinformatics and

MIT in Japan

January 25, 2013 G. Stephanopoulos Bioinformatics and Metabolic

Engineering Laboratory

The end

Questions?