Smart biomass for future materials · 2020. 11. 11. · Bark Phloem Kambium Xylem Hertzberg et al....

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Smart biomass for futurematerials

Rishi Bhalerao

SLU/Umeå Plant Science Center

We have great challenges ahead of us!

• Population growth

• Climate change

• Conversion from non-renewable

fossil fuels/materials to renewable bio-based ones

The Conclusion is Clear!

During the next century we have to produce more foodand biomaterials on the same or less land as today!

We need better trees!

In what way better?

Grow more on less land

Have multiple uses other than traditional one(viz, paper, pulp and timber!)

We need smart biomass!

Whats our approach

modify expression of as many(unknown) genes as possible

PLANT

GROWTH

WALL

CHEMISTRY

SACCHARIFICATIONANALYSIS OF THE LINES

IDENTIFICATION OF SUPERIOR

LINES

PRODUCTION OF TRANSGENIC Populus LINES

Field trials Breeding programs

Identify interesting genes GENE DISCOVERY

SUCROSE

1. Biomass production

Photo Hannele Tuominen

Ove Nilsson Rishi Bhalerao

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DNA microarrays PopGenIE

Bark Phloem Kambium Xylem

Hertzberg et al. PNAS 2001Schrader et al. Plant Cell 2004 Sjödin et al. New Phytologist 2009

The

app

roac

h

Gene Discovery

=> 2000 genes expressed specifically in the xylem forming tissues

Functional characterisation of ~1000 genes by genetic engineering of the model tree species Populus tremula x tremuloides-done by SweTree Technologies

Production of transgenic Populus lines

Photos Hannele Tuominen

The

app

roac

h

1. Populus tremula x tremuloides T89 hybrid aspen2. Populus tremula x tremuloides local clones3. Populus tremula4. Populus trichocarpa

1. Greenhouse grown trees2. Natural aspens

SwAsp 112 and UmAsp 350 collectionsCloned, in orchards, in Umeå (and in Ekebo/Sweasp)

3. Hybrid aspen grown in field trials18 genes modified, in two locations in southern Sweden, 2010, 2011, 2013

The feedstocks

Hei

ght

of

the

tree

s (%

co

ntr

ol)

0

20

40

60

80

100

120

140

Biomass production

Res

ult

s Ex

p1

Wood-a source for biorefinery

• Change cellulose cristallinity– effects

on bioprocessing

• Modified cellulose for more efficient

production of nanocellulose

• Better separation of xylan from lignin

and cellulose

• Lignin levels/polymerisation – effects

on bioprocessing

• Modification of wood density

S3

S1

PM

S2

CML

Before lignification

rosette

After lignification

MF

xyloglucan

cellulosa

pectin

xylan

lignin

mannan

Ewa Mellerowicz

Source Chris Somerville

Cellulose

➢The amount➢Cellulose crystallinity➢Degree of polymerisation

Totte Niittylä

Identify and genetically improve the best trees for

nanocellulose production

Tree Woodfibre

Cellulosemicrofibril

CellulosenanofibresW: <100nm

L: > m

Cellulosenanocrystals

W: <5nmL: <300nm

Nanocellulosic materials:+ Stronger than steel and stiffer than Kevlar+ Potentially a cheaper alternative to glass and carbon fiber+ Safe and green alternative for petrol based plastics

One of the biggest challenges in nanocellulose production is related to the efficient separation of cellulose fibrils from the raw material.

Tunnare cellulosa fibriller i invertase modifierade asp

Rende et al. 2017

XylanGlucuronoxylan

Source: Scheller and Ulvskov 2010. Annu. Rev.Plant Biol

➢The amount➢Chain length➢ acetylation➢ Linkages to lignin

Ewa Mellerowicz

Improving xylan for biorefinery

Ewa Mellerowicz

Xylan – second most abundant biopolymer

Poplar wood

xylan

other

lignin

cellulose

Miscanthus (grass)

xylan

glucan

lignin

cellulose

UPSC

Custom-tailoring xylan using fungal enzymes from wood degrading fungi

Held et al 2006 Wood degradation by soft rot fungi

UPSC

Custom-tailoring xylan using fungal enzymes from wood degrading fungi

Held et al 2006 Wood degradation by soft rot fungi

UPSC

Trimming xylan with different enzymes

O

OH

OH

O

O

OH

OH

CH3-O

OH

O

OOH

OH

O

O O

OH

O

O

OH

OH

O

O O

OH

O

O

OH

OH

O

H3COOH

OH

CO

H3COOH

OH

COOH

O

O

OAcOAc

OAc

OLIGNIN

OAcOAc

Glucuronoyl esterase, CE15

Acetyl xylanesteraseCE1, CE5

a-glucuronidaseGH67, GH115Xylanase

GH10,GH11

UPSC

Example 1: Xylan deacetylation by CE1 improvessaccharification and ethanol yield

0

20

40

60

80

100

Hot water Acid Alkali

Su

ga

r p

rod

uc

tio

n r

ate

(n

mo

lm

g-1

h-1

) WT A B C D

+1

4%

+1

3%

+1

9%

+1

0%

+1

8%

+7

%

+11

%

+1

9%

P ≤ 0.0006 P ≤ 0.2

P ≤ 0.001

+1

8%

** ** ** **

**

****

** ** **

Pawar et al., Plant Biotechn J 2016

UPSC

Hot water AlkaliAcid

Sugar production rate

0

0,4

0,8

1,2

1,6

0 5 10 15 20

Eth

anol (g

L-1

)

days

PD vs WT ≤ 0.0001

Ethanol yield

+70%

Altered cell wall architecture !

+10%

+16%

+8%

Trimming xylan with different enzymes

O

OH

OH

O

O

OH

OH

CH3-O

OH

O

OOH

OH

O

O O

OH

O

O

OH

OH

O

O O

OH

O

O

OH

OH

O

H3COOH

OH

CO

H3COOH

OH

COOH

O

O

OAcOAc

OAc

OLIGNIN

OAcOAc

Glucuronoyl esterase, CE15

Acetyl xylanesteraseCE1, CE5

a-glucuronidaseGH67, GH115Xylanase

GH10,GH11

UPSC

Example 2: CE15 decreases Glc conversionwithout pretreatment... but increases it after acid pretreatment

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

Lin

e 4

Lin

e 1

0

L

ine 2

1

Lin

e 2

2

Lin

e 2

3

WT

Lin

e 4

Lin

e 1

0

Lin

e 2

1

Lin

e 2

2

Lin

e 2

3

WT

Glc

/ C

ellu

lose

[g g

-1]

PcGCE overexpressors CE15 overexpressors

without pretreatment with acid pretreatment

Glucose yields in g per g of cellulose in hydrolysates

-30%

+12%

Gandla et al., 2015, Phytochemistry

+12%

UPSC

Reduced lignin

cross-linking!

Lab conditions are fine, but whathappens under natural conditions?

Starting year Number of genes

2010 16

2011 13

2011 7

2012 7

2013 22

2014 10

2016 9

2016 13

Total 965-years-old hybrid aspen field (B-2011) in Våxtorp collected

in July 2016.

Courtesy of Ewa Mellerowicz

Fältförsök med genetisk modifierade hybridaspar

Lignin

Source: Vanholme R et al. Plant Physiol. 2010;153:895-905

Hannele Tuominen

➢Total content➢Degree of polymerisation➢ composition

The approach

modify expression of as many(unknown) genes as possible

PLANT

GROWTH

WALL

CHEMISTRY

SACCHARIFICATIONANALYSIS OF THE LINES

IDENTIFICATION OF SUPERIOR

LINES

PRODUCTION OF TRANSGENIC Populus LINES

Field trials Breeding programs

Identify interesting genes GENE DISCOVERY

FT-I

R s

core

0

2

4

6

8

10

12

14

16

18

20

wood chemistry – FT-IR

Res

ult

s Ex

p1

Saccharification potential

0

20

40

60

80

100

120

140

160

180

Suga

r yi

eld

(%

of

wild

typ

e)

In collaboration with Leonardo Gomez and Simon McQueen-Mason, York University, UK

Hei

ght

of

the

tree

s (%

co

ntr

ol)

0

20

40

60

80

100

120

140

Biomass production

Res

ult

s Ex

p1

Oil production by metabolic engineering in woody biomass

Which plants are largest producer of oils in Sweden?

Can trees be used as production systems for oil?

Right answer: Pine and spruce (tall oil)

350 00 ton of fatty acids/year

Compare with rape =100 000 ton oil

T89: 0 w phloem, cambium, xylem

T89: 10 w phloem, cambium, xylem

Does SD signal influence lipid accumulation?

What is the molecular mechanism underlying lipid accumulation?

Blocking SD perception blocks lipid accumulation

0

5

10

15

20

25

30

35

40

45

50

0w T89 6w T89 10w T89 0w FT 6w FT 10w FT

nm

ol/

mg

FWtotal lipid

Downregulation of single gene can increase oil content 20%

Blocking hormonal responses can increase oil content 30%

Conclusions

• We can increase biomass

• We can manipulate biomass for:

• Ethanol

• Cellulose chemistry

• Oil

Umeå Plant Science Centre

>200 researchers of 45 nationalities

One of the strongest research centers in Europe for

experimental plant research and plant biotechnology.

Increasing oil content in salix to 10% would yield 1.5 ton of oil/ha and year in energy forests.

Fatty acids

Extractives from wood

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