Oat Metabolism - Genetic and environmental drivers and future enhancement targets Derek Stewart Enhancing Crop Productivity and Utilisation Theme
Oat Metabolism - Genetic and environmental drivers and
future enhancement targets
Derek StewartEnhancing Crop Productivity and Utilisation Theme
Population of 8.3 billion by 2030 (UN)
Food 50% increase in demand.
33% lost in the supply chain
Energy50% increase in
demand (EIA)
Freshwater30% increase in
demand (FAO)
Land120 million ha needed in
developing countries crop production (FAO)
Global Challenges (UN and FAO)
33% farm land degraded
75 % of crop genetic diversity
Severity
• Excellent beneficial health and wellness halo with consumers.
• Good overall nutritional value c.f. competing crops.
Can oats deliver solutions to hunger, obesity and human health?
Nutrient Oatmeal (100g)Wholemeal wheat
flour (100g)Oatmeal (40g)
Wholemeal wheat
flour (40g)
Energy (kcal) 401 310 160 124
Protein (g) 12.4 12.7 5.0 5.1
Oil (g) 8.7 2.2 3.5 0.9
Carbohydrate (g) 72.8 63.9 29.1 25.6
Dietary fibre (g) 6.8 9.0 2.7 3.6
Potassium (mg) 370 340 148 136
Calcium (mg) 55 38 22 15
Magnesium (mg) 110 120 44 48
Phosphorus (mg) 380 320 152 128
Iron (mg) 4.1 3.9 1.6 1.6
Copper (mg) 0.23 0.45 0.09 0.18
Zinc (mg) 3.3 2.9 1.3 1.2
Selenium* (mg) ++ + ++ +
Vitamin E (mg) 1.7 1.4 0.7 0.6
Thiamin (mg) 0.50 0.47 0.20 0.19
Riboflavin (mg) 0.10 0.09 0.04 0.036
Niacin (mg) 3.8 8.2 1.5 3.3
Vitamin B6 (mg) 0.12 0.50 0.05 0.2
Folic Acid (mg) 60 57 24 23
• Excellent beneficial health and wellness halo withconsumers.
• Good overall nutritional value c.f. competing crops.• Is a global crop, predominantly in the Northern
hemisphere.
Can oats deliver solutions to hunger, obesity and human health?
Food and Agriculture Organization of the United Nations (2014) FAOSTAT. http://faostat.fao.org/ (accessed April 2014).
• Excellent beneficial health and wellness halo withconsumers
• Good overall nutritional value c.f. competing crops.• Is a global crop, predominantly in the Northern
hemisphere.• Development and crop quality is susceptible to
environment cues.
Can oats deliver solutions to hunger, obesity and human health?
Component Environmental
factor
Impact
b-Glucan – Total Temperature Generally higher levels in warm, dry climates
Precipitation Moderate rain increased total content. Supraoptimal precipitation yields lower total contents
Fertiliser Total b-glucan is optimised by eliminating supraoptimal applied N
b-Glucan
polydispersity
Temperature Elevated growing season temperature yields higher MWt b-glucan
Precipitation Reduced the average MWt
Fertiliser Optimising N increases total b-glucan which is correlated with higher MWt b-glucan
Starch Temperature Combined as environment – Impact upon starch content, Rapid Visco Analyser TM pasting
viscosities, starch swelling volume and differential scanning calorimetry thermal propertiesPrecipitation
Fertiliser Cultivar dependent response to N levels: Optimising N for yield can reduce starch content
Protein Precipitation Increasing soils salinity reduced grain protein.
General increase in dry conditions
Fertiliser Total protein is optimised by eliminating supraoptimal applied N. Protein amino-acid
compositional response noted between naked and husked oats in response to increasing N
Oil Fertiliser Generally a reduction in total oil content with increasing added N. Conflicting reports on
compositional changes; small but significant increases in palmitic (16:0) and linoleic (18:2)
but decreases in oleic (18:1) fatty acids with increasing N
Phytochemicals Temperature Avenanthramides - Content is under environmental influence but poorly defined
Precipitation
Fertiliser The addition of phosphorus sources can increase the antinutrient phytic acid
The influence of environment factors on oat quality
• Excellent beneficial health and wellness halo withconsumers.
• Good overall nutritional value c.f. competing crops.• Is a global crop, predominantly in the Northern
hemisphere.• Development and crop quality is susceptible to
environment cues.• Post-harvest can have many steps that will impact
on quality.
Can oats deliver solutions to hunger, obesity and human health?
Clean and Graded
Dehull
Heat
Dry
Cut/Flake/Grind
Decease rancidityDevelop flavour
Minimise microbial spoilage
Decrease cooking time
Cut/Flake/Grind
Non-digestible Seed
Environment
Agronomic variables
Soil
VarietyPathogen controlFertiliser
Porridge Further processed foods:Ready-to-eat breakfast cereals, baked goods, snack bars, beer
Genetics
The oat supply andprocessing chain
Targeted analysisGravimetric, flavour & aroma taste texture, disease resistance, bioactivity, etc etc.
Untargeted analysis: Metabolic profiling
LC-MS GC-MS
RT: 0.00 - 20.00
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Tim e (m in)
0
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
220000
240000
260000
280000
300000
320000
340000
360000
380000
400000
420000
440000
460000
480000
500000
520000
540000
560000
580000
600000
620000
640000
660000
680000
700000
uAU
8.26
8.01
6.05
5.62
12.11
12.3213.26
10.888.75
9.68
13.967.3114.26 19.6418.76
15.42 17.95
2.34 2.481.94 4.341.50
NL:
7.11E5
Total Scan
PDA
NORTHBE
RRY
256_03082
0144520
NORTHBERRY 256_030820144520 #552-580 RT: 8.43-8.86 AV: 16 NL: 8.03E6
T: - c APCI Full m s [ 80.00-800.00]
100 150 200 250 300 350 400 450 500 550 600 650 700 750 800
m /z
0
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Rela
tive
Abun
danc
e
191.2
353.0
398.6
236.8
354.1
192.2161.3
355.1 399.7207.0135.3 466.9
85.2 397.3237.8 706.9400.6335.2 436.8 502.0 544.9301.1 578.3 718.1668.1642.7 783.2
Chromatogram
Mass spectrum
NORTHBERRY 256_030820144520 #552-580 RT: 8.43-8.86 AV: 16 NL: 8.03E6
T: - c APCI Full m s [ 80.00-800.00]
100 150 200 250 300 350 400 450 500 550 600 650 700 750 800
m /z
0
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Rela
tive
Abun
danc
e
191.2
353.0
398.6
236.8
354.1
192.2161.3
355.1 399.7207.0135.3 466.9
85.2 397.3237.8 706.9400.6335.2 436.8 502.0 544.9301.1 578.3 718.1668.1642.7 783.2
Direct Infusion MS
Principal component analysis of MS data
Hierarchical cluster analysis:Measure of (phytochemical) biodiversity
Correlation Network:Interrelate metabolite changes. Pathway cross talk
Compounds 1-500
Co
mp
ou
nd
s 1
-50
0
(102-103 compounds)
SolFi x HiFi population
Year 2009 Year 2008
1 2 3 4Replicates
(96 progenies + 2 parents + 9 controls) per replicate
• β-glucan• Oil • Protein• Polar metabolite
profile• Non-Polar
metabolite profile
• β-glucan• Oil • Protein• Polar metabolite
profile• Non-Polar
metabolite profile
• β-glucan• Oil • Protein• Polar metabolite
profile• Non-Polar
metabolite profile
• β-glucan• Oil • Protein• Polar metabolite
profile• Non-Polar
metabolite profile
What can metabolite analysis tell us? Genetics.
SolFi x HiFi mapping population
PCA (Principal Component Analysis) of allpolar metabolites from Solfi x HiFi population(milled samples), coloured by year (:2008; :2009). Components 1 and 2 explain up to 48%and 8% of the variation, respectively.
PCA (Principal component Analysis) of all
non-polar metabolites from Solfi x HiFi
population (milled samples), coloured by year
(:2008; : 2009). Components 1 and 2
explain up to 20% and 10% of the variation,
respectively.
Based on 69 polar metabolites and 55 non-polar metabolites
2008
20082009
2009
B_Glu_NIR
NO
N-P
OLA
RP
OLA
R
B_Glucan_M
N_NIR
Protein_NIR
Oil_NIR
SolFi x HiFi mapping population: steps towards a metabolic network
br-Even C- sat
Fatt
y A
cid
sbr-Even C- unsat
Even C - sat
Even C - unsat
Odd C- sat
Odd C-unsat
Phytosterol
polyphenol
amide
amine
amino acid
organic acid
phosphate derivative
sugar
sugar alcohol
unknown
-1
-0.9
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
• Correlation matrix of all metabolites from year 2008.
• This is iteratively generated as new data is generated, e.g. another year, site etc
Correlation Analysis – Correlation Analysis has been performed on all data. Highlighted in blue are all values with a negative correlation of better than -0.65, highlighted in red are all positive correlations of better than +0.65.
Oil
con
ten
t (%
)
14:0
16:0
16:1
17:0
17:1
18:0
18:1
(n-9
)
18:1
(n-7
)
18:2
(n-6
)
18:3
(n-3
)
20:0
20:1
20:2
(n-6
)
22:0
24:0
24:1
Oil content (%) -0.64 -0.86 0.16 0.26 0.68 0.43 0.79 0.15 -0.93 -0.65 0.77 0.68 -0.56 0.11 0.81 -0.55
14:0 -0.64 0.69 0.24 -0.21 -0.69 -0.11 -0.77 0.3 0.52 0.18 -0.36 -0.65 0.54 0.04 -0.49 0.43
16:0 -0.86 0.69 -0.07 -0.23 -0.53 -0.29 -0.61 0.06 0.83 0.63 -0.63 -0.49 0.4 -0.2 -0.67 0.39
16:1 0.16 0.24 -0.07 -0.4 -0.3 -0.18 -0.16 0.79 -0.15 0.11 -0.09 0.11 0.3 0.27 0.02 -0.13
17:0 0.26 -0.21 -0.23 -0.4 0.64 0.74 0.43 -0.48 -0.32 -0.23 0.71 0.07 -0.23 -0.1 0.43 -0.09
17:1 0.68 -0.69 -0.53 -0.3 0.64 0.68 0.87 -0.32 -0.67 -0.36 0.77 0.58 -0.48 0.09 0.8 -0.63
18:0 0.43 -0.11 -0.29 -0.18 0.74 0.68 0.45 -0.3 -0.53 -0.46 0.82 0.07 -0.15 0.33 0.68 -0.53
18:1(n-9) 0.79 -0.77 -0.61 -0.16 0.43 0.87 0.45 -0.04 -0.65 -0.32 0.71 0.83 -0.56 -0.14 0.74 -0.63
18:1(n-7) 0.15 0.3 0.06 0.79 -0.48 -0.32 -0.3 -0.04 -0.06 0.01 -0.07 0.24 0.1 -0.07 -0.03 -0.04
18:2(n-6) -0.93 0.52 0.83 -0.15 -0.32 -0.67 -0.53 -0.65 -0.06 0.74 -0.76 -0.43 0.56 -0.3 -0.82 0.51
18:3(n-3) -0.65 0.18 0.63 0.11 -0.23 -0.36 -0.46 -0.32 0.01 0.74 -0.63 -0.05 0.57 -0.11 -0.6 0.23
20:0 0.77 -0.36 -0.63 -0.09 0.71 0.77 0.82 0.71 -0.07 -0.76 -0.63 0.43 -0.41 0.04 0.82 -0.46
20:1 0.68 -0.65 -0.49 0.11 0.07 0.58 0.07 0.83 0.24 -0.43 -0.05 0.43 -0.27 -0.22 0.51 -0.51
20:2(n-6) -0.56 0.54 0.4 0.3 -0.23 -0.48 -0.15 -0.56 0.1 0.56 0.57 -0.41 -0.27 0.32 -0.38 0.08
22:0 0.11 0.04 -0.2 0.27 -0.1 0.09 0.33 -0.14 -0.07 -0.3 -0.11 0.04 -0.22 0.32 0.21 -0.52
24:0 0.81 -0.49 -0.67 0.02 0.43 0.8 0.68 0.74 -0.03 -0.82 -0.6 0.82 0.51 -0.38 0.21 -0.69
24:1 -0.55 0.43 0.39 -0.13 -0.09 -0.63 -0.53 -0.63 -0.04 0.51 0.23 -0.46 -0.51 0.08 -0.52 -0.69
Oat metabolic networks: a compound class focus
1.0
0.8
0.6
0.4
0.2
0.0
420-2-4-6
1.4
1.2
1.0
0.8
0.6
8
7
6
5
340
320
300
280
260
260
400
380
360
340
320
300
280
C18
_3
n3
C
20_
0
scr[1]
C
24_
0
C18
_1
n9
C18
_2
n6
17
16
15
14
13
12
11
10
420-2-4-6
0.275
0.250
0.225
0.200
0.175
0.150
0.125
0.100
135
130
125
120
115
110
1.4
1.3
1.2
1.1
1.0
0.9
0.8
0.7
6
14
13
12
11
10
9
8
7
C16
_0
C17
_1
scr[1]
C18
_0
Oil_
con
tent_
%
C14
_0
Coloured by low or high oil content
• Score 1 describes the % oilcontent.
• Increasing oil contents does notenhance all of the constituent FAs.
• Inverse relationship between totaloil and linoleic acid (C18:2n6) andto a lesser, α-Linolenic (C18:3n3)
Total Oil Content
What can metabolite analysis tell us?
Gerald
Tardis
Mascani
Balado
Elm farm400 plants/m 2
Rosemaund100 and 300 plants/m 2
0 and 120kg N/ha
Bidney300 plants/m 2
120kg N/haGrown at 3 locations
Aim: Study the effect of the interaction between Genetic and Environment (GxE) using different analytical methods.
4 oat varieties:
What can metabolite analysis tell us? GxE study
-7
-6
-5
-4
-3
-2
-1
0
1
2
3
4
5
-8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8
t[2]
t[1]
OPLS Polar data_Sus.M7 (OPLS/O2PLS-DA), OPLS class site
t[Comp. 1]/t[Comp. 2]
Colored according to Obs ID (Site)
R2X[1] = 0.154568 R2X[2] = 0.0550955
Ellipse: Hotelling T2 (0.95)
Bidney
Elm farm
Rosemaund
SIMCA-P+ 12 - 2012-11-20 15:34:05 (UTC+0)
Polar metabolites (GC-MS)
What can metabolite analysis tell us? GxE study
OPLS (Orthogonal Partial Least Square) ofall polar metabolites from samples for G x Estudy (milled samples), coloured by site(:Bidney; : Elm Farm; Rosemaund ).Components 1 and 2 explain up to 15% and5% of the variation, respectively.
OPLS of all phenolic compounds detected by LC-MS
from oat samples (milled samples), coloured by site
(:Bidney; : Elm Farm; Rosemaund).
Components 1 and 2 explain up to 39% and 9% of
the variation, respectively.
-3.0
-2.5
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
-7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7
t[2]
t[1]
GxE_Free_all arear.M7 (OPLS/O2PLS-DA), class Location
t[Comp. 1]/t[Comp. 2]
Colored according to classes in M7
R2X[1] = 0.39842 R2X[2] = 0.0858012
Ellipse: Hotelling T2 (0.95)
Bidney
Elm farm
Rosemaund
SIMCA-P+ 12 - 2013-03-12 15:50:52 (UTC+0)
-5
-4
-3
-2
-1
0
1
2
3
4
5
-9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9
t[2]
t[1]
GxE_Free_all arear.M11 (PCA-X)
t[Comp. 1]/t[Comp. 2]
Colored according to Obs ID (Variety)
R2X[1] = 0.500883 R2X[2] = 0.177027
Ellipse: Hotelling T2 (0.95)
Balado
Gerald
Mascani
Tardis
SIMCA-P+ 12 - 2013-03-15 11:12:04 (UTC+0)
-6
-5
-4
-3
-2
-1
0
1
2
3
4
5
6
-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10
t[2]
t[1]
GxE_Free_all arear.M9 (PCA-X)
t[Comp. 1]/t[Comp. 2]
Colored according to Obs ID (Variety)
R2X[1] = 0.590969 R2X[2] = 0.193218
Ellipse: Hotelling T2 (0.95)
Balado
Gerald
Mascani
Tardis
SIMCA-P+ 12 - 2013-03-15 11:10:15 (UTC+0)
-6
-5
-4
-3
-2
-1
0
1
2
3
4
5
6
7
-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10
t[2]
t[1]
GxE_Free_all arear.M10 (PCA-X), Elm fram
t[Comp. 1]/t[Comp. 2]
Colored according to Obs ID (Variety)
R2X[1] = 0.516363 R2X[2] = 0.192808
Ellipse: Hotelling T2 (0.95)
Balado
Gerald
Mascani
Tardis
SIMCA-P+ 12 - 2013-03-15 11:11:12 (UTC+0)
p_coumaric_acid
d
a
abab
e
a
bcd
abc
cd
a
abc abc
35000000
30000000
25000000
20000000
15000000
10000000
5000000
0
Rose
maun
d T
ard
is
Rose
maun
d M
asc
ani
Rose
maun
d G
era
ld
0
5000000
10000000
15000000
20000000
25000000
30000000
35000000
Rose
maun
d B
ala
do
Elm
far
m T
ardis
Elm
far
m M
ascan
i
Elm
far
m G
erald
Elm
far
m B
alad
o
Bid
ney
Tar
dis
Bid
ney
Mas
cani
Bid
ney
Ger
ald
Bid
ney
Bal
ado
p-coumaric acid%2F
d
a
bc
b
g
c
f
e
c
a
bc bc
800000000
700000000
600000000
500000000
400000000
300000000
200000000
100000000
0
Rosem
aund T
ard
is
Rosem
aund M
ascani
Rosem
aund G
era
ld
0
100000000
200000000
300000000
400000000
500000000
600000000
700000000
800000000
Rosem
aund B
ala
do
Elm
farm
Tard
is
Elm
farm
Mascani
Elm
farm
Gera
ld
Elm
farm
Bala
do
Bid
ney T
ard
is
Bid
ney M
ascani
Bid
ney G
era
ld
Bid
ney B
ala
do
Ave. 2F
• Location and cultivar cause separation between oat samples.
• Elm farm (organic) has generally higher levels of phenolic compounds. (Stress?)
• The variety Balado at Elm farm is significantly different from the other varieties in each sites.
What can metabolite analysis tell us? GxE studyPhenolics by LC-MS- Free phenolic compounds
Varieties pull apart within a site
Metabolite analysis: What next?
• We have developed tentative networks but these need to get better?
New Oats
Develop detailed metabolic networks
Metabolite analysis: What next?
• We have developed tentative networks but these need to get better?
• Better understand oat product transitions.
Aroma Appearance Texture Flavour Aftertaste
Butane -0.87077 -0.48732 -0.7048 -0.88722 -0.80577
Isobutane -0.81421 -0.31466 -0.74577 -0.84488 -0.8003
2butene (Z) -0.82794 -0.23908 -0.67035 -0.83162 -0.81356
2butene_e -0.82577 -0.23094 -0.66297 -0.82761 -0.81129
Acetaldehyde -0.84856 -0.21707 -0.5809 -0.82311 -0.82861
Furan -0.8461 -0.20659 -0.57579 -0.81967 -0.82973
2-me-butanal -0.80801 -0.21839 -0.66982 -0.81524 -0.80403
Ethanol -0.82309 -0.20003 -0.60297 -0.80722 -0.80853
Pentane -0.85215 -0.43004 -0.45761 -0.80603 -0.80532
2-methyl-propanal -0.79396 -0.21162 -0.66989 -0.80368 -0.79052
3-me-butanal -0.77055 -0.25763 -0.71935 -0.80117 -0.77491
2-me-furan -0.83034 -0.16835 -0.51645 -0.79013 -0.81637
2-propanol -0.82323 -0.1431 -0.52329 -0.78494 -0.81234
2,5-dimethylpyrazine -0.75809 -0.21312 -0.69267 -0.78211 -0.758
Dimethylsulfide -0.76972 -0.17084 -0.6488 -0.77582 -0.76923
2-methyl-pentane -0.78275 -0.06366 -0.56925 -0.76339 -0.79494
2,3-pentanedione -0.80138 -0.13992 -0.47705 -0.75501 -0.78514
2-heptenal -0.81541 -0.03278 -0.37721 -0.73739 -0.80064
3-methyl-pentane -0.77789 -0.01523 -0.47484 -0.73287 -0.78342
Propanal -0.75747 -0.15934 -0.53992 -0.73162 -0.70692
Benzaldehyde -0.77915 -0.13151 -0.39249 -0.71554 -0.76409
1-pentene -0.65727 -0.33919 -0.53006 -0.66266 -0.60435
2-butanone -0.70529 0.019455 -0.40955 -0.65712 -0.70921
Cyclohexane -0.73469 0.135203 -0.25237 -0.63893 -0.7245
Nonanal -0.70794 -0.01148 -0.30678 -0.63274 -0.69793
Decanal -0.64667 0.053353 -0.14206 -0.5431 -0.6217
2-ethyl-1-hexanol -0.6525 0.124793 -0.12599 -0.54055 -0.63313
Methylcylopentane -0.42676 -0.43306 -0.685 -0.52435 -0.41159
2-ethylfuran -0.47745 0.074261 -0.34933 -0.45356 -0.48186
2-phenoxyethanol -0.50071 -0.12105 -0.19369 -0.44475 -0.51883
Octanal -0.50571 0.100719 -0.20989 -0.43846 -0.50358
Furfural -0.28217 -0.21006 -0.57715 -0.36857 -0.30051
N-heptanal -0.31404 0.154227 -0.21918 -0.28593 -0.32799
2-pentanone -0.33853 0.610957 0.115749 -0.20459 -0.30839
Decane -0.21144 0.419747 0.03323 -0.14994 -0.27951
2-methyl-1-propanol -0.19512 0.573536 0.296828 -0.06229 -0.19815
1-butanol 0.062077 0.342595 -0.07782 0.047606 0.051164
1-octen-3-ol 0.276526 0.30428 -0.009 0.227399 0.238078
2-pentylfuran 0.245701 0.633736 0.214113 0.286345 0.22693
2-hexenal 0.25195 0.336359 0.686106 0.392054 0.292284
Nonane 0.553581 0.226332 0.281227 0.511284 0.454221
2-butanone Oxime 0.516507 0.632751 0.476895 0.545443 0.439692
Hexane 0.571937 0.567767 0.526091 0.623368 0.654522
Hexanone 0.687503 0.672367 0.627055 0.744117 0.697277
1-pentanol 0.883915 0.307243 0.553365 0.84647 0.86294
Cyclohexanone 0.89406 0.346877 0.544089 0.854194 0.831197
Hexanal 0.912439 0.338775 0.546466 0.869951 0.870455
2-octenal 0.868254 0.382868 0.635105 0.874182 0.886478
Butanal 0.884166 0.503847 0.581997 0.876629 0.864767
Pentanal 0.942653 0.298242 0.528979 0.889381 0.903074
Octane 0.871486 0.660183 0.706723 0.903242 0.856633
Heptane 0.890204 0.642571 0.700673 0.916327 0.875143
2-heptanone 0.917018 0.608022 0.728484 0.944439 0.916109
2-propylfuran 0.914605 0.599872 0.768842 0.949026 0.928666
2-butyl-furan 0.918878 0.649713 0.78891 0.959588 0.914224
Analysis of quality and shelf-life of products developed from selected oat lines
Correlation analysis of sensory parameters and volatile compounds from ‘Firth’ and ‘Gerald’ oatcakes.
Volatiles associated with freshness of oatcakes
Volatiles associated with rancidity of oatcakes
Can we use an oat volatile GC-MS database to guide product development?
• Linoleic acid and oleic acid are the major fatty acids in both oat varieties.
• Modifying oat fatty acid composition focusing on these two fatty acids could resultin a lower presence of volatiles responsible for the perception of rancidity in oatbased products.
• But remember the relationship between Linoleic acid and total oil content: inverse.
Analysis of quality and shelf-life of products developedfrom selected oat lines
Volatiles Aroma Appearance Texture Flavour Aftertaste
hexanone
1-pentanol
cyclohexanone
Hexanal
2-octenal
Butanal
pentanal
Octane
Heptane
2-heptanone
2-propylfuran
2-Butyl-furan
0.40 0.00
SUNFLOWER OIL (% fatty acids) 0.00 79.80 0.00 11.30 0.20 0.00 0.00
PALM OIL (% fatty acids) 0.00 36.60 0.00 9.10 0.30
0.92 0.73
GERALD (% fatty acids) 0.15 40.33 0.77 38.61 0.86 0.91 0.98
FIRTH (% fatty acids) 0.20 35.42 0.90 41.82 1.33
C24:1
Palmitoleic acid Oleic acid Vaccenic acid Linoleic acid α-linolenic acid Eicosanoic acid Tetracosenoic acid
C16:1 C18:1 (n-9) C18:1 (n-7) C18:2 C18:3 C20:1
Metabolite analysis: What next?
• We have developed tentative networks but these need to get better?
• Better understand oat product transitions.• Manipulate larger targets in combination with the emergent
genomic tools.
Ascorbic Acid
Organic Acids
Sugars
Anthocyanins
Other Polyphenols
Growth Colour development and softening
Ripening
Amino Acids
Fatty Acids
0.00
0.05
0.10
0.15
0.20
0.25
Dry
We
igh
t g
fru
it
Ascorbic Acid
Organic Acids
Sugars
Anthocyanins
Other Polyphenols
Growth Colour development and softening
Ripening
Amino Acids
Fatty Acids
0.00
0.05
0.10
0.15
0.20
0.25
Dry
We
igh
t g
fru
it
Grain Developmentand filling
Development
b-glucan
Protein
Metabolite Complement
OATS - Horizon Scanning
Nutritive and Health beneficial value manipulationNutrition• Unsaturated Fatty acid content and composition (health vs supply chain
sustainability). Biodiversity is there (to a degree). Develop genetic markers for targeted and selective enhancement?
• Free amino acid content and composition?
Health beneficial• Avenanthramides – In product antioxidant, anti inflammatory etc.• b-glucan
• Increase the content – limits (crop/processing/palatability). Use the barley sequence data? Develop genetic markers for targeted and selective enhancement; what is the target?
• Molecular weight: Efficacy MWt. • Keep the b-glucan content the same but shift the average/mean MWt: same effect or
better? • What about b-glucan shape (1-3/1-4 ratios) and efficacy? • Computer model b-glucan for best functionality and feed back to the breeding
programme along with glucan synthesis marker development. Tailored glucan?
OATS - Horizon Scanning
Adopt and exploit the advances in barley b-glucan research
Phylogenetic tree of the barley Csl super family
Genetic map of barleychromosomes 1H, 2H,5H, and 7H showingthe positions of barleyHvCslF genes asmapped in a ‘Morex’ בBarke’ population
Tissue specific expression data of the HvCslFgenes based on RNA-sequence data
OATS - Horizon Scanning
Nutritive and Health beneficial value manipulationNutrition• Unsaturated Fatty acid content and composition (health vs supply chain
sustainability). Biodiversity is there (to a degree). Develop genetic markers for targeted and selective enhancement?
• Free amino acid content and composition?
Health beneficial• Avenanthramides – In product antioxidant, anti inflammatory etc.• b-glucan
• Increase the content – limits (crop/processing/palatability). Use the barley sequence data? Develop genetic markers for targeted and selective enhancement; what is the target?
• Molecular weight: Efficacy MWt. • Keep the b-glucan content the same but shift the average/mean MWt: same effect or
better? • What about b-glucan shape (1-3/1-4 ratios) and efficacy? • Computer model b-glucan for best functionality and feed back to the breeding
programme along with glucan synthesis marker development. Tailored glucan?
OATS - Horizon Scanning
Nutritive and Health beneficial value manipulationNutrition• Unsaturated Fatty acid content and composition (health vs supply chain
sustainability). Biodiversity is there (to a degree). Develop genetic markers for targeted and selective enhancement?
• Free amino acid content and composition?
Health beneficial• Avenanthramides – In product antioxidant, anti inflammatory etc.• b-glucan
• Increase the content – limits (crop/processing/palatability). Use the barley sequence data? Develop genetic markers for targeted and selective enhancement; what is the target?
• Molecular weight: Efficacy MWt. • Keep the b-glucan content the same but shift the average/mean MWt: same effect or
better? • What about b-glucan shape (1-3/1-4 ratios) and efficacy? • Computer model b-glucan for best functionality and feed back to the breeding
programme along with glucan synthesis marker development. Tailored glucan?
Correlation between averagemolecular weight of β-glucan (×106 g mol −1 ) in four oat varietiesgrown at 11 different location × yearcombinations anda) total β-glucan content (% of dm)b) total precipitation (mm) from
sowing to harvest.(p = 0.02, r = −0.69).
c) precipitation in August (mm)(p < 0.001, r = −0.91).
Basically,
b-glucan MWt (Total rain and timing)-1
Modified Protein • Increase content and digestibility. Increased (plant) protein in the diet
a concept increasingly registering with the consumer. • Reduce residual allergenicity. • Natural variation exists
Tailored Lipid profile.
Fatty Acid Oat flakes% of total fatty acids.
C14:0 0.1⁎C16:0 15.5C18:0 0.8C18:1 37.1C18:2 ω−6 45.2C18:3 ω−3 1.1C20:1 ω−9 0.2
Increased PUFAs
Healthier and potentially moreflavoursome but……..
OATS - Horizon Scanning
What about the co-products?
Wheat Bran
Insoluble Fraction: 55-60% Soluble fraction(intermediate): 40-45%
Xylo-Oligosaccharide :10-20%
Soluble Xylans, prebiotics: 10-20%
Aleurone-rich Protein 3-4%
Aleurone-rich Oil: 0,5%Defatted Aleurone- rich Protein: 3-4%
Insoluble Dietary Fibre: 18-25%
Glucose Syrup15-25%
Germ Rich Protein7-15%
Germ Oil1,5-3%
Defatted Germ Rich Protein 6-12%
Xylan rich protein 7-15%
Aleurone Rich Protein, Hydrol.: 3-4%
Intermediate
Main products
Especially for prebioticcontent
GRP Hydrolyzed7-15%
DARP, Hydrolyzed 3-4%
DGRP, hydrolyzed 6-12%%
All % figures relate to the cereal bran.
Ultimate Target – An Oat Translational Pipeline
Minimally
processed
USP
Yield, Pathogen resistance/tolerance
Processability, Organolepsis, Nutrition etc.
Acknowledgements
Derek is regularly questioned on the health benefits of an oat & fruit breakfast by members
of the public