Breaking the Kubernetes Kill Chain: Host Path Mount
Effects of HMW- & LMW-glutenins and grain hardness on size of wheat storage proteins polymers
1. Effects of HMW- & LMW-glutenins
and grain hardness on size of wheat
storage proteins polymers
Véronique S. LESAGE,
L. RHAZI, T. AUSSENAC, B. MELEARD, G. BRANLARD
INRA, Genetics, Diversity and Ecophysiology of Cereals,
Clermont-Ferrand, France
11th International Gluten Workshop, August 12-15, 2012
2. Dough quality
Nature of gliadins and glutenins alleles
Polymerization
Cys: intramolecular
disulfide bonds
g-gliadin
Cys: intermolecular
disulfide bonds
PS N Repeat C LMW-Glutenin
PS N
Repeat C
HMW-GS type x
Polymers size depends on free cystine number
Repeat LMW-Glu
and also on environmental conditions
PS N C
PS N
Repeat C HMW-GS type y
PS N
Repeat C HMW-GS type y
PS N Repeat C LMW-Glu
From Köhler P. et al., 1993. Z. Lebensm. Unters. Forsch
3. Polymerization/aggregation
Formation of
insoluble polymers
during wheat kernel
Influence of puroindolines development
X 10 Da Molecular weight 6
and glutenins alleles
40 4
35
on polymers size?
30 NILs
3.5
3
25
Mw x 107 g/mol
2.5
20 2
Source Carceller JL, Aussenac T., 2001. Aust. J. Plant Physiol
hard x
PinA
15
1.5 soft PinA
10 1
5
0.5
00
1997 2008 2010
From Lesage et al., 2011, J. Cereal Science, 53(2), 231
16. Puroindoline B alleles
• 3 Grain Hardness classes: Soft < 35
35 < Medium < 75
Hard > 75
• PinA and PinB genes sequenced in all varieties
– PinA: no deletion, no SNP
– PinB : 5 alleles
AA position from start: 73 75 89
PinB-D1a WPTKWWKGGC-----------L Allele of Soft varieties
PinB-D1b WPTKWWKSGC-----------L
PinB-D1d WPTKWRKGGC-----------L
PinB-D1c WPTKWWKGGC-----------P
PinB-D1b + d WPTKWRKSGC-----------L
17. Puroindoline B alleles
• 3 Grain Hardness classes: Soft < 35
35 < Medium < 75
Hard > 75
• PinA and PinB genes sequenced in all varieties
– PinA: no deletion, no SNP
– PinB : 5 alleles
Grain Hardness Class
PinB
D1a
D1b
S
D1d
D1c
PinB-D1a WPTKWWKGGC-----------L D1b+ d
PinB-D1b WPTKWWKSGC-----------L M
PinB-D1d WPTKWRKGGC-----------L
H
PinB-D1c WPTKWWKGGC-----------P
0 20 40 60 80
PinB-D1b + d WPTKWRKSGC-----------L Occurence
20. Effects of interaction between glutenins and puroindoline B alleles
x 106 Da
Mw2
Mw2 x 106 Da
Mw2
Mw2
(X 1,E6) PinB (X 1,E6) PinB
2929 PinB
Pinb-3al
D1a
2121 PinB
Pinb-3al
D1a
2424 D1b D1b
1919
___ D1a
D1d
1919 ___ D1a
D1d
1414 ___ D1b 1717 ___ D1b
99 ___ D1d 1515
___ D1d
44
-1 1313 a d ef
7 68 78 79 1316 1718 6122
7-8Glu-B1 a Glu-A3
Glu-B1 Glu-A3
Part of environmental effects?
Interactions Glutenins-Puroindolines had effects on polymers characteristics
Effects were contrasted depending on each allele
Small part of polymers characteristics variation
21. Environmental effects on quality traits
Variance analysis (68 varieties, 2 years)
Year
effect R2 %
Protein content ns
Grain Hardness ns
Gluten Index ns
Mw2 * 44.9
Mw/Mn2 * 51.0
Rw2 ** 56.4
%F1 ns
%F2 ns
%F3 ns
%F4 ns
%F5 ns
* p < 0.05
** p < 0.01
*** p < 0.001
22. Environmental effects on quality traits
Effects of sum of mean temperatures (June and July)
AFFFF gives more reliableeffect forR2 %
data native polymers characterization than SE-HPLC
that reflects more diversity of glutenins
Protein content ns 6 Mw2
x 10Mw2
Da
Grain Hardness ns (X 1,E7)
50 5
Gluten Index ns
40 4
Mw2 *** 38.5
Mw/Mn2 *** 62.7 30 3
Rw2 *** 47.5 20 2
%F1 ns 10 1
%F2 ns 00
%F3 ns 1080 1100 1120 1140 1160 1180
1080 1100 1120 Ju l (癈 ) 1160 1180
SMT-Jun 1140
%F4 ns
%F5 ns Sum of mean temperatures (°C)
(June and July)
23. Regression Mw2 on sum of daily mean temperatures of June and July
x 106 Da Mw2
35
3.50E+07
S
30
3.00E+07
p < 0.01
25
2.50E+07
**
20 H
2.00E+07 Soft
ns
15
1.50E+07
Medium
ns
Temperature had a different impact on polymers size according to grain hardness
10
Hard
1.00E+07
and this has probably a strong impact on dough quality
5
5.00E+06
0
0.00E+00
1080 1100 1120
1080 1100 1120 1140 1160 1180 1200 1220
1140 1160 1180 1200 1220
Sum mean temp. (°C)
Soft : Mw2= -203207000+196542*SumTemp R²=0.37
Medium : Mw2= -172673000+167021*SumTemp R²=0.48
Hard : Mw2= -124367000+121462*SumTemp R²=0.44
25. Conclusions
• AFFFF provides more reliable data on polymers size
than SE-HPLC
• Influence of PinB alleles on storage proteins polymers
was observed in interaction with glutenins alleles
• Temperatures during the 2 last months impacted
characteristics of polymers differently according to
grain hardness
26. Acknowledgements
Gérard Branlard Larbi Rhazi Benoî Méléard
t
François-Xavier Oury Thierry Aussenac
Private partners:
Saaten Union Research
Syngenta
Momont
Florimond-Desprez
Caussade semences
28. Glutenins alleles in the experiment
Glu-A1 0 1 2*
HMW Glu-B1 6-8 7 7-8 7-9 13-16 14-15 17-18 6.1-22
Glu-D1 2-12 3-12 4-12 5-10
Glu-A3 a d ef
LMW Glu-B3 b b' c c' d f g j
Glu-D3 b c
29. Comparison of Mw2 in the 2 experiments
Falcon Hard-Soft NILs + equal Temp. 68 varieties + different Temp.
• Soft (PinA +, PinB +) • Soft (PinA +, PinB +)
Mw2 : 20.4 106 Da Average Mw2 : 17.6 106 Da
• Hard (PinA -, PinB +) • Hard (PinA +, PinB-SNPs)
Mw2 : 28.5 106 Da Average Mw2 : 13.0 106 Da
Hypothesis: Hypothesis:
PinA absence increased SNP-PinB decreased
aggregation polymerization
From Lesage et al., 2011. J. of Cereal Science From this experiment
and Lesage et al., 2012, J. Exp. Bot