SlideShare uma empresa Scribd logo
1 de 28
Baixar para ler offline
LOW MOLECULAR WEIGHT                           M.T. LABUSCHAGNE
                                               and A. VAN BILJON
 GLUTENIN SUBUNITS
AND GLIADINS IN 137                             Department of Plant
                                               Sciences, University of
DOUBLE HAPLOID WHEAT                          the Free State, P.O. Box
LINES DERIVED FROM A                             339, Bloemfontein
   CROSS BETWEEN                                 9300, South Africa
                                                       Email:
 KARIEGA AND AVOCET                             labuscm@ufs.ac.za



T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
INTRODUCTION

theWheat gliadins are a highly polymorphic essential amino
    protein of maize is deficient in two group of seed
acids, lysine and tryptophan proteins
                     storage



     They are controlled by Gli loci on the short arms of
                   chromosomes 1 and 6



         γ and ω = 1A, 1B, 1D Gli-A1, Gli-B1, Gli-D1
   α and β = group 6 chromosomes, Gli-A2, Gli-B2, Gli-D2
From Shewry and Lookhart (2003)
Genes encoding LMW GS (Glu-3) are linked to genes (Gli-1)
              encoding ω and γ gliadins




      Gliadin extract gives ω5, ω1,2, α and γ gliadins




Glutenin extract gives glutenin bound ω extracts and HMW
                    and LMW subunits
Most wheat cultivars show similar overall patterns of
gliadin and glutenin subunits with characteristic regions for
                         each type
AIM OF THE
  AIMSTUDY
     OF STUDY
   To study low
   To study low
     molecular weight
 molecular weight
     glutenins and
   glutenins and
     gliadins in a DH
 gliadins in a DH
     population of a
          A
  population of a
     cross between
  cross between
     Kariega and Avocet
Kariega and Avocet
Materials and methods
           Double haploid wheat population, developed with wheat x maize
                       crosses using wheat x maize crosses


                      Avocet x Kariega: 137 DH’s developed from F2 material



            Kariega = hard red South African bread wheat with excellent quality


                              Avocet = standard white Australian spring wheat
T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
Materials and methods

        Protein extraction for RP-HPLC using method of Wieser et al. (1998)



                                 First gliadin extraction with 70% ethanol


           Glutenin extraction with 50% propan-1-ol, urea and DTT and 4-
                                    vinylpyridine

                                              RP-HPLC with C18 column
T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
Results



T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
ωωω               ωωα   ωωγ

 Gliadin profile of Avocet




      ωωω              ωωα     ωωγ

Gliadin profile of Kariega
GLIADIN PEAK AREA (%) OF PARENTS AND THE DH
     POPULATION


Name P20.8 P21.4 P22.3 P23            p24         p25.1 p26       p265     p27      p275     p28.6 p31      p345     p36

Avocet    2.91   6.13   0.00   0.00         2.4     0.00 13.12 10.35         4.25     8.00     2.66 18.47     6.89     1.27

Kariega   3.99   3.63   1.94    1.3         2.3     2.65   8.67     7.89     4.02     7.49     0.00 18.49     5.03     1.33

DH        3.44   3.86   1.28   1.77     2.36 0.900 13.16 11.29               5.13     6.69     2.59 16.57     6.77     1.74




                 ω                                            α                                               γ
Gliadins
           ω peak 22.3 was absent in Avocet but was
            present in 50 of 137 DH’s
           ω peak 23 was absent in Avocet but was
            present in 127 of 137 DH’s
           α peak 25.1 was absent in Avocet, but was
            present in only 41 of 137 DH’s

T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za




                                              8/14/2012
Gliadins
           α peak 28.6 was absent in Kariega, but was
            present in 118 of 137 DH’s
           α peak 26 was much higher in Avocet (13.12)
            than in Kariega (8.67) but the DH average was
            13.16, like the Avocet parent
           α peak 26.5 was higher for the DH average
            (11.29) than either parent Avocet (10.35) and
            Kariega (7.89)
T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za




                                              8/14/2012
Gliadins
           α peak 27.5 was lower for the DH average
            (6.69) than for either parent Avocet (8) or
            Kariega (7.49)
           The other peaks for DH averages were close
            to the average of the two parents



T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za




                                              8/14/2012
Highly significant (P≤0.0001) correlations between
gliadins
Characteristic1    Characteristic2    Correlation
P20.8 (ω)          P21.4(ω)           -0.693
P20.8(ω)           P22.3(ω)           -0.432
P21.4 (ω)          P22.3 (ω)          0.872
P22.3 (ω)          P24 (α)            0.376
P22.3 (ω)          P31 (α)            -0.376
P23 (α)            P36 (γ)            0.346
P25.1 (α)          P26 (α)            -0.886
P27.5 (α)          P28.6 (α)          -0.685
0, 7+8, 2+12
                                    Avocet glutenins




 HMW glutenins
  H HMW            LMW glutenins
      HM




2*, 17+18, 2+12
                                   Kariega glutenins




 HMW glutenins
    HMW           LMW glutenins
                      HMW


                                            8/14/2012
LMW GLUTENIN PEAKS (% AREA) OF PARENTS AND THE DH
  POPULATION


       gl26 gl27 gl28.5 gl28.8 gl29.4 gl30 gl32 gl33.3
Avocet    6.72 37.05 5.17 3.63 3.60 6.06 3.22 4.03
Kariega 5.96 33.40 4.90 3.46 3.71 5.93 3.18 2.34
DH        9.79 28.97 4.24 4.03 3.34 5.34 3.98 5.41
LMW glutenins
           These subunits were more difficult to score
            than the gliadins
           Peak 26 average of the DH was much higher
            (9.79) than that of either Avocet (6.72) or
            Kariega (5.96)
           Peak 27 average of the DH was much lower
            (28.97) than either Avocet (37.05) or Kariega
            (33.4)
T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za




                                              8/14/2012
LMW glutenins

           Peak 33.3 DH average (5.41) was much higher
                than that of either Avocet (4.03) or Kariega
                (2.34)




T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za




                                                 8/14/2012
Highly significant (P≤0.01) correlations between LMW glutenins

                   Characteristic1            Characteristic2   Correlation
                   Peak 26                    Peak 27           -0.372
                   Peak 28.8                  Peak 29.4         -0.318
                   Peak 28.8                  Peak28.5          0.243
                   Peak 28.5                  Peak 29.4         -0.248
                   Peak 29.4                  Peak 28.8         -0.318
                   Peak 28.8                  Peak 30           -0.274




T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
Highly significant (P≤0.01) correlations between LMW glutenins and gliadins

                   Characteristic1            Characteristic2      Correlation
                   Gliadin peak 26.5          Glutenin peak 27     -0.229
                   Gliadin peak 27.5          Glutenin peak 28.5   0.253
                   Gliadin peak 25.1          Glutenin peak 28.5   -0.273
                   Gliadin peak 34.5          Glutenin peak 33     0.419




T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
DISCUSSION AND CONCLUSIONS




                   8/14/2012
For the gliadins three peaks were absent in Avocet which
were in Kariega, and one was absent in Kariega which was
present in Avocet



  Peak 22.3 absent in Avocet was present in 36% of the DH
                        population




Peak 23 absent in Avocet was present in 93% of DH population
Peak 25.1 absent in Avocet was present in 30% of DH
population




 Peak 28.6 absent in Kariega was present in 86% of the DH
                        population
Peak 21.4 and 22.3 almost always occurred together and
were correlated r=0.872



Peaks 25.1 and 26 were highly negatively correlated (-0.886)
indicating that the presence of one lead to the supression of
                          the other


   Peaks 20.8 and 21.4; and 27.5 and 28.6 were also highly
 negatively correlated (-0.693 and -0.685) indicating that the
presence of one usually supressed the expression of the other
Eight clear LMW glutenin peaks were seen in all material




   In four of the peaks the values were higher for the DH
population than that of either parent, and for the four other
        peaks they were lower than for either parent



 There were some significant correlations within the LMW
glutenins and between LMW glutenins and the gliadins, but
                 the values were very low
Both the glutenin and the gliadin peaks of the DH population
were not intermediate between that of the parents, indicating
some interaction between genes coding for these loci




The DH population expressed the peak missing in either parent
to a much higher extent than expected in two cases and much
 lower than expected in two cases. One can speculate on the
                       reason for this
Thank you!

Mais conteúdo relacionado

Mais de CIMMYT

Tropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationTropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationCIMMYT
 
Social inclusion of young people and site-specific nutrient management (SSNM)...
Social inclusion of young people and site-specific nutrient management (SSNM)...Social inclusion of young people and site-specific nutrient management (SSNM)...
Social inclusion of young people and site-specific nutrient management (SSNM)...CIMMYT
 
Identification of quantitative trait loci for resistance to shoot fly in maize
Identification of quantitative trait loci for resistance to shoot fly in maizeIdentification of quantitative trait loci for resistance to shoot fly in maize
Identification of quantitative trait loci for resistance to shoot fly in maizeCIMMYT
 
The development of two sweet corn populations resistance to northern corn lea...
The development of two sweet corn populations resistance to northern corn lea...The development of two sweet corn populations resistance to northern corn lea...
The development of two sweet corn populations resistance to northern corn lea...CIMMYT
 
Outbreak of Fusarium ear rot on Maize in Thailand
Outbreak of Fusarium ear rot on Maize in ThailandOutbreak of Fusarium ear rot on Maize in Thailand
Outbreak of Fusarium ear rot on Maize in ThailandCIMMYT
 
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...CIMMYT
 
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...CIMMYT
 
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...CIMMYT
 
Maize intensification in major production regions of the world
Maize intensification in major production regions of the worldMaize intensification in major production regions of the world
Maize intensification in major production regions of the worldCIMMYT
 
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...CIMMYT
 
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...CIMMYT
 
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...CIMMYT
 
New agricultural technologies and gender dynamics at house holds in rural Ba...
 New agricultural technologies and gender dynamics at house holds in rural Ba... New agricultural technologies and gender dynamics at house holds in rural Ba...
New agricultural technologies and gender dynamics at house holds in rural Ba...CIMMYT
 
Effects of QPM and PVA maize on chicken
Effects of QPM and PVA maize on chickenEffects of QPM and PVA maize on chicken
Effects of QPM and PVA maize on chickenCIMMYT
 
Seeds of Discovery
Seeds of DiscoverySeeds of Discovery
Seeds of DiscoveryCIMMYT
 
Soil and nitrogen management in maize
Soil and nitrogen management in maizeSoil and nitrogen management in maize
Soil and nitrogen management in maizeCIMMYT
 
Technologies to drive maize yield improvement
Technologies to drive maize yield improvementTechnologies to drive maize yield improvement
Technologies to drive maize yield improvementCIMMYT
 
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal CIMMYT
 
Efficiency of slow/controlled-release fertilizers
Efficiency of slow/controlled-release fertilizers Efficiency of slow/controlled-release fertilizers
Efficiency of slow/controlled-release fertilizers CIMMYT
 
Kanwal Singh Chauhan, Farmer Entrepreneur
Kanwal Singh Chauhan, Farmer EntrepreneurKanwal Singh Chauhan, Farmer Entrepreneur
Kanwal Singh Chauhan, Farmer EntrepreneurCIMMYT
 

Mais de CIMMYT (20)

Tropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that informationTropical maize genome: what do we know so far and how to use that information
Tropical maize genome: what do we know so far and how to use that information
 
Social inclusion of young people and site-specific nutrient management (SSNM)...
Social inclusion of young people and site-specific nutrient management (SSNM)...Social inclusion of young people and site-specific nutrient management (SSNM)...
Social inclusion of young people and site-specific nutrient management (SSNM)...
 
Identification of quantitative trait loci for resistance to shoot fly in maize
Identification of quantitative trait loci for resistance to shoot fly in maizeIdentification of quantitative trait loci for resistance to shoot fly in maize
Identification of quantitative trait loci for resistance to shoot fly in maize
 
The development of two sweet corn populations resistance to northern corn lea...
The development of two sweet corn populations resistance to northern corn lea...The development of two sweet corn populations resistance to northern corn lea...
The development of two sweet corn populations resistance to northern corn lea...
 
Outbreak of Fusarium ear rot on Maize in Thailand
Outbreak of Fusarium ear rot on Maize in ThailandOutbreak of Fusarium ear rot on Maize in Thailand
Outbreak of Fusarium ear rot on Maize in Thailand
 
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
Next Generation Phenotyping Technologies in Breeding for Abiotic Stress Toler...
 
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
Marker-assisted introgression of waxy1 gene into elite inbreds for enhancemen...
 
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
Comparative Analysis of Biochemical & Physiological Responses of Maize Genoty...
 
Maize intensification in major production regions of the world
Maize intensification in major production regions of the worldMaize intensification in major production regions of the world
Maize intensification in major production regions of the world
 
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...Genomic and enabling technologies in maize breeding for enhanced genetic gain...
Genomic and enabling technologies in maize breeding for enhanced genetic gain...
 
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
Defense Response boost Through Cu-chitosan Nanoparticles and Plant Growth enh...
 
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
Institutional and Policy Innovations for Food and Nutrition Security in Asia ...
 
New agricultural technologies and gender dynamics at house holds in rural Ba...
 New agricultural technologies and gender dynamics at house holds in rural Ba... New agricultural technologies and gender dynamics at house holds in rural Ba...
New agricultural technologies and gender dynamics at house holds in rural Ba...
 
Effects of QPM and PVA maize on chicken
Effects of QPM and PVA maize on chickenEffects of QPM and PVA maize on chicken
Effects of QPM and PVA maize on chicken
 
Seeds of Discovery
Seeds of DiscoverySeeds of Discovery
Seeds of Discovery
 
Soil and nitrogen management in maize
Soil and nitrogen management in maizeSoil and nitrogen management in maize
Soil and nitrogen management in maize
 
Technologies to drive maize yield improvement
Technologies to drive maize yield improvementTechnologies to drive maize yield improvement
Technologies to drive maize yield improvement
 
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
 
Efficiency of slow/controlled-release fertilizers
Efficiency of slow/controlled-release fertilizers Efficiency of slow/controlled-release fertilizers
Efficiency of slow/controlled-release fertilizers
 
Kanwal Singh Chauhan, Farmer Entrepreneur
Kanwal Singh Chauhan, Farmer EntrepreneurKanwal Singh Chauhan, Farmer Entrepreneur
Kanwal Singh Chauhan, Farmer Entrepreneur
 

Último

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamUiPathCommunity
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 

Último (20)

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 

Low molecular weight glutenin subunits and gliadins in 137 double haploid wheat lines derived from a cross between Kariega and Avocet

  • 1. LOW MOLECULAR WEIGHT M.T. LABUSCHAGNE and A. VAN BILJON GLUTENIN SUBUNITS AND GLIADINS IN 137 Department of Plant Sciences, University of DOUBLE HAPLOID WHEAT the Free State, P.O. Box LINES DERIVED FROM A 339, Bloemfontein CROSS BETWEEN 9300, South Africa Email: KARIEGA AND AVOCET labuscm@ufs.ac.za T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
  • 2. INTRODUCTION theWheat gliadins are a highly polymorphic essential amino protein of maize is deficient in two group of seed acids, lysine and tryptophan proteins storage They are controlled by Gli loci on the short arms of chromosomes 1 and 6 γ and ω = 1A, 1B, 1D Gli-A1, Gli-B1, Gli-D1 α and β = group 6 chromosomes, Gli-A2, Gli-B2, Gli-D2
  • 3. From Shewry and Lookhart (2003)
  • 4. Genes encoding LMW GS (Glu-3) are linked to genes (Gli-1) encoding ω and γ gliadins Gliadin extract gives ω5, ω1,2, α and γ gliadins Glutenin extract gives glutenin bound ω extracts and HMW and LMW subunits
  • 5. Most wheat cultivars show similar overall patterns of gliadin and glutenin subunits with characteristic regions for each type
  • 6. AIM OF THE AIMSTUDY OF STUDY  To study low To study low molecular weight molecular weight glutenins and glutenins and gliadins in a DH gliadins in a DH population of a A population of a cross between cross between Kariega and Avocet Kariega and Avocet
  • 7. Materials and methods Double haploid wheat population, developed with wheat x maize crosses using wheat x maize crosses Avocet x Kariega: 137 DH’s developed from F2 material Kariega = hard red South African bread wheat with excellent quality Avocet = standard white Australian spring wheat T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
  • 8. Materials and methods Protein extraction for RP-HPLC using method of Wieser et al. (1998) First gliadin extraction with 70% ethanol Glutenin extraction with 50% propan-1-ol, urea and DTT and 4- vinylpyridine RP-HPLC with C18 column T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
  • 9. Results T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
  • 10. ωωω ωωα ωωγ Gliadin profile of Avocet ωωω ωωα ωωγ Gliadin profile of Kariega
  • 11. GLIADIN PEAK AREA (%) OF PARENTS AND THE DH POPULATION Name P20.8 P21.4 P22.3 P23 p24 p25.1 p26 p265 p27 p275 p28.6 p31 p345 p36 Avocet 2.91 6.13 0.00 0.00 2.4 0.00 13.12 10.35 4.25 8.00 2.66 18.47 6.89 1.27 Kariega 3.99 3.63 1.94 1.3 2.3 2.65 8.67 7.89 4.02 7.49 0.00 18.49 5.03 1.33 DH 3.44 3.86 1.28 1.77 2.36 0.900 13.16 11.29 5.13 6.69 2.59 16.57 6.77 1.74 ω α γ
  • 12. Gliadins  ω peak 22.3 was absent in Avocet but was present in 50 of 137 DH’s  ω peak 23 was absent in Avocet but was present in 127 of 137 DH’s  α peak 25.1 was absent in Avocet, but was present in only 41 of 137 DH’s T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za 8/14/2012
  • 13. Gliadins  α peak 28.6 was absent in Kariega, but was present in 118 of 137 DH’s  α peak 26 was much higher in Avocet (13.12) than in Kariega (8.67) but the DH average was 13.16, like the Avocet parent  α peak 26.5 was higher for the DH average (11.29) than either parent Avocet (10.35) and Kariega (7.89) T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za 8/14/2012
  • 14. Gliadins  α peak 27.5 was lower for the DH average (6.69) than for either parent Avocet (8) or Kariega (7.49)  The other peaks for DH averages were close to the average of the two parents T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za 8/14/2012
  • 15. Highly significant (P≤0.0001) correlations between gliadins Characteristic1 Characteristic2 Correlation P20.8 (ω) P21.4(ω) -0.693 P20.8(ω) P22.3(ω) -0.432 P21.4 (ω) P22.3 (ω) 0.872 P22.3 (ω) P24 (α) 0.376 P22.3 (ω) P31 (α) -0.376 P23 (α) P36 (γ) 0.346 P25.1 (α) P26 (α) -0.886 P27.5 (α) P28.6 (α) -0.685
  • 16. 0, 7+8, 2+12 Avocet glutenins HMW glutenins H HMW LMW glutenins HM 2*, 17+18, 2+12 Kariega glutenins HMW glutenins HMW LMW glutenins HMW 8/14/2012
  • 17. LMW GLUTENIN PEAKS (% AREA) OF PARENTS AND THE DH POPULATION gl26 gl27 gl28.5 gl28.8 gl29.4 gl30 gl32 gl33.3 Avocet 6.72 37.05 5.17 3.63 3.60 6.06 3.22 4.03 Kariega 5.96 33.40 4.90 3.46 3.71 5.93 3.18 2.34 DH 9.79 28.97 4.24 4.03 3.34 5.34 3.98 5.41
  • 18. LMW glutenins  These subunits were more difficult to score than the gliadins  Peak 26 average of the DH was much higher (9.79) than that of either Avocet (6.72) or Kariega (5.96)  Peak 27 average of the DH was much lower (28.97) than either Avocet (37.05) or Kariega (33.4) T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za 8/14/2012
  • 19. LMW glutenins  Peak 33.3 DH average (5.41) was much higher than that of either Avocet (4.03) or Kariega (2.34) T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za 8/14/2012
  • 20. Highly significant (P≤0.01) correlations between LMW glutenins Characteristic1 Characteristic2 Correlation Peak 26 Peak 27 -0.372 Peak 28.8 Peak 29.4 -0.318 Peak 28.8 Peak28.5 0.243 Peak 28.5 Peak 29.4 -0.248 Peak 29.4 Peak 28.8 -0.318 Peak 28.8 Peak 30 -0.274 T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
  • 21. Highly significant (P≤0.01) correlations between LMW glutenins and gliadins Characteristic1 Characteristic2 Correlation Gliadin peak 26.5 Glutenin peak 27 -0.229 Gliadin peak 27.5 Glutenin peak 28.5 0.253 Gliadin peak 25.1 Glutenin peak 28.5 -0.273 Gliadin peak 34.5 Glutenin peak 33 0.419 T: 051 401 9111 info@ufs.ac.zawww.ufs.ac.za
  • 23. For the gliadins three peaks were absent in Avocet which were in Kariega, and one was absent in Kariega which was present in Avocet Peak 22.3 absent in Avocet was present in 36% of the DH population Peak 23 absent in Avocet was present in 93% of DH population
  • 24. Peak 25.1 absent in Avocet was present in 30% of DH population Peak 28.6 absent in Kariega was present in 86% of the DH population
  • 25. Peak 21.4 and 22.3 almost always occurred together and were correlated r=0.872 Peaks 25.1 and 26 were highly negatively correlated (-0.886) indicating that the presence of one lead to the supression of the other Peaks 20.8 and 21.4; and 27.5 and 28.6 were also highly negatively correlated (-0.693 and -0.685) indicating that the presence of one usually supressed the expression of the other
  • 26. Eight clear LMW glutenin peaks were seen in all material In four of the peaks the values were higher for the DH population than that of either parent, and for the four other peaks they were lower than for either parent There were some significant correlations within the LMW glutenins and between LMW glutenins and the gliadins, but the values were very low
  • 27. Both the glutenin and the gliadin peaks of the DH population were not intermediate between that of the parents, indicating some interaction between genes coding for these loci The DH population expressed the peak missing in either parent to a much higher extent than expected in two cases and much lower than expected in two cases. One can speculate on the reason for this