SlideShare a Scribd company logo
1 of 19
Download to read offline
Characterization of Genetic Diversity of Conserved Germplasm


        A major component of IITA’s Research Portfolio


            Outline

            1. Why to assess genetic diversity?

            2. How IITA does it?

            3. Case studies



            Crops:
                 - Yam
                 - Cowpea
                 - Bananas (Banana & Plantain)
                 - Bambara groundnut
                 - Maize
                 - African yam bean


                                                         By Irie Vroh Bi
1. Why to assess genetic diversity?

-From domestication to selection to improvement, farmers have relied on
 genetic variation for thousands of years.

-Genetic diversity gives species the ability to adapt to changing environments,
including new pests, new diseases and new climatic conditions.

-Efficient conservation of germplasm depends on the understanding
of the available diversity.

-Efficient utilization of germplasm by breeders depends on the understanding
of the extent, nature and structure of the available genetic diversity.




Conservation of a diversity in crop species, varieties and wild relatives
and efficient utilization are key to our survival



      Need to assess and understand crop genetic diversity
2. How IITA does it?


1. Morphological characterization: morphological and agronomical descriptors

2. Molecular characterization: Molecular markers (Biotech Ibadan & BECA, Nairobi)

         -Simple Sequence Repeat (SSR)
         -Amplified Fragment Length Polymorphism (AFLP)
         -Single Nucleotide Polymorphism (SNP)
         -Diversity Array Technology (DArT)

         -IITA uses available DNA markers

         -IITA in collaboration with partners participates in
         developing new molecular markers

         -Molecular analyses are performed in house or outsourced


3. Cytogenetic characterization : ploidy analysis
Morphological characterization


  Bambara groundnut: 391 accessions
  characterized using 39 descriptors




                                           Bananas: ~200 accessions
                                           characterized with 50 descriptors
African yam bean: 152 accessions
Characterized using 62 descriptors
Germplasm characterization
Crops            Number        Characterization
                 descriptors
Cowpea           46            Completed
                               Core/Minicore
Bambara          39            Completed
                               Core
Yam              125           Completed
                               Core
Cassava          42            Partial
                               In progress
Soybean          6             Partial

Wild vigna       70            Partial
                               In progress
Bananas          50            Completed
                               core
Maize            0             Started
Assessment of genetic diversity of yam germplasm with DNA markers




-Yam (Dioscorea sp): multi-species, polyploid and vegetatively propagated

-Over 90% of world yam production comes from West and Central Africa

-Farmers continue to grow local landraces that are low in productivity

-IITA holds >3000 landrace accessions from several African countries

-Identification of suitable diverse parents is key to breeding

-A core subset of 391 accessions characterized by IITA based on
morphological characteristics

-The core collection comprising six economically important species.

-Analysis of the core for inter- and intra-specific variability using 23 SSR markers
D. alata (red)
                                                                     D. bulbifera (purple)
                                                                     D. cayenensis (yellow)
                                                                     D. dumentorum (ash)
                                                                     D. esculenta (blue)
                                                                     D. rotundata (green)


                                                              -Results generally consistent with
                                                              established taxonomical relationships

                                                              -High level of genetic variation in core
                                                              germplasm


                                                              -Greater resolution of genetic relationships
                                                              among and within species


                                                              Valuable information for trait mapping
                                                              and breeding in yam


Figure 1. Genetic diversity tree of 342 yam accessions base
on SSR data using unweighted neighbour- joining analysis
Assessment of genetic diversity of cowpea germplasm with DNA markers



-Cowpea (Vigna unguiculata L. ) plays an important nutritional role in tropical
and subtropical regions (e.g. Sub-Saharan Africa)

-High protein content “~20%” (cowpea is recognized as the poor man’s meat)

-Cowpea forage is also used to feed livestock

-IITA maintains 15,000 accessions of cowpea

-A core collection of 2000 accessions was selected based
on morphological characterization

-Subsets of the core collection were analyzed further using molecular markers
to make a mini core of more than 300 accessions

-Subsets of the mini core are often drawn for further analyses
Diverse geographical origins covered in Sub-Saharan Africa

              Nigeria, Niger, Cameroon, Ghana,Senegal, Zambia, Malawi,
              Swaziland, Chad, Tanzania, Keyna, Mozambique, Zimbabwe,
              Congo, Botswana

48 wild cowpeas assessed using 12 SSR markers




      Gel electrophoregram of SSR primer VM27 showing amplifications with forty eight wild cowpea


From the analysis of number of alleles, marker polymorphic information content (PIC)
and clustering:

-Three subspecies, dekindtiana, pubescens and rhomboidea were recognized
-Others were recognized as varieties of dekindtiana except mensensis
-Southern Africa region is a likely center of diversity of wild cowpeas


-Nine SNP markers were also used to assess the diversity of the subset
Genetic diversity in yard-long bean
      (Vigna unguiculata subspecies unguiculata cv-gr sesquipedalis)


-50 accessions analyzed with 16 SSR primers

-68 polymorphic bands produced

-Accessions of yard-long-bean from India showed the highest level of genetic diversity

-The results support the suggestion that India is a likely center of diversity




        Development of genomic resources for diversity analysis,
        mapping and marker assisted breeding in cowpea

             IITA in collaboration with UCR, GCP and others
Molecular analysis of genetic diversity of Maize

 Sample study in a collaborative GCP funded project
 (IITA, France, Kenya, China, India, Indonesia, Thailand, Vietnam, and Philippines)




Objective 1: Assess the global maize diversity (previous studies targeted
Latin and North American and European germplasm only)

Objective 2: Compare genotyping procedures from different laboratories


-237 landraces (Asia, Africa and Latin America). 10 teosinte accessions
(Northern and Central America) and six CIMMYT maize lines were used
- 80 African landraces provided by IITA and analyzed with 51 SSR markers


-The diversity within maize landraces was extensive

- Up to 36% of alleles were unique to teosintes
Caribbean - Cuba
                               2                            Central America - Guatemala
                                                            Central America - Mexico
                                                            Eastern Africa - Ethiopia
                                                            Eastern Africa - Kenya
                                                            Eastern Africa - Malawi
                                                            Eastern Africa - Somalia
                             1.5                            Eastern Africa - Uganda
                                                            Eastern Africa - Zambia
                                                            Eastern Africa - Zimbabwe
                                                            Eastern Asia - China
                                                            Eastern Asia - Japan
                                                            Middle Africa - Angola
                                                            Middle Africa - Chad
                               1
                                                            Middle Africa - Congo
                                                            North America - Canada
                                                            North America - USA
                                                            Northern Africa - Algeria
                                                            Northern Africa - Egypt
                                                            Northern Africa - Morocco
                             0.5                            Northern Africa - Sudan
                                                            Oceania - Australia
                                                            South America - Argentina
                                                            South America - Bolivia
                                                            South America - Brazil
                                                            South America - Chilie
                               0                            South America - Colombia
-2       -1.5   -1    -0.5          0   0.5   1   1.5   2   South America - Ecuador
                                                            South America - Paraguay
                                                            South America - Peru
                                                            South America - Peru
                                                            South America - Venezuela
                             -0.5                           South-Eastern Asia - Indonesia
                                                            South-Eastern Asia - Philippines
                                                            South-Eastern Asia - Thailand
                                                            South-Eastern Asia - Vietnam
                                                            Southern Africa - South Africa
                                                            Southern Asia - Afghanistan
                                                            Southern Asia - India
                              -1
                                                            Southern Asia - Nepal
                                                            Southern Asia - Pakistan
                                                            Teosinte
                                                            Western Africa - Benin
                                                            Western Africa - Burkina Faso
                                                            Western Africa - Ghana
                             -1.5                           Western Africa - Guinea
                                                            Western Africa - Mali
                                                            Western Africa - Niger
     Comparison to data gathered from collaborators indicated
     that data from IITA was of good quality
Molecular analysis of genetic diversity in bananas (banana & plantain)

-Bananas (Musa spp.) are major food crops in tropical and subtropical regions

-Major cultivars are triploid (AAA, AAB and ABB genomes) with high sterility levels

-Wild species are highly diverse genetically and fertile

-IITA maintains cultivated and wild accessions (in vitro and field germplasm)


-Diversity analysis in the wild diploids to group and use the most diverse
            -Done with SSR analysis
-Diversity analysis in the triploid landraces for association mapping
            -Done with SSR and AFLP markers
-Diversity in mapping populations (also conserved in vitro)
            -Done with SSR, AFLP, DArT and SNP markers


                             Markers specific to Musa genomes




      A genome
      B genome
            Reproducible PCR markers differentiating the A from the B genome in a diversity panel
EMS treatment to induced mutations in vitro




                             The most preferred cultivars
                             are evolutionary dead end
Plantain Agbagba (AAB)                                           Cooking banana Bluggoe
                                                                            (ABB)
                 -Meristems treated with various concentrations of EMS
                 -Duration of treatment from 2 hours to 72 hours
                 -In vitro culture of meristems and acclimatation



                     EMS treated plants transferred to the field for
                     evaluation of phenotypes and agronomic traits


                                Collaboration with IAEA?
Analysis of somaclonal variations in IITA germplasm




-Genetic integrity is of primary importance in germplasm conservation, plant breeding,
and in the adoption of new varieties


-IITA conserves vegetatively propagated crops in its in vitro Genbank


-The germplasm is maintained over years and distributed to national and international
requesters

-Unexpected variations can occur during in vitro propagation (somaclonal)
to generate off-types with or without agronomic value

-It is critical to track those variations and to possibly link them to traits
Characterization of somaclonal variations in banana germplasm


                                                      2nd round amplification of variant band by PCR


    -In vitro culture
                &
    -Appropriate molecular techniques


                                                                                 Sequencing
-Potential functions of the variation assessed

-Sequences registered in public genomic databases

Examples:
GenBank Acc# ET165586 to ET165601 (US_NCBI)




-Plants tagged & transferred to the field to link
genomic variations to phenotypes

-Applying the procedure to other IITA               Sequence of a variant fragment in Bluggoe (ABB genome)
mandate crops (e.g. Yam)
IITA participates to international efforts to generate genomic resources
useful for diversity analysis, mapping and functional genomics

        Cowpea
        •  Over 40,000 ESTs sequenced from cowpea drought
           differential cDNA libraries
        •  17,000 unique contiguous and single sequences yielded
        •  Over 5000 potential new markers identified
            – 3226 single nucleotide polymorphisms
            – 1806 microsatelite markers
        •  Microarray chip under manufacture

        Bananas
        •  5494 ESTs sequenced from musa drought differential
           cDNA libraries, combined with existing consortia data
        •  32,000 unique contiguous and single sequences yielded
        •  Over 30000 potential new markers identified
            – 28800 single nucleotide polymorphisms
            – 1937 microsatelite markers




           Participation to generating DArT arrays in IITA
           mandate crops
                              -Bananas
                              -Yam
Characterization of germplasm by Cytogenetics

-Two flow cytometers (Nigeria and Uganda)

-Ploidy analysis in yam, cassava, bananas, Cowpea and other orphan crops

-Throughtput of 100 samples a day




   CV-Accessions   File #   Ploidy   CV-Accessions         File #   Ploidy
   D. rotundata    907      4x       Balbisiana-selfed2    310      2x
   D. rotundata    927      4x       Balbisiana-selfed3    317      2x
   D. rotundata    929      4x       Balbisiana-selfed4    301      2x
   D. cayenensis   908      8x       Balbisiana-selfed5    320      2x
   D. cayenensis   909      8x       Balbisiana-selfed6    389      2x
   D. cayenensis   910      8x       Balbisiana-selfed7    302      2x
   D. cayenensis   911      8x       Balbisiana-selfed8    330      2x
   D. cayenensis   912      8x       Balbisiana-selfed9    303      2x
   D. cayenensis   916      8x       Balbisiana-selfed10   340      2x
Acknowledgments:

-Morphological description of Germplasm: Dr. Dumet D.

-Molecular analysis of Yam : Dr. Asiedu R.

-Analysis of Bananas: Dr. Vroh B. I.

-Cowpea analysis by SSR markers: Dr Fatokun C.

-Maize analysis by SSR markers: Dr. Hearnes S.

-Cytogenetics-ploidy analysis: Dr. Vroh B. I.

-Generating genomic resources (Cowpea, bananas): Dr. Hearnes S.

-Participating to DArT markers activities: Dr. Vroh B. I.


  -Several Donors
  -Several collaborators (NARS, ARIs)
  -Several students and national partners trained

  (List available with scientists mentioned above)
                                                            THANK YOU

More Related Content

What's hot

Molecular basis of heterosis in crop plants
Molecular basis of heterosis in crop plantsMolecular basis of heterosis in crop plants
Molecular basis of heterosis in crop plantsManjappa Ganiger
 
Domestication syndrome in crop plants
Domestication syndrome in crop plantsDomestication syndrome in crop plants
Domestication syndrome in crop plantsAnilkumar C
 
Genetic Basis of selection
Genetic Basis of selectionGenetic Basis of selection
Genetic Basis of selectionalok9023
 
Genomic selection for crop improvement
Genomic selection for crop improvementGenomic selection for crop improvement
Genomic selection for crop improvementnagamani gorantla
 
MARKER-ASSISTED BREEDING FOR RICE IMPROVEMENT
MARKER-ASSISTED BREEDING FOR RICE IMPROVEMENTMARKER-ASSISTED BREEDING FOR RICE IMPROVEMENT
MARKER-ASSISTED BREEDING FOR RICE IMPROVEMENTFOODCROPS
 
Genetic purity testing
Genetic purity testingGenetic purity testing
Genetic purity testingsunil kumar
 
Heterosis breeding in Indian mustard (Brassica juncea)
Heterosis breeding in Indian mustard (Brassica juncea)Heterosis breeding in Indian mustard (Brassica juncea)
Heterosis breeding in Indian mustard (Brassica juncea)Raju Ram Choudhary
 
Biometrical Techniques in Plant Breeding
Biometrical Techniques in Plant Breeding Biometrical Techniques in Plant Breeding
Biometrical Techniques in Plant Breeding Akshay Deshmukh
 
Biochemical basis of heterosis
Biochemical basis of heterosisBiochemical basis of heterosis
Biochemical basis of heterosisishwaryalakshmi9
 
Ear to row method
Ear to row methodEar to row method
Ear to row methodDev Hingra
 
Balanced tertiary trismoics - Hybrid seed production
Balanced tertiary trismoics - Hybrid seed productionBalanced tertiary trismoics - Hybrid seed production
Balanced tertiary trismoics - Hybrid seed productionRachana Bagudam
 
Methods of crop improvement and its application in crosspollinated crops
Methods of crop improvement and its application in crosspollinated cropsMethods of crop improvement and its application in crosspollinated crops
Methods of crop improvement and its application in crosspollinated cropsBiswajit Sahoo
 
Backcross Breeding Method
 Backcross Breeding Method  Backcross Breeding Method
Backcross Breeding Method Naveen Kumar
 
Bulk method pedigree method &line breeding
Bulk   method pedigree  method &line breedingBulk   method pedigree  method &line breeding
Bulk method pedigree method &line breedingPawan Nagar
 
Participatory Plant Breeding, Biodiversity, Genetic Resources, Gender and Cli...
Participatory Plant Breeding, Biodiversity, Genetic Resources, Gender and Cli...Participatory Plant Breeding, Biodiversity, Genetic Resources, Gender and Cli...
Participatory Plant Breeding, Biodiversity, Genetic Resources, Gender and Cli...CIAT
 
Molecular plant breeding some basic information
Molecular plant breeding some basic informationMolecular plant breeding some basic information
Molecular plant breeding some basic informationbawonpon chonnipat
 

What's hot (20)

Molecular basis of heterosis in crop plants
Molecular basis of heterosis in crop plantsMolecular basis of heterosis in crop plants
Molecular basis of heterosis in crop plants
 
Domestication syndrome in crop plants
Domestication syndrome in crop plantsDomestication syndrome in crop plants
Domestication syndrome in crop plants
 
Magic population
Magic populationMagic population
Magic population
 
Genetic Basis of selection
Genetic Basis of selectionGenetic Basis of selection
Genetic Basis of selection
 
Genomic selection for crop improvement
Genomic selection for crop improvementGenomic selection for crop improvement
Genomic selection for crop improvement
 
MARKER-ASSISTED BREEDING FOR RICE IMPROVEMENT
MARKER-ASSISTED BREEDING FOR RICE IMPROVEMENTMARKER-ASSISTED BREEDING FOR RICE IMPROVEMENT
MARKER-ASSISTED BREEDING FOR RICE IMPROVEMENT
 
Pre breeding
Pre breedingPre breeding
Pre breeding
 
Genetic purity testing
Genetic purity testingGenetic purity testing
Genetic purity testing
 
Heterosis breeding in Indian mustard (Brassica juncea)
Heterosis breeding in Indian mustard (Brassica juncea)Heterosis breeding in Indian mustard (Brassica juncea)
Heterosis breeding in Indian mustard (Brassica juncea)
 
Biometrical Techniques in Plant Breeding
Biometrical Techniques in Plant Breeding Biometrical Techniques in Plant Breeding
Biometrical Techniques in Plant Breeding
 
Biochemical basis of heterosis
Biochemical basis of heterosisBiochemical basis of heterosis
Biochemical basis of heterosis
 
Association mapping
Association mappingAssociation mapping
Association mapping
 
Ear to row method
Ear to row methodEar to row method
Ear to row method
 
Balanced tertiary trismoics - Hybrid seed production
Balanced tertiary trismoics - Hybrid seed productionBalanced tertiary trismoics - Hybrid seed production
Balanced tertiary trismoics - Hybrid seed production
 
Methods of crop improvement and its application in crosspollinated crops
Methods of crop improvement and its application in crosspollinated cropsMethods of crop improvement and its application in crosspollinated crops
Methods of crop improvement and its application in crosspollinated crops
 
Backcross Breeding Method
 Backcross Breeding Method  Backcross Breeding Method
Backcross Breeding Method
 
Bulk method pedigree method &line breeding
Bulk   method pedigree  method &line breedingBulk   method pedigree  method &line breeding
Bulk method pedigree method &line breeding
 
Participatory Plant Breeding, Biodiversity, Genetic Resources, Gender and Cli...
Participatory Plant Breeding, Biodiversity, Genetic Resources, Gender and Cli...Participatory Plant Breeding, Biodiversity, Genetic Resources, Gender and Cli...
Participatory Plant Breeding, Biodiversity, Genetic Resources, Gender and Cli...
 
Molecular plant breeding some basic information
Molecular plant breeding some basic informationMolecular plant breeding some basic information
Molecular plant breeding some basic information
 
01 pgr data base management
01 pgr data base management01 pgr data base management
01 pgr data base management
 

Viewers also liked

Lesson 7.1 inborn errors of metabolism
Lesson 7.1 inborn errors of metabolism Lesson 7.1 inborn errors of metabolism
Lesson 7.1 inborn errors of metabolism princesa2000
 
Cheetah (genetic diversity)
Cheetah (genetic diversity)Cheetah (genetic diversity)
Cheetah (genetic diversity)Julius Manolong
 
Metabolic disorders of proteins
Metabolic disorders of proteinsMetabolic disorders of proteins
Metabolic disorders of proteinsRazavi Nader
 
Dna microarray (dna chips)
Dna microarray (dna chips)Dna microarray (dna chips)
Dna microarray (dna chips)Rachana Tiwari
 

Viewers also liked (7)

Dna chip
Dna chipDna chip
Dna chip
 
DNA Chip
DNA ChipDNA Chip
DNA Chip
 
Lesson 7.1 inborn errors of metabolism
Lesson 7.1 inborn errors of metabolism Lesson 7.1 inborn errors of metabolism
Lesson 7.1 inborn errors of metabolism
 
Cheetah (genetic diversity)
Cheetah (genetic diversity)Cheetah (genetic diversity)
Cheetah (genetic diversity)
 
Genetic diversity lecture notes
Genetic diversity lecture notesGenetic diversity lecture notes
Genetic diversity lecture notes
 
Metabolic disorders of proteins
Metabolic disorders of proteinsMetabolic disorders of proteins
Metabolic disorders of proteins
 
Dna microarray (dna chips)
Dna microarray (dna chips)Dna microarray (dna chips)
Dna microarray (dna chips)
 

Similar to Characterization of Genetic Diversity of Conserved Germplasm

Unlock the genetic potential of rice from Africa for sustainable agriculture ...
Unlock the genetic potential of rice from Africa for sustainable agriculture ...Unlock the genetic potential of rice from Africa for sustainable agriculture ...
Unlock the genetic potential of rice from Africa for sustainable agriculture ...ILRI
 
Advances breeding of Banana
 Advances breeding of Banana Advances breeding of Banana
Advances breeding of BananaGANGARAM RANA
 
Genetic diversity of Napier Grass (Pennisetum purpureum Schumacher) germplasm...
Genetic diversity of Napier Grass (Pennisetum purpureum Schumacher) germplasm...Genetic diversity of Napier Grass (Pennisetum purpureum Schumacher) germplasm...
Genetic diversity of Napier Grass (Pennisetum purpureum Schumacher) germplasm...ILRI
 
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...CGIAR Generation Challenge Programme
 
Centres of origin biodiversity and its significance
Centres of origin  biodiversity and its significanceCentres of origin  biodiversity and its significance
Centres of origin biodiversity and its significanceAjay Kumar Chandra
 
Crop plants genetic and genomic resources
Crop plants genetic and genomic resourcesCrop plants genetic and genomic resources
Crop plants genetic and genomic resourcesArun Prabhu Dhanapal
 
Characterization of farmer’s exploratory landrace sorghum collections from no...
Characterization of farmer’s exploratory landrace sorghum collections from no...Characterization of farmer’s exploratory landrace sorghum collections from no...
Characterization of farmer’s exploratory landrace sorghum collections from no...ICRISAT
 
Harnessing the genetic diversity of goats to improve productivity in Africa
Harnessing the genetic diversity of goats to improve productivity in Africa Harnessing the genetic diversity of goats to improve productivity in Africa
Harnessing the genetic diversity of goats to improve productivity in Africa ILRI
 
Harnessing University-NARI partnership to Develop Stress Tolerant and Nutrien...
Harnessing University-NARI partnership to Develop Stress Tolerant and Nutrien...Harnessing University-NARI partnership to Develop Stress Tolerant and Nutrien...
Harnessing University-NARI partnership to Develop Stress Tolerant and Nutrien...RUFORUM
 
B4FA 2012 Tanzania: MARI Coconut breeding programme - Grace Chipungahelo
B4FA 2012 Tanzania: MARI Coconut breeding programme - Grace Chipungahelo B4FA 2012 Tanzania: MARI Coconut breeding programme - Grace Chipungahelo
B4FA 2012 Tanzania: MARI Coconut breeding programme - Grace Chipungahelo b4fa
 
Value chain analysis of grain legumes in East and Southern Africa
Value chain analysis of grain legumes in East and Southern Africa Value chain analysis of grain legumes in East and Southern Africa
Value chain analysis of grain legumes in East and Southern Africa africa-rising
 
Genetic diversity of Brachiaria grass in East Africa as revealed by single se...
Genetic diversity of Brachiaria grass in East Africa as revealed by single se...Genetic diversity of Brachiaria grass in East Africa as revealed by single se...
Genetic diversity of Brachiaria grass in East Africa as revealed by single se...ILRI
 
Millet research status and breeding program mes in Nepal
Millet research status and breeding program mes in NepalMillet research status and breeding program mes in Nepal
Millet research status and breeding program mes in Nepalhari paneru
 

Similar to Characterization of Genetic Diversity of Conserved Germplasm (20)

Unlock the genetic potential of rice from Africa for sustainable agriculture ...
Unlock the genetic potential of rice from Africa for sustainable agriculture ...Unlock the genetic potential of rice from Africa for sustainable agriculture ...
Unlock the genetic potential of rice from Africa for sustainable agriculture ...
 
Update on West Africa- Banana and Plantain Program
Update on West Africa- Banana and Plantain ProgramUpdate on West Africa- Banana and Plantain Program
Update on West Africa- Banana and Plantain Program
 
Germplasm collections,conservation, health documentation and distribution
Germplasm collections,conservation, health documentation and distributionGermplasm collections,conservation, health documentation and distribution
Germplasm collections,conservation, health documentation and distribution
 
Advances breeding of Banana
 Advances breeding of Banana Advances breeding of Banana
Advances breeding of Banana
 
Genetic diversity of Napier Grass (Pennisetum purpureum Schumacher) germplasm...
Genetic diversity of Napier Grass (Pennisetum purpureum Schumacher) germplasm...Genetic diversity of Napier Grass (Pennisetum purpureum Schumacher) germplasm...
Genetic diversity of Napier Grass (Pennisetum purpureum Schumacher) germplasm...
 
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
TLIII: Tropical Legumes I – Improving Tropical Legume Productivity for Margin...
 
Bananas
BananasBananas
Bananas
 
Centres of origin biodiversity and its significance
Centres of origin  biodiversity and its significanceCentres of origin  biodiversity and its significance
Centres of origin biodiversity and its significance
 
Crop plants genetic and genomic resources
Crop plants genetic and genomic resourcesCrop plants genetic and genomic resources
Crop plants genetic and genomic resources
 
Characterization of farmer’s exploratory landrace sorghum collections from no...
Characterization of farmer’s exploratory landrace sorghum collections from no...Characterization of farmer’s exploratory landrace sorghum collections from no...
Characterization of farmer’s exploratory landrace sorghum collections from no...
 
Harnessing the genetic diversity of goats to improve productivity in Africa
Harnessing the genetic diversity of goats to improve productivity in Africa Harnessing the genetic diversity of goats to improve productivity in Africa
Harnessing the genetic diversity of goats to improve productivity in Africa
 
Harnessing University-NARI partnership to Develop Stress Tolerant and Nutrien...
Harnessing University-NARI partnership to Develop Stress Tolerant and Nutrien...Harnessing University-NARI partnership to Develop Stress Tolerant and Nutrien...
Harnessing University-NARI partnership to Develop Stress Tolerant and Nutrien...
 
B4FA 2012 Tanzania: MARI Coconut breeding programme - Grace Chipungahelo
B4FA 2012 Tanzania: MARI Coconut breeding programme - Grace Chipungahelo B4FA 2012 Tanzania: MARI Coconut breeding programme - Grace Chipungahelo
B4FA 2012 Tanzania: MARI Coconut breeding programme - Grace Chipungahelo
 
Value chain analysis of grain legumes in East and Southern Africa
Value chain analysis of grain legumes in East and Southern Africa Value chain analysis of grain legumes in East and Southern Africa
Value chain analysis of grain legumes in East and Southern Africa
 
Genetic diversity of Brachiaria grass in East Africa as revealed by single se...
Genetic diversity of Brachiaria grass in East Africa as revealed by single se...Genetic diversity of Brachiaria grass in East Africa as revealed by single se...
Genetic diversity of Brachiaria grass in East Africa as revealed by single se...
 
Millet research status and breeding program mes in Nepal
Millet research status and breeding program mes in NepalMillet research status and breeding program mes in Nepal
Millet research status and breeding program mes in Nepal
 
5 Robinburuchara Pabra
5 Robinburuchara Pabra5 Robinburuchara Pabra
5 Robinburuchara Pabra
 
Breeding techniques for mango banana grapes
Breeding techniques for mango banana grapesBreeding techniques for mango banana grapes
Breeding techniques for mango banana grapes
 
Progress and Achievements in the Genetic Enhancement and Breeding of Cassava ...
Progress and Achievements in the Genetic Enhancement and Breeding of Cassava ...Progress and Achievements in the Genetic Enhancement and Breeding of Cassava ...
Progress and Achievements in the Genetic Enhancement and Breeding of Cassava ...
 
Development and Evaluation of Yellow fleshed Cassava clones in Tanzania,Ugand...
Development and Evaluation of Yellow fleshed Cassava clones in Tanzania,Ugand...Development and Evaluation of Yellow fleshed Cassava clones in Tanzania,Ugand...
Development and Evaluation of Yellow fleshed Cassava clones in Tanzania,Ugand...
 

More from International Institute of Tropical Agriculture

More from International Institute of Tropical Agriculture (20)

Make your research visible and create more impact using DataCite DOIs
Make your research visible and  create more impact using  DataCite DOIsMake your research visible and  create more impact using  DataCite DOIs
Make your research visible and create more impact using DataCite DOIs
 
Induction of early flowering in cassava through light supplementation and CM...
Induction of early flowering in cassava  through light supplementation and CM...Induction of early flowering in cassava  through light supplementation and CM...
Induction of early flowering in cassava through light supplementation and CM...
 
Producing yam mother plants to collect vines for propagation
Producing yam mother plants to collect  vines for propagationProducing yam mother plants to collect  vines for propagation
Producing yam mother plants to collect vines for propagation
 
Effects of moult and breeding on the body condition of some forest birds in s...
Effects of moult and breeding on the body condition of some forest birds in s...Effects of moult and breeding on the body condition of some forest birds in s...
Effects of moult and breeding on the body condition of some forest birds in s...
 
Conserving Nigeria’s rarest endemic bird: Ibadan Malimbe, Malimbusibadanensis
Conserving Nigeria’s rarest endemic bird: Ibadan Malimbe, MalimbusibadanensisConserving Nigeria’s rarest endemic bird: Ibadan Malimbe, Malimbusibadanensis
Conserving Nigeria’s rarest endemic bird: Ibadan Malimbe, Malimbusibadanensis
 
Cassava brown streak epidemiology in Eastern Democratic Republic of the Congo
Cassava brown streak epidemiology in Eastern Democratic  Republic of the CongoCassava brown streak epidemiology in Eastern Democratic  Republic of the Congo
Cassava brown streak epidemiology in Eastern Democratic Republic of the Congo
 
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
 
9 osunbade identification of end users preferences of a cassava product
9 osunbade identification of end users preferences of a cassava product9 osunbade identification of end users preferences of a cassava product
9 osunbade identification of end users preferences of a cassava product
 
7 helen ufondu perception of yam landraces quality among value chain actors i...
7 helen ufondu perception of yam landraces quality among value chain actors i...7 helen ufondu perception of yam landraces quality among value chain actors i...
7 helen ufondu perception of yam landraces quality among value chain actors i...
 
8 kazeem quality attributes and consumer acceptability of cookies flavoured
8 kazeem quality attributes and consumer acceptability of cookies flavoured8 kazeem quality attributes and consumer acceptability of cookies flavoured
8 kazeem quality attributes and consumer acceptability of cookies flavoured
 
6 anajekwu ekpereka chemical, functional and pasting properties of flours pro...
6 anajekwu ekpereka chemical, functional and pasting properties of flours pro...6 anajekwu ekpereka chemical, functional and pasting properties of flours pro...
6 anajekwu ekpereka chemical, functional and pasting properties of flours pro...
 
5 seun olowote effect of drying method on caroteniod content of yellow maize
5 seun olowote effect of drying method on caroteniod content of yellow maize5 seun olowote effect of drying method on caroteniod content of yellow maize
5 seun olowote effect of drying method on caroteniod content of yellow maize
 
4 ayodele adenitan survey of dried plantain (musa paradisiaca) chips processo...
4 ayodele adenitan survey of dried plantain (musa paradisiaca) chips processo...4 ayodele adenitan survey of dried plantain (musa paradisiaca) chips processo...
4 ayodele adenitan survey of dried plantain (musa paradisiaca) chips processo...
 
2 akin olagunju does crop diversification influenc e food and nutrition secur...
2 akin olagunju does crop diversification influenc e food and nutrition secur...2 akin olagunju does crop diversification influenc e food and nutrition secur...
2 akin olagunju does crop diversification influenc e food and nutrition secur...
 
3 akinsola carotenoid apparent retention in ogi flour made from different pro...
3 akinsola carotenoid apparent retention in ogi flour made from different pro...3 akinsola carotenoid apparent retention in ogi flour made from different pro...
3 akinsola carotenoid apparent retention in ogi flour made from different pro...
 
1 pearl amadi assessing the level of consumption of pro vitamin a cassava pr...
1 pearl amadi assessing the level of consumption of pro  vitamin a cassava pr...1 pearl amadi assessing the level of consumption of pro  vitamin a cassava pr...
1 pearl amadi assessing the level of consumption of pro vitamin a cassava pr...
 
Prof janice olawoye
Prof janice olawoyeProf janice olawoye
Prof janice olawoye
 
Inqaba biotech presentation
Inqaba biotech presentationInqaba biotech presentation
Inqaba biotech presentation
 
Iarsaf symposium adaptation to climate change
Iarsaf symposium adaptation to climate changeIarsaf symposium adaptation to climate change
Iarsaf symposium adaptation to climate change
 
Bimaf iita iarsaf presentation-ibadan 21.05.19
Bimaf  iita iarsaf presentation-ibadan 21.05.19Bimaf  iita iarsaf presentation-ibadan 21.05.19
Bimaf iita iarsaf presentation-ibadan 21.05.19
 

Recently uploaded

Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsAndrey Dotsenko
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 

Recently uploaded (20)

Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 

Characterization of Genetic Diversity of Conserved Germplasm

  • 1. Characterization of Genetic Diversity of Conserved Germplasm A major component of IITA’s Research Portfolio Outline 1. Why to assess genetic diversity? 2. How IITA does it? 3. Case studies Crops: - Yam - Cowpea - Bananas (Banana & Plantain) - Bambara groundnut - Maize - African yam bean By Irie Vroh Bi
  • 2. 1. Why to assess genetic diversity? -From domestication to selection to improvement, farmers have relied on genetic variation for thousands of years. -Genetic diversity gives species the ability to adapt to changing environments, including new pests, new diseases and new climatic conditions. -Efficient conservation of germplasm depends on the understanding of the available diversity. -Efficient utilization of germplasm by breeders depends on the understanding of the extent, nature and structure of the available genetic diversity. Conservation of a diversity in crop species, varieties and wild relatives and efficient utilization are key to our survival Need to assess and understand crop genetic diversity
  • 3. 2. How IITA does it? 1. Morphological characterization: morphological and agronomical descriptors 2. Molecular characterization: Molecular markers (Biotech Ibadan & BECA, Nairobi) -Simple Sequence Repeat (SSR) -Amplified Fragment Length Polymorphism (AFLP) -Single Nucleotide Polymorphism (SNP) -Diversity Array Technology (DArT) -IITA uses available DNA markers -IITA in collaboration with partners participates in developing new molecular markers -Molecular analyses are performed in house or outsourced 3. Cytogenetic characterization : ploidy analysis
  • 4. Morphological characterization Bambara groundnut: 391 accessions characterized using 39 descriptors Bananas: ~200 accessions characterized with 50 descriptors African yam bean: 152 accessions Characterized using 62 descriptors
  • 5. Germplasm characterization Crops Number Characterization descriptors Cowpea 46 Completed Core/Minicore Bambara 39 Completed Core Yam 125 Completed Core Cassava 42 Partial In progress Soybean 6 Partial Wild vigna 70 Partial In progress Bananas 50 Completed core Maize 0 Started
  • 6. Assessment of genetic diversity of yam germplasm with DNA markers -Yam (Dioscorea sp): multi-species, polyploid and vegetatively propagated -Over 90% of world yam production comes from West and Central Africa -Farmers continue to grow local landraces that are low in productivity -IITA holds >3000 landrace accessions from several African countries -Identification of suitable diverse parents is key to breeding -A core subset of 391 accessions characterized by IITA based on morphological characteristics -The core collection comprising six economically important species. -Analysis of the core for inter- and intra-specific variability using 23 SSR markers
  • 7. D. alata (red) D. bulbifera (purple) D. cayenensis (yellow) D. dumentorum (ash) D. esculenta (blue) D. rotundata (green) -Results generally consistent with established taxonomical relationships -High level of genetic variation in core germplasm -Greater resolution of genetic relationships among and within species Valuable information for trait mapping and breeding in yam Figure 1. Genetic diversity tree of 342 yam accessions base on SSR data using unweighted neighbour- joining analysis
  • 8. Assessment of genetic diversity of cowpea germplasm with DNA markers -Cowpea (Vigna unguiculata L. ) plays an important nutritional role in tropical and subtropical regions (e.g. Sub-Saharan Africa) -High protein content “~20%” (cowpea is recognized as the poor man’s meat) -Cowpea forage is also used to feed livestock -IITA maintains 15,000 accessions of cowpea -A core collection of 2000 accessions was selected based on morphological characterization -Subsets of the core collection were analyzed further using molecular markers to make a mini core of more than 300 accessions -Subsets of the mini core are often drawn for further analyses
  • 9. Diverse geographical origins covered in Sub-Saharan Africa Nigeria, Niger, Cameroon, Ghana,Senegal, Zambia, Malawi, Swaziland, Chad, Tanzania, Keyna, Mozambique, Zimbabwe, Congo, Botswana 48 wild cowpeas assessed using 12 SSR markers Gel electrophoregram of SSR primer VM27 showing amplifications with forty eight wild cowpea From the analysis of number of alleles, marker polymorphic information content (PIC) and clustering: -Three subspecies, dekindtiana, pubescens and rhomboidea were recognized -Others were recognized as varieties of dekindtiana except mensensis -Southern Africa region is a likely center of diversity of wild cowpeas -Nine SNP markers were also used to assess the diversity of the subset
  • 10. Genetic diversity in yard-long bean (Vigna unguiculata subspecies unguiculata cv-gr sesquipedalis) -50 accessions analyzed with 16 SSR primers -68 polymorphic bands produced -Accessions of yard-long-bean from India showed the highest level of genetic diversity -The results support the suggestion that India is a likely center of diversity Development of genomic resources for diversity analysis, mapping and marker assisted breeding in cowpea IITA in collaboration with UCR, GCP and others
  • 11. Molecular analysis of genetic diversity of Maize Sample study in a collaborative GCP funded project (IITA, France, Kenya, China, India, Indonesia, Thailand, Vietnam, and Philippines) Objective 1: Assess the global maize diversity (previous studies targeted Latin and North American and European germplasm only) Objective 2: Compare genotyping procedures from different laboratories -237 landraces (Asia, Africa and Latin America). 10 teosinte accessions (Northern and Central America) and six CIMMYT maize lines were used - 80 African landraces provided by IITA and analyzed with 51 SSR markers -The diversity within maize landraces was extensive - Up to 36% of alleles were unique to teosintes
  • 12. Caribbean - Cuba 2 Central America - Guatemala Central America - Mexico Eastern Africa - Ethiopia Eastern Africa - Kenya Eastern Africa - Malawi Eastern Africa - Somalia 1.5 Eastern Africa - Uganda Eastern Africa - Zambia Eastern Africa - Zimbabwe Eastern Asia - China Eastern Asia - Japan Middle Africa - Angola Middle Africa - Chad 1 Middle Africa - Congo North America - Canada North America - USA Northern Africa - Algeria Northern Africa - Egypt Northern Africa - Morocco 0.5 Northern Africa - Sudan Oceania - Australia South America - Argentina South America - Bolivia South America - Brazil South America - Chilie 0 South America - Colombia -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 South America - Ecuador South America - Paraguay South America - Peru South America - Peru South America - Venezuela -0.5 South-Eastern Asia - Indonesia South-Eastern Asia - Philippines South-Eastern Asia - Thailand South-Eastern Asia - Vietnam Southern Africa - South Africa Southern Asia - Afghanistan Southern Asia - India -1 Southern Asia - Nepal Southern Asia - Pakistan Teosinte Western Africa - Benin Western Africa - Burkina Faso Western Africa - Ghana -1.5 Western Africa - Guinea Western Africa - Mali Western Africa - Niger Comparison to data gathered from collaborators indicated that data from IITA was of good quality
  • 13. Molecular analysis of genetic diversity in bananas (banana & plantain) -Bananas (Musa spp.) are major food crops in tropical and subtropical regions -Major cultivars are triploid (AAA, AAB and ABB genomes) with high sterility levels -Wild species are highly diverse genetically and fertile -IITA maintains cultivated and wild accessions (in vitro and field germplasm) -Diversity analysis in the wild diploids to group and use the most diverse -Done with SSR analysis -Diversity analysis in the triploid landraces for association mapping -Done with SSR and AFLP markers -Diversity in mapping populations (also conserved in vitro) -Done with SSR, AFLP, DArT and SNP markers Markers specific to Musa genomes A genome B genome Reproducible PCR markers differentiating the A from the B genome in a diversity panel
  • 14. EMS treatment to induced mutations in vitro The most preferred cultivars are evolutionary dead end Plantain Agbagba (AAB) Cooking banana Bluggoe (ABB) -Meristems treated with various concentrations of EMS -Duration of treatment from 2 hours to 72 hours -In vitro culture of meristems and acclimatation EMS treated plants transferred to the field for evaluation of phenotypes and agronomic traits Collaboration with IAEA?
  • 15. Analysis of somaclonal variations in IITA germplasm -Genetic integrity is of primary importance in germplasm conservation, plant breeding, and in the adoption of new varieties -IITA conserves vegetatively propagated crops in its in vitro Genbank -The germplasm is maintained over years and distributed to national and international requesters -Unexpected variations can occur during in vitro propagation (somaclonal) to generate off-types with or without agronomic value -It is critical to track those variations and to possibly link them to traits
  • 16. Characterization of somaclonal variations in banana germplasm 2nd round amplification of variant band by PCR -In vitro culture & -Appropriate molecular techniques Sequencing -Potential functions of the variation assessed -Sequences registered in public genomic databases Examples: GenBank Acc# ET165586 to ET165601 (US_NCBI) -Plants tagged & transferred to the field to link genomic variations to phenotypes -Applying the procedure to other IITA Sequence of a variant fragment in Bluggoe (ABB genome) mandate crops (e.g. Yam)
  • 17. IITA participates to international efforts to generate genomic resources useful for diversity analysis, mapping and functional genomics Cowpea • Over 40,000 ESTs sequenced from cowpea drought differential cDNA libraries • 17,000 unique contiguous and single sequences yielded • Over 5000 potential new markers identified – 3226 single nucleotide polymorphisms – 1806 microsatelite markers • Microarray chip under manufacture Bananas • 5494 ESTs sequenced from musa drought differential cDNA libraries, combined with existing consortia data • 32,000 unique contiguous and single sequences yielded • Over 30000 potential new markers identified – 28800 single nucleotide polymorphisms – 1937 microsatelite markers Participation to generating DArT arrays in IITA mandate crops -Bananas -Yam
  • 18. Characterization of germplasm by Cytogenetics -Two flow cytometers (Nigeria and Uganda) -Ploidy analysis in yam, cassava, bananas, Cowpea and other orphan crops -Throughtput of 100 samples a day CV-Accessions File # Ploidy CV-Accessions File # Ploidy D. rotundata 907 4x Balbisiana-selfed2 310 2x D. rotundata 927 4x Balbisiana-selfed3 317 2x D. rotundata 929 4x Balbisiana-selfed4 301 2x D. cayenensis 908 8x Balbisiana-selfed5 320 2x D. cayenensis 909 8x Balbisiana-selfed6 389 2x D. cayenensis 910 8x Balbisiana-selfed7 302 2x D. cayenensis 911 8x Balbisiana-selfed8 330 2x D. cayenensis 912 8x Balbisiana-selfed9 303 2x D. cayenensis 916 8x Balbisiana-selfed10 340 2x
  • 19. Acknowledgments: -Morphological description of Germplasm: Dr. Dumet D. -Molecular analysis of Yam : Dr. Asiedu R. -Analysis of Bananas: Dr. Vroh B. I. -Cowpea analysis by SSR markers: Dr Fatokun C. -Maize analysis by SSR markers: Dr. Hearnes S. -Cytogenetics-ploidy analysis: Dr. Vroh B. I. -Generating genomic resources (Cowpea, bananas): Dr. Hearnes S. -Participating to DArT markers activities: Dr. Vroh B. I. -Several Donors -Several collaborators (NARS, ARIs) -Several students and national partners trained (List available with scientists mentioned above) THANK YOU