Mobilizing wheat gene bank variation to breeding pipeline

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Prashant Vikram CRP Wheat Representative CIMMYT Genetic approaches for mobilizing gene bank variation

Transcript of Mobilizing wheat gene bank variation to breeding pipeline

  • Prashant VikramCRP Wheat Representative

    CIMMYT

    Genetic approaches for mobilizing gene bank variation

  • Why we need gene bank ?

    Utilizing gene bank biodiversity could be one way to enhance productivity of wheat

    Rht1 & 2: Japanese dwarf landrace wheat Daruma Rht 8 : Japanese landrace Akakomugi

  • 1. WHEAT GENE BANK

    Generation advancement

    Field evaluation

    Strategic Crossing

    2. DEVELOPING RESOURCE

    3. UTILIZING RESOURCE: PRE-BREEDING4. MOVING TO NARS BREEDING PIPELINES

    Mobilizing Resource: The Road Map

  • Genetic and Genomic Resource

  • Impact of heat on wheat

    ~ 10% yield loss per 1oC increase in temperature

    By 2050, 20-30% yield loss in South Asia alone, affecting over 1 billion people

    70,000 wheat accessions screened for heat stress tolerance

    Genetic Resource: Evaluation for heat tolerance

    Panel of heat and drought tolerant landraces

  • YR Resistant Landraces

    Genetic Resource: Evaluation for Rust Resistance

    Research on wheat rust during 1961-2009 added to world wheat harvests worth US $1.12 billion per year (at 2010 prices)

    Science, 340:147-148(2013)

    Panel of landraces for yellow rust resistance

  • Evaluated ~15,000 wheat landraces for quality traits

    Nu

    mb

    er o

    f ge

    no

    typ

    es

    Grain zinc concentration (ppm)

    Wheat landrace evaluation for high zinc content

    Genetic Resource: Evaluation for Zinc content

    Panel of landraces for high Zinc

  • Genomic Resource: Segregation distortion on 6B

    Genomic associations identified for rust resistance and yield in three populations

  • H.Li- P.Vikram equal contribution et al. 2015 BMC Genomics

    Vikram et al. Unpublished

    Bi-parental mapping for rust resistance

    using GBS

    Association mapping for rust

    resistance using GBS

    Genomic Resource: Rust Resistance

  • The Mexican Landrace Story

  • Cluster 1

    Cluster 2

    Cluster 5

    Cluster 3

    Cluster 4

    Cluster 6

    NORTH

    CENTRAL

    SOUTH

    T.ASTIEVUM

    T.DURUM

    S.CEREALE

    Cluster 1: Majority of landraces in this group are from central MexicoCluster 2: Majority of landraces in this group are from Northern MexicoCluster 3: Majority of landraces in this group are from southern Mexico and are T. durumCluster 4: Genetic group with accessions from different origin and speciesCluster 5: Group specific to MichoacnCluster 6: Group of Secale cereale only

    Mexican Landrace Story: Diversity Analysis

    Diversity Profiling of 8000 Mexican Landraces

  • Mexican Landrace Story: The Rare Alleles

    Unique rare alleles in Mexican Landraces

  • GBS data PCA + Phenotypic variables

    Hierarchical Multiple Factor Analysis

    6 principal axes (75% geno; 25% pheno)

    29 groups in Iranian LR 21 groups in Mexican LR

    Stratified random sampling using D-method

    Measured diversity by Gowers distance

    Selected core subsets

    Mexican Landrace Story: Core Set

    Landrace core set distributed to South Asia,

    Africa, Mexico & USA

  • Grain yield under heat stress

    -Lo

    g (p

    )

    Chromosomes

    Mexican Landrace Story: GWAS for Heat Tolerance

  • 8000 Mexican landraces

    Phenotype(Heat, Drought, Quality, Irrigated)

    GBS profiling(20K SNPs)

    (A) Diversity analysis (B) Core set development

    (C) Core set evaluation(D) Trait donor identification(E) Use in pre-breeding

    Heat, Drought, Diseases, Quality

    Michoacn: Rare allele hot spot

    Unique and large scale efforts made to move useful wheat gene bank diversity to the NARS breeding pipelines

    Mexican Landrace Story Gene bank to Breeding Pipeline

  • Wheat Pre-Breeding

  • 8,000 advanced lines selected under heat, drought and diseases

    Multi-location evaluation is in progress

    Genetic populations available for accelerating gene discovery

    1000 Linked top cross populations

    Wheat Pre-Breeding @ CIMMYT

    Pre Breeding product

    Exotics = Landraces, SyntheticsElites = CIMMYTs best BW lines

  • x

    Segregating population

    Screening in target environments - Mexico, South Asia, Africa

    Breeding / varietal pipelines

    CIM

    MY

    T

    NA

    RS

    El Batan Diseases, input use

    Rusts, plant typeToluca

    H, D, YieldObregon

    Selection

    FARMERS

    Exoticssynthetics, landraces, FIGS

    Elite

    Pre-Breeding @ CIMMYTThe Delivery Path

  • Kevin Pixley Director GRP

    Sukhwinder-Singh SeeD Wheat LeadCarolina SansaloniCarolina Saint-PierreKate Dreher

    GRPHans Braun Director GWPRavi Singh: Germplasm enhancementTom Payne: wheat genebankMatthew Reynolds: heat/droughtPawan Singh: DiseasesJavier Pea: QualityDeepmala: Molecular biologyIvan Ortz-Monasterio: P efficiency

    GWP

    BSU: Juan, J. Crossa, H. Li

    We acknowledge all researchers at CIMMYT or elsewhere who have contributed directly or indirectly to this project

    CIMMYT & Mexican Partners

  • gracias!

    tak

    dank u

    salamatmerci

    danke

    takk

    Thank YOU for Your Support

    kiitos

    grazie

    na-ekele unuobrigado

    dankie

    tack

    teekkr ederim