biotech and potatoes what does the future hold

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    Biotech and Potatoes: What

    does the future hold?

    Dave Douches and C. Robin BuellMichigan State University

    Walter De Jong

    Cornell University

    Using Plant Genomics to Meet the Needs of

    the 21stCentury

    How to Meet the Challenges of Crop Producton

    The Green Revolution in the 20th century was due tothe introduction of high yielding varieties using

    conventional breeding approaches coupled with the

    use of fertilizer and pesticides

    Norman Borlag: 1970 Nobel Peace Price Winner: Using

    conventional breeding developed new strains of

    Wheat that were high yielding. This then was applied to

    rice and maize (corn)

    One Few

    Traits at a time

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    A genome is the complete gene

    content of an organism

    Understanding the potatos genetic map, or

    genome, will be a key component to genetic

    improvements of potato varieties

    For example, the Human Genome Project is

    finding the genes responsible for cancer,

    diseases, and other disorders

    For potato, we can conduct analogous research

    Agricultural researchers have new tools to

    solve problems

    Genomics is the study of whole genome of

    the organism

    Genomics is resulting in a major paradigm

    shift in biological research due to:

    Having access to the entire gene complement

    of an organism rather than a few genes

    Scale at which experiments can be done Genomics has the power to make a major

    impact in improvement of agriculture

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    Important Tool for Research: The

    Potato Genome Sequence

    The Potato Genome Sequencing Consortium

    (PGSC) is an international group of scientists

    that have collaborated to sequence the

    genomes of two species potato: Solanumtuberosum and Solanum phureja.

    Wheat:

    16,000 Mb

    Arabidopsis

    130 Mb

    John Doe

    2,500 Mb

    5 Mb

    Rice:

    430 Mb

    What other genomes havebeen sequenced?

    Potato

    850 Mb

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    Benefits of the Accessing the

    Potato Genome

    The Potato Genome Sequencing Consortium is

    working to identify (annotate) all of the genes in

    the potato genome

    The sequencing of the potato genome will

    provide a major boost to gaining a better

    understanding of potato trait biology and will

    underpin future breeding efforts

    Access to these genes of the potato will

    allow the use of either conventional breeding

    methods or genetic engineering to try tocreate better potato varieties.

    Annotation: to make or furnish critical or explanatory notes or

    comment. Merriam Websters Collegiate Dictionary

    -Annotation of genomes is driven by computers and human

    interpretation

    -Created new discipline of science: Bioinformatics = merge of

    computer science with biology

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    Further Benefits of the

    Accessing the Potato Genome

    Overcome many negative aspects of potato as agenetic system (tetraploidy) using bioinformatics

    Facilitate gene isolation and allow molecular

    geneticists to accelerate trait gene discovery

    Use a gene from tomato to locate a gene in potato

    Radical effects on efficiency of breeding improved

    potato varieties with genetic markers (SNPs)

    Enhance our ability to identify the desirable variants ofgenes underlying important traits such as starch, sugar,

    disease resistance, and nutrient content

    Single-nucleotide polymorphism(SNP, pronounced snip)

    SNP is a DNA sequence variation occurring when

    a single nucleotide A, T, C, or G in thegenome differs between members of a species

    Single-nucleotide polymorphisms may

    fall within coding sequences of genes,

    non-coding regions of genes, or in the

    intergenic regions between genes.

    SNPs within a coding sequence may or

    may not change the amino acid

    sequence of the protein that is produced.

    What is a SNP?What is a SNP?

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    Why does a breeder use

    genetic markers?

    A genetic marker linked to a trait of

    interest, can be used to select indirectly for

    the marker rather than the trait.

    This is valuable when the trait is:

    Multigenic (specific gravity)

    Hard to select for at early stages of breeding

    Expensive to screen for (nematodes, asn)

    Needed to be combined or pyramided (LB)

    Controlled by a recessive gene

    Use of markers can make breeding more

    efficient and more effective.

    For breeders to link markers to

    traits

    Need to develop populations in which the

    trait is segregating so that it can be

    genetically mapped.

    Need enough genetic markers to make the

    process worthwhile.

    Needs to cost effective and time efficient

    Best if the marker is in the geneinfluencing the trait.

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    The challenge of mapping key alleles in

    economically relevant (elite) 4x potato germplasm

    Number of genetic markers needed to construct a

    useful genetic map in tetraploid potato is more

    than twice number of markers needed for diploid

    potato

    How many SNPs are needed for routine mappingHow many SNPs are needed for routine mapping

    in 4x crosses?in 4x crosses?

    A function of desired marker density, and allele

    frequency.

    If want one simplex SNP every 10 cM 800

    markers theory predicts we need 2000 SNPs or

    more.

    SolCAPSolCAP Primary Research Objective forPrimary Research Objective forPotatoPotato

    Developing SNP Markers in Elite Germplasm for PotatoBreeding application

    Identify 10,000 SNPs in elite potato germplasm The Illumina 10K potato chip was created from SolCAP SNPs

    Use the SNPs to genotype with Illuminas

    Infinium platform, both diverse elite

    germplasm and bi-parental mapping

    populations

    FundingThis project is supported by the Agriculture and Food

    Research Initiative Applied Plant Genomics CAP

    Program of USDAs National Institute of Food and

    Agriculture

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    Using Bioinformatic SNPs wereUsing Bioinformatic SNPs were IDedIDed inin

    some key candidate genessome key candidate genes

    Sucrose-phosphate-synthase 20

    Soluble starch synthase 3, chloroplastic/amyloplastic 18

    Acid invertase 16

    Granule-bound starch synthase 2,

    chloroplastic/amyloplastic 10

    Glucose-6-phosphate isomerase 10

    Sucrose sythase 10

    Isoamylase isoform 2 8

    Sucrose transporter 8

    Beta-amylase 6

    Sucrose synthase 6

    Granule-bound starch synthase 1 6

    Phosphoglucomutase 6

    With Bioinformatics we can develop anWith Bioinformatics we can develop an

    effective genomeeffective genome--wide set of SNPwide set of SNPmarkersmarkers

    SpacingSpacing and gene region coverageand gene region coverage

    2769 SNPs in candidate genes

    508 SNPs in genetic markers

    6723 SNPs from throughout the genome

    How much of the genome is represented?

    ~650 Mb of the genome (of ~ 850 Mb genome)

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    SolCAP SNP GenotypingSolCAP SNP Genotyping

    Currently SolCAP is SNP genotyping 1,152 potatolines with 8,303 functioning SNPs (Potato SNPchip)

    potato germplasm panel: 325 clones

    4x russet mapping population: 200 clones

    2x mapping population: 94 clones

    Community SNP genotyping:

    2 populations: 350

    Primary benefit of the Potato SNP chipPrimary benefit of the Potato SNP chip

    Potato genotyping, especially

    at 4x level, is now simple and

    quick

    isolate DNA

    send it to genotyping center

    receive a LOT of marker data in

    a week (a 3-day lab procedure)

    a 4x cross for mapping

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    PairPair--wise Comparison of SNPswise Comparison of SNPs

    W2310-3 x Kalkaska 4X 22.4 37.6 40.0

    MSG227-2 x Jacqueline Lee 4X 16.5 51.8 31.8

    Atlantic x Superior 4X 5.9 51.8 42.4

    Stirling x 12601ad1 4X 25.9 37.6 36.5

    B1829-5 x Atlantic 4X 11.5 18.8 69.8

    BER 63 x DM1-3 2X 79.3 20.7 0

    BER 83 x DM1-3 2X 78.8 21.2 0

    84SD22 x DM1-3 2X 46.0 54.0 0

    MCR205 x DM1-3 2X 76.7 23.3 0

    DI x DM1-3 2X 85 15 0

    08675-21 x 09901-01 2X 53.8 46.2 0

    RH x SH 2X 59 41 0

    zI = segregation not dependent on scoring dosage; II = segregation dependent on

    scoring dosage

    What makes up the PotatoWhat makes up the Potato GermplasmGermplasm PanelPanel

    Phenotypic Evaluation?Phenotypic Evaluation?

    ClonalClonal Study (CS)Study (CS)

    250 clones

    2 reps X 10 hills

    OR, WI, NY

    Russet Mapping Population (MP)Russet Mapping Population (MP)

    Rio Grande X Premier Russet

    200 progeny

    2 reps X 10 hills

    ID, NC, MN

    CSCS CS

    MP

    MP

    MP

    States in blue = Participants in SolCAP

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    Potato Germplasm PanelPotato Germplasm Panel

    ClonalClonal Study (325 clones)Study (325 clones) Top 50 N. American varieties

    Historical varieties

    Advanced breeding clones

    from every US and Canadian

    program

    Non-American germplasm

    Genetic stocks

    AnalysesAnalyses

    Association mapping

    Parental selection

    Resolve population structure

    Phenotypic evaluationPhenotypic evaluation Key traits: specific gravity,

    sucrose, glucose, Vitamin C,maturity, tuber shape, tuber

    number, etc.

    Additional traits determined bybreeding community

    Data curated at SGN

    Traits being evaluated within SolCAP10 plant plots, two replicates

    specific gravity chip color after cold storage sucrose/glucose

    skin texture tuber shape (l/w/h) eye depth skin color, flower color

    flesh color vine maturity (95, 120 dap) growth habit (prostrate, erect, etc) total yield heat sprouts internal defects

    The key three

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    Traits being mapped in other

    populations

    Chip color

    Reducing sugar

    Specific gravity

    Scab resistance

    Late blight resistance

    Vine maturity

    Asparagine concentration in tubers

    Acrylamide formation in chips

    More

    SolCAP is creating databases

    for breeders

    A database is being developed for the

    breeders to access the genetic information

    in alignment with the trait data being

    collected across multiple environments.

    The breeders will be able to more

    effectively map traits of interest and designbreeding methods that will improve their

    ability to combine or enhance traits

    through selection

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    Do we stand a realistic chance

    of detecting useful marker-trait

    associations?

    Where we are evaluating 220+

    potato clones with 8000+ markers

    221 tetraploid potato clones x 250 AFLP markers

    >> 69 markers associated with 11 traits (P

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    Whole-Genome Genotyping:

    The Infinium Assay

    Infinium HD iSelect BeadChips

    iSelect is the custom chip

    Scalable from 10,000 SNPs per sample

    Unique oligo for each bead type

    Bead Pool is 250,000 bead types

    Random self-assembly of beads

    Average 15 to 30 beads of each type

    Three day lab procedure

    No gels in the lab (old school thinking)

    http://www.illumina.com/technology/infinium_hd_assay.ilmn

    2828

    12 and 24 sample HD (2 M) Infinium products

    CytoSNP-12

    PorcineSNP60

    OvineSNP50

    iSelect custom(60,801-

    200,000+

    attempted

    beadtypes)

    BovineSNP50

    MaizeSNP50

    iSelect custom (3,000-

    60,800 attempted

    beadtypes)

    BovineHD8 sample chip

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    2929

    Illuminas Core BeadArray Technology

    3030

    Image

    C C G A TT

    INTENSITY

    INTENSITY

    INTENSITY

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    Genome Studio Software

    http://www.illumina.com/software/genomestudio_software.ilmn

    Diploid Segregation

    Black = Parents (AA x BB)

    Red = Population (all AB)

    Black = Parents (AB x BB)

    Red = Population (1:1 AB:BB)

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    Genome Studio Software

    Designed for use with diploid populations

    Clusters are called as AA, AB, BB

    Potato is tetraploid with at least 5 marker

    classes

    AAAA, AAAB, AABB, ABBB, BBBB, also nulls

    (i.e. AAA)

    http://www.illumina.com/software/genomestudio_software.ilmn

    Good 5 Cluster Markers

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    Tetraploid Segregation

    Yellow = Parents (AABB x BBBB)Red = Population (1:4:1 AABB:AAAB:BBBB)

    Yellow = Parents (AABB x AABB)Red = Population (1:8:18:8:1

    AAAA:AAAB:AABB:AAAB:BBBB)

    Cross

    Duplex x Duplex 10 10

    Duplex x Nulliplex 2 4

    Duplex x Simplex 11 22

    Nulliplex x Duplex 2

    Nulliplex x Nulliplex 28 28

    Nulliplex x Simplex 6 14

    Simplex x Duplex 11

    Simplex x Nulliplex 8

    Simplex x Simplex 11 11

    Simplex x Het 5 5

    Total 94 94

    SNP segregation in 4x RussetSNP segregation in 4x Russet

    Mapping population (Premier x Rio Grande)Mapping population (Premier x Rio Grande)

    94 SNPs evaluated:

    30% were Aaaa x aaaa

    8% were AAaa x aaaa

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    Ideal Marker

    Diploid mapping population

    Yellow Samples = ParentsRed Samples = Population

    Tetraploid mapping population

    Yellow Samples = ParentsRed Samples = Population

    This marker is ideal of both 2x and 4x germplasm. The 2x AA cluster

    overlaps the 4x AAAA cluster, the 2x AB cluster overlaps the 4x

    AABB cluster, and the 2x BB cluster overlaps the 4x BBBB cluster.

    Next Steps in 2011

    What do we do with all the marker

    data collected?

    MAP QTL

    Training of breeders to use SNP

    technology

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    Outcomes for Breeding fromOutcomes for Breeding from SolCAPSolCAP

    A genomeA genome--wide set of markerswide set of markersandand bioinformaticbioinformatic toolstoolsaccessible by breedersaccessible by breeders

    Breeders will access germplasmfor crossing based upon SNPpolymorphism and linked QTL ofinterest

    Design crosses complementary for

    QTL and traits, and then usemarker assisted breeding.

    Outcomes for Breeding fromOutcomes for Breeding from SolCAPSolCAP Better understanding of theBetter understanding of the

    allelic variation influencingallelic variation influencingcarbohydratescarbohydrates

    Design crosses to createimproved sugar and starchlevels and starch quality.

    Crosses to manipulate andselect variation within existingelite populations or introgress

    novel alleles from wildgermplasm.

    More predictable and directedbreeding effort for processingand fresh market traits.

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    Visit us at http://solcap.msu.edu/