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Ion PGM™ & Ion Proton™ Systems and
  Applications
  November 2012

   Visit the Life Technologies website for more information.




Life Technologies™ | 1


The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Ion Torrent
Founded in 2007 by Jonathan Rothberg
   − Pioneered next gen sequencing
   − Founder of 454, CuraGen, Raindance


Acquired by Life Technologies in Jul 2010

Over 250 chemists, molecular biologists,                                                                                                   MA
engineers, software developers and                                                                               CA
                                                                                                                                          CT
bioinformaticists across 5 R&D sites                                                                                                 TX

First PostLight™ sequencing technology
launched in Dec 2010 (Ion PGM™ System)

First Postlight™ genome-scale sequencer
shipped in Sep 2012 (Ion Proton™ System)

Life Technologies™ | 2
 2

The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Direct Detection of Hydrogen Ions and Conversion to
an Electrical Signal Read by a Transistor Substrate



                                        dNTP

                                                                     H+

                                                                               ∆ pH
                                                                                ∆Q

                                                     Sensing Layer
                                                     Sensor Plate

                                                                                ∆V

                                        Bulk       Drain       Source                 To column
                                                   Silicon Substrate                  receiver

                                                                                                            Rothberg J.M. et al Nature doi:10.1038/nature10242




Life Technologies™ | 3


The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Ion Semiconductor Sequencing Systems:




                              PGM™ for Genes. Proton™ for Genomes.
                                        Sequencing for All.
                                        For more information, visit lifetechnologies.com/ionsequencing

Life Technologies™ | 4


The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Ion PGM™ and
                OneTouch™ 2 Systems with 3-Series Chips
                                                                                                                       Ion 318™ Chip




                                                                                                      Ion 316™ Chip




                                                                                     Ion 314™ Chip




                                                     Ion PGM™ Chip                                 Ion User                           Q20 bases
 External Performance                                          314                                 Rmease                            143,516,106
 Well Beyond Spec
 (Ion Community                                                316                                Corebotz                           786,016,516
 RecogntION Runs)                                              318                                     Wtr                           1,275,271,258
Life Technologies™ | 5


The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Ion Proton™ System
 Bringing Rapid Genome-Scale Sequencing to Every Lab

                                                                                              Runs all Ion P-Series chips


                                                                                              Benchtop system containing
                                                                                               state-of-the-art electronics to
                                                                                               support the highest throughput
                                                                                                     −     Dual 8-core Intel® Xeon® Sandy
                                                                                                           Bridge processors
                                                                                                     −     128 GB of RAM
                                                                                                     −     Dual Altera® Stratix V FPGAs
                                                                                                     −     NVIDIA® Tesla® C2075 GPU
                                                                                                     −     11 TB of hybrid (SSD&HDD) storage
                                                                                                     −     Ubuntu® 11.10 operating system




Life Technologies™ | 6


The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Single Day Workflow with the Fastest Sequencing Runs

         ION LIBRARY                              PREPARE                              RUN                                    ANALYZE
         KITS                                     TEMPLATE                             SEQUENCE                               DATA




               lon Proton™ System
               Sample to results in a single day



        lon Xpress'" Plus                      lon Chef '" System•                           lon Proton
                                                                                                      '"                   Proton'" Torrent Server
      Fragment Library Kits                            or                                    Sequencer
                                            ion OneTouch'" 2 System


 Life Technologies™ I 7

      lrwllrogen    A.!:lpt edBto,pte m   G1bc0        Mott'NI.OrPiobH"      Novu             T qM:III""       Amboon          !onTOO"rent   hnolog1es
 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Ion PI™ Chip for Whole Exomes/Transcriptomes;
              Ion PII™ Chip for Whole Genomes


                                        Ion PI™ Chip                                                   Ion PII™
                                                                                                         Chip
                                      165 M wells
                                                                                                     660 M wells
                                      Up to 10 Gb
                                      Exome                                                Up to 20X human
                                                                                                    genome
                                      60-80M
                                      Filtered Reads                                                 240-320M
                                                                                                Filtered Reads
                                      Up to 200bp reads
                                                                                         Up to 200bp reads
                                      2-4 hours
                                                                                                Runs in Hours



Life Technologies™ | 8


The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Unprecedented Scalability
                                            10,000-Fold From Ion 314™ to Ion PIII™ Chip
                                                                                                                                Transcriptome
                                                Small Genome               Small to Large Gene Panels                                                Human Genome
                                                                                                                                    Exome


                          100G
                                                                                                                                                                    Ion PIII™



                                                                                                                                                         Ion PII™
Sequence Output per Run




                            10G

                                                                                                                                    Ion PI™



                                 1G
                                                                                                      Ion 318™




                              100M

                                                                             Ion 316™



                                 10M

                                             Ion 314
                                                                 from 1.2 Million Sensors …………………to 1.2 Billion Sensors
                          Life Technologies™ | 9


                          The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Simple and Complete Workflows
                        Ion PGM™ System                                                                    Ion Proton™ System




Life Technologies™ | 10
 10
The content provided herein may relate to products that have not been officially released and is subject to change without notice.
lon Semiconductor Sequencing:
                                     Enabling a Breadth of Applications
 SEQU£NC
       ING                S1ALL                  SETS OF                 G£NE EXPRtSSION           WHOLE                 HUMAN              HUMAN
APPLICAnONS               GENOMES                GENES                   CHIP SEQ                  TRANSCRIPTOME         EXOMES             GENOMES




 SEQUENCNG
       I
      OHIPS                                                                                        El     PI                                Pll




Life Technologies™ I 11

     lrwllrogen    A.!:lpt edBto,pte m   G1bc0        Mott'NI.OrPiobH"      Novu             T qM:III""        Amboon         !onTOO"rent   hnologoes
The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Ion Reporter Software Workflow
A secure, hosted informatics infrastructure for routine assays




                       Automated informatics                                                               User interpretation

                           Mapped                                           Annotated                  Confident                 Relevant   Interpretive
  Reads                                             Variants
                           Reads                                             Variants                  Variants                  Variants      Report



Life Technologies™ | 12


The content provided herein may relate to products that have not been officially released and is subject to change without notice.
All products mentioned in this presentation are for research use only and not for
                                             use in diagnostic procedures.

                     All data shown in this presentation was generated by Life Technologies, except
                                                    where indicated

                                  © 2012 Life Technologies Corporation. All rights reserved.
                           The trademarks mentioned herein are the property of Life Technologies
                                 Corporation and/or its affiliate(s) or their respective owners.
Life Technologies™ | 13


The content provided herein may relate to products that have not been officially released and is subject to change without notice.
Fast isogenic mapping-by-
sequencing of EMS-induced
mutant bulks

      Franziska Turck Group Max Planck
      Institute for Plant Breeding Research




                                              14
Presentation Outline

   Introduction to technical and biological
    problem

   Isogenic mapping approach

   Fast mapping using deep candidate
    resequencing (dCARE) with IonPGMTM
                                               15
Mutations in LHP1/TFL2 alter plant
 development

SD/LD



                              lhp1       lhp1 ft


                                                   AG
                                                   SEP3
                                                   AP3
                              WT         lhp1      AP1


               CD     Hinge        CSD


  binds to H3K27me3                                16
LHP1 represses target genes as part
   of Polycomb Repressive Complex 1




                                                           bmi1a; bmi1b
                         BMI1c

                 BMI1b
                                                           Bratzel et al. (2010) Chen
         BMI1a                                             et al. (2010), Olmo et al.
RING1B
                                                           (2010), Adrian et al.
                            ?    lhp1; ring1a;             (2009), Xu and Shen
    RING1A                                                 (2008), Barrero et al.
                                 1b
                                                           (2007)

     LHP1        BMI1c                           ring1a;
                                                 1b
                                     lhp                                       17
Common problems in genetic screens

   lethality of strong enhancers
                  11D at            44LDs
                  16°C +
                  30LDs
                           Col-0      lhp1
         Col-0     lhp1    18-8-2
         18-8-2

   second allele of lhp1 in Ws can only be used
    as pollen donor
   variance between accessions greater than
    effect of weak enhancers and suppressors


                                               18
Inverse mapping principle
         EMS                               EMS




Back-crossing to parental mutants solves all problems due to
variation between accessions                                   19
Phenotype of sup3
                                Col-0   sup3   lhp1
                       36 LDs                           • Plant size is
                                                        increased
                                                        • Rosette leaves,
                                                        Cauline leaves
                                                        and siliques are
                                                        bigger than in
                                                        lhp1 mutants
                                                        • Flowers look
                                                        the same in
                                                        screening
 Col-0   sup3   lhp1            Col-0   sup3   lhp1     conditions



                                                      36d, 12h
                                                      light,
                                                      16°C/day,
                                                                     20
Col-0    sup3    lhp1                                 14°C/ night
Experimental strategy:


 Back-cross   suppressor 2x to original lhp1 line
 Pick 270 individuals with suppressor phenotype
   in the F2 of BC2
 Prepare DNA from bulked suppressor mutants

 Sequence 1 lane on Solexa GAIl or any other
   high-throughput sequencing device
 Sequence also original ems mutant lhp1 (bulk
   of 58)
 Analyse with SHORE map

                                                  21
Solexa Sequencing and Data Analysis



                                                                                          Geo Velikkakam,
                                                                                          IMPRS student
     Cologne Center for Genomics
                                                          Group Schneeberger MPIPZ

                Read Statistics                                       SNP Statistics
                      Ref_lhp1               sup3                            Homozygous       All SNPs
                                                                                SNPs
No. raw reads       ~ 84 Million    ~ 84 Million
                                                    No. reliable SNPs lhp1   1603 / 273      8497 / 1836
                                                    vs Col-0 (all / EMS)
No. aligned reads   79.68 Million   78.06 Million
                                                    No. reliable SNPs Sup3   6/3             2125 / 455
Genomic coverage    ~ 49 X          ~ 41 X          vs lhp1 (all / EMS)



                                                                                   SHOREmap                22
Frequency distribution
frequency




               frequency




            C hromosome 1   Chromosome 2        Chromosome 3

                                            Parameters: at least
                                            10 reads and a score
frequency




                                            >10 (values 0-40)




            Chromosome 4    Chromosome 5
                                                                   23
                             Chromosome 3
2-3 candidates
 Chromosome 3




                   21455 Kb         21456 Kb    22622 Kb      22623 Kb 23376 Kb       23377 Kb
 Putative causal
                    AT3G57940                                             AT3G63270
 mutations
                      *




 DNA sequence TCTCTTCTCCTGAAGGTCGCAAGGGAGTTAT                CGGGTAACTGATCCCTCCAACAACGTATTCTC
               TCTCTTCTCCTGAAGATCGCAAGGGAGTTAT                CGGGTAACTGATCCCTTCAACAACGTATTCTC
                CTCTTCTCCTGAAGATCGCAAGGGAGTTAT                 GGGTAACTGATCCCTTCAACAACGTATTCTC
                CTCTTCTCCTGAAGATCGCAAGGGAGTTAT                 GGGTAACTGATCCCTTCAACAACGTATTCTC
                 TCTTCTCCTGAAGATCGCAAGGGAGTTAT                 GGGTAACTGATCCCTTCAACAACGTATTCTC
                  CTTCTCCTGAAGATCGCAAGGGAGTTAT                   GTAACTGATCCCTTCAACAACGTATTCTC
                   TTCTCCTGAAGATCGCAAGGGAGTTAT                    TAACTGATCCCTTCAACAACGTATTCTC
              TCTCTTCTCCTGAAGATCGCAAGGGAGTTA                       AACTGATCCCTTCAACAACGTATTCTC
              TCTCTTCTCCTGAAGATCGCAAGGGAGTT                        AACTGATCCCTTCAACAACGTATTCTC
              TCTCTTCTCCTGAAGATCGCAAGGGAGTT                  CGGGTAACTGATCCCTTCAACAACGTATTCT
              TCTCTTCTCCTGAAGATCGCAAGGGAGT                   CGGGTAACTGATCCCTTCAACAACGTATTC
              TCTCTTCTCCTGAAGATCGCAAGGGAG                    CGGGTAACTGATCCCTTCAACAACGTATT

 Protein change    G Q I H S L L L K VA R E L Y K Y L N    SQGAQIREYVVGGISYPLLP
                   GQI HSLLLK I ARELYKYLN                  SQGAQIREYVV E GISYPLLP
Mapping strategy the slow way




                          High resolution
                          melting PCR



        isolate DNA from single
                                      Mapping with 2-3 two markers
        sup3 plants

                                                             25
Fast mapping using deep
    Candidate resequening (dCARE)


270 mutants were pooled in initial screen
coverage by whole-genome re-sequencing was 40-fold on average
Distance between candidate loci was at least 2 Megabases, therefore
several recombination events should be present in the pool (average
rate in Arabidopsis is 3 centi-Morgan by Megabase)



Why not sequence the candidates to greater depths to recover a clear
signal from the recombination events?




                                                                       26
Deeper coverage results in higher confidence
prediction of rare recombination events


                              dCARE distinguishes the causal from closely linked
                                                 mutations
                       1.02
                         1
                       0.98
  Mutation frequency




                       0.96
                       0.94
                                                                             coverage at 40-fold
                       0.92
                                                                             at 20000-fold
                        0.9
                       0.88
                       0.86
                       0.84
                                 AT3G57940      AT3G61130      AT3G63270




                                                                                                   27
Deep candidate resequencing (dCARE)




Deep sequencing with Ion PGMTM 314K chip

-Relatively small coverage was still sufficient for a limited number of amplicons
-Fast, almost overnight results
-Easy design of library using extended primers

                               120-250bp




                               1-50bp
Deep candidate resequencing (dCARE)




 Seq-run     Pos       SNP Cov               A                 C                G                     T                    N

                                      Cov        Freq    Cov Freq         Cov       Freq       Cov        Freq       Cov Freq

             AT3G57940 A         50         47 0,940       0 0,000              2 0,040               0 0,000          1 0,020

             AT3G61130 T         48          0 0,000       2 0,042              0 0,000              44 0,917          2 0,042
                                                                                                                                    Here we
  Illumina   AT3G63270 T         41          0 0,000       1 0,024              0 0,000              39 0,951          1 0,024
                                                                                                                                    have a
             AT3G57940 A    20111 18966 0,943              0         0 1145 0,057                     1          0     0        0   winner
                             4390            0          0 90       0,02         0          0    4300 0,979             0        0
             AT3G61130 T

  dCARE      AT3G63270 T    19203            0          0 86 0,005              0          0 19117 0,996               0        0
2nd Allele of sup3

                                                     sup2 mu [W141Stop] 1 msup3[G273E]
                                                     14-6-1 m uta tion [W 141S top] 15-4-3 uta tion mu [G273E]

                                                     238



                                                                         At3g63270 cDNA              237
                                                                              1260 bp


                                                       Found a GA change in sup2
                                                       coding for a stop codon

                                                                              sup3
                                                                              like




                                                     F2


     sup3♀   sup3♀   sup2♀   sup2♀   sup1♀   sup1♀
     X       X       X       X       X       X                                                          30
F1   sup2♂   sup1♂   sup3♂   sup1♂   sup3♂   sup2♂
Complementation of sup3 and sup2 but
             not sup1 with 35S:AT3G63270:HA
                           Flowering time of T1 and non-transformed plants in LDs




                                Rosette leaves T1     Rosette leaves        Cauline leaves T1      Cauline leaves
                   25


                   20
Number of leaves




                   15


                   10


                   5


                   0
                        Col-0        lhp1      sup1   sup2       sup3      Col-0      lhp1      sup1     sup2       sup3
                                                                       Plants


                                                                                                                           31
SUP3 enodes a domesticated Harbinger-
like transposase

                       Protein blast on NCBI
                                Chose first 100 proteins
                                 from all species
                                Chose A.t. proteins with
                                 E-value < 0.05 (0.0003)

                       Bootstrapped neighbor joining
                         tree with 10.000 replicates

                       SUP3 does not cluster with
                         “real” transposons

                                                  32
Differential gene expression in lhp1
       and sup3
           Genes up-regulated compared to Col-0
                           FDR > 0,05 / logFC > 2

AGL79, MYB18, MYB43,                                            FUL, AGO3, HB21, SPL5, MYB85,
HSP70, AP1, AGL44, MYB45         lhp1 (286)        sup3 (82)    AGL19, STM




                               252            34           48




                           SEP1, SEP2, SEP3, AP3, AG, PI,
                           PRR3, FLC                                                      33
ALP1 – a Trithorax Group protein?


    Suppresso
    r



                            ALP1


                           H3K4me3                 adapted from T. Zografou




             ALP1
                                                   LHP1

                    LHP1                   ALP1

                                     Target Gene
PRC1
components                                                                    34
Perspectives

   3 suppressors (all sequenced and mapped)
   16 enhancers (3 sequenced and mapped, 2
    worked with dCARE, one worked down to
    two candidates)
   One back-cross was sufficient, 100 mutants
    in the pool was also o.k.
   Barcoding and pooling of Illumina High-seq
    re-sequencing with lower coverage was o.k.
       Safe cost in whole genome sequencing and do
        dCARE for more candidates                     35
Turck Group:                 Collaborations:
                   Korbinian                   Justin Goodrich
Theo Zografou
                   Schneeberger                Shih Chieh-Liang
Liangyu Liu        Geo Velikkakam              (Edinburgh University)
Tingting Ning      MPIPZ

Petra Tänzler
Yue Zhou
former members
Sara Farrona
Jessika Adrian
Jian Zhang
Benjamin Hartwig
Julia Engelhorn
Julia Reimer
Thank you!


Visit the Life Technologies website for more information.




                                                            37
Enhancers on plates



15-9-1 / 2 plants in bulk




16-2-1_1 / 1 plant in bulk

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Semiconductor Sequencing Applications for Plant Sciences

  • 1. Ion PGM™ & Ion Proton™ Systems and Applications November 2012 Visit the Life Technologies website for more information. Life Technologies™ | 1 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 2. Ion Torrent Founded in 2007 by Jonathan Rothberg − Pioneered next gen sequencing − Founder of 454, CuraGen, Raindance Acquired by Life Technologies in Jul 2010 Over 250 chemists, molecular biologists, MA engineers, software developers and CA CT bioinformaticists across 5 R&D sites TX First PostLight™ sequencing technology launched in Dec 2010 (Ion PGM™ System) First Postlight™ genome-scale sequencer shipped in Sep 2012 (Ion Proton™ System) Life Technologies™ | 2 2 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 3. Direct Detection of Hydrogen Ions and Conversion to an Electrical Signal Read by a Transistor Substrate dNTP H+ ∆ pH ∆Q Sensing Layer Sensor Plate ∆V Bulk Drain Source To column Silicon Substrate receiver Rothberg J.M. et al Nature doi:10.1038/nature10242 Life Technologies™ | 3 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 4. Ion Semiconductor Sequencing Systems: PGM™ for Genes. Proton™ for Genomes. Sequencing for All. For more information, visit lifetechnologies.com/ionsequencing Life Technologies™ | 4 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 5. Ion PGM™ and OneTouch™ 2 Systems with 3-Series Chips Ion 318™ Chip Ion 316™ Chip Ion 314™ Chip Ion PGM™ Chip Ion User Q20 bases External Performance 314 Rmease 143,516,106 Well Beyond Spec (Ion Community 316 Corebotz 786,016,516 RecogntION Runs) 318 Wtr 1,275,271,258 Life Technologies™ | 5 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 6. Ion Proton™ System Bringing Rapid Genome-Scale Sequencing to Every Lab  Runs all Ion P-Series chips  Benchtop system containing state-of-the-art electronics to support the highest throughput − Dual 8-core Intel® Xeon® Sandy Bridge processors − 128 GB of RAM − Dual Altera® Stratix V FPGAs − NVIDIA® Tesla® C2075 GPU − 11 TB of hybrid (SSD&HDD) storage − Ubuntu® 11.10 operating system Life Technologies™ | 6 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 7. Single Day Workflow with the Fastest Sequencing Runs ION LIBRARY PREPARE RUN ANALYZE KITS TEMPLATE SEQUENCE DATA lon Proton™ System Sample to results in a single day lon Xpress'" Plus lon Chef '" System• lon Proton '" Proton'" Torrent Server Fragment Library Kits or Sequencer ion OneTouch'" 2 System Life Technologies™ I 7 lrwllrogen A.!:lpt edBto,pte m G1bc0 Mott'NI.OrPiobH" Novu T qM:III"" Amboon !onTOO"rent hnolog1es The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 8. Ion PI™ Chip for Whole Exomes/Transcriptomes; Ion PII™ Chip for Whole Genomes Ion PI™ Chip Ion PII™ Chip 165 M wells 660 M wells Up to 10 Gb Exome Up to 20X human genome 60-80M Filtered Reads 240-320M Filtered Reads Up to 200bp reads Up to 200bp reads 2-4 hours Runs in Hours Life Technologies™ | 8 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 9. Unprecedented Scalability 10,000-Fold From Ion 314™ to Ion PIII™ Chip Transcriptome Small Genome Small to Large Gene Panels Human Genome Exome 100G Ion PIII™ Ion PII™ Sequence Output per Run 10G Ion PI™ 1G Ion 318™ 100M Ion 316™ 10M Ion 314 from 1.2 Million Sensors …………………to 1.2 Billion Sensors Life Technologies™ | 9 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 10. Simple and Complete Workflows Ion PGM™ System Ion Proton™ System Life Technologies™ | 10 10 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 11. lon Semiconductor Sequencing: Enabling a Breadth of Applications SEQU£NC ING S1ALL SETS OF G£NE EXPRtSSION WHOLE HUMAN HUMAN APPLICAnONS GENOMES GENES CHIP SEQ TRANSCRIPTOME EXOMES GENOMES SEQUENCNG I OHIPS El PI Pll Life Technologies™ I 11 lrwllrogen A.!:lpt edBto,pte m G1bc0 Mott'NI.OrPiobH" Novu T qM:III"" Amboon !onTOO"rent hnologoes The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 12. Ion Reporter Software Workflow A secure, hosted informatics infrastructure for routine assays Automated informatics User interpretation Mapped Annotated Confident Relevant Interpretive Reads Variants Reads Variants Variants Variants Report Life Technologies™ | 12 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 13. All products mentioned in this presentation are for research use only and not for use in diagnostic procedures. All data shown in this presentation was generated by Life Technologies, except where indicated © 2012 Life Technologies Corporation. All rights reserved. The trademarks mentioned herein are the property of Life Technologies Corporation and/or its affiliate(s) or their respective owners. Life Technologies™ | 13 The content provided herein may relate to products that have not been officially released and is subject to change without notice.
  • 14. Fast isogenic mapping-by- sequencing of EMS-induced mutant bulks Franziska Turck Group Max Planck Institute for Plant Breeding Research 14
  • 15. Presentation Outline  Introduction to technical and biological problem  Isogenic mapping approach  Fast mapping using deep candidate resequencing (dCARE) with IonPGMTM 15
  • 16. Mutations in LHP1/TFL2 alter plant development SD/LD lhp1 lhp1 ft AG SEP3 AP3 WT lhp1 AP1 CD Hinge CSD binds to H3K27me3 16
  • 17. LHP1 represses target genes as part of Polycomb Repressive Complex 1 bmi1a; bmi1b BMI1c BMI1b Bratzel et al. (2010) Chen BMI1a et al. (2010), Olmo et al. RING1B (2010), Adrian et al. ? lhp1; ring1a; (2009), Xu and Shen RING1A (2008), Barrero et al. 1b (2007) LHP1 BMI1c ring1a; 1b lhp 17
  • 18. Common problems in genetic screens  lethality of strong enhancers 11D at 44LDs 16°C + 30LDs Col-0 lhp1 Col-0 lhp1 18-8-2 18-8-2  second allele of lhp1 in Ws can only be used as pollen donor  variance between accessions greater than effect of weak enhancers and suppressors 18
  • 19. Inverse mapping principle EMS EMS Back-crossing to parental mutants solves all problems due to variation between accessions 19
  • 20. Phenotype of sup3 Col-0 sup3 lhp1 36 LDs • Plant size is increased • Rosette leaves, Cauline leaves and siliques are bigger than in lhp1 mutants • Flowers look the same in screening Col-0 sup3 lhp1 Col-0 sup3 lhp1 conditions 36d, 12h light, 16°C/day, 20 Col-0 sup3 lhp1 14°C/ night
  • 21. Experimental strategy:  Back-cross suppressor 2x to original lhp1 line  Pick 270 individuals with suppressor phenotype in the F2 of BC2  Prepare DNA from bulked suppressor mutants  Sequence 1 lane on Solexa GAIl or any other high-throughput sequencing device  Sequence also original ems mutant lhp1 (bulk of 58)  Analyse with SHORE map 21
  • 22. Solexa Sequencing and Data Analysis Geo Velikkakam, IMPRS student Cologne Center for Genomics Group Schneeberger MPIPZ Read Statistics SNP Statistics Ref_lhp1 sup3 Homozygous All SNPs SNPs No. raw reads ~ 84 Million ~ 84 Million No. reliable SNPs lhp1 1603 / 273 8497 / 1836 vs Col-0 (all / EMS) No. aligned reads 79.68 Million 78.06 Million No. reliable SNPs Sup3 6/3 2125 / 455 Genomic coverage ~ 49 X ~ 41 X vs lhp1 (all / EMS) SHOREmap 22
  • 23. Frequency distribution frequency frequency C hromosome 1 Chromosome 2 Chromosome 3 Parameters: at least 10 reads and a score frequency >10 (values 0-40) Chromosome 4 Chromosome 5 23 Chromosome 3
  • 24. 2-3 candidates Chromosome 3 21455 Kb 21456 Kb 22622 Kb 22623 Kb 23376 Kb 23377 Kb Putative causal AT3G57940 AT3G63270 mutations * DNA sequence TCTCTTCTCCTGAAGGTCGCAAGGGAGTTAT CGGGTAACTGATCCCTCCAACAACGTATTCTC TCTCTTCTCCTGAAGATCGCAAGGGAGTTAT CGGGTAACTGATCCCTTCAACAACGTATTCTC CTCTTCTCCTGAAGATCGCAAGGGAGTTAT GGGTAACTGATCCCTTCAACAACGTATTCTC CTCTTCTCCTGAAGATCGCAAGGGAGTTAT GGGTAACTGATCCCTTCAACAACGTATTCTC TCTTCTCCTGAAGATCGCAAGGGAGTTAT GGGTAACTGATCCCTTCAACAACGTATTCTC CTTCTCCTGAAGATCGCAAGGGAGTTAT GTAACTGATCCCTTCAACAACGTATTCTC TTCTCCTGAAGATCGCAAGGGAGTTAT TAACTGATCCCTTCAACAACGTATTCTC TCTCTTCTCCTGAAGATCGCAAGGGAGTTA AACTGATCCCTTCAACAACGTATTCTC TCTCTTCTCCTGAAGATCGCAAGGGAGTT AACTGATCCCTTCAACAACGTATTCTC TCTCTTCTCCTGAAGATCGCAAGGGAGTT CGGGTAACTGATCCCTTCAACAACGTATTCT TCTCTTCTCCTGAAGATCGCAAGGGAGT CGGGTAACTGATCCCTTCAACAACGTATTC TCTCTTCTCCTGAAGATCGCAAGGGAG CGGGTAACTGATCCCTTCAACAACGTATT Protein change G Q I H S L L L K VA R E L Y K Y L N SQGAQIREYVVGGISYPLLP GQI HSLLLK I ARELYKYLN SQGAQIREYVV E GISYPLLP
  • 25. Mapping strategy the slow way High resolution melting PCR isolate DNA from single Mapping with 2-3 two markers sup3 plants 25
  • 26. Fast mapping using deep Candidate resequening (dCARE) 270 mutants were pooled in initial screen coverage by whole-genome re-sequencing was 40-fold on average Distance between candidate loci was at least 2 Megabases, therefore several recombination events should be present in the pool (average rate in Arabidopsis is 3 centi-Morgan by Megabase) Why not sequence the candidates to greater depths to recover a clear signal from the recombination events? 26
  • 27. Deeper coverage results in higher confidence prediction of rare recombination events dCARE distinguishes the causal from closely linked mutations 1.02 1 0.98 Mutation frequency 0.96 0.94 coverage at 40-fold 0.92 at 20000-fold 0.9 0.88 0.86 0.84 AT3G57940 AT3G61130 AT3G63270 27
  • 28. Deep candidate resequencing (dCARE) Deep sequencing with Ion PGMTM 314K chip -Relatively small coverage was still sufficient for a limited number of amplicons -Fast, almost overnight results -Easy design of library using extended primers 120-250bp 1-50bp
  • 29. Deep candidate resequencing (dCARE) Seq-run Pos SNP Cov A C G T N Cov Freq Cov Freq Cov Freq Cov Freq Cov Freq AT3G57940 A 50 47 0,940 0 0,000 2 0,040 0 0,000 1 0,020 AT3G61130 T 48 0 0,000 2 0,042 0 0,000 44 0,917 2 0,042 Here we Illumina AT3G63270 T 41 0 0,000 1 0,024 0 0,000 39 0,951 1 0,024 have a AT3G57940 A 20111 18966 0,943 0 0 1145 0,057 1 0 0 0 winner 4390 0 0 90 0,02 0 0 4300 0,979 0 0 AT3G61130 T dCARE AT3G63270 T 19203 0 0 86 0,005 0 0 19117 0,996 0 0
  • 30. 2nd Allele of sup3 sup2 mu [W141Stop] 1 msup3[G273E] 14-6-1 m uta tion [W 141S top] 15-4-3 uta tion mu [G273E] 238 At3g63270 cDNA 237 1260 bp Found a GA change in sup2 coding for a stop codon sup3 like F2 sup3♀ sup3♀ sup2♀ sup2♀ sup1♀ sup1♀ X X X X X X 30 F1 sup2♂ sup1♂ sup3♂ sup1♂ sup3♂ sup2♂
  • 31. Complementation of sup3 and sup2 but not sup1 with 35S:AT3G63270:HA Flowering time of T1 and non-transformed plants in LDs Rosette leaves T1 Rosette leaves Cauline leaves T1 Cauline leaves 25 20 Number of leaves 15 10 5 0 Col-0 lhp1 sup1 sup2 sup3 Col-0 lhp1 sup1 sup2 sup3 Plants 31
  • 32. SUP3 enodes a domesticated Harbinger- like transposase  Protein blast on NCBI  Chose first 100 proteins from all species  Chose A.t. proteins with E-value < 0.05 (0.0003)  Bootstrapped neighbor joining tree with 10.000 replicates  SUP3 does not cluster with “real” transposons 32
  • 33. Differential gene expression in lhp1 and sup3 Genes up-regulated compared to Col-0 FDR > 0,05 / logFC > 2 AGL79, MYB18, MYB43, FUL, AGO3, HB21, SPL5, MYB85, HSP70, AP1, AGL44, MYB45 lhp1 (286) sup3 (82) AGL19, STM 252 34 48 SEP1, SEP2, SEP3, AP3, AG, PI, PRR3, FLC 33
  • 34. ALP1 – a Trithorax Group protein? Suppresso r ALP1 H3K4me3 adapted from T. Zografou ALP1 LHP1 LHP1 ALP1 Target Gene PRC1 components 34
  • 35. Perspectives  3 suppressors (all sequenced and mapped)  16 enhancers (3 sequenced and mapped, 2 worked with dCARE, one worked down to two candidates)  One back-cross was sufficient, 100 mutants in the pool was also o.k.  Barcoding and pooling of Illumina High-seq re-sequencing with lower coverage was o.k.  Safe cost in whole genome sequencing and do dCARE for more candidates 35
  • 36. Turck Group: Collaborations: Korbinian Justin Goodrich Theo Zografou Schneeberger Shih Chieh-Liang Liangyu Liu Geo Velikkakam (Edinburgh University) Tingting Ning MPIPZ Petra Tänzler Yue Zhou former members Sara Farrona Jessika Adrian Jian Zhang Benjamin Hartwig Julia Engelhorn Julia Reimer
  • 37. Thank you! Visit the Life Technologies website for more information. 37
  • 38. Enhancers on plates 15-9-1 / 2 plants in bulk 16-2-1_1 / 1 plant in bulk