In her recent publication “Fast isogenic mapping-by-sequencing of EMS-induced mutant bulks” in Plant Physiology, Dr. Franziska Turck and her team introduced deep candidate resequencing (dCARE) using the Ion PGM™ Sequencer to their Arabidopsis mutant identification pipeline.
These slides are from her Decmeber 5th live webinar presentation about the application of isogenic mapping approach for plant gene identification with fast and cost-effective barcoding using the Ion PGM™ system. She shared with the webinar attendees her experience with the ways that the Ion PGM™ system improves her deep sequencing workflow.
Learn more about the Ion Proton™ and Ion PGM™ here http://owl.li/g19ix
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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)
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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
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4. Ion Semiconductor Sequencing Systems:
PGM™ for Genes. Proton™ for Genomes.
Sequencing for All.
For more information, visit lifetechnologies.com/ionsequencing
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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
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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
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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
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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
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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
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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
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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
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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 GA 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
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