SlideShare a Scribd company logo
@NanoporeConf | #NanoporeConf
Nanopore Day Paris 2018
BEST PRACTICE TO MAXIMIZE THROUGHPUT
WITH NANOPORE TECHNOLOGY
&
DE NOVO SEQUENCING OF GENETIC LINES OF
ARABIDOPSIS THALIANA.
Baptiste Mayjonade
French National Institute for Agricultural Research
BEST PRACTICE TO MAXIMIZE THROUGHPUT
WITH NANOPORE TECHNOLOGY
01
3 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA
DNA QC : Purity and integrity
DNA shearing
Adapter ligation
Flow cell loading
DNA repair + End-Prep
LIBRARY
PREPARATION
BluePippin step
4 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
DNA QC: PURITY OF THE SAMPLE IS THE KEY PARAMETER
 Library prep : impurities can reduce the efficiency of the enzymatic reactions
 Sequencing : pores could be very sensitive to contaminants
 Ultrapure DNA is required to obtain optimal results
• Nanodrop not accurate for concentrations < 20 ng/µl
• A260/A230 = 2 - 2.2 (could be tricky to reach)
• A260/A280 = 1.8 - 2 (if >2 RNA contamination)
NANODROP QUBIT
Nanodrop is accurate for pure DNA
 Nanodrop concentration ≈ Qubit
Fluorescence dsDNA specific
5 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
DNA QC: PURITY OF THE SAMPLE IS THE KEY PARAMETER
Equivalent purity but different behavior during the sequencing
A260/A280 = 1.93
A260/A230 = 2.05
Plant gDNA (20 kb sheared)
250 pores working (strand + single)  4-5 Gb
After 5 minutes of sequencing (mux1 = 504 active pores)
Even if DNA purity looks good nothing is guaranteed.
A260/A280 = 1.86
A260/A230 = 2.12
Bacteria gDNA (20 kb sheared)
471 pores working (strand + single)  10-15 Gb
After 5 minutes of sequencing (mux1 = 505 active pores)
6 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
DNA QC: INTEGRITY OF THE INPUT DNA & ASSESSMENT OF THE LIBRARY SIZE
 Input material (gDNA) :
• if degraded  size selection to get rid of short fragments
• if no high molecular weight DNA  no long reads
 Library : accurate assessment of the library mean size  convert the DNA mass to a number of
molecules  using the appropriate amount of DNA as input for the library preparation
gDNA sample mean size = 10kb gDNA sample mean size = 50kb
0.2 pmoles = 1.32µg 0.2 pmoles = 6.6µg
Useful link: http://www.promega.com/a/apps/biomath/index.html?calc=ugpmols
7 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
DNA QC: INTEGRITY OF THE DNA & ASSESSMENT OF THE LIBRARY SIZE
Comparison of 5 devices to assess the profile of a genomic DNA
FRAGMENT ANALYSER
FEMTO PULSE
PIPPIN PULSECHEF MAPPER
10 kb 20 kb 50 kb 100 kb
Average size = 53 000 bp
10 kb
Smear = 20 – 100 kbSmear = 20 – 150 kb 50 kb 150 kb
20 kb
100 kb
50 kb
Average size = 83 000 bp
48.5 kb
15 kb
97 kb
145.5 kb
100 kb20 kb
12 kb
Electrophoresis
Band > 12 kb
8 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
DNA QC: INTEGRITY OF THE DNA & ASSESSMENT OF THE LIBRARY SIZE
Device
Electrophoresis
category
Run
time
DNA
requirement
Suitable Price
CLASSIC ELECTROPHORESIS 1h 100ng 0 – 12 kb ≈ 1 k€
CHEF MAPPER (BIO-RAD) Pulsed-field 16h ≈ 500 ng 0 – 10 Mb ≈ 30 k€
FEMTO PULSE (AATI)
Pulsed-field
capillary
2 - 3h ≈ 5 fg 0 – 150 kb ≈ 80 k€
PIPPIN PULSE (SAGE SCIENCE) Inverted 16h ≈ 100 ng 0 – 100 kb ≈ 5 k€
FRAGMENT ANALYSER (AATI) Capillary 1h ≈ 4 ng 0 – 50 kb ≈ 35 k€
FEMTO PULSE appears as the best tradeoff between analysis time, DNA requirement and
resolution for large DNA fragments
9 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
DNA EXTRACTION KITS AND PROTOCOLS
Spin column
QIAGEN DNesasy Kit
12 kb
5 kb
ADNg Ladder
Magnetic beads
QIAGEN MagAttract
Flow gravity column
QIAGEN Genomic-tip
Sunflower Human
cells
E.coli
https://www.protocols.io/groups/minion-user-group-with-fungi-and-plants-on-their-mind
Other protocols available :
(Benjamin Schwessinger)
10 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA
DNA QC : Purity and integrity
DNA shearing
Adapter ligation
Flow cell loading
DNA repair + End-Prep
LIBRARY
PREPARATION
BluePippin step
11 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
LIBRARY PREPARATION : DNA SHEARING
Comparison of 2 devices
G-tube
(1 pass through the g-tube)
Megaruptor
(15 passes through hydropore)
Wide distribution
30€ per sample
Only a centrifuge is needed
Tight distribution
10€ per sample
Megaruptor device ≈ 18k$
Tight distribution = less long fragments  more efficient library preparation (?)
 Upcoming new ligation kit (LSK109) more efficient for long fragments
12 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA
DNA QC : Purity and integrity
DNA shearing
Adapter ligation
Flow cell loading
DNA repair + End-Prep
LIBRARY
PREPARATION
BluePippin step
13 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
LIBRARY PREPARATION : SIZE SELECTION (BLUEPIPPIN - SAGE SCIENCE)
To purify a sample : plant sample (A. thaliana)
A260/A280 = 1.88
A260/A230 = 1.98
A260/A280 = 1.86
A260/A230 = 2.29
With a BluePippin step (6 Gb)Without a BluePippin step (4 Gb)
337 pores working (strand + single)
After 5 minutes of sequencing (mux1 = 505 active pores)
143 pores working (strand + single)
After 5 minutes of sequencing (mux1 = 497 active pores)
A BluePippin step improves the purity of a DNA sample and has a positive impact on sequencing
14 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA
DNA QC : Purity and integrity
DNA shearing
Adapter ligation
Flow cell loading
DNA repair + End-Prep
LIBRARY
PREPARATION
BluePippin step
15 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
LIBRARY PREPARATION : ADAPTER LIGATION
Overloading the ligation reaction could reduce the amount of DNA molecules with adapters
on both ends  ≈ 0.2 pmol into the ligation reaction appears optimal (8 kb and 20 kb library)
 Higher adapter concentration in the upcoming LSK109 kit (new ligation kit)
16 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA
DNA QC : Purity and integrity
DNA shearing
Adapter ligation
Flow cell loading
DNA repair + End-Prep
LIBRARY
PREPARATION
BluePippin step
17 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
LIBRARY PREPARATION : FLOW CELL LOADING
45 fmols of a 20 kb library loaded onto the FC
After 5 minutes of sequencing
90 fmols of a 20 kb library loaded onto the FC
After 5 minutes of sequencing
 Unlike other sequencing platforms (Illumina or PacBio), overloading/saturation is good :
 Lifetime of a sequencing pore > lifetime of an empty pore
 More pores sequencing at the same time  higher throughput
Occupancy = 65% Occupancy = 80%
Occupancy =
Number of sequencing pores (Strand)
Number of available pores (Single + Strand)
should be >80%
18 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
LIBRARY PREPARATION : EXAMPLE OF A 20 KB LIBRARY (BACTERIA)
DNA reparations
AMPure XP recovery 80-100%
(20 min binding/10 min elution
on a rotator)
If <80%, DNA is not pure or too large
(>150 kb)
End-Prep
Adapters ligation
2.2 µg of 20 kb sheared DNA (170 fmols)
1.5 µg of 20 kb sheared DNA (110 fmols)
1.2 µg of 20 kb sheared DNA
90 fmols loaded onto the flow cell
2.4 µg of 20 kb sheared DNA (180 fmols)
(recovery <80% : beads washed with
ABB buffer instead of 80% ethanol)
3 µg of 20 kb sheared DNA (230 fmols)
80%
92%
68%
19 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
EXAMPLE OF RESULTS : MULTIPLEXING THE GENOME OF 12 BACTERIAL
STRAINS
 Throughput is stable and >10 Gb since MinKNOW 1.5
 >500 Mb of data for each sample
 Mean read lengths = 10 - 16 kb (without size selection)
Mean read lengths
Amount of data
Yield and read lengths (MinKNOW 1.5 – LSK108 kit and Albacore v1)
Yields for the last 4 runs (48h) Detail of the RUN 1 : 12.9 Gb
USE OF THE NANOPORE TECHNOLOGY TO OBTAIN NEW
REFERENCE GENOMES OF ARABIDOPSIS THALIANA :
INCREASING THE POWER OF GWA MAPPING
02
21 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
METRICS OF THE ASSEMBLY OF A NEW REFERENCE : GENOTYPE A1-141
Raw data (2 flow cells)
(Albacore v2.0)
Reads >Q9
Corrected reads
(Canu v1.6)
Assembly
(smartdenovo)
Nb of reads 851 733 742 189 330 093 79
Max read length 223 941 67 237 56 518 13 866 816
N50 BP 14 159 14 295 15 357 8 826 176
N50 NUM 286 338 263 491 138 095 5
N90 BP 9 041 9 375 12 224 986 644
N90 NUM 628 950 575 508 285 194 18
MEAN 11 795 12 537 15 287 1 513 925
Total BP 10 046 292 165 9 305 065 534 5 046 155 201 119 600 115
A. thaliana depth 80X 74X 40X -
90% of the assembly in only 18 contigs
22 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
COMPARISON OF THE NEW GENOME WITH THE REFERENCE GENOME
(COL-0, SANGER SEQUENCING)
Very good collinearity at a chromosome scale
Reference genome
Nanoporegenome
23 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
ASSEMBLY METRICS FOR ANOTHER ACCESSION (SHAHDARA)
Raw data (1 flow cells)
(Albacore v2.0)
Reads >Q9
Corrected reads
(Canu v1.6)
Assembly
(smartdenovo)
Nb of reads 505 820 402 391 302 781 102
Max read length 102 801 60 457 51 666 13 404 585
N50 BP 15 074 15 345 15 112 8 793 362
N50 NUM 126 462 111 383 91 408 6
N90 BP 6 517 7 156 7 491 482 518
N90 NUM 303 804 263 228 213 870 24
MEAN 9 735 10 910 11 644 1 147 682
Total BP 4 924 331 663 4 390 258 563 3 525 820 530 117 063 664
A. Thaliana depth 39X 35X 28X -
Close metrics with 80X or 39X of data
24 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
COMPARISON OF THE SHAHDARA GENOME WITH THE REFERENCE
GENOME (COLUMBIA)
High quality genome allows to detect large structural variations
≈2 Mb
Nanoporegenome
Reference genome
25 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
0
5000
10000
15000
20000
25000
LONG READS POTENTIAL OF THE NANOPORE TECHNOLOGY
Unsheared plant gDNA with 1D kit (LSK108)
0
20000
40000
60000
80000
100000
120000
140000
21 783 reads > 50 kb (= 1.6 Gb)
1 962 reads >100 kb (= 0.23 Gb)
Raw data :
• Total yield = 4.2 Gb
• N50 = 39.3 kb
• Max = 291 kb
26 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
LONG READS POTENTIAL OF THE NANOPORE TECHNOLOGY
Unsheared plant gDNA with 1D kit (LSK108)
Blast of a 250kb reads
27 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
ACKNOWLEDGMENTS
Cécile Donnadieu, Catherine Zanchetta, Maxime Manno, Alain Roulet, Céline
Lopez-Roques, Céline Vandecasteele, Gérald Salin, Claire Kuchly, Pauline Heuillard
Christophe Klopp
William Marande, Sandrine Arribat, Hélène Bergès
Jérôme Gouzy, Sébastien Carrere, Fabrice Roux, Claudia Bartoli,
Cyril Libourel, Léa Frachon, Tatiana Vernié, Jaishree Subrahmaniam
28 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf28 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf
The content contained in this presentation should not be reproduced
without permission of the speaker.
© Copyright 2017 Oxford Nanopore Technologies. The MinION,
GridION, PromethION and VolTRAX are for research use only.
THANK YOU

More Related Content

What's hot

Understanding and controlling for sample and platform biases in NGS assays
Understanding and controlling for sample and platform biases in NGS assaysUnderstanding and controlling for sample and platform biases in NGS assays
Understanding and controlling for sample and platform biases in NGS assays
Candy Smellie
 
Comparitive genomic hybridisation
Comparitive genomic hybridisationComparitive genomic hybridisation
Comparitive genomic hybridisation
namrathrs87
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
ARUNDHATI MEHTA
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
Swathi Prabakar
 
NEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGNEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCING
Bilal Nizami
 
Digital Droplet PCR
Digital Droplet PCRDigital Droplet PCR
Digital Droplet PCR
Aashish Patel
 
Introduction to NGS
Introduction to NGSIntroduction to NGS
Introduction to NGS
cursoNGS
 
Fundamentals of Fluorescence in situ Hybridization
Fundamentals of Fluorescence in situ Hybridization Fundamentals of Fluorescence in situ Hybridization
Fundamentals of Fluorescence in situ Hybridization
Amartya Pradhan
 
DNA microarray final ppt.
DNA microarray final ppt.DNA microarray final ppt.
DNA microarray final ppt.
Aashish Patel
 
Fluorescence in situ hybridization
Fluorescence in situ hybridizationFluorescence in situ hybridization
Fluorescence in situ hybridization
TukaramBorkar
 
Next Gen Sequencing (NGS) Technology Overview
Next Gen Sequencing (NGS) Technology OverviewNext Gen Sequencing (NGS) Technology Overview
Next Gen Sequencing (NGS) Technology Overview
Dominic Suciu
 
Ngs introduction
Ngs introductionNgs introduction
Ngs introduction
Alagar Suresh
 
Third Generation Sequencing
Third Generation Sequencing Third Generation Sequencing
Third Generation Sequencing
priyanka raviraj
 
Variant analysis and whole exome sequencing
Variant analysis and whole exome sequencingVariant analysis and whole exome sequencing
Variant analysis and whole exome sequencing
Bioinformatics and Computational Biosciences Branch
 
SNPs analysis methods
SNPs analysis methodsSNPs analysis methods
SNPs analysis methods
had89
 
Multiplex pcr
Multiplex pcrMultiplex pcr
Multiplex pcr
nedalalazzwy
 
SNP Detection Methods and applications
SNP Detection Methods and applications SNP Detection Methods and applications
SNP Detection Methods and applications
Aneela Rafiq
 
Exome seuencing (steps, method, and applications)
Exome seuencing (steps, method, and applications)Exome seuencing (steps, method, and applications)
Exome seuencing (steps, method, and applications)
Hamza Khan
 
SNP genotyping on qPCR platforms: Troubleshooting for amplification and clust...
SNP genotyping on qPCR platforms: Troubleshooting for amplification and clust...SNP genotyping on qPCR platforms: Troubleshooting for amplification and clust...
SNP genotyping on qPCR platforms: Troubleshooting for amplification and clust...
Integrated DNA Technologies
 

What's hot (20)

Understanding and controlling for sample and platform biases in NGS assays
Understanding and controlling for sample and platform biases in NGS assaysUnderstanding and controlling for sample and platform biases in NGS assays
Understanding and controlling for sample and platform biases in NGS assays
 
Comparitive genomic hybridisation
Comparitive genomic hybridisationComparitive genomic hybridisation
Comparitive genomic hybridisation
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
 
Next generation sequencing
Next generation sequencingNext generation sequencing
Next generation sequencing
 
NEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCINGNEXT GENERATION SEQUENCING
NEXT GENERATION SEQUENCING
 
Digital Droplet PCR
Digital Droplet PCRDigital Droplet PCR
Digital Droplet PCR
 
Introduction to NGS
Introduction to NGSIntroduction to NGS
Introduction to NGS
 
Fundamentals of Fluorescence in situ Hybridization
Fundamentals of Fluorescence in situ Hybridization Fundamentals of Fluorescence in situ Hybridization
Fundamentals of Fluorescence in situ Hybridization
 
DNA microarray final ppt.
DNA microarray final ppt.DNA microarray final ppt.
DNA microarray final ppt.
 
Fluorescence in situ hybridization
Fluorescence in situ hybridizationFluorescence in situ hybridization
Fluorescence in situ hybridization
 
Next Gen Sequencing (NGS) Technology Overview
Next Gen Sequencing (NGS) Technology OverviewNext Gen Sequencing (NGS) Technology Overview
Next Gen Sequencing (NGS) Technology Overview
 
Ngs introduction
Ngs introductionNgs introduction
Ngs introduction
 
RNA-seq Analysis
RNA-seq AnalysisRNA-seq Analysis
RNA-seq Analysis
 
Third Generation Sequencing
Third Generation Sequencing Third Generation Sequencing
Third Generation Sequencing
 
Variant analysis and whole exome sequencing
Variant analysis and whole exome sequencingVariant analysis and whole exome sequencing
Variant analysis and whole exome sequencing
 
SNPs analysis methods
SNPs analysis methodsSNPs analysis methods
SNPs analysis methods
 
Multiplex pcr
Multiplex pcrMultiplex pcr
Multiplex pcr
 
SNP Detection Methods and applications
SNP Detection Methods and applications SNP Detection Methods and applications
SNP Detection Methods and applications
 
Exome seuencing (steps, method, and applications)
Exome seuencing (steps, method, and applications)Exome seuencing (steps, method, and applications)
Exome seuencing (steps, method, and applications)
 
SNP genotyping on qPCR platforms: Troubleshooting for amplification and clust...
SNP genotyping on qPCR platforms: Troubleshooting for amplification and clust...SNP genotyping on qPCR platforms: Troubleshooting for amplification and clust...
SNP genotyping on qPCR platforms: Troubleshooting for amplification and clust...
 

Similar to BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUENCING OF GENETIC LINES OF ARABIDOPSIS THALIANA

20160308 dtl ngs_focus_group_meeting_slideshare
20160308 dtl ngs_focus_group_meeting_slideshare20160308 dtl ngs_focus_group_meeting_slideshare
20160308 dtl ngs_focus_group_meeting_slideshare
hansjansen9999
 
20150601 bio sb_assembly_course
20150601 bio sb_assembly_course20150601 bio sb_assembly_course
20150601 bio sb_assembly_course
hansjansen9999
 
iMate Protocol Guide version 3.0
iMate Protocol Guide version 3.0 iMate Protocol Guide version 3.0
iMate Protocol Guide version 3.0
Shigehiro Kuraku (工樂 樹洋)
 
Generating high-quality reference human genomes using PromethION nanopore seq...
Generating high-quality reference human genomes using PromethION nanopore seq...Generating high-quality reference human genomes using PromethION nanopore seq...
Generating high-quality reference human genomes using PromethION nanopore seq...
Miten Jain
 
PCR lecture.ppt
PCR lecture.pptPCR lecture.ppt
PCR lecture.ppt
NoorKhan428102
 
BioSB meeting 2015
BioSB meeting 2015BioSB meeting 2015
BioSB meeting 2015
hansjansen9999
 
Fruitbreedomics workshop wp6 dna extraction methods
Fruitbreedomics workshop wp6 dna extraction methodsFruitbreedomics workshop wp6 dna extraction methods
Fruitbreedomics workshop wp6 dna extraction methods
fruitbreedomics
 
DNA Cloning
DNA CloningDNA Cloning
DNA Cloning
Jesús C. Morales
 
whole-genome-sequencing-guide-small-genomes.pdf.pdf
whole-genome-sequencing-guide-small-genomes.pdf.pdfwhole-genome-sequencing-guide-small-genomes.pdf.pdf
whole-genome-sequencing-guide-small-genomes.pdf.pdf
CRISTIANALONSORODRIG1
 
Microarray validation
Microarray validationMicroarray validation
Microarray validationElsa von Licy
 
NUGEN-X-Gen_2011_poster_trancriptome_sequencing_RNA-Seq
NUGEN-X-Gen_2011_poster_trancriptome_sequencing_RNA-SeqNUGEN-X-Gen_2011_poster_trancriptome_sequencing_RNA-Seq
NUGEN-X-Gen_2011_poster_trancriptome_sequencing_RNA-SeqHimanshu Sethi
 
DNA Libraries / Genomic DNA vs cDNA .pdf
DNA Libraries / Genomic DNA vs cDNA .pdfDNA Libraries / Genomic DNA vs cDNA .pdf
DNA Libraries / Genomic DNA vs cDNA .pdf
SELF-EXPLANATORY
 
Week2.ppt
Week2.pptWeek2.ppt
Nanopore Day Paris 2018 March 15th
Nanopore Day Paris 2018 March 15thNanopore Day Paris 2018 March 15th
Nanopore Day Paris 2018 March 15th
slecrom
 
Bioinformatics workshop Sept 2014
Bioinformatics workshop Sept 2014Bioinformatics workshop Sept 2014
Bioinformatics workshop Sept 2014LutzFr
 
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
GenomeInABottle
 
The QIAseq NGS Portfolio for Cancer Research: Sample-to-Insight for All
The QIAseq NGS Portfolio for Cancer Research: Sample-to-Insight for AllThe QIAseq NGS Portfolio for Cancer Research: Sample-to-Insight for All
The QIAseq NGS Portfolio for Cancer Research: Sample-to-Insight for All
QIAGEN
 
iMate Protocol Guide version 2.1
iMate Protocol Guide version 2.1iMate Protocol Guide version 2.1
iMate Protocol Guide version 2.1
Shigehiro Kuraku (工樂 樹洋)
 

Similar to BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUENCING OF GENETIC LINES OF ARABIDOPSIS THALIANA (20)

20160308 dtl ngs_focus_group_meeting_slideshare
20160308 dtl ngs_focus_group_meeting_slideshare20160308 dtl ngs_focus_group_meeting_slideshare
20160308 dtl ngs_focus_group_meeting_slideshare
 
20150601 bio sb_assembly_course
20150601 bio sb_assembly_course20150601 bio sb_assembly_course
20150601 bio sb_assembly_course
 
iMate Protocol Guide version 3.0
iMate Protocol Guide version 3.0 iMate Protocol Guide version 3.0
iMate Protocol Guide version 3.0
 
Generating high-quality reference human genomes using PromethION nanopore seq...
Generating high-quality reference human genomes using PromethION nanopore seq...Generating high-quality reference human genomes using PromethION nanopore seq...
Generating high-quality reference human genomes using PromethION nanopore seq...
 
Biomicrofluidics-9-044103-2015
Biomicrofluidics-9-044103-2015Biomicrofluidics-9-044103-2015
Biomicrofluidics-9-044103-2015
 
PCR lecture.ppt
PCR lecture.pptPCR lecture.ppt
PCR lecture.ppt
 
BioSB meeting 2015
BioSB meeting 2015BioSB meeting 2015
BioSB meeting 2015
 
Fruitbreedomics workshop wp6 dna extraction methods
Fruitbreedomics workshop wp6 dna extraction methodsFruitbreedomics workshop wp6 dna extraction methods
Fruitbreedomics workshop wp6 dna extraction methods
 
DNA Cloning
DNA CloningDNA Cloning
DNA Cloning
 
whole-genome-sequencing-guide-small-genomes.pdf.pdf
whole-genome-sequencing-guide-small-genomes.pdf.pdfwhole-genome-sequencing-guide-small-genomes.pdf.pdf
whole-genome-sequencing-guide-small-genomes.pdf.pdf
 
Microarray validation
Microarray validationMicroarray validation
Microarray validation
 
NUGEN-X-Gen_2011_poster_trancriptome_sequencing_RNA-Seq
NUGEN-X-Gen_2011_poster_trancriptome_sequencing_RNA-SeqNUGEN-X-Gen_2011_poster_trancriptome_sequencing_RNA-Seq
NUGEN-X-Gen_2011_poster_trancriptome_sequencing_RNA-Seq
 
Chapter 5 bio 300 obe
Chapter 5 bio 300 obeChapter 5 bio 300 obe
Chapter 5 bio 300 obe
 
DNA Libraries / Genomic DNA vs cDNA .pdf
DNA Libraries / Genomic DNA vs cDNA .pdfDNA Libraries / Genomic DNA vs cDNA .pdf
DNA Libraries / Genomic DNA vs cDNA .pdf
 
Week2.ppt
Week2.pptWeek2.ppt
Week2.ppt
 
Nanopore Day Paris 2018 March 15th
Nanopore Day Paris 2018 March 15thNanopore Day Paris 2018 March 15th
Nanopore Day Paris 2018 March 15th
 
Bioinformatics workshop Sept 2014
Bioinformatics workshop Sept 2014Bioinformatics workshop Sept 2014
Bioinformatics workshop Sept 2014
 
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
Genome in a Bottle - Towards new benchmarks for the “dark matter” of the huma...
 
The QIAseq NGS Portfolio for Cancer Research: Sample-to-Insight for All
The QIAseq NGS Portfolio for Cancer Research: Sample-to-Insight for AllThe QIAseq NGS Portfolio for Cancer Research: Sample-to-Insight for All
The QIAseq NGS Portfolio for Cancer Research: Sample-to-Insight for All
 
iMate Protocol Guide version 2.1
iMate Protocol Guide version 2.1iMate Protocol Guide version 2.1
iMate Protocol Guide version 2.1
 

Recently uploaded

The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 

Recently uploaded (20)

The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 

BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUENCING OF GENETIC LINES OF ARABIDOPSIS THALIANA

  • 1. @NanoporeConf | #NanoporeConf Nanopore Day Paris 2018 BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY & DE NOVO SEQUENCING OF GENETIC LINES OF ARABIDOPSIS THALIANA. Baptiste Mayjonade French National Institute for Agricultural Research
  • 2. BEST PRACTICE TO MAXIMIZE THROUGHPUT WITH NANOPORE TECHNOLOGY 01
  • 3. 3 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA DNA QC : Purity and integrity DNA shearing Adapter ligation Flow cell loading DNA repair + End-Prep LIBRARY PREPARATION BluePippin step
  • 4. 4 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf DNA QC: PURITY OF THE SAMPLE IS THE KEY PARAMETER  Library prep : impurities can reduce the efficiency of the enzymatic reactions  Sequencing : pores could be very sensitive to contaminants  Ultrapure DNA is required to obtain optimal results • Nanodrop not accurate for concentrations < 20 ng/µl • A260/A230 = 2 - 2.2 (could be tricky to reach) • A260/A280 = 1.8 - 2 (if >2 RNA contamination) NANODROP QUBIT Nanodrop is accurate for pure DNA  Nanodrop concentration ≈ Qubit Fluorescence dsDNA specific
  • 5. 5 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf DNA QC: PURITY OF THE SAMPLE IS THE KEY PARAMETER Equivalent purity but different behavior during the sequencing A260/A280 = 1.93 A260/A230 = 2.05 Plant gDNA (20 kb sheared) 250 pores working (strand + single)  4-5 Gb After 5 minutes of sequencing (mux1 = 504 active pores) Even if DNA purity looks good nothing is guaranteed. A260/A280 = 1.86 A260/A230 = 2.12 Bacteria gDNA (20 kb sheared) 471 pores working (strand + single)  10-15 Gb After 5 minutes of sequencing (mux1 = 505 active pores)
  • 6. 6 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf DNA QC: INTEGRITY OF THE INPUT DNA & ASSESSMENT OF THE LIBRARY SIZE  Input material (gDNA) : • if degraded  size selection to get rid of short fragments • if no high molecular weight DNA  no long reads  Library : accurate assessment of the library mean size  convert the DNA mass to a number of molecules  using the appropriate amount of DNA as input for the library preparation gDNA sample mean size = 10kb gDNA sample mean size = 50kb 0.2 pmoles = 1.32µg 0.2 pmoles = 6.6µg Useful link: http://www.promega.com/a/apps/biomath/index.html?calc=ugpmols
  • 7. 7 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf DNA QC: INTEGRITY OF THE DNA & ASSESSMENT OF THE LIBRARY SIZE Comparison of 5 devices to assess the profile of a genomic DNA FRAGMENT ANALYSER FEMTO PULSE PIPPIN PULSECHEF MAPPER 10 kb 20 kb 50 kb 100 kb Average size = 53 000 bp 10 kb Smear = 20 – 100 kbSmear = 20 – 150 kb 50 kb 150 kb 20 kb 100 kb 50 kb Average size = 83 000 bp 48.5 kb 15 kb 97 kb 145.5 kb 100 kb20 kb 12 kb Electrophoresis Band > 12 kb
  • 8. 8 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf DNA QC: INTEGRITY OF THE DNA & ASSESSMENT OF THE LIBRARY SIZE Device Electrophoresis category Run time DNA requirement Suitable Price CLASSIC ELECTROPHORESIS 1h 100ng 0 – 12 kb ≈ 1 k€ CHEF MAPPER (BIO-RAD) Pulsed-field 16h ≈ 500 ng 0 – 10 Mb ≈ 30 k€ FEMTO PULSE (AATI) Pulsed-field capillary 2 - 3h ≈ 5 fg 0 – 150 kb ≈ 80 k€ PIPPIN PULSE (SAGE SCIENCE) Inverted 16h ≈ 100 ng 0 – 100 kb ≈ 5 k€ FRAGMENT ANALYSER (AATI) Capillary 1h ≈ 4 ng 0 – 50 kb ≈ 35 k€ FEMTO PULSE appears as the best tradeoff between analysis time, DNA requirement and resolution for large DNA fragments
  • 9. 9 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf DNA EXTRACTION KITS AND PROTOCOLS Spin column QIAGEN DNesasy Kit 12 kb 5 kb ADNg Ladder Magnetic beads QIAGEN MagAttract Flow gravity column QIAGEN Genomic-tip Sunflower Human cells E.coli https://www.protocols.io/groups/minion-user-group-with-fungi-and-plants-on-their-mind Other protocols available : (Benjamin Schwessinger)
  • 10. 10 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA DNA QC : Purity and integrity DNA shearing Adapter ligation Flow cell loading DNA repair + End-Prep LIBRARY PREPARATION BluePippin step
  • 11. 11 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf LIBRARY PREPARATION : DNA SHEARING Comparison of 2 devices G-tube (1 pass through the g-tube) Megaruptor (15 passes through hydropore) Wide distribution 30€ per sample Only a centrifuge is needed Tight distribution 10€ per sample Megaruptor device ≈ 18k$ Tight distribution = less long fragments  more efficient library preparation (?)  Upcoming new ligation kit (LSK109) more efficient for long fragments
  • 12. 12 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA DNA QC : Purity and integrity DNA shearing Adapter ligation Flow cell loading DNA repair + End-Prep LIBRARY PREPARATION BluePippin step
  • 13. 13 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf LIBRARY PREPARATION : SIZE SELECTION (BLUEPIPPIN - SAGE SCIENCE) To purify a sample : plant sample (A. thaliana) A260/A280 = 1.88 A260/A230 = 1.98 A260/A280 = 1.86 A260/A230 = 2.29 With a BluePippin step (6 Gb)Without a BluePippin step (4 Gb) 337 pores working (strand + single) After 5 minutes of sequencing (mux1 = 505 active pores) 143 pores working (strand + single) After 5 minutes of sequencing (mux1 = 497 active pores) A BluePippin step improves the purity of a DNA sample and has a positive impact on sequencing
  • 14. 14 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA DNA QC : Purity and integrity DNA shearing Adapter ligation Flow cell loading DNA repair + End-Prep LIBRARY PREPARATION BluePippin step
  • 15. 15 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf LIBRARY PREPARATION : ADAPTER LIGATION Overloading the ligation reaction could reduce the amount of DNA molecules with adapters on both ends  ≈ 0.2 pmol into the ligation reaction appears optimal (8 kb and 20 kb library)  Higher adapter concentration in the upcoming LSK109 kit (new ligation kit)
  • 16. 16 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf WORKFLOW FOR 1D LIBRARY WITH GENOMIC DNA DNA QC : Purity and integrity DNA shearing Adapter ligation Flow cell loading DNA repair + End-Prep LIBRARY PREPARATION BluePippin step
  • 17. 17 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf LIBRARY PREPARATION : FLOW CELL LOADING 45 fmols of a 20 kb library loaded onto the FC After 5 minutes of sequencing 90 fmols of a 20 kb library loaded onto the FC After 5 minutes of sequencing  Unlike other sequencing platforms (Illumina or PacBio), overloading/saturation is good :  Lifetime of a sequencing pore > lifetime of an empty pore  More pores sequencing at the same time  higher throughput Occupancy = 65% Occupancy = 80% Occupancy = Number of sequencing pores (Strand) Number of available pores (Single + Strand) should be >80%
  • 18. 18 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf LIBRARY PREPARATION : EXAMPLE OF A 20 KB LIBRARY (BACTERIA) DNA reparations AMPure XP recovery 80-100% (20 min binding/10 min elution on a rotator) If <80%, DNA is not pure or too large (>150 kb) End-Prep Adapters ligation 2.2 µg of 20 kb sheared DNA (170 fmols) 1.5 µg of 20 kb sheared DNA (110 fmols) 1.2 µg of 20 kb sheared DNA 90 fmols loaded onto the flow cell 2.4 µg of 20 kb sheared DNA (180 fmols) (recovery <80% : beads washed with ABB buffer instead of 80% ethanol) 3 µg of 20 kb sheared DNA (230 fmols) 80% 92% 68%
  • 19. 19 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf EXAMPLE OF RESULTS : MULTIPLEXING THE GENOME OF 12 BACTERIAL STRAINS  Throughput is stable and >10 Gb since MinKNOW 1.5  >500 Mb of data for each sample  Mean read lengths = 10 - 16 kb (without size selection) Mean read lengths Amount of data Yield and read lengths (MinKNOW 1.5 – LSK108 kit and Albacore v1) Yields for the last 4 runs (48h) Detail of the RUN 1 : 12.9 Gb
  • 20. USE OF THE NANOPORE TECHNOLOGY TO OBTAIN NEW REFERENCE GENOMES OF ARABIDOPSIS THALIANA : INCREASING THE POWER OF GWA MAPPING 02
  • 21. 21 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf METRICS OF THE ASSEMBLY OF A NEW REFERENCE : GENOTYPE A1-141 Raw data (2 flow cells) (Albacore v2.0) Reads >Q9 Corrected reads (Canu v1.6) Assembly (smartdenovo) Nb of reads 851 733 742 189 330 093 79 Max read length 223 941 67 237 56 518 13 866 816 N50 BP 14 159 14 295 15 357 8 826 176 N50 NUM 286 338 263 491 138 095 5 N90 BP 9 041 9 375 12 224 986 644 N90 NUM 628 950 575 508 285 194 18 MEAN 11 795 12 537 15 287 1 513 925 Total BP 10 046 292 165 9 305 065 534 5 046 155 201 119 600 115 A. thaliana depth 80X 74X 40X - 90% of the assembly in only 18 contigs
  • 22. 22 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf COMPARISON OF THE NEW GENOME WITH THE REFERENCE GENOME (COL-0, SANGER SEQUENCING) Very good collinearity at a chromosome scale Reference genome Nanoporegenome
  • 23. 23 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf ASSEMBLY METRICS FOR ANOTHER ACCESSION (SHAHDARA) Raw data (1 flow cells) (Albacore v2.0) Reads >Q9 Corrected reads (Canu v1.6) Assembly (smartdenovo) Nb of reads 505 820 402 391 302 781 102 Max read length 102 801 60 457 51 666 13 404 585 N50 BP 15 074 15 345 15 112 8 793 362 N50 NUM 126 462 111 383 91 408 6 N90 BP 6 517 7 156 7 491 482 518 N90 NUM 303 804 263 228 213 870 24 MEAN 9 735 10 910 11 644 1 147 682 Total BP 4 924 331 663 4 390 258 563 3 525 820 530 117 063 664 A. Thaliana depth 39X 35X 28X - Close metrics with 80X or 39X of data
  • 24. 24 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf COMPARISON OF THE SHAHDARA GENOME WITH THE REFERENCE GENOME (COLUMBIA) High quality genome allows to detect large structural variations ≈2 Mb Nanoporegenome Reference genome
  • 25. 25 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf 0 5000 10000 15000 20000 25000 LONG READS POTENTIAL OF THE NANOPORE TECHNOLOGY Unsheared plant gDNA with 1D kit (LSK108) 0 20000 40000 60000 80000 100000 120000 140000 21 783 reads > 50 kb (= 1.6 Gb) 1 962 reads >100 kb (= 0.23 Gb) Raw data : • Total yield = 4.2 Gb • N50 = 39.3 kb • Max = 291 kb
  • 26. 26 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf LONG READS POTENTIAL OF THE NANOPORE TECHNOLOGY Unsheared plant gDNA with 1D kit (LSK108) Blast of a 250kb reads
  • 27. 27 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf ACKNOWLEDGMENTS Cécile Donnadieu, Catherine Zanchetta, Maxime Manno, Alain Roulet, Céline Lopez-Roques, Céline Vandecasteele, Gérald Salin, Claire Kuchly, Pauline Heuillard Christophe Klopp William Marande, Sandrine Arribat, Hélène Bergès Jérôme Gouzy, Sébastien Carrere, Fabrice Roux, Claudia Bartoli, Cyril Libourel, Léa Frachon, Tatiana Vernié, Jaishree Subrahmaniam
  • 28. 28 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf28 │ Nanopore Day Paris 2018 │ @NanoporeConf #NanoporeConf The content contained in this presentation should not be reproduced without permission of the speaker. © Copyright 2017 Oxford Nanopore Technologies. The MinION, GridION, PromethION and VolTRAX are for research use only. THANK YOU