lab in a suitcase and other adventures with nanopore sequencing

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Lab in a Suitcase and Other Adventures with Nanopore Sequencing Josh Quick University of Birmingham

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Page 1: Lab in a Suitcase and Other Adventures with Nanopore Sequencing

Lab in a Suitcase and Other Adventures with Nanopore Sequencing

Josh QuickUniversity of Birmingham

Page 2: Lab in a Suitcase and Other Adventures with Nanopore Sequencing

Oxford Nanopore MinION

Unique properties:• Real-time• Portable• Long reads

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Real-time sequencing

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PHE

Surv

eilla

nce

Out

brea

k

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Library prep time: 92 minutes

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Moving to real-time sequencing ….

1x

2x

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Serogroup IDAlign MinION reads to S.enterica reference genome. Phylogenetic placement with pplacer

Within 40 mins we could identify the strains as serotype Enteritidis

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Outbreak IDAlignment of MinION reads to Salmonella Enteritidis reference genome. Phylogenetic placement with pplacer

Within 100 minutes the outbreak strains was unambiguously part of the national 14b cluster (RED) and the sporadic cases (BLUE) was indeed sporadic

Quick et al – Genome Biology

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De novo assembly

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Nanopore assembly pipeline

Error correction

Celera Assembler

Consensus

Input reads

Genome Assembly

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Input Data• First challenge is finding overlaps for reads with 15-20% errors

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Partial Order Graphs

maximum weight path GCTCGAT is the corrected read

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Error Correction

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Contig Assembly

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Celera Assembler produces one contig at 98.5% identity

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Selecting a Consensus

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Mutate

ACTACGATCGACTTACGACCTACGATCGACTTACGATCTACGATCGACTTACGA

...-CTACGATCGACTTACGAG-TACGATCGACTTACGAGC-ACGATCGACTTACGAGCT-CGATCGACTTACGA

...GACTACGATCGACTTACGAGCCTACGATCGACTTACGAGGCTACGATCGACTTACGAGTCTACGATCGACTTACGA

-190-192-171 -176-191-193-168 -198-191-195-181

GCTACGATCGACTTACGA

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Assembly AccuracyDraft: 98.5% accuracy Polished: 99.5% accuracy

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Assembly Accuracy

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3khz / MAP-004 update

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Ebola

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DSTL Porton Down Protocol Development

• Two approaches tried on archived Ebola RNA:– Genome tiling RT-PCR amplicons– Direct metagenomics: total RNA sequencing of Ebola-

spiked sample• Validation with MiSeq

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Guinea 11 reactions v2, 98.4% coverage

Guinea 19 reactions v1, 98.1% coverage

Guinea 11 reactions v1, 95.9% coverage

Porton Down validation set, 89.1% coverage

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Sample Scheme Transferred reads

Mean coverage

Aligned 2D passing

Mismatch rate

014370 19rx 10,000 372x 6,929 (69%) 9%

015802 11rx 10,000 345x 4,200 (42%) 11.7%

004674 11rx 5,000 219x 2,647 (52%) 10.1%

015815 11rx 10,000 347x 4,256 (42%) 10.2%

015972 11rx V2 5,000 178x 2,038 (40%) 8.7%

015986 11rx V2 5,000 211x 2,438 (48%) 9.1%

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RT-PCR

Quantification and pooling

Library preparation

MinION sequencing

Upload data

Basecalling

MarginAlign

MarginCaller

Manual inspection

Consensus

ML tree

3 hours

1 hour

2 hours

15-60m

30-120m

20m

1 hour

Jain et al. – Nature Methods

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0.0001

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microreact.org Mixing between Kambia and Forecariah casesGuinea ‘lineage A’ present in SL

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Bioinformatics opportunities

• Squiggle space alignment without base calling• Variant calling from squiggles• Run-until for pool balancing• HMM can also align events to a reference

genome

– Read about it here:• http://simpsonlab.github.io/2015/04/08/eventalign/

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AcknowledgementsBirmingham• Nick Loman

OICR• Jared Simpson

DSTL Porton Down• Simon Weller• Jamie Taylor• Phil Rachwal• Carl Mayers

Public Health England• Miles Carroll

EMLab• Sophie Daffour

• Martin Gabriel• Stefan Gunther

Edinburgh• Andrew Rambaut

Liverpool• Julian Hiscox• Georgios Pollakis

Bristol• Dave Matthews

Oxford Nanopore• Lots

http://ebola.nextflu.org/