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Sequencing

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11th Annual <strong>Sequencing</strong>, Finishing, and Analysis in the Future Meeting<br />

EVALUATION AND OPTIMIZATION OF THE<br />

ILLUMINA NEXTSEQ 500 SYSTEM FOR NEXT<br />

GENERATION SEQUENCING (NGS)-BASED<br />

SURVEILLANCE OF INFLUENZA<br />

Wednesday, 1st June 20:00 La Fonda Mezzanine (2nd Floor) Poster (PS‐2b.02)<br />

Background‐<br />

Shoshona Le, Thomas Stark, Samuel Shepard, Elizabeth Neuhaus,<br />

David E Wentworth, John Barnes 1<br />

Centers for Disease Control and Prevention<br />

The CDC Influenza Division (ID) currently utilizes Next Generation <strong>Sequencing</strong> (NGS) techniques<br />

to conduct genetic surveillance of circulating influenza virus strains. As a World Health Organization<br />

(WHO) Collaborating Center, ID receives between 8,000 and 10,000 specimen submissions per year<br />

for surveillance of influenza. ID has implemented a high throughput pipeline to meet this demand<br />

that is based on processing 96 influenza samples/controls per run across two Illumina MiSeq<br />

instruments, to generate all of the sequencing data used for influenza genetic characterization. For<br />

the Northern Hemisphere influenza 2015‐2016 season (October‐April), ID generated complete<br />

influenza genomes of over 3,500 viruses using this NGS pipeline, totaling more than 30,000 genome<br />

segments available for influenza analysis. During the peak of the influenza season, the high volume of<br />

influenza samples resulted in 12 MiSeq runs during a single month, with a large number of<br />

specimens still awaiting processing. The Illumina NextSeq 500 was procured in an effort to mitigate<br />

this issue, as it has 10‐15 times more data output of the current MiSeq in roughly the same run<br />

time. Because the NextSeq instrument differs significantly from the MiSeq instrument in the method<br />

of measuring fluorescence signals from the flowcell, assessments were conducted to determine whether<br />

the NextSeq would have any adverse effects on the influenza genetic data upon integration into the<br />

ID pipeline.<br />

Methods‐<br />

To compare the data quality between the MiSeq and the NextSeq 500 instruments, libraries that<br />

had been prepared and previously run on the Miseq were re‐sequenced on the NextSeq, utilizing a<br />

loading workflow that was modified according to Illumina specifications. Pools of 96 samples that<br />

had been barcoded using an Illumina single index kit were run, then expanded to quad‐pools of 384<br />

samples that had been barcoded utilizing Illumina Nextera A, B, C, and D 96‐index kits. Quality<br />

of the data and quantity of the reads were compared between the instruments, as well as consensus<br />

sequences, subpopulations, and coverage of the influenza genomes sequenced. Further comparisons<br />

between NextSeq v1 and NextSeq v2 chemistry were also examined.<br />

Conclusions‐<br />

The NextSeq 500 System offers a cost efficient NGS‐based strategy for increasing the capacity of<br />

influenza NGS pipelines, and likely other viral pipelines, without sacrificing data quality or quantity.<br />

Its optimizable workflow, capability to provide a 10‐fold increase in data generation, and capacity<br />

to quadruple sample number per sequencing run, yet improve coverage enables high throughput<br />

sequencing to meet the demand for global surveillance of the influenza A and B viruses at less than<br />

half the cost of multiple MiSeq runs.<br />

90

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