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Next Generation Sequencing to Identify Viruses Associated
with Bovine Respiratory Disease
Kansas State Veterinary Diagnostic Laboratory
Ben Hause, MS, PhD
Next Generation Sequencing
• NGS generates massive amounts of sequence data
– Sanger= 1 read, ~800bp
– NGS=1M reads, 300bp
• NGS can be sequence dependent or independent
– Don’t need to know what your sequencing
– Unique to this technology
• Amount of data for $
– PRRS ORF5
• Sanger $182/600bp=$0.30/bp
• NGS: $300/15400bp=$0.02/bp
• More comprehensive picture of virus: whole genome vs. 1 gene
• Ability to detect multiple viruses or quasispecies
• Metagenomic sequencing: sequencing material directly recovered from the environment
– Nasal swab
Metagenomic viral
RNA and DNA
(sample pretreated
with DNase/RNase
cocktail
Random hexamer with
5’-20bp barcode
Reverse Transcription and
Second Strand Synthesis
(RNA -> cDNA->dsDNA)
PCR Amplification
using primer identical
to 20bp barcode
Amplicon pools
generated from
randomly amplified
virus nucleic acid
Data analysis
• De novo assembled sequences into contigs
• Analyze contigs by BLASTN
• Reassemble with best BLAST hit as a reference
Full genome sequence of porcine parainfluenza 1 (PPIV1)
virus from a nasal swab
• 11 M reads
• 52,111 mapped to PPIV1
– 0.45% reads
• 361x average coverage
Next Generation Sequencing for
Characterization of the Viral Ecology of Swine
at Slaughter
• Slaughter facilities in SE US often close in proximity to commercial
production facilities
• Common transport
• Sites of co-mingling
• Metagenomic sequencing of fecal/nasal swabs from 5 swine markets
in NC
– 2 slaughterhouses for healthy pigs (primary market)
– 2 cull slaughterhouses (secondary market)
– 1 buying station
• 5 pigs (nasal swab and fecal swab) per producer per site
– 5 producers per site
– 250 total swabs, analyzed in 50 pools (25 nasal, 25 rectal swab pools)
– 2 samplings, June/August, 2015
– Samples collected by veterinarian; animals fit for slaughter
Emerging Infectious Diseases, accepted
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Virus detection in primary markets
Virus detection in secondary markets
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ssDNA virus bocavirus torovirus posavirus torque teno sus virus
IAS virus picobirnavirus teschovirus enterovirus parvovirus pasivirus influenza A virus
sapleovirus hokovirus
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• Large numbers of viruses identified=Virus Soup!
• Seneca valley virus identified from both samplings from 4/5
markets by sequencing
• qRT-PCR for SVV
– 26/50 (52%) June sampling
– 18/50 (36%) August sampling
• Primary market=1/40 (2.5%)
• Secondary market=43/60 (72%)
• Virus isolation, second sampling
– Positive for 5 samples (Ct values ~15-20)
• SVV much more common in lower health status pigs?
– Oral fluid testing for SVV, ~1% positive (ISU/UMN/SHIC)
– Cause versus effect???
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SVV PCR Ct
pcr vs ngs
NGS sensitivity on par with qRT-PCR
Metagenomic characterization of the virome associated with bovine
respiratory disease in feedlot cattle identified novel viruses
• BRD is the most costly disease of the cattle industry
• Widespread use of MLV vaccines for 20+ years; incidence is increasing – Combos of live/inactivated
• Bovine viral diarrhea virus
• Bovine herpesvirus 1
• Parainfluenza virus 3
• Bovine respiratory syncytial virus
• Mannheimia haemolytica
• Histophilus somni
• Pasteurella multocida
• Mycoplasma bovis
• BRD has complex pathogenesis – Host factors
– Environmental factors
– Pathogen factors
Can we use metagenomic sequencing to identify
pathogens associated with BRD?
• Experimental design
– 5 feedlots in Mexico and 5 feedlots in the U.S. (500-800# cattle)
– Nasal swabs collected from 5 animals with acute respiratory disease and 5 healthy pen mates at
each feedlot (n=100)
– Viral metagenomic sequencing
OR=2.9 P=0.134
OR=4.2 P=0.212
Vx Vx Vx Vx
OR=1.7 P=0.259
OR=2.62 P=0.265
• IDV only virus with even moderately correlated with BRD
• qRT-PCR to verify sequencing result
– 8 sick animals positive (Ct=20.3-36.6)
– 3 health animals positive (Ct=34.6-37.0)
• Difference in IDV titer (Ct values) in nasal swabs between sick and healthy animals?
– Wilcoxson test: P=0.04
• IAV titers higher in humans with influenza-associated pneumoniae vs. upper respiratory tract infection (Li et
al., 2010, Emerg Infect Dis 16:1265-1272)
IDV HEF Phylogeny
BRAV USII/02 (KU159364)
BRAV USII/09
BRAV USII/19
BRAV USII/18-2
BRAV USII/15
BRAV USII/12
BRAV BS02
BRAV USII/06
BRAV BS06
BRAV BS12
BRAV BSRI4 (KP264974)
BRAV BS07
BRAV USII/10
BRAV Sd-1 (KP236128)
BRAV BS16-2 (KU159362)
BRAV BS19
BRAV BS17
BRAV BS16-1
BRAV USII/05
BRAV USII/18-1
BRAV USII/20
BRAV 140032-1 (KP236129)
BRAV H-1 (JN936206)
BRAV MexB15 (KU159363)
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BRAV1
BRAV2
BRBV BSRI1 (KP264980)
BRBV USII/03
BRBV BS10
BRBV USII/17
BRBV NIH (NC 010354)
BRBV BRV2 (EU236594)
BRBV MexB49
BRBV USII/13
BRBV USII/12
BRBV 140032-2 (KP236130)
BRBV MexB48 (KU159361)
BRBV BSRI3 (KP264975)
BRBV MexB09 (KU159360)
BRBV MexB29 (KU159358)
BRBV USII/19 (KU159359)
BRBV USII/05
BRBV MexB10 (KU159357)
BRBV MexB39
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BRBV1
BRBV2
Fig.2(a) Fig.(2b)
Proposed new genotype/serotype
Enterovirus E K2577 (AF123432)
Enterovirus E LC-R4 (DQ092769)
Enterovirus E Vir404/03 (DQ092771)
Enterovirus E PS83 (DQ092793)
Enterovirus E PS42 (DQ092792)
Enterovirus E MexKSU/5 (KU172420)
Enterovirus E VG5-27 (D00214)
Enterovirus F BEV261 (DQ092770)
Enterovirus F IL/alpaca (KC748420)
Enterovirus F PS87 (AY508696)
Enterovirus F PS87/Belfast (DQ092794)
Enterovirus G (KF985175)
Enterovirus A (NC 001612)
Enterovirus B (AY843298)
Enterovirus J N125 (AF414372)
Enterovirus H (NC 003988)
Enterovirus D (NC 001430)
Enterovirus C/Poliovirus (NC 002058)
Enterovirus C/coxsackievirus A13 (DQ995644)
Rhinovirus B R93 (KF958309)
Rhinovirus A hrv-A101-v1(GQ415052)
Rhinovirus C JAL-1 (JX291115)
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Enterovirus E PS83 (DQ092793)
Enterovirus E PS42 (DQ092792)
Enterovirus E K2577 (AF123432)
Enterovirus E D14/3/96 (DQ092786)
Enterovirus E Vir404/03 (DQ092771)
Enterovirus E VG5-27 (D00214)
Enterovirus E LC-R4 (DQ092769)
Enterovirus E MexKSU/5 (KU172420)
Enterovirus F PS87/Belfast (DQ092794)
Enterovirus F PS87 (AY508696)
Enterovirus F BEV261 (DQ092770)
Enterovirus F IL/alpaca (KC748420)
Enterovirus G (KF985175)
Enterovirus A (NC 001612)
Enterovirus J N125 (AF414372)
Enterovirus D (NC 001430)
Enterovirus H (NC 003988)
Enterovirus C/Poliovirus (NC 002058)
Enterovirus C/coxsackievirus A13 (DQ995644)
Enterovirus B (AY843298)
Rhinovirus C JAL-1 (JX291115)
Rhinovirus A hrv-A101-v1(GQ415052)
Rhinovirus B R93 (KF958309)
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Fig.3(a) Fig.3(b)
New genotype?
Polymerase phylogeny
Capsid phylogeny
New species
First detection in North America
Parvoviridae Phylogeny
NGS/Metagenomic Sequencing
• Powerful method for veterinary diagnostics
• Complete viral genome sequencing – Isolated virus
– Directly from clinical samples (with sufficient viral titer)
• Cases with unknown etiology – Unusual clinical presentation
– Clinical symptoms with absence of usual suspects
• Profiling animal/herds – Live exposure (rotavirus, PEDV, PDCoV, PRRSV)
• Screening for foreign animal diseases
• Affordable – $300/sample
– Alternative: multiple PCRS, histopathology, culture, VI, etc., can easily reach $300
• Need more widespread use!
• Ampliseq:
– Highly multiplexed PCR (1<primers<6,144)
– Amplicon sequencing with Ion Torrent PGM
– Widely used for cancer/inherited disease panels in humans
– Can we adapt to use for pathogen detection/characterization?
• Custom primer panel for BRD viruses/bacteria
• Conserved/variable regions
– Issues:
• Targets will be highly variable
– Primer redundancy
• Targets will often be present in low amounts
AmpliSeq: a hybrid between metagenomic
sequencing and PCR panels?
• AmpliSeq benefits
– Cost: sequence with
AmpliSeq pool for ~$50
– Turnaround time: ~1-2 days
– Data analysis: simple
templated assembly (a
couple minutes per sample)
• Ampliseq drawbacks
– Targeted
• Miss divergent pathogens
• Miss pathogens not
targeted
• Miss novel agents
• MiSeq drawbacks
• Time to results: 1-2 weeks
• Cost
• $300 metagenomic sequencing vs. $80
BRD panel
• Data analysis:
• Map reads to host
• De novo assembly
• BLAST
Goal: Highly multiplexed assay for BRD
detection and genetic characterization
• Proof of concept successful
• More development/characterization required:
– Ability to detect all viruses
– Ability to detect variant viruses
– Sensitivity
– Specificity
– Efficiency/user-friendliness
• automation
Acknowledgements
• Kansas State University • Dr. Dick Hesse
• Dr. Lalitha Peddireddi
• Dr. Jianfa Bai
• Dr. Emily Collin
• Rachel Palinski
• Dr. Namita Mitra
• Aiswaria Padmanabhan
• Veterinarians • Dr. Josh Duff
• Dr. Chad Smith
• Dr. Bob Smith
• National Pork Board grant #14-204
• Zoetis
• Boehringer Ingelheim
• Merck Animal Health
• Lapisa