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Sponsored by NIFA grant # 2013-68004-20362
Genetically Improving Resistance of Pigs to
PRRS Virus Infection 2013-2017
Dr. Margo Holland, NIFA Program Leader
Translational Research:
The Genetics of Disease Resistance;
Updates on Current Progress
and a Vision for the Future
Use genomics to identify genes / genomic regions associated
with resistance / susceptibility to PRRS virus infection
Led by
Joan Lunney – USDA – ARS Beltsville
Bob Rowland – Kansas State University
Jim Reecy – Iowa State University
Jack Dekkers – Iowa State University
Strong Industry Participation
PHGC Breeding Companies
Fast Genetics, Genesus, Choice Genetics
PIC/Genus, TOPIGS, PigGen Canada
60 k SNP chip
Illumina
GeneSeek
2007
Evolution of PRRS
Host Genetics Research
1. Experimental infection of nursery pigs with NVSL
1. Experimental infection of nursery pigs with KS06
1. Experimental co-infection of nursery pigs: PRRS + PCV2 (incl. PRRS vaccination)
1. Field trials
2. Natural Challenge Model
NIFA
NIFA
NIFA
Trial Number n Breed PRRSv Isolate
1-3 530 LW x LR
NVSL
4 195 Duroc x LW/LR
5 184 Duroc x LR/LW
6 123 LR x LR
7 194 Pietran x LW/LR
8 188 Duroc x LW/LR
15 184 LR x LW
10 176 LR x LW
KS06
11 176 LW x LR
12 174 LR x LW
14 180 Duroc x LR/LW
Funding Industry Partners
NIFA
Thanks to all Partners
Iowa State University
Nick Serao
Jim Reecy Chris Tuggle
Susan Carpenter
Kansas State University
Bob Rowland PRRS group
USDA-ARS
Joan Lunney group
University of Alberta
Graham Plastow group
Univ. Saskatchewan
John Harding group
Roslin Institute
Steve Bishop
Andrea Doeschl-Wilson
Univ. Minnesota
Monserat Torremorrell
Scientific
Collaborators
PRRS overview and description of disease phenotypes
and models for genetic research Bob Rowland – Kansas State University
Probing mechanisms of PRRS resistance Joan Lunney – USDA ARS BARC
New PRRS disease phenotypes as vaccine and genetic improvement targets
Andrea Wilson – Roslin Institute
Resilience and PRRS in a natural disease challenge model
Graham Plastow – University of Alberta
Viral genetics and application to vaccine development
Jay Calvert – Zoetis
PRRS genetic resistance: an online class at destination of swine experts
and professionals Perle Boyer – University of Minnesota
Using genetic selection and genomics to combat infectious disease
Jack Dekkers – Iowa State University
The Genetics of Disease Resistance
Updates on Current Progress and a Vision for the Future
PRRS overview and description of
disease phenotypes and models for
genetic research
Raymond (Bob) Rowland
December 1-3, 2017
Intercontinental Chicago Magnificent Mile
Guest Editors:
Raymond (Bob) Rowland
Joan Lunney
Editor: X.J. Meng
Alternative Strategies for the Control of PRRS
Rodarterivirus
Arterivirus
LDV
PRRSV
SHFV
EAV
Suid
Muroid
Reorganization and expansion of the
nidoviral family Arteriviridae.
Kuhn JH, et al. 2016.
Arch Virol. 161:755-68
PRRSV-1
PRRSV-2
Changes in Weight Distribution after Infection
“Reproductive Failure of Unknown
Etiology”
Kerry K. Keffaber, 1989, AASP
1. Influenza-like clinical signs
2. Mid- to late-term abortions
3. Pre-weaning mortality
4. Poor growth performance
Porcine reproductive
and respiratory syndrome (PRRS)
$14 billion in losses ($600million/year)
PRRS is a production system disease
Endemic phase with outbreaks of severe disease
2003-Eric Neumann
Stealthy
Easily transmitted
Persistent
Participates in polymicrobial diseases
Viremia
Day after infection
Persistence in a
production system
Persistence in a
population and
within a pig
Corn Prices
The greatest cost of PRRSV is wasted feed
Sick and dead pigs, Slow growing pigs
Secondary infections
Nutritional, Environmental and Social
Impacts
Vaccines
Detection
Ecology
Epidemiology
Biosecurity
Sociology Resistance
Tolerance
Resilience
Vaccine readiness
Genome editing
Feed efficiency
Feed formulation
Microbiome
Nutritional Program
Disease Control
Pig Genetics
Nutrition
Integrated approach
to PRRS control
Rodarterivirus genome organization-PRRSV
1a
1b
2a
2b 3
4 5
6
7
5’ UTR
pA
1/5 of the genome
3’ UTR
2b GP2 GP3 GP4 GP5 M N
pA
pA
pA
pA
pA
pA
3
4
5
M
N
15 kb genome
nsp2
5
a
2
PRRS vaccines
• Modified live virus (MLV) vaccine introduced in the U.S.1994-
approved for use in PRRSV-infected herds
• MLV limitations-virus shedding, persistent infection, incomplete
immune protection, inability to differentiate infected from vaccinated
animals (DIVA), potential for reversion to virulence
• Killed vaccines are not effective
• Subversion of host immunity and antigenic variation have made
further advances in vaccines difficult to achieve
The application of genetics for improving animal
health
•Marker selected breeding to improve response to infection
•Genetic modification
Insertion of genes or alleles that promote resistance
Deletion of genes involved in virus susceptibility
2007-PRRS Host Genetics Consortium (PHGC)
Joan Lunney, Bob Rowland, Jack Dekkers, NPB
“Integrating state of the art genomics with state of the art
virology”
• Develop marker-assisted breeding tools
PRRS-resistant pig
PRRS-tolerant or resilient pig
Vaccine-ready pig
• Identify new host response pathways to aid vaccine development
(RNA-Seq)
• Create a community resource of data and sample repositories for
future research
Models for the study of genetics (PHGC)
• Nursery pig model (PRRSV infection) -3200 pigs-16 trials
• Field models- 1,000 pigs
• Dual-infection disease model- 1,000 pigs
All pigs and parents are genotyped for >60,000 SNPs using the Porcine
SNP60 BeadChip (Illumina Corp)
Well-characterized PRRSV-2 isolates, NVSL, KS06, KS62
Genome-wide association studies (GWAS)
PHGC data/sample collection timeline
Nursery model
-7 0 7 11 14 21 35 424 28
Acclimation
Weight
Blood,
Tempus (RNA)
Weight
Blood
Tempus
Weight
Blood
Tempus
Weight
Blood
Tempus
Weight
Blood
Tempus
Weight
Blood
Tempus
Weight
Blood
Tempus
TonsilsBlood
Tempus
Blood
Tempus
Infection
Acute Infection
Rebound
Persistence
Oral fluid samples
Fecal samples
Phenotypic data-sample types
• Serum- virus, cytokines, antibody, etc.
• Whole blood- PBMC
• Whole blood RNA preserved in Tempus tubes- RNA-Seq
• Oral fluid – virus, antibody
• Feces- caloric retention, microbiome
• Tonsil- persistent infection
• Other tissues
Phenotypic data
• Reproducible (commercial kits or standard diagnostic tests)
Tetracore PCR
• Transferable (pool data from different studies)
• Cost-effective
Weighing a pigs is cheap, but commercial tests may be expensive
• Collection is non-terminal and “non-invasive”
Phenotypic data-types
• Binary- live versus dead
• Qualitative (subjective) – clinical scores
• Quantitative- weight gain, virus load, antibody levels
Nursery model-Deep phenotyping for analysis of
disease traits
• Morbidity and mortality
• Viremia, qRT-PCR log PRRSV RNA templates/rxn
• Virus Load in serum, area under the virus PCR curve (AUC) for the
first 21 days
• Weight (weekly) – average weight gain (WG)
• Total antibody and virus neutralizing activity (42 dpi)
• Circulating cytokine levels
• Virus level in tonsil (persistence)
• “Ultra-deep” phenotyping-Transcriptome analysis (whole blood and
tonsil)
Nursery pig model
NVSL 97-7895 (1,499 pigs)
KS 2006 (845 pigs)
Viral load-area under the curve (graph)
(AUC)
Quantified as area under the
curve from day 0 to 21
Criteria for pigs
• 200 pigs per trial
• ~6 pigs/litter from a limited number of sires
• Mated with 2-3 dams/sire
• Pig sources provide pedigree information and DNA from the
parents for later genotyping analyses
• Weaned pigs are of a “high-health” status and free of PRRSV,
Mycoplasma hyopneumoniae and swine influenza virus (SIV)
• No pre-selection for a PRRS-associated trait
viremia
weight
rebound
Nursery pig model
Phenotypic variation
predicts
genetic variation
200 pigs per trial
Nursery pig model-The host responses, virus load and
weight gain, are moderately inherited traits
• Approximately 40% of how a pig responds to PRRSV infection is
inherited
• The remaining 60% is dependent on
Maternal effects
Environment
Virus
• Impact- breed pigs for improved disease resistance
Nursery pig model-Regions on the swine genome
associated with weight gain and virus load
ProportionofGenetic
Variance
ProportionofGenetic
Variance
5-SNP window ordered by chromosome5-SNP window ordered by chromosome
GWAS Viral Load (AUG) GWAS Weight Gain (WG)
SSC 4
SSC 4
SSC X
SSC 17
SSC 1
Boddicker, et al. 2012. J Anim Sci. 90:1733-1746.
Weight gain and virus load
locate to the same marker
on chromosome 4 WUR10000125
5
10
15
20
25
0
1
2
3
4
5
6
7
0 5 10 15 20 25 30 35 40
Weight(kg)
Viremia(Log10Templates/ml,qPCR)
Days Post Infec on
AA AB
WUR SNP GenotypeViremia
Weight
The favorable SSC4 marker, WUR, results in a 10%
increase in weight and a decrease in viremia
Boddicker, et al. 2012. Anim Sci. 90:1733-1746
EXON 9 EXON 10
281 bp
The unfavorable genotype is composed of exon 9/10 splice variations
that create premature stop codons
Globular
Domain
Helical Domain CAAX
Stop
Guanylate binding protein 5 (GBP5)
Anti-PRRSV activities of GBP5
Serum
Days
post 0 7 14 21 28 42 60 90 Market
arrival
Serum
Serum
Serum
Serum
Field model
200 pigs placed in a “health-challenged” barn
NIFA
Serum
Serum
Serum
Serum
weight
50 pigs200 pigs
Arriv
eVacci-
nate
Days post
vaccination -1 0 4 7 11 14 21 28 32 35 39 42 49 56 63 70
Days post
infection 0 4 7 11 14 21 28 35 42
Infect
Vaccination response Vaccination + infection response
Early response Later response
Body weight and Blood samples
Dual infection (PCVAD) model
50 pigs AA Non-vaccinated 50 AB
50 pigs AA Vaccinated (PRRS MLV) 50 AB
GBP5 (-) GBP5 (WT)
= 200 pigs
Clinical signs, survival, viremia
PRRS
PCVAD
%Survival
No MLV
MLV
GWAS-PCV2 viral load
7
Chromosome
7
2017
December 7, 2015
Virus Antibody
No CD163
No PRRSV
CD163-Positive No CD163
Oct. 2107
Reproductive PRRS-
Infection of dam at 90 days gestation
109 days gestation
Preventing reproductive PRRS
Prevention of reproductive PRRS
Dam Fetus
++ ++
-- +/-
-- -/-
The end of a disease
• The absence of CD163 in the dam surrounds the developing
fetus with a protective barrier, preventing infection with
PRRSV
• The piglets are born with normal CD163 levels and are
susceptible to PRRSV
• Still need that miracle vaccine
Co-Directors
USDA ARS BARC
Joan Lunney
Kansas State University
RRR (Bob) Rowland
Iowa State University
Jack Dekkers
• NIFA award #2013-68004-20362
• National Pork Board
• Genome Canada
• LLNL
• Genus PIC
The Rowland Lab

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Dr. Jack Dekkers and Dr. Bob Rowland - Introduction of the Program

  • 1. Sponsored by NIFA grant # 2013-68004-20362 Genetically Improving Resistance of Pigs to PRRS Virus Infection 2013-2017 Dr. Margo Holland, NIFA Program Leader Translational Research: The Genetics of Disease Resistance; Updates on Current Progress and a Vision for the Future
  • 2. Use genomics to identify genes / genomic regions associated with resistance / susceptibility to PRRS virus infection Led by Joan Lunney – USDA – ARS Beltsville Bob Rowland – Kansas State University Jim Reecy – Iowa State University Jack Dekkers – Iowa State University Strong Industry Participation PHGC Breeding Companies Fast Genetics, Genesus, Choice Genetics PIC/Genus, TOPIGS, PigGen Canada 60 k SNP chip Illumina GeneSeek 2007
  • 3. Evolution of PRRS Host Genetics Research 1. Experimental infection of nursery pigs with NVSL 1. Experimental infection of nursery pigs with KS06 1. Experimental co-infection of nursery pigs: PRRS + PCV2 (incl. PRRS vaccination) 1. Field trials 2. Natural Challenge Model NIFA NIFA NIFA Trial Number n Breed PRRSv Isolate 1-3 530 LW x LR NVSL 4 195 Duroc x LW/LR 5 184 Duroc x LR/LW 6 123 LR x LR 7 194 Pietran x LW/LR 8 188 Duroc x LW/LR 15 184 LR x LW 10 176 LR x LW KS06 11 176 LW x LR 12 174 LR x LW 14 180 Duroc x LR/LW
  • 4. Funding Industry Partners NIFA Thanks to all Partners Iowa State University Nick Serao Jim Reecy Chris Tuggle Susan Carpenter Kansas State University Bob Rowland PRRS group USDA-ARS Joan Lunney group University of Alberta Graham Plastow group Univ. Saskatchewan John Harding group Roslin Institute Steve Bishop Andrea Doeschl-Wilson Univ. Minnesota Monserat Torremorrell Scientific Collaborators
  • 5. PRRS overview and description of disease phenotypes and models for genetic research Bob Rowland – Kansas State University Probing mechanisms of PRRS resistance Joan Lunney – USDA ARS BARC New PRRS disease phenotypes as vaccine and genetic improvement targets Andrea Wilson – Roslin Institute Resilience and PRRS in a natural disease challenge model Graham Plastow – University of Alberta Viral genetics and application to vaccine development Jay Calvert – Zoetis PRRS genetic resistance: an online class at destination of swine experts and professionals Perle Boyer – University of Minnesota Using genetic selection and genomics to combat infectious disease Jack Dekkers – Iowa State University The Genetics of Disease Resistance Updates on Current Progress and a Vision for the Future
  • 6. PRRS overview and description of disease phenotypes and models for genetic research Raymond (Bob) Rowland December 1-3, 2017 Intercontinental Chicago Magnificent Mile
  • 7. Guest Editors: Raymond (Bob) Rowland Joan Lunney Editor: X.J. Meng Alternative Strategies for the Control of PRRS
  • 8. Rodarterivirus Arterivirus LDV PRRSV SHFV EAV Suid Muroid Reorganization and expansion of the nidoviral family Arteriviridae. Kuhn JH, et al. 2016. Arch Virol. 161:755-68 PRRSV-1 PRRSV-2
  • 9. Changes in Weight Distribution after Infection “Reproductive Failure of Unknown Etiology” Kerry K. Keffaber, 1989, AASP 1. Influenza-like clinical signs 2. Mid- to late-term abortions 3. Pre-weaning mortality 4. Poor growth performance Porcine reproductive and respiratory syndrome (PRRS) $14 billion in losses ($600million/year)
  • 10. PRRS is a production system disease Endemic phase with outbreaks of severe disease 2003-Eric Neumann Stealthy Easily transmitted Persistent Participates in polymicrobial diseases Viremia Day after infection Persistence in a production system Persistence in a population and within a pig
  • 11. Corn Prices The greatest cost of PRRSV is wasted feed Sick and dead pigs, Slow growing pigs Secondary infections Nutritional, Environmental and Social Impacts
  • 12. Vaccines Detection Ecology Epidemiology Biosecurity Sociology Resistance Tolerance Resilience Vaccine readiness Genome editing Feed efficiency Feed formulation Microbiome Nutritional Program Disease Control Pig Genetics Nutrition Integrated approach to PRRS control
  • 13. Rodarterivirus genome organization-PRRSV 1a 1b 2a 2b 3 4 5 6 7 5’ UTR pA 1/5 of the genome 3’ UTR 2b GP2 GP3 GP4 GP5 M N pA pA pA pA pA pA 3 4 5 M N 15 kb genome nsp2 5 a 2
  • 14. PRRS vaccines • Modified live virus (MLV) vaccine introduced in the U.S.1994- approved for use in PRRSV-infected herds • MLV limitations-virus shedding, persistent infection, incomplete immune protection, inability to differentiate infected from vaccinated animals (DIVA), potential for reversion to virulence • Killed vaccines are not effective • Subversion of host immunity and antigenic variation have made further advances in vaccines difficult to achieve
  • 15. The application of genetics for improving animal health •Marker selected breeding to improve response to infection •Genetic modification Insertion of genes or alleles that promote resistance Deletion of genes involved in virus susceptibility
  • 16. 2007-PRRS Host Genetics Consortium (PHGC) Joan Lunney, Bob Rowland, Jack Dekkers, NPB “Integrating state of the art genomics with state of the art virology” • Develop marker-assisted breeding tools PRRS-resistant pig PRRS-tolerant or resilient pig Vaccine-ready pig • Identify new host response pathways to aid vaccine development (RNA-Seq) • Create a community resource of data and sample repositories for future research
  • 17. Models for the study of genetics (PHGC) • Nursery pig model (PRRSV infection) -3200 pigs-16 trials • Field models- 1,000 pigs • Dual-infection disease model- 1,000 pigs All pigs and parents are genotyped for >60,000 SNPs using the Porcine SNP60 BeadChip (Illumina Corp) Well-characterized PRRSV-2 isolates, NVSL, KS06, KS62 Genome-wide association studies (GWAS)
  • 18. PHGC data/sample collection timeline Nursery model -7 0 7 11 14 21 35 424 28 Acclimation Weight Blood, Tempus (RNA) Weight Blood Tempus Weight Blood Tempus Weight Blood Tempus Weight Blood Tempus Weight Blood Tempus Weight Blood Tempus TonsilsBlood Tempus Blood Tempus Infection Acute Infection Rebound Persistence Oral fluid samples Fecal samples
  • 19. Phenotypic data-sample types • Serum- virus, cytokines, antibody, etc. • Whole blood- PBMC • Whole blood RNA preserved in Tempus tubes- RNA-Seq • Oral fluid – virus, antibody • Feces- caloric retention, microbiome • Tonsil- persistent infection • Other tissues
  • 20. Phenotypic data • Reproducible (commercial kits or standard diagnostic tests) Tetracore PCR • Transferable (pool data from different studies) • Cost-effective Weighing a pigs is cheap, but commercial tests may be expensive • Collection is non-terminal and “non-invasive”
  • 21. Phenotypic data-types • Binary- live versus dead • Qualitative (subjective) – clinical scores • Quantitative- weight gain, virus load, antibody levels
  • 22. Nursery model-Deep phenotyping for analysis of disease traits • Morbidity and mortality • Viremia, qRT-PCR log PRRSV RNA templates/rxn • Virus Load in serum, area under the virus PCR curve (AUC) for the first 21 days • Weight (weekly) – average weight gain (WG) • Total antibody and virus neutralizing activity (42 dpi) • Circulating cytokine levels • Virus level in tonsil (persistence) • “Ultra-deep” phenotyping-Transcriptome analysis (whole blood and tonsil)
  • 23. Nursery pig model NVSL 97-7895 (1,499 pigs) KS 2006 (845 pigs)
  • 24. Viral load-area under the curve (graph) (AUC) Quantified as area under the curve from day 0 to 21
  • 25. Criteria for pigs • 200 pigs per trial • ~6 pigs/litter from a limited number of sires • Mated with 2-3 dams/sire • Pig sources provide pedigree information and DNA from the parents for later genotyping analyses • Weaned pigs are of a “high-health” status and free of PRRSV, Mycoplasma hyopneumoniae and swine influenza virus (SIV) • No pre-selection for a PRRS-associated trait
  • 26. viremia weight rebound Nursery pig model Phenotypic variation predicts genetic variation 200 pigs per trial
  • 27. Nursery pig model-The host responses, virus load and weight gain, are moderately inherited traits • Approximately 40% of how a pig responds to PRRSV infection is inherited • The remaining 60% is dependent on Maternal effects Environment Virus • Impact- breed pigs for improved disease resistance
  • 28. Nursery pig model-Regions on the swine genome associated with weight gain and virus load ProportionofGenetic Variance ProportionofGenetic Variance 5-SNP window ordered by chromosome5-SNP window ordered by chromosome GWAS Viral Load (AUG) GWAS Weight Gain (WG) SSC 4 SSC 4 SSC X SSC 17 SSC 1 Boddicker, et al. 2012. J Anim Sci. 90:1733-1746.
  • 29. Weight gain and virus load locate to the same marker on chromosome 4 WUR10000125
  • 30. 5 10 15 20 25 0 1 2 3 4 5 6 7 0 5 10 15 20 25 30 35 40 Weight(kg) Viremia(Log10Templates/ml,qPCR) Days Post Infec on AA AB WUR SNP GenotypeViremia Weight The favorable SSC4 marker, WUR, results in a 10% increase in weight and a decrease in viremia Boddicker, et al. 2012. Anim Sci. 90:1733-1746
  • 31. EXON 9 EXON 10 281 bp The unfavorable genotype is composed of exon 9/10 splice variations that create premature stop codons Globular Domain Helical Domain CAAX Stop Guanylate binding protein 5 (GBP5)
  • 33. Serum Days post 0 7 14 21 28 42 60 90 Market arrival Serum Serum Serum Serum Field model 200 pigs placed in a “health-challenged” barn NIFA Serum Serum Serum Serum weight 50 pigs200 pigs
  • 34. Arriv eVacci- nate Days post vaccination -1 0 4 7 11 14 21 28 32 35 39 42 49 56 63 70 Days post infection 0 4 7 11 14 21 28 35 42 Infect Vaccination response Vaccination + infection response Early response Later response Body weight and Blood samples Dual infection (PCVAD) model 50 pigs AA Non-vaccinated 50 AB 50 pigs AA Vaccinated (PRRS MLV) 50 AB GBP5 (-) GBP5 (WT) = 200 pigs
  • 35. Clinical signs, survival, viremia PRRS PCVAD %Survival No MLV MLV
  • 37. December 7, 2015 Virus Antibody No CD163 No PRRSV CD163-Positive No CD163
  • 39. Reproductive PRRS- Infection of dam at 90 days gestation 109 days gestation
  • 41. Prevention of reproductive PRRS Dam Fetus ++ ++ -- +/- -- -/-
  • 42. The end of a disease • The absence of CD163 in the dam surrounds the developing fetus with a protective barrier, preventing infection with PRRSV • The piglets are born with normal CD163 levels and are susceptible to PRRSV • Still need that miracle vaccine
  • 43. Co-Directors USDA ARS BARC Joan Lunney Kansas State University RRR (Bob) Rowland Iowa State University Jack Dekkers • NIFA award #2013-68004-20362 • National Pork Board • Genome Canada • LLNL • Genus PIC The Rowland Lab