Download Proteomics Global Veterinary Summit-August 31

Agenda
Introduction
• Functional traits
• Genomics to system biology in animal science
OMICS for analyzing diseases in livestock
species
• Genomics
• Transcriptomics
• Proteomics
Conclusion
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Will there be enough food to support the projected
population of 9.2 billion in 2050?
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CONSUMERS
BREEDING GOALS
DEMANDS
ENVIROMENTAL
IMPACT
FOOD QUALITY
and
SAFETY
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Milk yield vs reproductive traits traits?
Data from Lucy et al, Journal of Dairy Science, 2001, 84(6): 1277-1293
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What are functional traits?
The ICAR* Functional Traits Working
Group currently is working on:
General health traits
Female fertility
Feet and legs problems
Udder health
Workability
*International Commitee for Animal Recording
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Functional traits are being used
Source: Miglior et al., 2012
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ADVANTAGES
REGARDING
SALE OF
PRODUCTS
• Temperament
• Milking speed
EASE OF
MANAGE
MENT
BREEDING
GOALS
• animal welfare
• consumer concerns
INCREASED
INCOME
Higher production of milk
• better fertility
• fewer diseases
• reduced culling rates
REDUCED
COSTS
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1. Genomics to system biology in animal science
1990 QTL MAPPING
PROJECTS
2004
2009
2010
2012
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2. Genomics to system biology in animal science
Genome-wide association study
Genomic selection-GEBV
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3. Genomics to system biology in animal science
MICROARRAY GENE EXPRESSION PROFILING
scanner
Affymetrix
GeneChip
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4. Genomics to system biology in animal science
NEXT GENERATION SEQUENCING
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5. Genomics to system biology in animal science
WHAT IS THE SYSTEM BIOLOGY??????
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How does it integrate OMICs data and
phenotypes?
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Application of OMICs tech for analyzing diseases
in livestock species
Genomics
Proteomics
Diseases
Transcriptomics
Metabolomics
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Diseases in cattle
Kind
Viral
Name
Bovine viral diarrhoea (BVD)
Infectious bovine rhinotracheitis (IBR)
Bovine viral syncytial virus (BRSV)
Bacterial
Mastitis
Lameness
Johne’s disease
Salmonellosis
Metabolic
Ketosis
Milk fever (hypocalcemia)
Grass tetany (hypomagnesaemia)
Displaced abomasum
Fertility related
condition
Retained foetal membranes (RFM)
Cystic ovaries
Metritis
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GWAS for health
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GWAS for mastitis
171 SIGNIFICANT SNP
FOR SCS
52 WERE ANNOTATED
WITHIN GENES
SOME INVOLVED IN THE
IMMUNE RESPONSE TO
MASTITIS
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GWAS for John’s disease in sheep
Moioli, B., S. D'Andrea, L. De Grossi, E. Sezzi, B. De Sanctis, et al., 2015 Genomic
scan for identifying candidate genes for Paratuberculosis resistance in sheep.
Anim. Prod. Sci. in press.
PARATUBERCOLOSIS ELISA TEST
NEGATIVE
VS
POSITIVE
30 PUTATIVE CANDITATE GENE FOR DISEASE SUSCEPTIBILITY
CD109
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PCP4
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GWAS for calving ease in cattle
BTA6
LAP3 SHOWS THE MOST INVOLVEMENT
WITH THE TRAIT
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TRANSCRIPOTIMCS for paratubercolosis in cattle
MICROARRAY
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TRANSCRIPOTIMCS for paratubercolosis in cattle
RNAseq
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TRANSCRIPOTIMCS for paratubercolosis in cattle
MICROARRAY
RNASEQ
N° DE
2 hpi
315
245
6hpi
466
574
TOTALE
781
819
2hpi
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6hpi
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TRANSCRIPOTIMCS for mastitis
MICROARRAY
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TRANSCRIPOTIMCS for mastitis
RNAseq
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TRANSCRIPOTIMCS for mastitis
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PROTEOMICS
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PROTEOMICS
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PROTEOMICS and mastitis
mammary tissue
healthy vs mastitic cow
551 N-glycosylation sites
H
M
294 proteins
283 proteins
98 different glycosilated sites
mammary tissue
healthy vs mastitic co
95 DE proteins
mammary tissue
36 UPregulated
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healthy vs mastitic cow
19 DOWNregulated
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PROTEOMICS and Salmonella in pig
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CONCLUSIONS
PHENOTYPES
BREEDING
GOAL
OMICs
• Traditional traits
• Functional traits
• Breeder needs
• Consumers demands
• Enviromental impact
• Genomics
• Transcriptomics
• Proteomics
Food safety and quality
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