chinyere ekine-dzivenu (phd candidate) department of agricultural, food and nutritional science,...
TRANSCRIPT
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Genetic Influence of Host on Fatty Acid Composition in Beef Cattle
Chinyere Ekine-Dzivenu (PhD Candidate)
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
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Outline
• Background • Objectives• Materials and methods• Results and discussion• Conclusion• Acknowledgement
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Background
CONSUMERAWARENESS
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Background Cont’d
• SFA
Increased Plasma cholesterol
- Cardiovascular diseases - Cancer - Obesity
• MUFA & PUFA
Reduced plasma cholesterol
• CLA
Anti-carcinogenic, anti-atherosclerotic
Anti-diabetic
Anti-Obesity
Type of dietary fat (fatty acid profile) matters more than the amount of fat.
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Background Cont’dImproving beef fatty acid composition
• Nutrition approach– Added cost – Change not permanent– May affect flavor
• Traditional genetic improvement approach– Permanent and accumulative change
BUT difficult/expensive to measure and measured after slaughter
• Genomics – Marker assisted selection/genomic selection
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Objectives
Estimate heritability of fatty acids in beef brisket adipose tissue, subcutaneous adipose tissue and longissimus luborum muscle to assess the potential for genetic improvement
Discover SNP markers associated with FA profile in beef for marker assisted selection or marker based diet management
Estimate phenotypic and genetic correlation between FAs within each tissue in order to preventantagonism when genetic selection is made
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Materials and methods
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Phenotype
Genotype
1536 SNPS
• Over 80 FA in the brisket adipose on 223 beef steers• Over 80 FA in the subcutaneous adipose and longissimus luborum muscle on
1366 animals• Heritability and correlations estimated using univariate and bivariate animal
model implemented in ASreml after accounting for fixed effects.• 961 polymorphic markers for Bayesian candidate gene association study on
adjusted data
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Results and discussion
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% F
AME
B.Ad
ipos
e%
FAM
E S.
Adip
ose
% F
AME
Mus
cle
Fig1. Variation among individual animals for different fatty acids
Each dot represents an individual animal
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Longissimus Luborum Muscle (n=1366)
Subcutaneous Adipose (n=1366)
Brisket Adipose (n=223)
Fatty Acids Mean h2±SE Mean h2±SE Mean h2±SE14:0 2.8033 0.6 ± 0.13 3.2036 0.5 ± 0.16 3.5452 0.17 ± 0.1215:0 0.5024 0.22 ± 0.1 0.6423 0.25 ± 0.12 0.6209 0.31 ± 0.1216:0 24.6089 0.54 ± 0.1 25.0924 0.28 ± 0.09 25.5585 0.05 ± 0.1217:0 1.5484 0.31 ± 0.11 1.7088 0.43 ± 0.14 1.4033 0.17 ± 0.1118:0 12.4073 0.33 ± 0.09 10.5448 0.43 ± 0.1 8.9234 0.12 ± 0.11
9c-14:1 0.6401 0.54 ± 0.09 1.0459 0.41 ± 0.1 1.4845 0.51 ± 0.119c-16:1 3.4078 0.69 ± 0.1 4.2466 0.51 ± 0.12 5.595 0.13 ± 0.119c-17:1 1.1913 0.17 ± 0.07 1.3774 0.18 ± 0.09 1.4865 0.04 ± 0.19c-18:1 36.6758 0.48 ± 0.09 37.9173 0.17 ± 0.07 40.1263 0.13 ± 0.1210t-18:1 2.0279 0.27 ± 0.09 2.9079 0.3 ± 0.1 0.5399 0.11 ± 0.1111c-18:1 1.8358 0.24 ± 0.09 1.9604 0.03 ± 0.04 2.4717 0.04 ± 0.1111t-18:1 0.4406 0.24 ± 0.08 0.5455 0.16 ± 0.07 0.5399 0.11 ± 0.1113c-18:1 0.3958 0.51 ± 0.09 0.4869 0.37 ± 0.09 0.7455 0.43 ± 0.118:2n-6 4.3871 0.28 ± 0.09 1.8761 0.43 ± 0.1 1.2634 0.17 ± 0.13
Sumtrans18:1 3.2517 0.28 ± 0.09 4.4859 0.32 ± 0.09 2.2963 0.11 ± 0.11SumCLA 0.395 0.21 ± 0.07 0.7043 0.30 ± 0.08 0.59 0.06 ± 0.1
SFA 42.4241 0.48 ± 0.1 41.5983 0.39 ± 0.1 40.2913 0.07 ± 0.11MUFA 48.5617 0.48 ± 0.09 52.9408 0.35 ± 0.09 55.4148 0.06 ± 0.1PUFA 6.696 0.26 ± 0.09 2.2902 0.42 ± 0.09 2.8065 0.12 ± 0.12BFA 1.3562 0.17 ± 0.08 1.7139 0.24 ± 0.08 1.4874 0.03 ± 0.1
SFA+BFA 43.7803 0.48 ± 0.09 43.3122 0.38 ± 0.1 41.7787 0.06 ± 0.11n-6 5.9261 0.27 ± 0.09 2.0457 0.42 ± 0.09 1.4631 0.16 ± 0.13
n-6/n-3 8.6281 0.44 ± 0.11 9.2625 0 ± 0 7.9869 0.03 ± 0.1Health Index 1.5654 0.54 ± 0.1 1.4875 0.38±0.11 1.4888 0.16 ± 0.12
Health Index = ΣMUFA +ΣPUFA 4X14:0+16:0
High
Moderate
Low
Table 1. Heritability of selected fatty acids in 3 beef tissues
HI =
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Trait SFA MUFA PUFA SumCLA Health_IndexSFA -0.99±0 -0.31±0.06 -0.70±0.52 -0.91±0.01MUFA -0.99±0.03 0.17±0.06 0.70±0.55 0.9±0.01PUFA -0.41±0.64 0.20±0.82 0.37±0.61 0.23±0.06sumCLA -0.29±0.06 0.20±0.06 0.61±0.04 0.19±0.06Health Index -0.99±0.01 0.96±0.05 0.48±0.45 0.68±0.44
Table 2. Phenotypic (above diagonal) and genetic (below diagonal) correlation between selected fatty acid groups in beef tissues
Trait SFA MUFA PUFA SumCLA Health IndexSFA -0.59±0.09 -0.38±0.11 -0.32±0.09 -0.86±0.02MUFA -0.77±0.06 -0.5±0.06 -0.01±0.08 0.45±0.08PUFA -0.18±0.18 -0.47±0.13 0.1±0.24 0.43±0.1sumCLA -0.02±0.19 -0.08±0.17 0.31±0.14 0.23±0.11Health Index -0.89±0.03 0.75±0.06 0.09±0.19 -0.02±0.19
Bris
ket
adip
ose
Subc
utan
eous
ad
ipos
eLo
ngis
sim
us
Lubo
rum
Trait SFA MUFA PUFA SumCLA Health IndexSFA -0.98±0 0.05±0.09 -0.08±0.09 -0.85±0.03MUFA -0.98±0.01 -0.23±0.09 -0.03±0.1 0.85±0.03PUFA -0.15±0.17 -0.06±0.17 0.39±0.14 -0.09±0.11sumCLA -0.56±0.13 0.47±0.15 0.25±0.08 0.06±0.1Health Index -0.84±0.06 0.87±0.05 -0.05±0.18 0.36±0.17
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AC
AD
LA
NK
RD
1A
P2
B1
AT
ICA
TP
2B
1B
DH
1B
RC
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CA
MK
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CP
T2
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HR
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IF3
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5G
AP
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IRF
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A2
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C14C15C16C17C18C1419cC1619cC1719cC1819cC18110tC18111cC18111tC18113cC182n6C171aisumtrans181sumCLASFAMUFAPUFABFASFABFAn6n6n3Health_index
Fig.2. Schematic overview of associations of fatty acids with SNPs in candidate genes.
Allele substitution effect indicated by color key
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Rec
epto
rs
•SCD•PNPLA2•LPL•F5•CPT2•ACADL•BDH1•ATIC
Tran
spor
ter •SLC27A2
•ATP2B1•AP2B1
Tran
scrip
tion
Regu
lato
r
•NR1H3•RUNX1T1•IRF2•BRCA1•ANKRD1
•CRHR1•RARA•TRHR
•EIF3H
Enzy
me
Tran
slati
on R
egul
ator
Fig 3. Variation in FA among individuals as a result of variation in different cellular processes
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Conclusions
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• Variation exists in the amount of each fatty acid in beef tissues.
• Individual animals vary in the amount of each FA deposited in tissues.
• Each fatty acid in beef is a complex trait (influenced by several genes).
• Identified markers throw light on processes that can cause variation in FA between animals.
• Results show possibility of selecting beef with superior genetics to improve not only beneficial FA content but also eating quality of beef.
• Results show possibility of simultaneously improving beneficial FA in the adipose. Attention should be paid to the moderate negative correlation between muscle MUFA and PUFA.
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Future directionsUse a higher density SNP panel (bovine 50K SNP chip) to capture more markers
explaining a significant amount of variation for beneficial fatty acids among individual animals.
Work in progressPhenotypic and genetic correlation of fatty acids in the subcutaneous adipose tissue
and longissimus luborum muscle with carcass and meat quality traits
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Acknowledgement• Supervisor: Dr. Changxi Li
• Group members, co-investigators and committee
Liuhong Chen Michael Dugan
Michael Vinsky Jennifer Aalhus
John Basarab Noelia Aldai
Paul Stothard Tim McAllister
Fiona Buchanan Carolyn Fitzsimmons
Erasmus Okine Zhiquan Wang
• Funding:
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Thank you