Mothers eating habits affect her daughters milk production Professor - - PowerPoint PPT Presentation
Mothers eating habits affect her daughters milk production Professor - - PowerPoint PPT Presentation
Mothers eating habits affect her daughters milk production Professor Hugh Blair et al IVABS, International Sheep Research Centre and NRCGD, Massey University A bit of history Lamarck (c.1800) inheritance of acquired characters
A bit of history
- Lamarck (c.1800)
inheritance of acquired characters (antelopes → giraffes)
- Hammond (1930s-50s)
maternal constraint (crossing Shire horses & Shetland ponies)
- Lysenko (1940s-50s)
inheritance of vernalisation (increased grain yields)
- Waddington (1940s-50s)
epigenetic landscape & canalisation (plasticity)
- Lush (1940s)
repeatability; permanent environmental effects
- Barker (1980s-90s)
Barker hypothesis, thrifty phenotype, Developmental Origins of Health and Disease (DOHaD), fetal programming
- Morgan, Sutherland, Martin & Whitelaw (1999)
epigenetic inheritance in mice
- Gluckman & Hanson (2000s)
predictive adaptive response mismatch
A bit of history
FIGURE 1. Coronary heart disease death rates, expressed as standardized mortality ratios, in 10141 men and 5585 women born in Hertfordshire, United Kingdom, from 1911 to 1930, according to birth weight. Derived from Osmond et al (12). American Journal of Clinical Nutrition, Vol. 71, No. 5, 1344S-1352s, May 2000
Birth weight and CHD
(Keith Godfrey and David Barker)
- Barker (1980s-90s)
Barker hypothesis, thrifty phenotype, Developmental Origins of Health and Disease (DOHaD), fetal programming
- Morgan, Sutherland, Martin & Whitelaw (1999)
epigenetic inheritance in mice
- Gluckman & Hanson (2000s)
predictive adaptive response mismatch
A bit of history
Folic acid and obesity / colour
- Barker (1980s-90s)
Barker hypothesis, thrifty phenotype, Developmental Origins of Health and Disease (DOHaD), fetal programming
- Morgan, Sutherland, Martin & Whitelaw (1999)
epigenetic inheritance in mice
- Gluckman & Hanson (2000s)
predictive adaptive response mismatch
A bit of history
Fetal programming
- “Programming” of
metabolism / physiology to match predicted environment behavioural responses to improve survival etc
- Probably via epigenetic mechanisms
Why?
enhanced survival (short-term – plasticity) improved chance of gene(s) being passed to the next generation evolution (long-term)?
Several animal/insect models
- Southampton – protein restriction in mice
- Auckland – calorific restriction in rats
- McGill – grooming rats
- Otago – honey bees
- Massey – sheep
Massey sheep research
- Fetal programming and its importance for
farm animals
- How do stressors during pregnancy affect
later life performance?
- Is this transmitted between generations?
What sort of stressors?
- Restricted feeding during pregnancy
- Genetic maternal constraint
- Young growing pregnant mothers
- Multiple fetuses
What drives us?
- Identification of economically relevant effects of
fetal programming in farm animals
- Development of a cost-effective measurement
tool
- Development of interventions
either manipulation of animal biology or culling of animals predicted to perform poorly in their lifetime
2005 pregnancy feeding trial
Feed restriction d21-140
Ad libitum (84kg) Maintenance (70kg)
D21 – D140 of pregnancy AI Suffolk semen Synchronized
Feed restriction
After birth After weaning At 2 years of age Synchronized & Mated
All offspring treated the same post-d140 of pregnancy
G1 Ewes born to ad libitum fed dams G1 Ewes born to maintenance fed dams
P<0.05 * P<0.10 **
7 14 21 28 35 42 49 1.5 2 2.5 3 3.5 Days in lactation Milk yield (kg)
** *
7 14 21 28 35 42 49 5 5.1 5.2 5.3 5.4 5.5 Days in lactation Lactose %
**
2009 pregnancy feeding trial
Study designed to:
- Identify critical
programming periods
- Identify optimal
maternal feeding conditions
- Identify potential
mechanisms
Dam (G0) weights
Treatment Preg50 kg (±0.5) Preg137 kg (±0.6) Lact91 kg (±0.7) L20-50 62.2a 84.3 70.2 M20-50 65.1b 85.5 70.6 H20-50 69.5c 86.4 72.2 M51-140 82.6a 71.7 H51-140 88.2b 70.3
55.0 60.0 65.0 70.0 75.0 80.0 85.0 90.0 550 600 650 700 750 800 850
Live weight (kg) Age (days)
HH HM LH LM MH MM
mating PD parturition weaning docking
Effect of dam (G0) nutrition during pregnancy (P20 – 140)
- n adult ewe offspring (G1) live weight from mating
Effect of dam nutrition during pregnancy (P20 – 140)
- n offspring milk yields
1200 1700 2200 2700 3200 3700 5 10 15 20 25 30 35 40 45 50
Milk yield (g) Days in lactation
HH HM LH LM MH MM
Maternal vs direct effects for birth weight
Lamb birth weights (kg)
G1 Stressed 4.6 4.2 3.7 G1 Normal 5.1 5.0 4.6
Two stress paradigms: pregnancy feeding and dam age Std Error ~0.1kg
Lamb birth weights (kg)
G1 Stressed 4.6 4.2 3.7 G1 Normal 5.1 5.0 4.6 G2 Stressed 5.0 4.8 5.2 5.2 4.9 6.4 5.4 G2 Normal 4.7 4.5 4.8 5.0 4.9 5.8 5.1
Two stress paradigms: pregnancy feeding and dam age Std Error ~0.1kg
3.50 4.00 4.50 5.00 5.50 6.00 6.50 7.00 3.50 3.70 3.90 4.10 4.30 4.50 4.70 4.90 5.10 5.30
G2 Birthweight G1 Birthweight
G1 vs G2 Birthweight
regression ~ -0.5kg/kg
Maternal & direct effects
- Maternal effect – uterine capacity to grow
the fetus (placenta?)
- Direct effect – growth genes of fetus
- Negative genetic correlation between
maternal and direct effects on birth weight
-0.56 -0.44 -0.35 -0.13 -0.10 0.01 0.11
Genetic maternal constraint
200kg 800kg 20kg 20kg 50kg 70kg
(Walton & Hammond, 1938)
Cheviot x Suffolk Cheviot x Cheviot Suffolk x Suffolk Suffolk x Cheviot
Crossbreeding Embryo transfer Group (lamb in dam) Birth weight (kg) ± 0.2 Group (lamb in dam) Birth weight (kg) ± 0.2 (S x S) in S large control 5.2 a (S x S) in S large control 5.9 a (S x C) in C Restricted 4.4 b (S x S) in C Restricted 5.0 b (C x S) in S Luxurious 5.1 a (C x C) in S Luxurious 5.5 ab (C x C) in C small control 4.1 b (C x C) in C small control 5.1 b
Lamb birth weights
Crossbreeding Embryo transfer Group (lamb in dam) Birth weight (kg) ± 0.2 Group (lamb in dam) Birth weight (kg) ± 0.2 (S x S) in S large control 5.2 a (S x S) in S large control 5.9 a (S x C) in C Restricted 4.4 b (S x S) in C Restricted 5.0 b (C x S) in S Luxurious 5.1 a (C x C) in S Luxurious 5.5 ab (C x C) in C small control 4.1 b (C x C) in C small control 5.1 b
Lamb birth weights
Fetal morphometry at day19
Group (Fetus in Dam) Embryo length (mm) ± 0.6 (SxS) in S Large control 13.4 c (SxS) in C Restricted 11.0 a (CxC) in S Luxurious 15.2 d (CxC) in C Small control 12.8 bc
Fetal morphometry at day19
Where to now?
- Refine animal models (type & time of
“insult”) of fetal programming
- Quantify on-farm economic effects
- Discover the (epigenetic) mechanisms
responsible for programming
- Devise interventions