Tjalling Jager Dept. Theoretical Biology How to simplify biology to interpret effects of stressors.
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Transcript of Tjalling Jager Dept. Theoretical Biology How to simplify biology to interpret effects of stressors.
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Tjalling Jager
Dept. Theoretical Biology
How to simplify biologyto interpret effects of stressors
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Organisms are complex …
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Stressing organisms …
… only adds to the complexity
Response to a toxic (and other) stress depends on– organism– endpoint– type of stressor or toxicant– exposure scenario– environmental conditions
Eco(toxico)logical literature is full of descriptions:
“The effect of stressor A on endpoint B of species C (under influence of environmental factor D)”
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Practical challenge
Some 100,000 man-made chemicals Wide range of other stressors For animals alone, >1 million species described Complex dynamic exposure situations
“The effect of stressor A on endpoint B of species C (under influence of environmental factor D)”
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Complexity
Environmental chemistry …
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Idealisation
air
water
sediment
naturalsoil
agricult.soil
industr.soil
emission advection diffusion degradation
Treat each compartment as homogeneous …
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Simplifying biology?
At the level of the individual … how much biological detail do we minimally need
…– to explain how organisms grow, develop and
reproduce– to explain effects of stressors on life history– to predict effects for untested cases– without being species- or stressor-specific
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Simplifying biology?
At the level of the individual … how much biological detail do we minimally need
…– to explain how organisms grow, develop and
reproduce– to explain effects of stressors on life history– to predict effects for untested cases– without being species- or stressor-specific
One of the few hard laws in biology … all organisms obey conservation of mass and
energy
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Effect on reproduction
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Effect on reproduction
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Effect on reproduction
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Effect on reproduction
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Effect on reproduction
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Energy Budget
To understand effect on reproduction …– we have to consider how food is turned into offspring
Challenge– find the simplest set of rules ...– over the entire life cycle ...– for all organisms (related species follow related rules)
growth
maintenance
maturation
off spring
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Quantitative theory for metabolic organisation from ‘first principles’– time, energy and mass balance– consistent with thermodynamics
Life-cycle of the individual– links levels of organisation: molecule
ecosystems
Fundamental; many practical applications– (bio)production, (eco)toxicity, climate
change, evolution …
Kooijman (2000)
Kooijman (2010)
DEB theory
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eggs
mobilisation
Standard DEB animal
structurestructure
somatic maintenance
growth
maturity maintenance1-
reproduction
maturitymaturity bufferbuffer
maturation p
food feces
assimilation
reservereserve
b
3-4 states8-12 parameters
system can be scaled to remove dimension ‘energy’
3-4 states8-12 parameters
system can be scaled to remove dimension ‘energy’
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Different food densities
Jager et al. (2005)
0 2 4 6 8 10 1220
30
40
50
60
70
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90
100
time (d)
bo
dy
len
gth
(µ
m)
0 2 4 6 8 10 1220
30
40
50
60
70
80
90
100
time (d)
bo
dy
len
gth
(µ
m)
H
M
L
0 2 4 6 8 10 120
20
40
60
80
100
120
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160
time (d)
cum
ula
tive
nu
mb
er o
f eg
gs
0 2 4 6 8 10 120
20
40
60
80
100
120
140
160
time (d)
cum
ula
tive
nu
mb
er o
f eg
gs
H
M
L
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Toxicant effects in DEB
externalconcentration
(in time)
toxico-kinetics
toxico-kinetics internal
concentrationin time DEB
parametersin time
DEBmodel
DEBmodel
repro
growth
survival
feeding
hatching
…
Kooijman & Bedaux (1996),
Jager et al. (2006, 2010)
over entire life cycle
parasites
environmental stress
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Toxicant effects in DEB
externalconcentration
(in time)
toxico-kinetics
toxico-kinetics internal
concentrationin time DEB
parametersin time
DEBmodel
DEBmodel
Affected DEB parameter has specific consequences for life cycle
repro
growth
survival
feeding
hatching
…
Kooijman & Bedaux (1996),
Jager et al. (2006, 2010)
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Toxicant case study
Marine polychaete Capitella (Hansen et al, 1999)– exposed to nonylphenol in sediment– body volume and egg production followed– no effect on mortality observed
Jager and Selck (acc.)
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Control growth
Volumetric body length in control– here, assume no contribution reserve to volume …
0 10 20 30 40 50 60 70 800
0.5
1
1.5
2
2.5
3
time (days)
vo
lum
etr
ic b
od
y l
en
gth
(m
m)
0
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Control growth
Assumption– effective food density depends on body size
0 10 20 30 40 50 60 70 800
0.5
1
1.5
2
2.5
3
time (days)
vo
lum
etr
ic b
od
y l
en
gth
(m
m)
0
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Control growth
0 10 20 30 40 50 60 70 800
0.5
1
1.5
2
2.5
3
time (days)
vo
lum
etr
ic b
od
y l
en
gth
(m
m)
0
Assumption– initial starvation (swimming and metamorphosis)
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Control reproduction
Compare to mean reproduction rate from DEB– ignore reproduction buffer …
0 10 20 30 40 50 60 70 800
500
1000
1500
2000
2500
3000
3500
time (days)
cu
mu
lati
ve
off
sp
rin
g p
er
fem
ale
0
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NP effects
Compare the control to the first dose
0 10 20 30 40 50 60 70 800
0.5
1
1.5
2
2.5
3
time (days)
volu
me
tric
bo
dy
len
gth
(m
m)
014
0 10 20 30 40 50 60 70 800
500
1000
1500
2000
2500
3000
3500
4000
time (days)
cu
mu
lati
ve o
ffsp
rin
g p
er
fem
ale 0
14
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“Hormesis”
Requires a mechanistic explanation …– organism must obey conservation of mass and
energy
Potential assumptions– NP is a micro-nutrient– decreased investment elsewhere (e.g., immune
system)– NP relieves a secondary stress (e.g., parasites or
fungi)– NP increases the food availability/quality
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NP effects
Assumption– NP increases food density/quality
0 10 20 30 40 50 60 70 800
0.5
1
1.5
2
2.5
3
time (days)
volu
me
tric
bo
dy
len
gth
(m
m)
014
0 10 20 30 40 50 60 70 800
500
1000
1500
2000
2500
3000
3500
4000
time (days)
cu
mu
lati
ve o
ffs
pri
ng
pe
r fe
ma
le
014
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NP effects
Assumption– NP affects costs for making structure
0 10 20 30 40 50 60 70 800
0.5
1
1.5
2
2.5
3
time (days)
volu
me
tric
bo
dy
len
gth
(m
m)
1452174
1452174
0 10 20 30 40 50 60 70 800
500
1000
1500
2000
2500
3000
3500
4000
time (days)
cu
mu
lati
ve o
ffs
pri
ng
pe
r fe
ma
le
1452174
1452174
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Standard DEB animal
structurestructure
food feces
maturity maintenancesomatic maintenance
assimilation
1-
growth reproduction
maturitymaturity bufferbuffer
maturation
reservereserve
mobilisation
eggs
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NP effects
Assumption– NP also affects costs for maturation and
reproduction
0 10 20 30 40 50 60 70 800
0.5
1
1.5
2
2.5
3
time (days)
volu
me
tric
bo
dy
len
gth
(m
m)
0 10 20 30 40 50 60 70 800
500
1000
1500
2000
2500
3000
3500
4000
time (days)
cu
mu
lati
ve o
ffs
pri
ng
pe
r fe
ma
le
1452174
1452174
1452174
1452174
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Standard DEB animal
structurestructure
food feces
maturity maintenancesomatic maintenance
assimilation
1-
growth reproduction
maturitymaturity bufferbuffer
maturation
reservereserve
mobilisation
eggs
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fit not satisfactory?
fit
Strategy for data analysis
actualDEB model
experimentaldata
additionalexperiments
literature
educatedguesses
mechanistichypothesis
standardDEB model
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testablepredictions
Strategy for data analysis
Are we sure we have the correct explanation?
Occam’s razor Accept the simplest explanation … for now
actualDEB model
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Concluding remarks
Understanding stressor effects in eco(toxico)logy is served by idealisation of biology
Stressor effects can be treated quantitatively, ensuring:– mass and energy balance– consistent changes in all life-history traits (trade-offs)
Increase understanding of stressors, but also of metabolic organisation
DEB theory offers a platform– simple, not species- or stressor-specific– well tested in many applications
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More information
on DEB: http://www.bio.vu.nl/thb
on DEBtox: http://www.debtox.info
Courses– International DEB Tele Course 2013
Symposia– 2nd International DEB Symposium 2013 on Texel
(NL)
growth
maintenance
maturation
off spring