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Dynamic Energy Budget theoryfor metabolic organization of life
Bas KooijmanDept of Theoretical Biology
Vrije Universiteit, Amsterdamhttp://www.bio.vu.nl/thb/deb/
Oldenburg, 2004/05/05
adul
t
embryo
juvenile
Dynamic Energy Budget theoryFirst principles, quantitative, axiomatic set upAim: Biological equivalent of Theoretical Physics
Primary target: the individual with consequences for• sub-organismal organization• supra-organismal organizationRelationships between levels of organisation
Many popular empirical models are special cases of DEB
Applications in• ecotoxicology• biotechnologyDirect links with empiry
Space-time scales
molecule
cell
individual
population
ecosystem
system earth
time
spac
e
When changing the space-time scale, new processes will become important other will become less importantIndividuals are special because of straightforward energy/mass balances
Each process has its characteristic domain of space-time scales
Empirical special cases of DEB year author model year author model
1780 Lavoisier multiple regression of heat against mineral fluxes
1951 Huggett & Widdas
foetal growth
1889 Arrhenius temperature dependence of physiological rates
1951 Weibull survival probability for aging
1891 Huxley allometric growth of body parts 1955 Best diffusion limitation of uptake
1902 Henri Michaelis--Menten kinetics 1957 Smith embryonic respiration
1905 Blackman bilinear functional response 1959 Leudeking & Piret microbial product formation
1920 Pütter von Bertalanffy growth of individuals 1959 Holling hyperbolic functional response
1927 Pearl logistic population growth 1962 Marr & Pirt maintenance in yields of biomass
1928 Fisher & Tippitt
Weibull aging 1973 Droop reserve (cell quota) dynamics
1932 Kleiber respiration scales with body weight3/ 4 1974 Rahn & Ar water loss in bird eggs
1932 Mayneord cube root growth of tumours 1975 Hungate digestion
1950 Emerson cube root growth of bacterial colonies 1977 Beer & Anderson development of salmonid embryos
Some DEB pillars• life cycle perspective of individual as primary target embryo, juvenile, adult (levels in metabolic organization)
• life as coupled chemical transformations (reserve & structure)
• time, energy & mass balances
• surface area/ volume relationships (spatial structure & transport)
• homeostasis (stoichiometric constraints via Synthesizing Units)
• syntrophy (basis for symbioses, evolutionary perspective)
• intensive/extensive parameters: body size scaling
Surface area/volume interactions• nutrient supply to ecosystems (erosion) surface area production (nutrient concentration) volume
• food availability for cows: grass weight/ surface area food availability for daphnids: algal weight/ volume
• feeding rate surface area; maintenance rate volume isomorphs: surface area volume2/3
V0-morphs: surface area volume0
V1-morphs: surface area volume1
• many active enzyme linked to membranes (surfaces) substrate and product concentrations linked to volumes
Biomass: reserve(s) + structure(s)
Reserve(s), structure(s): generalized compounds, mixtures of proteins, lipids, carbohydrates: fixed compositionCompounds in reserve(s): equal turnover times, no maintenance costs structure(s): unequal turnover times, maintenance costs
Reasons to delineate reserve, distinct from structure• metabolic memory• biomass composition depends on growth rate• fluxes are linear sums of assimilation, dissipation and growth basis of method of indirect calorimetry• explanation of inter-species body size scaling relationships respiration patterns (freshly laid eggs don’t respire) • fate of metabolites (e.g. conversion into energy vs buiding blocks)
reserve structuresubstrate(s)
Biomass compositionData Esener et al 1982, 1983; Kleibsiella on glycerol at 35°C
nHW
nOW
nNWO2
CO2
Spec growth rate, h-1
Spec growth rate
Spec growth rate, h-1
Rel
ativ
e ab
unda
nce
Spe
c pr
od, m
ol.m
ol-1.h
-1
Wei
ght y
ield
, mol
.mol
-1
nHE 1.66 nOE 0.422 nNE 0.312nHV 1.64 nOV 0.379 nNV 0.189
kE 2.11 h-1 kM 0.021 h-1
yVE 0.904 yXE 1.35rm 1.05 h-1 g = 1
•μE-1 pA pM pG
JC 0.14 1.00 -0.49
JH 1.15 0.36 -0.42
JO -0.35 -0.97 0.63
JN -0.31 0.31 0.02
General assumptions• State variables: structural body mass & reserves they do not change in composition• Food is converted into faeces Assimilates derived from food are added to reserves, which fuel all other metabolic processes Three categories of processes: Assimilation: synthesis of (embryonic) reserves Dissipation: no synthesis of biomass Growth: synthesis of structural body mass Product formation: included in these processes (overheads)• Basic life stage patterns dividers (correspond with juvenile stage) reproducers embryo (no feeding initial structural body mass is negligibly small initial amount of reserves is substantial) juvenile (feeding, but no reproduction) adult (feeding & male/female reproduction)
Specific assumptions• Reserve density hatchling = mother at egg formation foetuses: embryos unrestricted by energy reserves• Stage transitions: cumulated investment in maturation > threshold embryo juvenile initiates feeding juvenile adult initiates reproduction & ceases maturation• Somatic & maturity maintenance structure volume (but some maintenance costs surface area) maturity maintenance does not increase after a given cumulated investment in maturation• Feeding rate surface area; fixed food handling time• Partitioning of reserves should not affect dynamics comp. body mass does not change at steady state (weak homeostasis)• Fixed fraction of catabolic energy is spent on somatic maintenance + growth (-rule)• Starving individuals: priority to somatic maintenance do not change reserve dynamics; continue maturation, reproduction. or change reserve dynamics; cease maturation, reprod.; do or do not shrink in structure
-rule for allocation
Age, d Age, d
Length, mm Length, mm
Cum
# of young
Length,
mm
Ingestion rate, 105
cells/h
O2 consum
ption,
g/h
• 80% of adult budget to reproduction in daphnids• puberty at 2.5 mm• No change in ingest., resp., or growth • Where do resources for reprod come from? Or:• What is fate of resources in juveniles?
Respiration Ingestion
Reproduction
Growth:
32 LkvL M2fL
332 )/1( pMM LkfgLkvL
)( LLrLdt
dB
Von Bertalanffy
Embryonic development
time, d time, d
wei
ght,
g
O2 c
onsu
mpt
ion,
ml/
h
l
ege
dτ
d
ge
legl
dτ
d
3
3,
3, l
dτ
dJlJJ GOMOO
; : scaled timel : scaled lengthe: scaled reserve densityg: energy investment ratio
Crocodylus johnstoni,Data from Whitehead 1987
yolk
embryo
Synthesizing unitsGeneralized enzymes that follow classic enzyme kinetics E + S ES EP E + Pwith two modifications:• back flux is negligibly small E + S ES EP E + P• specification of transformation is on the basis of arrival fluxes of substrates rather than concentrations
Concentration: problematic (intracellular) environments: spatially heterogeneous state variables in dynamic systems In spatially homogeneous environments: arrival fluxes concentrations
Mitochondria
Transformations:1 Oxaloacetate + Acetyl CoA + H2O = Citrate + HSCoA2 Citrate = cis-Aconitrate + H2O3 cis-Aconitrate + H2O = Isocitrate4 Isocitrate + NAD+ = α-Ketoglutarate + CO2 + NADH + H+
5 α-Ketoglutarate + NAD+ + HSCoA = Succinyl CoA + CO2 + NADH + H+
6 Succinyl CoA + GDP 3- + Pi 2- + H+ = Succinate + GTP 4- + HSCoA
7 Succinate + FAD = Fumarate + FADH2
8 Fumarate + H2O = Malate9 Malate + NAD+ = Oxaloacetate + NADH + H+
TriCarboxylic Acid cycle
Enzymes pass metabolites directly to other enzymes enzymes catalizing transformations 5 & 7: bound to inner membrane (and FAD/FADH2)Net transformation: Acetyl-CoA + 3 NAD+ + FAD + GDP 3- + Pi
2- + 2 H2O = 2 CO2 + 3 NADH + FADH2 + GTP 4- + 2 H+ + HS-CoA
Dual function of intermediary metabolites building blocks energy substrate
all eukaryotes once possessed mitochondria,most still do
Pathways & allocation
reserve
reservereserve
maintenance
maintenance
maintenance
structure structure
structure
Mixture of products &intermediary metabolites
that is allocated tomaintenance (or growth)has constant composition
Kooijman & Segel, 2004
Numerical matching for n=4P
rodu
ct f
lux
Rej
ecte
d fl
ux
Unb
ound
ed f
ract
ion
= 0.73, 0.67, 0.001, 0.27 handshaking = 0.67, 0.91, 0.96, 0.97 binding probk = 0.12, 0.19, 0.54, 0.19 dissociation nSE = 0.032,0.032,0.032,0.032 # in reservenSV = 0.045,0.045,0.045,0.045 # in structureyEV = 1.2 res/struct kE = 0.4 res turnover jEM = 0.02 maint flux n0E = 0.05 sub in res
0
0
1
1
1
2
2
23
3
3
4
4
Spec growth rate
Spec growth rate
Matching pathway whole cellNo exact match possible between production of products and intermediary metabolites by pathway and requirements by the cell
But very close approximation is possible by tuning abundance parameters and/or binding and handshaking parameters
Best approximation requires all four tuning parameters per node growth-dependent reserve abundance plays a key role in tuning
VSES iinn ,
ii αρ ,
Kooijman, S. A. L. M. and Segel, L. A. (2004) How growth affects the fate of cellular substrates.Bull. Math. Biol. (to appear)
Product Formation
throughput rate, h-1
glyc
erol
, eth
anol
, g/l
pyru
vate
, mg/
l
glycerol
ethanol
pyru
vate
Glucose-limited growth of SaccharomycesData from Schatzmann, 1975
According to Dynamic Energy Budget theory:
Product formation rate = wA . Assimilation rate + wM . Maintenance rate + wG . Growth rate
For pyruvate: wG<0
Applies to all products, heat & non-limiting substrates
Indirect calorimetry (Lavoisier, 1780): heat = wO JO + wC JC + wN JN
No reserve: 2-dim basis for product formation
Symbiosis
product
substrate
Product formation is basic to symbioses
Symbiosis
substrate substrate
Product formation is basic to symbioses
Internalization
Structures merge Reserves merge
Free-living, clusteringFree-living, homogeneous
Steps in symbiogenesis
Symbiogenesis
• symbioses: fundamental organization of life based on syntrophy ranges from weak to strong interactions; basis of biodiversity• symbiogenesis: evolution of eukaryotes (mitochondria, plastids)• DEB model is closed under symbiogenesis: it is possible to model symbiogenesis of two initially independently living populations that follow the DEB rules by incremental changes of parameter values such that a single population emerges that again follows the DEB rules• essential property for models that apply to all organisms
Kooijman, Auger, Poggiale, Kooi 2003 Quantitative steps in symbiogenesis and the evolution of homeostasisBiological Reviews 78: 435 - 463
Central Metabolism
polymers
monomers
waste/source
source
• Pentose Phosphate (PP) cycle glucose-6-P ribulose-6-P, NADP NADPH• Glycolysis glucose-6-P pyruvate ADP + P ATP • TriCarboxcyl Acid (TCA) cycle pyruvate CO2
NADP NADPH• Respiratory chain NADPH + O2 NADP + H2O ADP + P ATP
Modules of central metabolism
Evolution of central metabolism
i = inverseACS = acetyl-CoA Synthase pathway PP = Pentose Phosphate cycleTCA = TriCarboxylic Acid cycle
RC = Respiratory Chain Gly = Glycolysis
Kooijman, Hengeveld 2003 The symbiontic nature of metabolic evolution Acta Biotheoretica (to appear)
in prokaryotes (= bacteria)3.8 Ga 2.7 Ga
Prokaryotic metabolic evolution
Chemolithotrophy • acetyl-CoA pathway• inverse TCA cycle• inverse glycolysis
Phototrophy:• el. transport chain• PS I & PS II• Calvin cycle
Heterotrophy:• pentose phosph cycle• glycolysis• respiration chain
Symbiogenesis1.5-2 Ga 1.2 Ga
Bacillariophyceae(diatoms)
(brown algae)Phaeophyceae
Prymnesiophyceae
RaphidophyceaeXanthophyceae
EustigmatophyceaeDictyochophyceae
Pelagophyceae
ChrysophyceaeSynurophyceae
Cryptophyceae
(plants)Cormophyta
(green algae)Chlorophyceae
(red algae)Rhodophyceae
Glaucophyceae
animals
Euglenozoa
Dinozoa
Rhizopoda
Bicosoecia
Actinopoda
Pseudofungi
Labyrinthulomycota
MyxomycotaProtostelida Ciliophora
Sporozoa
Bacteria
Zygomycota
BasidiomycotaAscomycota
Archamoeba
Microsporidia
Chytridiomycota
Percolozoa
Bigyromonada
Metamonada
Choanozoa
GranuloreticulataXenophyophora
Loukozoa
PlasmodiophoromycotaChlorarachnida
Cercomonada
Apusozoa
Pedinellophyceae
Bolidophyceae
Composed byBas Kooijman
Opalinata
Glomeromycota
Survey of organisms
mitochondria
secondarychloroplast
primary chloroplast
tertiarychloroplast
Sizes of blobsdo not reflect
number of species
Bacteria
Opi
stho
kont
s
Chromista
Amoebozoa
Alveo-lates
Plantae
Excavates
Ret
aria
Cercozoa
fungi
animals
forams
cort
ical
alv
eoli
Bik
ont
DH
FR
-TS
gen
e fu
sion
chlo
ropl
asts
mem
br. d
ynun
ikon
t
loss phagoc.gap junctions tissues (nervous)
bicentriolarmainly chitin
EF1 insertion
trip
le r
oots
mai
nly
cell
lose
photosymbionts
Inter-species body size scaling• parameter values tend to co-vary across species• parameters are either intensive or extensive• ratios of extensive parameters are intensive• maximum body length is allocation fraction to growth + maint. (intensive) volume-specific maintenance power (intensive) surface area-specific assimilation power (extensive)• conclusion : (so are all extensive parameters)• write physiological property as function of parameters (including maximum body weight)• evaluate this property as function of max body weight
][/}{ MAm pκpL
}{ Ap][ Mp
mA Lp }{
Kooijman 1986 Energy budgets can explain body size scaling relationsJ. Theor. Biol. 121: 269-282
Scaling of metabolic rate
comparison intra-species inter-species
maintenance
growth
weight
nrespiratio3
32
dl
llls
43
32
ldld
lll
EV
h
structure
reserve
32 lll
l0l
0
3lllh
Respiration: contributions from growth and maintenanceWeight: contributions from structure and reserveStructure ; = length; endotherms 3l l
3lllh
0hl
Scaling of metabolic rate
Log weight, g
Log m
etabolic rate, w
endotherms
ectotherms
unicellulars
slope = 1
slope = 2/3
Length, cm
O2 consum
ption,
l/h
Inter-speciesIntra-species
0.0226 L2 + 0.0185 L3
0.0516 L2.44
2 curves fitted:
(Daphnia pulex)
Von Bertalanffy growth
trb
BeLLLtL )()( rategrowh Bert von length; BrL
Len
gth,
mm
Age, d
Arrhenius
1T
BrlogK6400AT
Data from Greve, 1972
Von Bertalanffy growth rate
11 ][])[]([3
)()(
MmGB
trb
pEκfEr
eLLLtL B
costsmaint spec][fractioncapacity reserve spec][resp funccostsgrowth spec][length
m
m
G
pκEfEL