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From embryo to senescence with DEB theory for metab org
Bas Kooijman Dept theoretical biology Vrije Universiteit Amsterdam Melbourne, 2012/08/07
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From embryo to senescence with DEB theory for metab org
Bas Kooijman Dept theoretical biology Vrije Universiteit Amsterdam Contents: intro surface/volume selection embryo development ageing Melbourne, 2012/08/07
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Energy Budgets Basic processes
Feeding Digestion Storing Growth Maturation Maintenance Reproduction Product formation Aging All processes interact during the life cycle Life history events zero: start of development birth: start of feeding start of acceleration metamorphosis: end of acceleration puberty: end of maturation start of reproduction Life stages embryo juvenile adult This is the task-list for the qualitative aspects of energy budgets Quantitative aspects are controlled by consistency requirements: Assumptions must be internally consistent Conservation rules should be respected (time, mass, energy, entropy, stoichiometry) Empirical facts must be captured
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Some DEB pillars life as coupled chemical transformations
life cycle perspective of individual as primary target energy & mass & time balances stoichiometric constraints via Synthesizing Units surface area/ volume relationships spatial structure & transport syntrophy (basis for symbioses) homeostasis intensive/extensive parameters: scaling evolutionary perspective
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Standard DEB scheme 2b food faeces reserve structure offspring
1 food type, 1 reserve, 1 structure, isomorph time: searching & handling feeding surface area weak & strong homeostasis κ-rule for allocation to soma maintenance has priority somatic maint structure maturity maint maturity stage transition: maturation embryo: no feeding, reprod juvenile: no reproduction adult: no maturation maternal effect: reserve density at birth equals that of mother initially: zero structure, maturity food faeces assimilation reserve feeding defecation structure somatic maintenance growth 1- maturity maintenance offspring maturation reproduction
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Empirical special cases of DEB 11.1
DEB theory is axiomatic, based on mechanisms not meant to glue empirical models Since many empirical models turn out to be special cases of DEB theory the data behind these models support DEB theory This makes DEB theory very well tested against data year author model 1780 Lavoisier multiple regression of heat against mineral fluxes 1950 Emerson cube root growth of bacterial colonies 1825 Gompertz Survival probability for aging 1951 Huggett & Widdas foetal growth 1889 Arrhenius temperature dependence of physiological rates 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 1910 Hill Cooperative binding Holling hyperbolic functional response 1920 Pütter von Bertalanffy growth of individuals 1962 Marr & Pirt maintenance in yields of biomass 1927 Pearl logistic population growth 1973 Droop reserve (cell quota) dynamics 1928 Fisher & Tippitt Weibull aging 1974 Rahn & Ar water loss in bird eggs 1932 Kleiber respiration scales with body weight3/ 4 1975 Hungate digestion Mayneord cube root growth of tumours 1977 Beer & Anderson development of salmonid embryos Many existing empirical models turn out to be special cases of DEB models, or very good numerical approximations; the list continued to grow over the years. Many of them are quite old and together they concern very different aspects of life; none of the original authors could be aware of the coherence of these empirical models. This in itself is for me already a most rewarding side-result of DEB theory. DEB theory reveals how they all follow from simple physical and chemical phenomena; this helps to understand under what conditions these models will probably not work that well. Each of these models was created because it described experimental data well. Using all this evidence, and the results of some 200 man-year of research by the group working on DEB theory, I dare to state that, at present, DEB theory is the best tested quantitative theory in biology.
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Growth at constant food
ultimate length, mm Von Bert growth rate -1, d length, mm When animals, here Daphnia magna, are exposed to constant food conditions, length-at-time since birth follows von Bertalanffly curves. At different food levels, different rates and ultimate lengths result: The inverse von Bertalanffy rate (the von Bertalanffy time) is linear in the ultimate length. The slope equals 3 M/v where structural length equals M time physical body length The intercept equals 3/kM; it cannot be zero, because maintenance would then be infinitely large time, d Von Bertalanffy growth curve:
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Mixtures of V0 & V1 morphs volume, m3 hyphal length, mm
time, min Bacillus = 0.2 Collins & Richmond 1962 volume, m3 hyphal length, mm Fusarium = 0 Trinci 1990 time, h volume, m3 time, min Escherichia = 0.28 Kubitschek 1990 volume, m3 time, min Streptococcus = 0.6 Mitchison 1961 At constant food/substrate the growth curve reveals deviations from isomorphy. These 4 organisms (1 fungus and 3 eubacteria) only grow in length, not in diameter. These 4 cases only differ in the aspect ratio at division, which is zero in the upper-left case with V1-morphy as result large (such that spheres result after division) in the lower right case with a large role for V0-morphy Notice the systematic change in shape of the curves, coupled to the values of the aspect ratio A strong support for the role of surface area in growth
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Dynamic mixtures of V0- & V1-morphs
Respiration: assim + maint + growth Assim, maint mass Growth in diam time at constant food V0-morph V1-morph Crusts represent dynamic mixtures between a V0-morph and a V1-morph. The V0-component becomes dominant for increasing size such that the diameter of the crust increases proportional to time. Examples of crusts are bryozoans, lichenes, forests (as super-individual)
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Dynamic mixtures of V0- & V1-morphs
Respiration mixture mass1/2 isomorph mass3/4 Celleporella 15 cm/yr 0.5 cm/yr 2 5 16 33 See next slide 0.5 cm/yr 2 5 16 33 0.5 cm/yr 2 5 16 33 0.5 cm/yr 2 5 16 33 0.5 cm/yr 2 5 16 33 White et al 2011 Am. Nat., 178:
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Dynamic mixtures of V0- & V1-morphs
Respiration mixture mass1/2 isomorph mass3/4 Celleporella 33, 24 cm/yr 0.5 cm/yr 2 5 16 33 In absence of growth, respiration is proportional to mass (mainly somatic maintenance) Growth of crusts contributes proportionally to the square root of mass (at constant food) and this contribution dominates at abundant food. Work by Craig White, Queensland Univ, Melbourne White et al 2011 Am. Nat., 178:
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Selection affects par values
Gallus gallus Red jungle fowl Indian River Broiler White leghorn
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Respiration ontogeny in birds
ml O2 d-1 ml CO2 d-1 altricial Troglodytes aëdon Data: Kendeigh 1940 precocial Gallus domesticus Data: Romijn & Lokhorst 1951 age, d age, d Observations: just prior to hatching respiration shows a plateau in precocial, not in altricial birds pore size and frequency in egg shell is such that O2 flux has constant resistance Conclusion: ontogeny is constrained by diffusion limitation in precocial birds (Rahn et al 1990) DEB theory: reserve dynamics controls ontogeny (same pattern in species without shells) Minimization of water loss causes observed constant flux resistance
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Embryonic development
Zonneveld & Kooijman 1993 Bul. Math. Biol. 55: Crocodylus johnstoni, Data: Whitehead 1987 embryo yolk O2 consumption, ml/h weight, g time, d time, d
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Twinning: separation of cells
Kooijman 2012 J. Math. Biol. subm Twinning: separation of cells Twinning: separation of cells Twinning: separation of cells Kooijman 2009 J. Math. Biol. 58: Reserve density tends to increase with max structural length The minimum amount of initial reserve is when maturation ceases at birth The maximum amount of initial reserve is at abundant food for the mother at egg formation The ratio of the max and the min amounts tends to increase with max structural length When this ratio exceeds 2, twinning is theoretically possible: The daughter-cells in the 2-cell stage each have enough reserve to complete the embryo stage. Maternal effect: reserve density at birth = reserve density of mother Parameter estimates from add_my_pet 2012/06/17, egg development only
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Acceleration of development
Embryo: isomorphic v constant Early juvenile: V1-morphic v, {pAm} increase with length Late juvenile/adult: isomorphic v, {pAm} constant Found in: bivalves, gastropods, copepods, amphipods, decapods, collembolas, echinoderms, lancelets, tunas, flatfish, anchovy, Danio, caecilians, marsupials length time since birth
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Anchovy Engraulis encrasicolus
embryo 0.16 cm 0.22 cm length, cm 0.4 cm 0.9 cm time, d 1.2 cm >4 cm Pecquerie 2008 PhD thesis VU A’dam
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Stage transitions at maturity thresholds
Danio rerio 28.5°C See next slide Augustine et al 2011 Comp. Biochem. Physiol. A 159 :275–283
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Stage transitions at maturity thresholds
< birth : isomorph birth-metamorphosis: V1-morph > metamorphosis : isomorph Danio rerio 28.5°C Data: Lauwrence et al 2008 While age at stage transitions depends on temperature and food, and length at stage transitions on food, maturity thresholds do not depend on temperature or food. Zebra-fish, like in many other fish species, accelerate metabolism between birth and metamorphosis; specific maximum assimilation and energy conductance are increased Respiration is proportional to mass in this period, but less than that before birth and after metamorphosis Both growth and reproduction are retarded in response to caloric restriction in ways that is well captured be DEB theory. Work by Starrlight Augustine, IRSN, Cadarache caloric restriction Data: Augustine Augustine et al 2011 Comp. Biochem. Physiol. A 159 :275–283
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Acceleration 10log spec maturity at birth 10log yolkiness
10log acceleration 10log acceleration coelenterata lophotrochozoa ecdysozoa invert deuterostomata ectotherm vertebrata endotherm vertebrata
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Acceleration of development
yes Casey Muller indirect Pseudophryne bibronii Crinia georgiana The DEB definition of direct development: birth coincides with metamorphosis: tadpoles don’t assimilate. Two species of myobatrachid frogs don’t accelerate and keep constant. Two species of myobatrachid frogs accelerate development by lowing between hatch and birth, resetting after metamorphosis. This change increases maturation and respiration and decreases growth. The direct developers show that is not changed systematically between hatch and birth among myobatrachid frogs. Nicky Mitchell direct Geocrinia vitellina Crinia nimbus
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Acceleration of development
Mueller et al 2012, Comp. Biochem. Physiol. A 163: O2 nmol/h Dry mass, mg Crinia georgiana age, d hatch birth max dry weight 500 mg 1 metam 12 °C age, d Pseudophryne bibronii These two myobatrachid frogs are very similar in many respects, but the tadpoles of P. bibronii live in permament pools, while that of C. georgiana in temporary ones that dry up, soon after their metamorphosis. The latter accelerate development by lowering temporarily, which also reduces growth. In this way it can leave the pond at the age of 110 days, while P. bibronii needs 200 d. Hatch coincides with birth for P. bibronii. C. georgiana is 4 mg at metamorphosis, P. bibrionii 35 mg dry, while the maximum weights are 500 and 200 mg, respectively. Both frogs have a (constant) somatic maintenance rate of some 400 J/d.cm3. The graphs in the middle just enlarge the graph on the right till birth. The step-up in respiration at birth is due to the onset of assimilation. Mueller C., Augustine, S., Kearmey, M., Seymour, R. and Kooijman, S.A.L.M. 2011 Tradeoffs between maturation and growth during accelerated development in frogs Submitted Data: Casey Mueller Model fit: Starrlight Augustine max dry weight 200 mg metam metam 1 hatch birth Dry mass, mg hatch birth O2 nmol/h age, d age, d
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Free radicals Aging Aging results from damage by Reactive Oxygen Species (ROS) Gerschman 1954 link with DEB model via dioxygen consumption & metabolic activity Aging is binary in unicellulars, and gradual in multicellulars age-affected cells no longer divide Typical aging only occurs in multicellulars with irreversible cell differentiation that have post-mitotic tissues Induction of damage inducing compounds dioxygen consumption contribution from assimilation is not included because of more local occurrence in organism Empirical evidence points to acceleration of aging Damage inducing compounds generate damage inducing compounds damage compounds; hazard rate density of damage compounds Some chemical compounds (e.g. RNS) and -radiation can stimulate aging
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Ageing metabolism O2 ROS damage inducing compounds mitochondrional DNA
damage compounds proteins effect on hazard endotherms continuous DEB module Weibull (1951) & Gompertz (1825) model are special cases based on mechanisms links with energetics
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Aging: ectotherms & feeding
survival prob body length, cm ad libitum restricted d time, d time, d Poecilia reticulata Data: Comfort, 1963
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Aging: endotherms & feeding
level 1 body weight, g embryo weight, g 0.75 0.44 time, d time, d The DEB module for ageing assumes that free radicals originate from O2 consumption and form damage inducing compounds, such as modified mitochondrial DNA. Damage inducing compounds can induce themselves and form damage compounds (modified proteins), which accumulate in the body and increase the hazard rate. The three DEB-based post-natal growth curves at the various feeding levels, the embryonic growth curve and the survival functional are all fitted simultaneously to mouse-data. They illustrate the role of energetics in aging. This two-step aging mechanism explains why mean life span tends to increase with maximum body length among endotherms, but hardly among ectotherms. Their difference is in the self-induction of damage inducing compounds, which hardly occurs in ectotherms; It is part of their evolutionary transition from supply to demand systems. The role of max body length (between species) and feeding levels (within a species) work out similarly in this case. Sub-lethal effects of aging can be quantified by linking the concentration of damage compounds to energy parameters, as is done in DEB theory to quantify effects of toxic compounds in general. This module has applications in ecotoxicology and environmental risk assessment. 0.44 survival probability Life span hardly depends on food in ecotherms decreases for increasing food in endotherms 0.75 1 time, d Data on Mus musculus: Weindruch et al 1986, MacDowell et al 1927 Van Leeuwen et al Biogerontology 3:
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Aging: sex differentiation
survival prob body length, mm time, d time, d Differences in aging between sexes are caused by differences in energy investment ratio g Data on Daphnia magna: MacArthur & Baillie 1929
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Aging in adult insects No growth survival based on
observed reproduction No growth Weibull Model =3 surviving number # of eggs/beetle, d-1 initial random mort surviving number age after eclosion, d age after eclosion, d age after eclosion, d Data: Ernsting & Isaaks, 1991 Data: Rose 1984 High food, 20/10 °C 0.63 a-2 High food, 10 °C 0.547 a-2 Low food, 20/10 °C 0.374 a-2 Notiophilus biguttatus Drosophila melanogaster
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General Weibull fits DEB
Both models are fitted to the same data They fit equally well and have both 4 parameters Contrary to the Weibull model the DEB model is based on tested assumptions has links with energetics via hW and hG. Data from Elandt-Johnson & Johnson 1980 for white USA males in the period
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Ageing among species Conclusion for life span
Right whale slope 1/3, 1/5 Conclusion for life span hardly depends on max body size of ectotherms increases with length in endotherms Ricklefs & Finch 1995
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DEB tele course 2013 Audience: thank you for your attention
Free of financial costs; Some 108 or 216 h effort investment Program for 2013: Feb/Mar general theory (5w) April symposium at NIOZ-Texel (NL) (8 + 3 d) Target audience: PhD students We encourage participation in groups who organize local meetings weekly Software package DEBtool for Octave/ Matlab freely downloadable Slides of this presentation are downloadable from Cambridge Univ Press 2009 Audience: thank you for your attention
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