First published online February 15, 2008
Journal of Experimental Biology 211, 790-797 (2008)
Published by The Company of Biologists 2008
doi: 10.1242/jeb.014613
Oxygen profiles in egg masses predicted from a diffusion–reaction model
H. Arthur Woods1,* and
Amy L. Moran2
1 Division of Biological Sciences, University of Montana, Missoula, MT 59812,
USA
2 Department of Biological Sciences, Clemson University, Clemson, SC 29634,
USA

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Fig. 1. Model predictions of steady-state O2 profiles in cylindrical egg
masses under two different kinds of reaction kinetics: (A) 1st-order and (B)
Michaelis–Menten.
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Fig. 3. Model comparisons of 1st-order (A) versus Michaelis-Menten (B)
reaction kinetics on time courses of central O2 concentrations
during step-change experiments (i.e. external concentration changed from 280
to 0 nmol cm–3 and then vice versa). Under
first-order reaction kinetics, larger gives
larger initial drawdown (see Fig.
2), and the step-down and step-up-traces are always symmetrical.
Analogously, under Michaelis–Menten kinetics, larger Vmax
gives greater initial drawdown. However, here the step-down and step-up-traces
are asymmetrical, with the asymmetry exaggerated by larger initial
drawdown.
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Fig. 4. Estimating D by fitting simple equations to complicated biological
situations. When O2 is consumed by metabolic processes, estimating
D in biological structures is non-trivial, as metabolism draws down
interior O2 levels and alters the time course of change after
external step changes. Here we simulated step change traces under both
first-order and Michaelis–Menten reaction kinetics and then fitted a
simple equation (Eqn. 9) to the
simulated traces. Under first-order kinetics (A), estimated D was
good when initial drawdown (or ) was small. At higher k,
giving greater initial drawdown, fitted D increasingly overestimated
the known D used in the simulations (3x10–6).
Under Michaelis–Menten kinetics (B), estimated D was again good
when initial drawdown was small. At higher Vmax, giving greater
initial drawdown, the down- and up-traces were highly asymmetrical. In this
case, fitted D from the up-trace always gave values closer to the
known, simulated value.
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Fig. 5. Measured (A) and modeled (B) radial profiles of O2 concentration
in artificial egg masses. Masses were constructed from very low melting point
agarose and 5-day-old fertilized embryos of the Antarctic sea urchin
Sterechinus neumayeri. The model was parameterized using separately
measured values of embryo metabolic rate, O2 diffusion coefficient,
cylinder size, and embryo density. In the model panels (B), horizontal black
lines represent expected O2 levels (air saturated throughout).
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Fig. 6. Representative fits of Eqn 2
to central O2 concentrations in an egg mass (A) with little initial
O2 depression (Tritonia challengeriana egg mass at
–1.5°C; fits shown in green) or (B) with substantial initial
O2 depression (Tritonia diomedea egg mass at 22°C;
fits shown in orange). x- and y-axes are scaled differently
in the two panels. When initial drawdown is slight, estimates of D
from down- and up-traces are similar, whereas when initial drawdown is large
they are divergent (see also Fig.
7).
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Fig. 7. Divergence in estimated D from down- and up-traces as a function
of initial O2 depression. As initial depression increased, traces
became progressively more asymmetrical, leading to larger differences in
estimated D. Regression line
(y=3x10–5x–4x10–6)
was fitted to the pooled data set.
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Fig. 8. Estimated O2 diffusion coefficient (D) in egg masses of
the three species in this study. Paired pieces of egg masses of Tritonia
challengeriana and Tritoniella belli were subjected to either
–1.5 or +2.0°C, and egg masses of Tritonia diomedea were
subjected to 12.2 or 22.3°C. The longer broken line represents the
O2 diffusion coefficient in seawater at 0°C, and the two
shorter lines are for the two warmer temperatures. Values are means ±
s.e.m. (N=5–7).
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© The Company of Biologists Ltd 2008