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Reproductive Technology |
Bioengineering Laboratory,3 Department of Mechanical Engineering, Louisiana State University, Baton Rouge, Louisiana 70803
Aquaculture Research Station,4 Louisiana Agricultural Experiment Station, Louisiana State University Agricultural Center, Baton Rouge, Louisiana
| ABSTRACT |
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gamete biology, sperm, sperm motility and transport
| INTRODUCTION |
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Cryopreservation has been studied in aquatic species for more than 50 yr [68]; however, with some notable exceptions [e.g., 911], cryobiology has largely been neglected in these species. Most research in the 200 or so species that have been studied has addressed empirical development of basic cryopreservation procedures [1214]. Similarly, without firm cryobiology understanding, sperm cryopreservation of diploid oysters has been studied in several species, predominantly the Pacific oyster Crassostrea gigas [e.g., 1519], the eastern oyster, C. virginica [2022], and others [23]. Because reduced gonadal development is associated with improved meat quality and growth [24, 25], triploid oysters (with three sets of chromosomes), which are functionally sterile, offer advantages over diploid oysters. Commercial application of triploid oysters requires efficient methods for triploidy production such as crossing of diploids with tetraploids (that possess four sets of chromosomes), which in turn requires the availability of tetraploid oysters in the hatchery [26]. Clearly, sperm cryopreservation of tetraploid oysters can be a critical tool for commercial-scale application of tetraploid stocks and the consequent expansion of the worldwide triploid oyster market.
Further usage of thawed oyster sperm requires a firm biophysical understanding of the cryopreservation process. Currently the bulk of our understanding in the cryopreservation of oyster sperm (as well as in other aquatic and mammalian species) is still empirical in nature. Because the unique size and morphology of sperm cells limits the applicability of standard cellular cryomicroscopy techniques to measure the biophysical response (water transport and intracellular ice formation) during a freezing process. However, a recent advance in measurement methodology, namely a differential scanning calorimetry (DSC)-based technique [27], has improved our knowledge of the water transport response during freezing in several mammalian gametes, including mouse [28], human [29], horse [30], canine [31], and boar [32]. The DSC technique will also be used, for the first time with an aquatic species, in the present study to improve our understanding of the biophysical response during freezing of sperm cells from diploid and tetraploid Pacific oysters.
The aim of this project was to establish the membrane permeability parameters of sperm cells of diploid and tetraploid Pacific oysters, C. gigas. In the DSC technique, two heat releases from the same cell suspension are measured: 1) during freezing of osmotically active (live) cells in media (in which the intracellular water is being transported across the membrane to freeze in the extracellular space) and 2) during freezing of osmotically inactive (dead) cells in media. The difference in heat release measured between the two cooling trials is correlated to water transport (see a recent review by Devireddy and Bischof [33] and has been independently verified by Yuan and Diller [34] and Diller [35]. The experimentally determined parameters for Pacific oyster sperm membrane permeability were used to numerically predict the loss of intracellular water at various cooling rates (5100°C/min). And finally, the numerical models were analyzed to predict the amount of water left in the sperm cell after dehydration ceases, in the absence of IIF, and to predict optimal cooling rates for Pacific oyster sperm cryopreservation.
| MATERIALS AND METHODS |
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Tetraploid and diploid Pacific oysters were obtained in August 2003 from the Taylor Resources Quilcene Shellfish Hatchery (Quilcene, WA) and were shipped chilled by overnight delivery to the Louisiana State University (LSU) Agricultural Center, Aquaculture Research Station (ARS). Sperm were collected by dry stripping of the gonad [26] and suspended in calcium-free Hanks balanced salt solution at 1000 mOsmol/kg [20]. Sperm concentrations were adjusted to 12 x 109 cells/ml. The sample was transported to the LSU bioengineering laboratory for DSC experiments.
DSC Experiments
The DSC dynamic cooling experiments were performed on concentrated oyster sperm samples in standard aluminum sample pans (Perkin Elmer Corporation, Norwalk, CT). The concentration of the sperm suspension used in the DSC experiments ranged from 1 to 2 x 109 cells/ml. Approximately 10 µl of this sperm suspension was loaded in a DSC sample pan. The DSC dynamic cooling protocol used to measure the water transport out of Pacific oyster sperm cells is the same as reported in earlier studies on mammalian cells [2733] and will be only briefly stated here.
DSC Dynamic Cooling Protocol
Step 1. The sperm cell suspension with or without cryoprotective agents (CPAs) initially at room temperature was cooled at 5°C/min until the extracellular ice nucleated.
Step 2. After nucleation the sample was thawed at a warming rate (5°C/ min) such that phase-change temperature Tph was reached (but not overshot) and ice remained in the extracellular solution. The phase change temperature can be obtained by using the osmolality relationship (Osm1 = 1.858/
T;
T = 273.15 -T, K); thus, for a solution with an osmolality of 1000 mOsm,
T = 1.0*1.858 =
1.858 K or Tph = 1.858°C.
Step 3. The sample was cooled to 50°C at 5 (or 20)°C/min, allowing the sperm cells to undergo cellular dehydration. The lower curve in Figure 1 corresponds to the heat release associated with dehydration, and the total area is represented by qinitial.
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Step 4. The sample was thawed at 20°C/min and re-equilibrated at Tph.
Step 5. To differentiate between the heat released by the media and the intracellular fluid in Step 3, the sample was cooled at a high cooling rate (200°C/min) down to 150°C. This causes all the sperm cells to lyse and become osmotically inactive.
Step 6. Step 4 was repeated.
Step 7. The sample was cooled to 50°C at 5 (or 10)°C/min to measure the final heat release because of lysed or osmotically inactive sperm cells mixed with media. The upper curve in Figure 1 corresponds to this heat release, and the total area is represented by qinitial.
Translation of Heat Release to Cell Volume Data for Dynamic Cooling
The heat release measurements of interest are
qdsc and
q(T)dsc, which are the total and fractional difference between the heat releases measured by integration of the heat flows during freezing of osmotically active (live) cells in media and during freezing of osmotically inactive (dead) cells in media. This difference in heat release has been related to cell volume changes in several biological systems [2733] as,
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Note that the DSC-measured heat release readings
q(T)dsc and
qdsc were obtained separately at 5°C/min (data not shown) and at 20°C/min (as shown in Fig. 1) in the absence and presence of dimethyl sulfoxide (DMSO). The unknowns needed in Equation (1) apart from the DSC heat release readings are Vo (the initial or the isotonic cell volume; in this study the oyster sperm cell is modeled as a "ball-on-stick" structure with the dimensions shown in Table 1 and Fig. 2) and Vb (the final osmotically inactive cell volume or 0.6 Vo; note that in the presence of 8% DMSO, this value increases to 0.626 Vo). The osmotically inactive cell volume, Vb, was assumed to be 0.6 Vo, a value within the range reported for a variety of mammalian sperm (because we are unaware of any published values of Vb of spermatozoa from any aquatic species) [36]. To further our understanding of the effect of Vb on the predicted oyster membrane permeability parameters and the model simulations, additional calculations were also performed assuming Vb = 0.8 Vo and 0.4 Vo.
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Water Transport Model and Numerical Methods
Kedem and Katchalsky [37] proposed a model for water and solute transport in response to chemical potential gradients based on irreversible thermodynamics. If the flux of cryoprotective agent (CPA) is negligible in comparison to the water flux [38], then the Kedem-Katchalsky model reduces to a model that assumes only water transport, as proposed by Mazur [39] and later modified by Levin et al. [40] and Karlsson et al. [41]. The model predicts the change in cell volume with decreasing temperature (dV/dT) after ice has formed outside an unfrozen cell as
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with Lp, the sperm cell membrane permeability to water defined by Levin et al. [40] as
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where, Lpg or Lpg[cpa] is the reference membrane permeability at a reference temperature, TR (= 273.15 K) in the absence and presence of CPA; ELp or ELp[cpa] is the apparent activation energy (kJ/mol) or the temperature dependence of the cell membrane permeability in the absence and presence of CPA; Ac is the effective membrane surface area for water transport, assumed to be constant during the freezing process (see Table 1 and Fig. 2 for the geometric model of the oyster spermatozoa); R is the universal gas constant; B is the constant cooling rate K/min; finally Ci and Co represent the concentrations of the intracellular and extracellular (unfrozen) solutions. The various assumptions made in the development of the water transport are discussed in detail elsewhere [33, 3643] and are beyond the scope of the present study. The two unknown membrane permeability parameters of the model either Lpg[cpa] and ELp[cpa] in the presence of CPA or Lpg and ELp in the absence of CPA, are determined by curve fitting the water transport model to experimentally obtained volumetric shrinkage data during freezing.
Numerical Methods
A nonlinear least squares curve-fitting technique was implemented using a custom-written computer program to calculate the membrane permeability parameters that best fit the volumetric shrinkage data as previously described by Bevington and Robinson [44]. The optimal fit of Equation (2) to the experimental data was obtained by selecting a set of parameters that minimized the residual variance, chi-square, and maximized a goodness-of-fit parameter, R2 [45]. To predict the membrane permeability parameters that produced a combined-best-fit to the experimental water transport data at two or more cooling rates, the nonlinear curve-fitting code was slightly modified such that R2 was maximized by one set of parameters for all cooling rates as previously described [2832, 43]. To simulate the biophysical response of a sperm cell under a variety of cooling rates, the best-fit parameters were substituted in the water transport equation, which was numerically solved using a fourth-order Runge-Kutta method using a FORTRAN code on a Mac Powerbook G4 (Apple Computer Inc., Cupertino, CA) workstation.
| RESULTS |
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Figure 3A shows the water transport data and simulation using best-fit parameters in Equation 3 at cooling rates of 5 and 20°C/min in the absence of CPAs for sperm cells of diploid Pacific oysters (or haploid sperm cells). The dynamic portion of the cooling curve is between 1.86°C and 8°C at these cooling rates. Water transport cessation is observed in the DSC heat release data as an overlap of the thermograms from the heat release signature obtained using osmotically active (initial) and inactive (final) cells, as seen in Figure 1. The best fit of Equation 3 to the 5°C/min diploid water transport data without DMSO was obtained for membrane permeability parameter values of Lpg = 0.27 x 1015 m3/Ns (0.0015 µm/min-atm) and ELp = 61.9 kJ/mol (14.8 kcal/mol) were with an R2 value of 0.99; whereas the corresponding values for the 20°C/min data: Lpg = 0.36 x 1015 m3/Ns (0.0020 µm/min-atm) and ELp = 41.8 kJ/mol (10.0 kcal/mol) were with an R2 value of 0.97 (Table 2). Similarly, Figure 3B shows the water transport data and simulation using the best-fit parameters in Equation 3 at cooling rates of 5 and 20°C/min in the presence of 8% (v/ v) DMSO for haploid sperm cells. The dynamic portion of the cooling curve at these cooling rates is between 2.9°C and 11°C. The best-fit of Equation 3 to the 5°C/min water transport data in the presence of DMSO was obtained for membrane permeability parameter values of Lpg = 0.23 x 1015 m3/Ns (0.0013 µm/min-atm) and ELp = 51.4 kJ/mol (12.3 kcal/mol) were with an R2 value of 0.99, whereas the corresponding values for the 20°C/min data: Lpg = 0.37 x 1015 m3/Ns (0.0021 µm/min-atm) and ELp = 45.6 kJ/mol (10.9 kcal/mol) were with an R2 value of 0.97 (Table 2).
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Figure 4, A and B, show the water transport data and simulation using best-fit parameters in Equation 3 at coolng rates of 5 and 20°C/min in the absence and presence of DMSO for sperm cells of tetraploid Pacific oysters (or diploid sperm cells), respectively. The dynamic portion of the cooling curve at these cooling rates was found to be between 1.86°C and 8°C in the absence of CPAs and between 2.9°C and 11°C in the presence of 8% (v/v) DMSO as shown in Figure 4, A and B, respectively. The best fit of Equation 3 to the 5°C/min tetraploid water transport data without DMSO was obtained for membrane permeability parameter values of Lpg = 0.27 x 1015 m3/Ns (0.0015 µm/min-atm) and ELp = 43.1 kJ/mol (10.3 kcal/ mol) were with an R2 value of 0.99, whereas the corresponding values for the 20°C/min data: Lpg = 0.50 x 1015 m3/Ns (0.0028 µm/min-atm) and ELp = 50.2 kJ/mol (12.0 kcal/mol) were with an R2 value of 0.96 (Table 2). Similarly, the best fit of Equation 3 to the 5°C/min diploid sperm water transport data with 8% DMSO was obtained for membrane permeability parameter values of Lpg = 0.30 x 1015 m3/Ns (0.0017 µm/min-atm) and ELp = 43.1 kJ/mol (10.3 kcal/mol) were with an R2 value of 0.97, whereas the corresponding values for the 20°C/min data: Lpg = 0.37 x 1015 m3/Ns (0.0021 µm/min-atm) and ELp = 41.4 kJ/mol (9.9 kcal/mol) were with an R2 value of 0.95 (Table 2).
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Statistical Analysis
All of the curve-fitting results presented have an R2 value greater than or equal to 0.95, indicating that there was a good agreement between the experimental data points and the fit calculated using the estimated membrane permeability parameters. The differences in the DSC water transport data at 5 and 20°C/min were found to be statistically significantly from one another with more than 95% confidence level (in the dynamic part of the cooling curve) in all the combinations investigated. And finally, the differences in the water transport data, when compared across concentrations of CPA (i.e., comparing the water transport data obtained with and without DMSO), were found to be statistically significant with a confidence level greater than 95% (at both 5 and 20°C/min).
Combined-Best-Fit Parameters
As stated earlier, a new set of membrane permeability parameters (Lpg and ELp or Lpg[cpa] and ELp[cpa]) were obtained that produced a combined-best-fit to the experimentally determined water transport data (Table 2). The combined-best-fit membrane permeability parameters maximized the goodness-of-fit parameter, R2, for the 5 and 20°C/min water transport data concurrently, as described in earlier studies [2832, 43]. Figure 5 shows the contour plots of the goodness-of-fit parameter, R2 (= 0.95) in the Lpg and ELp (or Lpg[cpa] and ELp[cpa]) space that "fit" the water transport data at 5 and 20°C/min in the freezing media without CPAs for haploid sperm cells (Fig. 5A) and for diploid sperm cells (Fig. 5B). Similar contours are shown in Figure 5, C and D, for haploid and diploid oyster sperm cells in the presence of 8% DMSO. Any combination of Lpg and ELp (or Lpg[cpa] and ELp[cpa]) shown to be within the contour will fit the water transport data at that cooling rate with an R2 value of more than 0.95. Note that the contours for the higher cooling rate of 20°C/min were smaller than those obtained at the lower cooling rate of 5°C/min. This suggests that the membrane permeability parameters obtained using the 20°C/min water transport data would predict the volumetric response of the sperm cell at the lower cooling rate of 5°C/min accurately, whereas the converse was not true.
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Water Transport Simulations
Water transport simulations obtained using the combined-best-fit parameters in Equation 3 are shown for a variety of cooling rates (5100°C/min) in Figure 6. In Figure 6, A and B, the numerically simulated nondimensional cellular volume (V/Vo) obtained using the combined-best-fit parameters is shown for a variety of cooling rates (5, 20, 40, 50, and 100°C/min) in the absence of CPAs for sperm cells from diploid and tetraploid Pacific oysters. Similar simulations are shown in Figure 6, C and D, for sperm cells from diploid and tetraploid Pacific oysters in the presence of 8% DMSO. The nondimensional cellular volume (V/Vo), which decreases because of dehydration during freezing, is plotted on the y-axis, whereas the subzero temperatures are plotted on the x-axis. From the simulations, the amount of trapped water (or a lower boundary on the intracellular ice) was computed as a ratio of the volume of the water trapped inside the sperm cell at the temperature, T (
30°C) in which intracellular ice formation can occur by a homogenous or volume-catalyzed nucleation [46] to the initial sperm water volume, [(VVb)/(VoVb)] (where V is the end volume after water transport ceases [at
30°C], and Vo and Vb are the initial [isotonic] and final [osmotically inactive] sperm cell volumes) as described earlier for a several biological systems [2832, 33, 43].
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For haploid sperm cells (or cells from diploid Pacific oysters) in the absence of CPAs, for cooling rates of less than or equal to 40, 50, and 100°C/min, the trapped water volume was less than or equal to 1.25%, 1.75%, and 47.25% of the initial osmotically active water volume, and the end volumes were less than or equal to 0.605 Vo, 0.607 Vo and 0.789 Vo (Fig. 6A). For haploid sperm cells, in the presence of 8% DMSO, for cooling rates of less than or equal to 20, 40, 50, and 100°C/min, the trapped water volume was less than or equal to 1.60%, 2.41%, 11.50%, and 52.41% of the initial osmotically active water volume, and the end volumes were less than or equal to 0.632 Vo, 0.635 Vo, 0.669 Vo, and 0.822 Vo (Fig. 6C). Similarly, for diploid sperm cells (or cells from tetraploid Pacific oysters) in the absence of CPAs, for cooling rates of less than or equal to 50 and 100°C/min, the trapped water volume was less than or equal to 1.25% and 37.5% of the initial osmotically active water volume, and the end volumes were less than or equal to 0.605 Vo and 0.75 Vo (Fig. 6B). And finally, for diploid sperm cells in the presence of 8% DMSO, for cooling rates of less than or equal to 20, 40, 50, and 100°C/ min, the trapped water volume was less than or equal to 1.60%, 2.41%, 12.30%, and 52.94% of the initial osmotically active water volume, whereas the end volumes were less than or equal to 0.632 Vo, 0.635 Vo, 0.672 Vo, and 0.824 Vo, respectively (Fig. 6D).
As stated in the Introduction, the cooling rate that optimizes cell survival after a freeze thaw for any cellular system can be defined as the fastest cooling rate in a given media without forming damaging IIF [5]. Mazur [47] defines IIF as damaging and lethal if 1015% of the initial intracellular water is involved. We defined the optimal cooling rate as the cooling rate at which 5% of the initial osmotically active water volume was trapped inside the cells at 30°C. Note that if IIF occurs by a heterogeneous or a surface-catalyzed nucleation mechanism [46] (generally between 5 and 20°C for a variety of single cells), which our model does not predict, then potentially even more water would be trapped in the sperm cells than predicted by water transport alone (i.e., the lower boundary of intracellular ice discussed above). Thus, the optimal cooling rates based on the lower boundary of intracellular ice would be overestimated. Based on the simulations (shown in Fig. 6) obtained using the combined-best-fit parameters, the optimal cooling rate in the absence and presence of a CPA for haploid sperm cells were
53°C/min and
44°C/min. Similarly, the optimal cooling rates in the absence and presence of a CPA for diploid sperm cells were
63°C/min and
43°C/min.
Parameter Sensitivity AnalysisEffect of Varying the Osmotically Inactive Cell Volume (Vb)
The value of the osmotically inactive cell volume of mammalian sperm cells has been reported to range from 0.6 Vo (the value used in this and other studies) to as low as 0.25 Vo and as high as 0.80 Vo [2833, 36]. To study the effect of varying the osmotically inactive cell volume on the predicted membrane permeability parameters (Lpg and ELp or Lpg[cpa] and ELp[cpa]), the value of Vb was increased to 0.8 Vo and decreased to 0.4 Vo. The DSC data were correspondingly modified (using Equation 1), and the modified data were fitted to the water transport model (Equations 2 and 3) using the nonlinear least squares curve- fitting technique as previously described. The predicted values of the membrane permeability parameters using an osmotically inactive cell volume of 0.4 Vo and 0.8 Vo were then obtained both in the presence and absence of DMSO (data not shown in the interest of brevity). The predicted optimal cooling rates obtained using these parameters were in good agreement (± 10%) to the values obtained with Vb of 0.6 Vo described earlier. Thus, the variation in the value of Vb did not significantly alter the model predictions, and as noted earlier depending on the concentration of DMSO, cooling rates as low as 4070°C/min can cause a significant volume of intracellular water to be trapped inside the oyster spermatozoa.
Parameter Sensitivity AnalysisEffect of Varying the Cell Geometry
To study the effect of varying the cell membrane surface (Ac) and cell volume (Vo) on the predicted membrane permeability parameters (Lpg and ELp or Lpg[cpa] and ELp[cpa]), it was assumed that the oyster sperm cells could be modeled as isolated spherical cells or as heads alone (with diameters of 1.66 and 2.14 µm for haploid and diploid sperm cells; see Table 1). The corresponding membrane permeability parameters (Lpg and ELp or Lpg[cpa] and ELp[cpa]) are shown in Table 3. Additional numerical simulations were performed assuming a spherical model for the oyster sperm cells and using the combined-best-fit parameters (Table 3) in the water transport model (Equations 2 and 3). As before, an analysis of these simulations was performed to predict the lower boundary on trapped intracellular ice and the optimal rate of freezing oyster sperm cells. The predicted optimal cooling rates of haploid sperm cells in the absence and presence of 8% DMSO, assuming a spherical model were
62°C/min and
47°C/min. Similarly, the optimal cooling rates in the absence and presence of DMSO, for diploid oyster sperm cells were
42°C/min and
39°C/min. These optimal cooling rate values are in the same range as those obtained with the "ball-on-stick" model, presented earlier.
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| DISCUSSION |
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Effect of Varying the Cell Geometry
The reference membrane permeability (Lpg or Lpg[cpa) values obtained using the spherical cell (heads alone) model (Table 3) are uniformly higher than those obtained using the "ball-on-stick" (head and tail) model (Table 2). This increase in the predicted membrane permeability between the "ball-on-stick" and the spherical cell model is not surprising because Equation 2 shows that the change in the oyster sperm cell volume as a function of temperature (dV/ dT) is proportional to the product of Lp and Ac. Note that the spherical cell model has lower surface area available for water transport than the "ball-on-stick" model (Table 1). Thus, for a given change in the oyster sperm cell volume as a function of temperature (dV/dT), a decrease in Ac will cause a corresponding increase in the predicted value of Lp or Lp[cpa] where Lp = f (Lpg, ELp) and Lp[cpa] = f (Lpg[cpa], ELp[cpa]). Thus, any changes to the geometrical model of the oyster sperm cell (specifically membrane surface area, Ac and isotonic cell volume, Vo) should manifest themselves with corresponding changes to the model predicted membrane permeability parameters (Lpg and ELp or Lpg[cpa] and ELp[cpa]) [48].
Effect of Cooling Rate on Predicted Membrane Permeability Parameters
There was good agreement (±20%) in the predicted value of the activation energy, ELp (or ELp[cpa]) at 5 and 20°C/ min for haploid and diploid sperm cells in the absence and presence of DMSO (with the exception of diploid sperm cells with an assumed Vb of 0.8 Vo). This lack of variation in the activation energy values between 5 and 20°C/min suggests that the oyster sperm cells cooled at 20°C/min underwent complete dehydration, and the final end volume was comparable with the assumed value of the osmotically inactive cell volume. This assertion is further supported by the observations that: 1) the magnitude of the DSC-measured difference in heat release,
qdsc, was found to be constant between 5 and 20°C/min; and 2) no secondary heat release was observed at 20°C/min, suggesting incomplete dehydration, as was the case for Epstein Barr virus-transformed lymphocytes [27] and liver tissue of a freeze-tolerant wood frog, Rana sylvatica [49]. As stated in earlier studies [2733], a major disadvantage of the DSC technique is its inability to distinguish heat released because of water transport and IIF. Based on our results, it is reasonable to presume that oyster sperm cells cooled at 20°C/min did in fact undergo complete dehydration (in which water transport was the dominant biophysical mechanism), and hence the DSC results at the higher cooling rate of 20°C/min were indicative of the rate of cellular water loss from oyster sperm cells.
Effect of CPAs on Membrane Transport Parameters
The DSC technique was used to obtain water transport data and water permeability parameters (Lpg[cpa] and ELp[cpa]) of oyster sperm cells in the presence of DMSO. Although the exact mechanism by which the presence of DMSO or other CPAs modifies the water permeability parameters is as yet unknown, several studies have shown that the presence of CPAs tends to reduce the membrane permeability parameters, Lpg[cpa] and ELp[cpa] [2833, 43, 50]. This is at least partially the case in the present study, in which an increase in the concentration of solutes in the extracellular medium was shown to reduce, although not significantly, the predicted value of membrane permeability parameters for Pacific oyster sperm cells. However, the addition of DMSO actually resulted in an increase in the predicted values of the "combined best-fit" membrane permeability parameters for diploid sperm cells. Further studies are clearly needed to elucidate the mechanism by which CPAs modify membrane permeability parameters.
Effect of Oyster Cell Type on Membrane Transport Parameters
As stated earlier, the differences in the measured water transport data between haploid and diploid oyster sperm cells were not statistically significant. It is possible that the DSC technique cannot distinguish the "subtle" differences in water transport between these cells. This possibility is small, given a recent study on equine sperm that demonstrated differences in volumetric shrinkage among samples that were collected and cooled to 4°C under different conditions, including osmotic shock and cold shock [51]. Thus, it is likely that the ability of oyster sperm cells to shrink in the presence of extracellular ice during a thermal insult is independent of the ploidy level. However, differences in the size of the sperm cells did result in different membrane permeability parameters for haploid and diploid oyster sperm cells. Cursory evaluation of the predicted membrane permeability parameters did not determine any consistent effect of cell type on the predicted parameters (Lpg and ELp or Lpg[cpa] and ELp[cpa]). Also, an examination of the contour plots shown in Figure 5 suggested that the parametric space that would "fit" the haploid sperm cell water transport data is significantly larger than that for diploid sperm cells (comparing the contours of Fig. 5A with Fig. 5B, especially at 5°C/min in the absence of DMSO; and the contours of Fig. 5C with that of Fig. 5D, especially at 20°C/ min in the presence of DMSO). This suggests that the membrane permeability parameters obtained for the diploid sperm cells would predict the volumetric response of the haploid sperm cell quite accurately, whereas the converse was not true. Further illustration of this observation was obtained by comparing the predicted optimal cooling rates with diploid sperm cell parameters and the haploid sperm cell volume and surface area with those obtained earlier with haploid cell parameters and haploid cell dimensions (41 vs. 53°C/min in the absence of DMSO and 34 vs. 44°C/ min with DMSO or ± 22% of each other). Conversely, the predicted optimal cooling rates with haploid sperm cell parameters and the diploid cell volume and surface area with those obtained earlier with diploid cell parameters and diploid cell dimensions were significantly different (83 vs. 63°C/min in the absence of DMSO and 57 vs. 43°C/min with DMSO or ± 33% of each other). It is as yet unclear whether this is a general effect related to the ploidy level of the sperm cells or a unique result for sperm cells from diploid and tetraploid Pacific oysters, C. gigas.
In summary, water transport (volumetric shrinkage) was evaluated for haploid and diploid oyster sperm cells in the presence of extracellular ice and a CPA (DMSO) during freezing using the DSC technique at two different cooling rates (5 and 20°C/min). This represents the first such effort for sperm cells from any aquatic species. The predicted "combined best-fit" permeability parameters ranged from Lpg or Lpg[cpa] = 0.23 x 1015 to 0.50 x 1015 m3/Ns (0.0013 to 0.0028 µm/min-atm) and ELp or ELp[cpa] = 37.6 to 61.9 kJ/mol (9.0 to 14.8 kcal/mol), whereas the predicted optimal rates of freezing ranged from 40 to 70°C/min. It is hoped that the water permeability parameters presented in this study will help to establish cryopreservation of Pacific oyster sperm cells on a firm biophysical basis. Future studies should make direct comparisons of the optimal cooling rates predicted using the water transport models developed here with empirical values for spermatozoa of Pacific oysters, C. gigas.
| FOOTNOTES |
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2 Correspondence: Ram Devireddy, Department of Mechanical Engineering, Louisiana State University, Baton Rouge, LA 70803. FAX: 225 578 5924; devireddy{at}me.lsu.edu ![]()
Received: 13 November 2003.
First decision: 5 December 2003.
Accepted: 9 January 2004.
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