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Sperm pairing and measures of efficiency in planar swimming models
Sperm pairing and measures of efficiency in planar
swimming models
Paul Cripe, Owen Richfield, and Julie Simons
Tulane University Center for Computational Science
January 6, 2016
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 1 / 14
Sperm pairing and measures of efficiency in planar swimming models
Introduction
Monodelphis domestica
Figure: Wikimedia.org and Pizzari et al, PLoS Bio., 2008
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 2 / 14
Sperm pairing and measures of efficiency in planar swimming models
Introduction
This fused “sperm pair” reach 23.8% higher velocities than a single
Monodelphis domestica sperm swimming alone (HD Moore et al,
Biol. of Rep., 1995).
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 3 / 14
Sperm pairing and measures of efficiency in planar swimming models
Introduction
This fused “sperm pair” reach 23.8% higher velocities than a single
Monodelphis domestica sperm swimming alone (HD Moore et al,
Biol. of Rep., 1995).
How will changing the geometry of fusion change these velocity gains?
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 3 / 14
Sperm pairing and measures of efficiency in planar swimming models
Introduction
This fused “sperm pair” reach 23.8% higher velocities than a single
Monodelphis domestica sperm swimming alone (HD Moore et al,
Biol. of Rep., 1995).
How will changing the geometry of fusion change these velocity gains?
How is the efficiency of the motion affected by this behavior?
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 3 / 14
Sperm pairing and measures of efficiency in planar swimming models
Introduction
This fused “sperm pair” reach 23.8% higher velocities than a single
Monodelphis domestica sperm swimming alone (HD Moore et al,
Biol. of Rep., 1995).
How will changing the geometry of fusion change these velocity gains?
How is the efficiency of the motion affected by this behavior?
Our goal: to answer these questions using a computational model.
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 3 / 14
Sperm pairing and measures of efficiency in planar swimming models
Mathematical Model: Flagellum
b
s = 0
Xj(t)
∆s
s = L
bending force
tensile forces
Figure: Preferred curvature model of a sperm flagellum with sinusoidal waveform
(L. Fauci et al, J. of Comp. Phys., 1988)
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 4 / 14
Sperm pairing and measures of efficiency in planar swimming models
Mathematical Model: Fluid
Due to their microscopic size, sperm move in a viscous fluid with a
Reynolds number on the order of 10−4–10−2.
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 5 / 14
Sperm pairing and measures of efficiency in planar swimming models
Mathematical Model: Fluid
Due to their microscopic size, sperm move in a viscous fluid with a
Reynolds number on the order of 10−4–10−2.
Use the incompressible Stokes equations to model the governing fluid
dynamics:
µ∆u = p − F(x)
· u = 0
(1)
where u is the fluid velocity, µ is the dynamic viscosity, p is pressure,
and F is the external force density (force per unit volume).
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 5 / 14
Sperm pairing and measures of efficiency in planar swimming models
Mathematical Model: Fluid
Due to their microscopic size, sperm move in a viscous fluid with a
Reynolds number on the order of 10−4–10−2.
Use the incompressible Stokes equations to model the governing fluid
dynamics:
µ∆u = p − F(x)
· u = 0
(1)
where u is the fluid velocity, µ is the dynamic viscosity, p is pressure,
and F is the external force density (force per unit volume).
Immersing our flagellum in this fluid and using the method of
Regularized Stokeslets (R. Cortez, SIAM J. of Sci. Comp, 2001),
we may update flagellum position over time:
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 5 / 14
Sperm pairing and measures of efficiency in planar swimming models
Mathematical Model: Fluid
Due to their microscopic size, sperm move in a viscous fluid with a
Reynolds number on the order of 10−4–10−2.
Use the incompressible Stokes equations to model the governing fluid
dynamics:
µ∆u = p − F(x)
· u = 0
(1)
where u is the fluid velocity, µ is the dynamic viscosity, p is pressure,
and F is the external force density (force per unit volume).
Immersing our flagellum in this fluid and using the method of
Regularized Stokeslets (R. Cortez, SIAM J. of Sci. Comp, 2001),
we may update flagellum position over time:
−0.5 0 0.5
−0.2
0
0.2
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 5 / 14
Sperm pairing and measures of efficiency in planar swimming models
“Paired” Sperm Model
θ h
Figure: Fused head pair of swimmers (shown in antiphase).
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 6 / 14
Sperm pairing and measures of efficiency in planar swimming models
Results
0 50 100
-50
0
50
0 50 100
-50
0
50
0 50 100
-50
0
50
0 50 100
-50
0
50
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 7 / 14
Sperm pairing and measures of efficiency in planar swimming models
Results
0 20 40 60 80 100
50
60
70
80
90
Angle θ (degrees)
Velocity(µm/s)
0 20 40 60 80 100
0.7
0.8
0.9
1
1.1
Angle θ (degrees)
Efficiencyβ/β0
Figure: Velocity and Efficiency vs. Angle of Fusion.
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 8 / 14
Sperm pairing and measures of efficiency in planar swimming models
Angle of Fusion, θ
100 200 300 400 500 600 700 800 900 1000
0
100
200
300
400
500
600
Figure: The angle of fusion of two M. domestica sperm. Characteristic angle is
approximately 60 degrees (HD Moore et al, Biol. of Rep., 1995).
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 9 / 14
Sperm pairing and measures of efficiency in planar swimming models
Conclusions
According to our model, paired sperm are 26.6% faster than single
sperm, similar to the findings of Moore et al.
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 10 / 14
Sperm pairing and measures of efficiency in planar swimming models
Conclusions
According to our model, paired sperm are 26.6% faster than single
sperm, similar to the findings of Moore et al.
Paired sperm swimming is also more efficient at an angle of fusion of
approximately 60 degrees.
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 10 / 14
Sperm pairing and measures of efficiency in planar swimming models
Conclusions
According to our model, paired sperm are 26.6% faster than single
sperm, similar to the findings of Moore et al.
Paired sperm swimming is also more efficient at an angle of fusion of
approximately 60 degrees.
These findings may give some insight into why M. domestica sperm
fuse at this angle.
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 10 / 14
Sperm pairing and measures of efficiency in planar swimming models
Acknowledgments
I would like to thank
Julie Simons and Paul Cripe for work on this project.
The Tulane University Center for Computational Science.
This work was supported in part by the National Science Foundation
grant DMS-104626
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 11 / 14
Sperm pairing and measures of efficiency in planar swimming models
Energy Formulation
F(x) =
L
0
f(X(s, t), t)φ (||x − X(s, t)||)ds. (2)
E(X, t) = Etens(X, t) + Ebend (X, t)
Etens =
1
2
St
N
j=2
Xj − Xj−1
∆s
− 1
2
∆s
Ebend =
1
2
Sb
N−1
j=2
(xj+1 − xj )(yj − yj−1) − (yj+1 − yj )(xj − xj−1)
∆s3
− Cj (t)
2
∆
Cj (t) = k2
b sin(kj∆s − ωt + φ0). (3)
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 12 / 14
Sperm pairing and measures of efficiency in planar swimming models
Energy Formulation
Etens =
1
2
St
N
j=2
Xj − Xj−1
∆s
− 1
2
∆s
Ebend =
1
2
Sb
N−1
j=2
(xj+1 − xj )(yj − yj−1) − (yj+1 − yj )(xj − xj−1)
∆s3
− Cj (t)
2
∆
Cj (t) = k2
b sin(kj∆s − ωt + φ0). (4)
fj = −
dE
dXj
u(x, t) =
N
j=1
fj (r2
j + 2 2) + (fj · (x − Xj )(x − Xj ))
8πµ(r2
j + 2)
3
2
. (5)
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 13 / 14
Sperm pairing and measures of efficiency in planar swimming models
[2, 1, 3, 4]
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 14 / 14
Sperm pairing and measures of efficiency in planar swimming models
R Cortez.
The method of regularized stokeslets.
SIAM Journal of Scientific Computing, 23(4):1204–1225, 2001.
Lisa J Fauci and Charles S Peskin.
A computational model of aquatic animal locomotion.
Journal of Computational Physics, 77(1):85–108, 1988.
HD Moore and DA Taggart.
Sperm pairing in the opossum increases the efficiency of sperm
movement in a viscous environment.
Biology of reproduction, 52(4):947–953, 1995.
Tommaso Pizzari and Kevin R Foster.
Sperm sociality: cooperation, altruism, and spite.
PLoS biology, 6(5):e130, 2008.
Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 14 / 14

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jmm1-slash-6 (7)

  • 1. Sperm pairing and measures of efficiency in planar swimming models Sperm pairing and measures of efficiency in planar swimming models Paul Cripe, Owen Richfield, and Julie Simons Tulane University Center for Computational Science January 6, 2016 Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 1 / 14
  • 2. Sperm pairing and measures of efficiency in planar swimming models Introduction Monodelphis domestica Figure: Wikimedia.org and Pizzari et al, PLoS Bio., 2008 Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 2 / 14
  • 3. Sperm pairing and measures of efficiency in planar swimming models Introduction This fused “sperm pair” reach 23.8% higher velocities than a single Monodelphis domestica sperm swimming alone (HD Moore et al, Biol. of Rep., 1995). Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 3 / 14
  • 4. Sperm pairing and measures of efficiency in planar swimming models Introduction This fused “sperm pair” reach 23.8% higher velocities than a single Monodelphis domestica sperm swimming alone (HD Moore et al, Biol. of Rep., 1995). How will changing the geometry of fusion change these velocity gains? Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 3 / 14
  • 5. Sperm pairing and measures of efficiency in planar swimming models Introduction This fused “sperm pair” reach 23.8% higher velocities than a single Monodelphis domestica sperm swimming alone (HD Moore et al, Biol. of Rep., 1995). How will changing the geometry of fusion change these velocity gains? How is the efficiency of the motion affected by this behavior? Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 3 / 14
  • 6. Sperm pairing and measures of efficiency in planar swimming models Introduction This fused “sperm pair” reach 23.8% higher velocities than a single Monodelphis domestica sperm swimming alone (HD Moore et al, Biol. of Rep., 1995). How will changing the geometry of fusion change these velocity gains? How is the efficiency of the motion affected by this behavior? Our goal: to answer these questions using a computational model. Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 3 / 14
  • 7. Sperm pairing and measures of efficiency in planar swimming models Mathematical Model: Flagellum b s = 0 Xj(t) ∆s s = L bending force tensile forces Figure: Preferred curvature model of a sperm flagellum with sinusoidal waveform (L. Fauci et al, J. of Comp. Phys., 1988) Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 4 / 14
  • 8. Sperm pairing and measures of efficiency in planar swimming models Mathematical Model: Fluid Due to their microscopic size, sperm move in a viscous fluid with a Reynolds number on the order of 10−4–10−2. Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 5 / 14
  • 9. Sperm pairing and measures of efficiency in planar swimming models Mathematical Model: Fluid Due to their microscopic size, sperm move in a viscous fluid with a Reynolds number on the order of 10−4–10−2. Use the incompressible Stokes equations to model the governing fluid dynamics: µ∆u = p − F(x) · u = 0 (1) where u is the fluid velocity, µ is the dynamic viscosity, p is pressure, and F is the external force density (force per unit volume). Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 5 / 14
  • 10. Sperm pairing and measures of efficiency in planar swimming models Mathematical Model: Fluid Due to their microscopic size, sperm move in a viscous fluid with a Reynolds number on the order of 10−4–10−2. Use the incompressible Stokes equations to model the governing fluid dynamics: µ∆u = p − F(x) · u = 0 (1) where u is the fluid velocity, µ is the dynamic viscosity, p is pressure, and F is the external force density (force per unit volume). Immersing our flagellum in this fluid and using the method of Regularized Stokeslets (R. Cortez, SIAM J. of Sci. Comp, 2001), we may update flagellum position over time: Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 5 / 14
  • 11. Sperm pairing and measures of efficiency in planar swimming models Mathematical Model: Fluid Due to their microscopic size, sperm move in a viscous fluid with a Reynolds number on the order of 10−4–10−2. Use the incompressible Stokes equations to model the governing fluid dynamics: µ∆u = p − F(x) · u = 0 (1) where u is the fluid velocity, µ is the dynamic viscosity, p is pressure, and F is the external force density (force per unit volume). Immersing our flagellum in this fluid and using the method of Regularized Stokeslets (R. Cortez, SIAM J. of Sci. Comp, 2001), we may update flagellum position over time: −0.5 0 0.5 −0.2 0 0.2 Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 5 / 14
  • 12. Sperm pairing and measures of efficiency in planar swimming models “Paired” Sperm Model θ h Figure: Fused head pair of swimmers (shown in antiphase). Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 6 / 14
  • 13. Sperm pairing and measures of efficiency in planar swimming models Results 0 50 100 -50 0 50 0 50 100 -50 0 50 0 50 100 -50 0 50 0 50 100 -50 0 50 Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 7 / 14
  • 14. Sperm pairing and measures of efficiency in planar swimming models Results 0 20 40 60 80 100 50 60 70 80 90 Angle θ (degrees) Velocity(µm/s) 0 20 40 60 80 100 0.7 0.8 0.9 1 1.1 Angle θ (degrees) Efficiencyβ/β0 Figure: Velocity and Efficiency vs. Angle of Fusion. Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 8 / 14
  • 15. Sperm pairing and measures of efficiency in planar swimming models Angle of Fusion, θ 100 200 300 400 500 600 700 800 900 1000 0 100 200 300 400 500 600 Figure: The angle of fusion of two M. domestica sperm. Characteristic angle is approximately 60 degrees (HD Moore et al, Biol. of Rep., 1995). Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 9 / 14
  • 16. Sperm pairing and measures of efficiency in planar swimming models Conclusions According to our model, paired sperm are 26.6% faster than single sperm, similar to the findings of Moore et al. Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 10 / 14
  • 17. Sperm pairing and measures of efficiency in planar swimming models Conclusions According to our model, paired sperm are 26.6% faster than single sperm, similar to the findings of Moore et al. Paired sperm swimming is also more efficient at an angle of fusion of approximately 60 degrees. Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 10 / 14
  • 18. Sperm pairing and measures of efficiency in planar swimming models Conclusions According to our model, paired sperm are 26.6% faster than single sperm, similar to the findings of Moore et al. Paired sperm swimming is also more efficient at an angle of fusion of approximately 60 degrees. These findings may give some insight into why M. domestica sperm fuse at this angle. Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 10 / 14
  • 19. Sperm pairing and measures of efficiency in planar swimming models Acknowledgments I would like to thank Julie Simons and Paul Cripe for work on this project. The Tulane University Center for Computational Science. This work was supported in part by the National Science Foundation grant DMS-104626 Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 11 / 14
  • 20. Sperm pairing and measures of efficiency in planar swimming models Energy Formulation F(x) = L 0 f(X(s, t), t)φ (||x − X(s, t)||)ds. (2) E(X, t) = Etens(X, t) + Ebend (X, t) Etens = 1 2 St N j=2 Xj − Xj−1 ∆s − 1 2 ∆s Ebend = 1 2 Sb N−1 j=2 (xj+1 − xj )(yj − yj−1) − (yj+1 − yj )(xj − xj−1) ∆s3 − Cj (t) 2 ∆ Cj (t) = k2 b sin(kj∆s − ωt + φ0). (3) Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 12 / 14
  • 21. Sperm pairing and measures of efficiency in planar swimming models Energy Formulation Etens = 1 2 St N j=2 Xj − Xj−1 ∆s − 1 2 ∆s Ebend = 1 2 Sb N−1 j=2 (xj+1 − xj )(yj − yj−1) − (yj+1 − yj )(xj − xj−1) ∆s3 − Cj (t) 2 ∆ Cj (t) = k2 b sin(kj∆s − ωt + φ0). (4) fj = − dE dXj u(x, t) = N j=1 fj (r2 j + 2 2) + (fj · (x − Xj )(x − Xj )) 8πµ(r2 j + 2) 3 2 . (5) Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 13 / 14
  • 22. Sperm pairing and measures of efficiency in planar swimming models [2, 1, 3, 4] Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 14 / 14
  • 23. Sperm pairing and measures of efficiency in planar swimming models R Cortez. The method of regularized stokeslets. SIAM Journal of Scientific Computing, 23(4):1204–1225, 2001. Lisa J Fauci and Charles S Peskin. A computational model of aquatic animal locomotion. Journal of Computational Physics, 77(1):85–108, 1988. HD Moore and DA Taggart. Sperm pairing in the opossum increases the efficiency of sperm movement in a viscous environment. Biology of reproduction, 52(4):947–953, 1995. Tommaso Pizzari and Kevin R Foster. Sperm sociality: cooperation, altruism, and spite. PLoS biology, 6(5):e130, 2008. Paul Cripe, Owen Richfield, and Julie Simons | Tulane University Center for Computational Science | January 6, 2016 14 / 14