Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-02T21:45:20.023Z Has data issue: false hasContentIssue false

Measuring Sperm Movement within the Female Reproductive Tract using Fourier Analysis

Published online by Cambridge University Press:  02 February 2015

Philip R. Nicovich*
Affiliation:
ARC Centre of Excellence in Molecular Imaging, School of Medical Sciences, The University of New South Wales, Sydney, NSW 2052, Australia Biomedical Imaging Facility, Mark Wainwright Analytical Centre, The University of New South Wales, Sydney, NSW 2052, Australia
Erin L. Macartney
Affiliation:
Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
Renee M. Whan
Affiliation:
Biomedical Imaging Facility, Mark Wainwright Analytical Centre, The University of New South Wales, Sydney, NSW 2052, Australia
Angela J. Crean
Affiliation:
Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
*
*Corresponding author.[email protected]
Get access

Abstract

The adaptive significance of variation in sperm phenotype is still largely unknown, in part due to the difficulties of observing and measuring sperm movement in its natural, selective environment (i.e., within the female reproductive tract). Computer-assisted sperm analysis systems allow objective and accurate measurement of sperm velocity, but rely on being able to track individual sperm, and are therefore unable to measure sperm movement in species where sperm move in trains or bundles. Here we describe a newly developed computational method for measuring sperm movement using Fourier analysis to estimate sperm tail beat frequency. High-speed time-lapse videos of sperm movement within the female tract of the neriid fly Telostylinus angusticollis were recorded, and a map of beat frequencies generated by converting the periodic signal of an intensity versus time trace at each pixel to the frequency domain using the Fourier transform. We were able to detect small decreases in sperm tail beat frequency over time, indicating the method is sensitive enough to identify consistent differences in sperm movement. Fourier analysis can be applied to a wide range of species and contexts, and should therefore facilitate novel exploration of the causes and consequences of variation in sperm movement.

Type
Biological and Biomaterials Applications
Copyright
© Microscopy Society of America 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amann, R.P. & Waberski, D. (2014). Computer-assisted sperm analysis (CASA): Capabilities and potential developments. Theriogenology 81(1), 517.CrossRefGoogle ScholarPubMed
Birkhead, T. & Montgomerie, R. (2009). Three centuries of sperm research. In Sperm Biology, Birkhead, T., Hosken, D.J. & Pitnick, S. (Eds.), pp. 142. Oxford: Academic Press.Google Scholar
Bloomfield, P. (2000). Fourier Analysis of Time Series: An Introduction. New York: John Wiley and Sons.Google Scholar
Bonduriansky, R. (2007). The evolution of condition-dependent sexual dimorphism. Am Nat 169(1), 919.Google Scholar
Boryshpolets, S., Kowalski, R.K., Dietrich, G.J., Dzyuba, B. & Ciereszko, A. (2013). Different computer-assisted sperm analysis (CASA) systems highly influence sperm motility parameters. Theriogenology 80(7), 758765.CrossRefGoogle ScholarPubMed
Cornwallis, C.K. & Birkhead, T.R. (2007). Changes in sperm quality and numbers in response to experimental manipulation of male social status and female attractiveness. Am Nat 170(5), 758770.Google Scholar
Crean, A.J., Dwyer, J.M. & Marshall, D.J. (2012). Fertilization is not a new beginning: The relationship between sperm longevity and offspring performance. PLoS One 7, 11.Google Scholar
Cummins, J. (2009). Sperm motility and energetics. In Sperm Biology: An Evolutionary Perspective, Birkhead, T.R., Hosken, D.J. & Pitnick, S. (Eds.), pp. 185206. Oxford: Academic Press.Google Scholar
Curtis, S.K. & Benner, D.B. (1991). Movement of spermatozoa of Megaselia scalaris (Diptera: Brachycera: Cyclorrhapha: Phoridae) in artificial and natural fluids. J Morphol 210(1), 8599.CrossRefGoogle ScholarPubMed
Gage, M.J.G. & Morrow, E.H. (2003). Experimental evidence for the evolution of numerous, tiny sperm via sperm competition. Curr Biol 13(9), 754757.Google Scholar
Hawthorne, W.R. (1951). Secondary circulation in fluid flow. Proc R Soc Lond Ser. A-Math Phys Sci 206(1086), 374387.Google Scholar
Humphries, S., Evans, J.P. & Simmons, L.W. (2008). Sperm competition: Linking form to function. BMC Evol Biol 8, 319.Google Scholar
Immler, S. (2008). Sperm competition and sperm cooperation: The potential role of diploid and haploid expression. Reproduction 135(3), 275283.CrossRefGoogle ScholarPubMed
Jasko, D.J., Lein, D.H. & Foote, R.H. (1990). A comparison of two computer-automated semen analysis instruments for the evaluation of sperm motion characteristics in the Stallion. J Androl 11(5), 453459.Google Scholar
Kamiya, R. & Hasegawa, E. (1987). Intrinsic difference in beat frequency between the two flagella of Chlamydomonas reinhardtii . Exp Cell Res 173(1), 299304.Google Scholar
Kelly, C.D. & Jennions, M.D. (2011). Sexual selection and sperm quantity: Meta-analyses of strategic ejaculation. Biol Rev 86(4), 863884.CrossRefGoogle ScholarPubMed
Kobayasi, S., Maeda, K. & Imae, Y. (1977). Apparatus for detecting rate and direction of rotation of tethered bacterial cells. Rev Sci Instrum 48(4), 407410.Google Scholar
Lessells, C.M. & Boag, P.T. (1987). Unrepeatable repeatabilities: A common mistake. Auk 104(1), 116121.CrossRefGoogle Scholar
Lupold, S., Manier, M.K., Berben, K.S., Smith, K.J., Daley, B.D., Buckley, S.H., Belote, J.M. & Pitnick, S. (2012). How multivariate ejaculate traits determine competitive fertilization success in Drosophila melanogaster . Curr Biol 22(18), 16671672.Google Scholar
Parker, G.A. (1970). Sperm competition and its evolutionary consequences in insects. Biol Rev Camb Philos Soc 45(4), 525567.CrossRefGoogle Scholar
Pizzari, T., Cornwallis, C.K., Lovlie, H., Jakobsson, S. & Birkhead, T.R. (2003). Sophisticated sperm allocation in male fowl. Nature 426(6962), 7074.Google Scholar
Pizzari, T. & Foster, K.R. (2008). Sperm sociality: Cooperation, altruism, and spite. PLoS Biol 6(5), 925931.CrossRefGoogle ScholarPubMed
Pizzari, T. & Parker, G.A. (2009). Sperm competition and sperm phenotype. In Sperm Biology: An Evolutionary Perspective, Birkhead, T.R., Hosken, D.J. & Pitnick, S. (Eds.), pp. 207245. Oxford: Academic Press.Google Scholar
Sakakibara, H. & Kamiya, R. (1989). Functional recombination of outer dynein arms with outer arm-missing flagellar axonemes of a Chlamydomonas mutant. J Cell Sci 92, 7783.Google Scholar
Smyth, R.D. & Berg, H.C. (1982). Change in flagellar beat frequency of Chlamydomonas in response to light. Prog Clin Biol Res 80, 211215.Google Scholar
Snook, R.R. (2005). Sperm in competition: Not playing by the numbers. Trends Ecol Evol 20(1), 4653.CrossRefGoogle ScholarPubMed
Takada, S. & Kamiya, R. (1997). Beat frequency difference between the two flagella of Chlamydomonas depends on the attachment site of outer dynein arms on the outer-doubler microtubules. Cell Motility and the Cytoskeleton 36(1), 6875.Google Scholar
Wakabayashi, K., Ide, T. & Kamiya, R. (2009). Calcium-dependent flagellar motility activation in Chlamydomonas reinhardtii in response to mechanical agitation. Cell Motil Cytoskeleton 66(9), 736742.Google Scholar
Werner, M., Gack, C., Speck, T. & Peschke, K. (2007). Queue up, please! Spermathecal filling in the rove beetle Drusilla canaliculata (Coleoptera, Staphylinidae). Naturwissenschaften 94(10), 837841.CrossRefGoogle ScholarPubMed
Werner, M. & Simmons, L.W. (2008). Insect sperm motility. Biol Rev 83(2), 191208.Google Scholar
Woolley, D.M. (2003). Motility of spermatozoa at surfaces. Reproduction 126(2), 259270.Google Scholar

Nicovich supplementary material

Video S1

Download Nicovich supplementary material(Video)
Video 400.2 KB

Nicovich supplementary material

Video S2

Download Nicovich supplementary material(Video)
Video 210.8 KB