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タイトル: Human sperm swimming in a high viscosity mucus analogue
著者: Ishimoto, Kenta  kyouindb  KAKEN_id
Gadêlha, Hermes
Gaffney, Eamonn A.
Smith, David J.
Kirkman-Brown, Jackson
著者名の別形: 石本, 健太
キーワード: Sperm motility
Principal component analysis
Low-Reynolds-number flow
Boundary element method
発行日: 7-Jun-2018
出版者: Elsevier BV
誌名: Journal of Theoretical Biology
巻: 446
開始ページ: 1
終了ページ: 10
抄録: Remarkably, mammalian sperm maintain a substantive proportion of their progressive swimming speed within highly viscous fluids, including those of the female reproductive tract. Here, we analyse the digital microscopy of a human sperm swimming in a highly viscous, weakly elastic mucus analogue. We exploit principal component analysis to simplify its flagellar beat pattern, from which boundary element calculations are used to determine the time-dependent flow field around the sperm cell. The sperm flow field is further approximated in terms of regularised point forces, and estimates of the mechanical power consumption are determined, for comparison with analogous low viscosity media studies. This highlights extensive differences in the structure of the flows surrounding human sperm in different media, indicating how the cell-cell and cell-boundary hydrodynamic interactions significantly differ with the physical microenvironment. The regularised point force decomposition also provides cell-level information that may ultimately be incorporated into sperm population models. We further observe indications that the core feature in explaining the effectiveness of sperm swimming in high viscosity media is the loss of cell yawing, which is related with a greater density of regularised point force singularities along the axis of symmetry of the flagellar beat to represent the flow field. In turn this implicates a reduction of the wavelength of the distal beat pattern — and hence dynamical wavelength selection of the flagellar beat — as the dominant feature governing the effectiveness of sperm swimming in highly viscous media.
著作権等: © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)
URI: http://hdl.handle.net/2433/233002
DOI(出版社版): 10.1016/j.jtbi.2018.02.013
PubMed ID: 29462624
出現コレクション:学術雑誌掲載論文等

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