Self-organization of spermatozoa via unsteady elastohydrodynamic interactions enhances their swimming speed and efficiency

Sperm bundling, swarming, and aggregation are observed in various species, suggesting that grouping enhances motility. In this study, we developed a numerical model of sperm computed by fluid-structure interactions between multiple flagella, showing that hydrodynamic interactions allow the sperm model to form polar orders, in which they swim alongside each other. The time required for order formation depends on the density n and is scaled by lnn/n. A wave propagation model controlled by the time derivative of flagellar curvature was introduced to represent flagellar synchronization via hydrodynamic interactions. The polar state results in hydrodynamic flagellar synchronization due to relatively long contact time, which increases swimming speed and flagellar beat speed by approximately 10% compared with no synchronization. During coordinated locomotion, the mechanical power performed by cells is similar to that in isolated systems, but grouping lowers the viscous resistance per cell and increases swimming speed by a factor of 2 compared to solitary swimming under high-density physiological conditions. Thus swimming efficiency increases with density (under physiological conditions, two- to fivefold times higher than in isolated systems). These numerical results show that, in the ordered state, sperm swim faster while expending less energy, suggesting that ordered swimming aids long-distance swimming from an energy perspective.

Authors

Institutions

Publication Details

Journal
Physical review. E
Published
2025-03-18
DOI
https://doi.org/10.1103/physreve.111.035103
Citations
4
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
5.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-organization of spermatozoa via unsteady elastohydrodynamic interactions enhances their swimming speed and efficiency

Toshihiro Omori, Nanami Taketoshi, Takuji Ishikawa
4 citations
Physical review. E
Micro and Nano Robotics
5.03
article

Self-organization of spermatozoa via unsteady elastohydrodynamic interactions enhances their swimming speed and efficiency

Toshihiro Omori, Nanami Taketoshi, Takuji Ishikawa
article en
4 citations

Abstract

Sperm bundling, swarming, and aggregation are observed in various species, suggesting that grouping enhances motility. In this study, we developed a numerical model of sperm computed by fluid-structure interactions between multiple flagella, showing that hydrodynamic interactions allow the sperm model to form polar orders, in which they swim alongside each other. The time required for order formation depends on the density n and is scaled by lnn/n. A wave propagation model controlled by the time derivative of flagellar curvature was introduced to represent flagellar synchronization via hydrodynamic interactions. The polar state results in hydrodynamic flagellar synchronization due to relatively long contact time, which increases swimming speed and flagellar beat speed by approximately 10% compared with no synchronization. During coordinated locomotion, the mechanical power performed by cells is similar to that in isolated systems, but grouping lowers the viscous resistance per cell and increases swimming speed by a factor of 2 compared to solitary swimming under high-density physiological conditions. Thus swimming efficiency increases with density (under physiological conditions, two- to fivefold times higher than in isolated systems). These numerical results show that, in the ordered state, sperm swim faster while expending less energy, suggesting that ordered swimming aids long-distance swimming from an energy perspective.

Physical review. EVol. 111(3)
Tohoku University (JP)
Japan Science and Technology Corporation, Japan Society for the Promotion of Science
Life below water
Openalex Percentile: Top 5%
Micro and Nano Robotics
5.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Self-organization of spermatozoa via unsteady elastohydrodynamic interactions enhances their swimming speed and efficiency — Toshihiro Omori, Nanami Taketoshi, et al. · Physical review. E (2025) | TGRS Research Map | TGRS