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Related Concept Videos

Sperm Transport01:15

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The journey of sperm from its origin to the point of ejaculation begins within the seminiferous tubules of the testis. Here, Sertoli cells produce fluid that propels non-motile sperm through a series of conduits, starting with the straight tubules leading to the rete testis. This interconnected network of tubules acts as the initial pathway for sperm, guiding them into the efferent ductules and then into the epididymis for maturation.
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Spermatogenesis is the process by which haploid sperm cells are produced in the male testes. It starts with stem cells located close to the outer rim of seminiferous tubules. These spermatogonial stem cells divide asymmetrically to give rise to additional stem cells (meaning that these structures “self-renew”), as well as sperm progenitors, called spermatocytes. Importantly, this method of asymmetric mitotic division maintains a population of spermatogonial stem cells in the male...
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Updated: May 11, 2025

Measuring Sperm Guidance and Motility within the Caenorhabditis elegans Hermaphrodite Reproductive Tract
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Modeling diffusive search by non-adaptive sperm: Empirical and computational insights.

Benjamin M Brisard1, Kylie D Cashwell1, Stephanie M Stewart1

  • 1Department of Biology, East Carolina University, Greenville, North Carolina, United States of America.

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Summary

Sperm selection during fertilization is crucial for reproductive success and assisted reproductive technologies (ART). This study introduces a new framework to quantitatively measure sperm fitness and selection, improving ART outcomes.

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Area of Science:

  • Reproductive Biology
  • Computational Biology
  • Biophysics

Background:

  • Mammalian fertilization involves a significant reduction in sperm numbers, a process not fully explained by classical sperm competition theory.
  • Assisted reproductive technologies (ART) often rely on artificial sperm selection, risking the use of low-fitness sperm.
  • A unifying quantitative framework for sperm selection is lacking.

Purpose of the Study:

  • To develop a quantitative framework for understanding sperm selection during fertilization.
  • To reframe sperm function as a collective diffusive search process.
  • To explore the dynamics constraining sperm fitness using computational models.

Main Methods:

  • Development of multi-scale computational models.
  • Reframing sperm function as a collective diffusive search.
  • Introduction of probabilistic sperm fitness and information-theoretic selection measures.

Main Results:

  • A novel framework for assessing sperm fitness and selection magnitude was developed.
  • Computational models explored causal dynamics under varying microenvironmental pressures.
  • The study provides new metrics for evaluating sperm quality in ART.

Conclusions:

  • The proposed framework offers a quantitative approach to sperm selection dynamics.
  • This research can enhance the efficacy of assisted reproductive technologies.
  • Understanding sperm selection is vital for improving fertilization outcomes.