Divergent organelle allocation in the evolution of sperm gigantism revealed from subcellular quantification of nematode sperm with electron microscopy

This article has been Reviewed by the following groups

Read the full article See related articles

Listed in

Log in to save this article

Abstract

Sperm gigantism evolved multiple times independently among Caenorhabditis nematodes, raising the question of whether intracellular allocation strategies evolved in concert with cell size. Allocation to intracellular components might evolve from direct selection on specific subcellular constituents that affect cell size indirectly, or instead as a byproduct of selection on cell size per se. We used transmission electron microscopy of spermatozoa to quantify investment in pseudopods, mitochondria, and membranous organelles (MOs) from C. macrosperma and C. nouraguensis , related species divergent in sperm size. We demonstrate that C. macrosperma allocates more to mitochondria, in both total and relative terms, consistent with larger sperm cells having greater energetic demands associated with longevity, adhesion, and motility functions. Similar relative pseudopod sizes between species, however, is consistent with an optimal pseudopod:cell body ratio. MO size and distribution patterns within cells implicate C. macrosperma having lower relative investment in MO contributions to seminal fluid, thus excluding increased investment in MOs and pseudopod as drivers of sperm gigantism in C. macrosperma . We conclude that cell size per se likely represents the primary target of selection in the evolution of sperm gigantism, with mitochondrial traits likely evolving as a consequence of increased energetic demands of giant sperm cells.

Article activity feed

  1. Discussion

    Really cool work — I appreciated the clear quantitative approach to comparing subcellular allocation in sperm of different sizes. One thing that stood out was the interpretation that increased mitochondrial number and area in C. macrosperma reflect elevated energetic demands. That makes intuitive sense, but I wonder if there’s an opportunity in future work to more directly test mitochondrial function and energy production.

    For example, live imaging with fluorescent reporters could help quantify ATP levels or assess mitochondrial membrane potential. Coupling that with fluorescent or DIC imaging of active sperm crawling post-mating could reveal whether larger sperm are more motile, or adhere more strongly, in line with the energetic investment hypothesis.

    I realize that TEM gives you high-resolution structure but not dynamics — so integrating these kinds of live-cell tools seems like a natural next step. Thanks for sharing this neat paper! These are cool worms!

    ChatGPT was used to streamline thoughts