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A model for maxilloturbinate morphogenesis in seals.

Jonathan E Kings1, Lars P Folkow2, Øyvind Hammer3

  • 1PoreLab, Department of Physics, University of Oslo, Oslo, Norway.

Plos One
|March 3, 2025
PubMed
Summary
This summary is machine-generated.

Researchers modeled the development of complex seal maxilloturbinate bones, crucial for heat and water conservation. The model accurately replicates observed labyrinthine patterns, suggesting a mechanism based on bone branch self-avoidance.

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Area of Science:

  • * Comparative anatomy
  • * Developmental biology
  • * Bioengineering

Background:

  • * Mammalian nasal cavities feature maxilloturbinate bones for thermoregulation and water balance.
  • * Arctic seals exhibit highly elaborate, labyrinthine maxilloturbinates for efficient heat and moisture retention from exhaled air.
  • * The developmental processes underlying these complex turbinate structures remain largely uncharacterized.

Purpose of the Study:

  • * To develop and validate a computational model for seal maxilloturbinate pattern formation.
  • * To investigate the key parameters influencing labyrinthine turbinate development in seals.
  • * To propose a potential biological mechanism for the observed complex bone patterning.

Main Methods:

  • * An algorithmic model was created using three parameters: target turbinate porosity, ossification timescale, and gestation timescale.
  • * The model was applied to prenatal and juvenile seal development.
  • * Quantitative metrics (complexity, hydraulic diameter, fractal dimension, Horton-Strahler statistics) were used to compare model outputs with seal skull tomograms.

Main Results:

  • * The model successfully reproduced key features of labyrinthine maxilloturbinate patterns observed in three seal species.
  • * Quantitative validation against grey and harp seal skull tomograms showed close replication of structural development.
  • * Model outputs closely matched complexity, hydraulic diameter, fractal dimension, and Horton-Strahler statistics.

Conclusions:

  • * The proposed algorithmic model provides a robust framework for understanding seal maxilloturbinate development.
  • * Labyrinthine pattern formation may involve neighboring bone branches sensing and avoiding each other via mechanosensing.
  • * Shear stresses from airflow and amniotic fluid are hypothesized as key mechanosensory inputs during development.