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Observing silkworm embryos at the fertilization stage using a tissue clearing reagent.
Hiroki Sakai1, Takeshi Yokoyama2, Shuichiro Tomita1
1Institute of Agrobiological Sciences, National Agriculture and Food Research Organization, 1-2 Owashi, Tsukuba, Ibaraki 305-8634, Japan.
Journal of Insect Physiology
|March 31, 2022
Summary
Researchers visualized silkworm egg fertilization using a modified CUBIC (Clear, Unobstructed Brain/Body Imaging Cocktails and Computational analysis) tissue clearing method. This technique revealed previously unobserved nuclear behaviors during early embryogenesis in Bombyx mori.
Area of Science:
- Developmental Biology
- Cell Biology
- Insect Science
Background:
- Silkworm (Bombyx mori) embryogenesis is a key model for lepidopteran development.
- Advancements in biological science enable novel tissue observation methods.
- Traditional methods limit the observation of fine morphological and histological features in early development.
Purpose of the Study:
- To apply advanced tissue transparency technology to silkworm eggs.
- To investigate early embryogenesis and nuclear behavior during fertilization.
- To adapt and utilize the CUBIC method for Bombyx mori egg observation.
Main Methods:
- Utilized a modified CUBIC (Clear, Unobstructed Brain/Body Imaging Cocktails and Computational analysis) tissue clearing method.
- Employed a water-soluble reagent containing urea and amino alcohol for effective tissue clearing.
- Applied the method to Bombyx mori eggs at the fertilization stage.
Main Results:
- Successfully rendered silkworm eggs transparent using the modified CUBIC method.
- Observed the behavior of the egg nucleus, polar body nuclei, and sperm nuclei during fertilization.
- Captured previously unobserved morphological and histological details of early silkworm development.
Conclusions:
- The modified CUBIC method is effective for visualizing early embryogenesis in silkworm eggs.
- This technique provides new insights into nuclear dynamics during fertilization in Bombyx mori.
- Tissue transparency offers a powerful approach for studying lepidopteran developmental processes.

