School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
J Exp Zool B Mol Dev Evol. 2021 Dec;336(8):629-641. doi: 10.1002/jez.b.23005. Epub 2020 Sep 29.
We are still far from being able to predict organisms' shapes purely from their genetic codes. While it is imperative to identify which encoded macromolecules contribute to a phenotype, determining how macromolecules self-assemble independently of the genetic code may be equally crucial for understanding shape development. Pollen grains are typically single-celled microgametophytes that have decorated walls of various shapes and patterns. The accumulation of morphological data and a comprehensive understanding of the wall development makes this system ripe for mathematical and physical modeling. Therefore, pollen walls are an excellent system for identifying both the genetic products and the physical processes that result in a huge diversity of extracellular morphologies. In this piece, I highlight the current understanding of pollen wall biology relevant for quantification studies and enumerate the modellable aspects of pollen wall patterning and specific approaches that one may take to elucidate how pollen grains build their beautifully patterned walls.
我们仍然远不能仅仅从遗传密码来预测生物体的形状。虽然确定哪些编码的大分子有助于表现型是当务之急,但确定大分子如何在独立于遗传密码的情况下自我组装,对于理解形状发育可能同样至关重要。花粉粒通常是具有各种形状和图案的装饰细胞壁的单细胞小配子体。形态数据的积累和对细胞壁发育的全面了解,使得这个系统非常适合数学和物理建模。因此,花粉壁是一个极好的系统,可以识别导致细胞外形态巨大多样性的遗传产物和物理过程。在这篇文章中,我强调了与定量研究相关的花粉壁生物学的现有理解,并列举了可用于模式花粉壁形成和特定方法的模式花粉壁形成的方面,以阐明花粉粒如何构建其美丽的图案化细胞壁。