期刊
JOURNAL OF EXPERIMENTAL ZOOLOGY PART B-MOLECULAR AND DEVELOPMENTAL EVOLUTION
卷 336, 期 8, 页码 629-641出版社
WILEY
DOI: 10.1002/jez.b.23005
关键词
exine; exine pattern; mathematical modeling; morphometrics; pattern formation; physical modeling; pollen; self-assembly
资金
- NSF-Simons Center for Mathematical and Statistical Analysis of Biology at Harvard [1764269]
Studying pollen wall development can help identify the connection between genetic products and physical processes, leading to a better understanding of morphological development. The accumulation of morphological data and comprehensive understanding in pollen wall biology provide rich material for mathematical and physical modeling.
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.
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