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Integrating cell biology, image analysis, and computational mechanical modeling to analyze the contributions of cellulose and xyloglucan to stomatal function.

Plant signaling & behavior · 1 Jun 2016 · 10.1080/15592324.2016.1183086

Abstract

Cell walls are likely to be essential determinants of the amazing strength and flexibility of the guard cells that surround each stomatal pore in plants, but surprisingly little is known about cell wall composition, organization, and dynamics in guard cells. Recent analyses of cell wall organization and stomatal function in the guard cells of Arabidopsis thaliana mutants with defects in cellulose and xyloglucan have allowed for the development of new hypotheses about the relative contributions of these components to guard cell function. Advanced image analysis methods can allow for the automated detection of key structures, such as microtubules (MTs) and Cellulose Synthesis Complexes (CSCs), in guard cells, to help determine their contributions to stomatal function. A major challenge in the mechanical modeling of dynamic biological structures, such as guard cell walls, is to connect nanoscale features (e.g., wall polymers and their molecular interactions) with cell-scale mechanics; this challenge can be addressed by applying multiscale computational modeling that spans multiple spatial scales and physical attributes for cell walls.

Plant phenotyping relevance

気孔細胞の構造・機能を対象に、画像解析による構造検出とマルチスケール機械モデルを統合する方法論が中心であり、単なる生物学的測定ではない。

abstractAdvanced image analysis methods can allow for the automated detection of key structures, such as microtubules (MTs) and Cellulose Synthesis Complexes (CSCs), in guard cells
abstractthis challenge can be addressed by applying multiscale computational modeling that spans multiple spatial scales and physical attributes for cell walls

Code and data availability

This addendum describes image analysis methods (Imaris-based CSC detection, vesselness-based MT segmentation) and FEM modeling of guard cells, but contains no data availability statement, no deposited datasets or images, and no author code/model release with a public URL. All URLs in the text are citations to prior or母

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