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Quantitative analyses of the plant cytoskeleton reveal underlying organizational principles.


ABSTRACT: The actin and microtubule (MT) cytoskeletons are vital structures for cell growth and development across all species. While individual molecular mechanisms underpinning actin and MT dynamics have been intensively studied, principles that govern the cytoskeleton organization remain largely unexplored. Here, we captured biologically relevant characteristics of the plant cytoskeleton through a network-driven imaging-based approach allowing us to quantitatively assess dynamic features of the cytoskeleton. By introducing suitable null models, we demonstrate that the plant cytoskeletal networks exhibit properties required for efficient transport, namely, short average path lengths and high robustness. We further show that these advantageous features are maintained during temporal cytoskeletal rearrangements. Interestingly, man-made transportation networks exhibit similar properties, suggesting general laws of network organization supporting diverse transport processes. The proposed network-driven analysis can be readily used to identify organizational principles of cytoskeletons in other organisms.

SUBMITTER: Breuer D 

PROVIDER: S-EPMC4208369 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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Quantitative analyses of the plant cytoskeleton reveal underlying organizational principles.

Breuer David D   Ivakov Alexander A   Sampathkumar Arun A   Hollandt Florian F   Persson Staffan S   Nikoloski Zoran Z  

Journal of the Royal Society, Interface 20140801 97


The actin and microtubule (MT) cytoskeletons are vital structures for cell growth and development across all species. While individual molecular mechanisms underpinning actin and MT dynamics have been intensively studied, principles that govern the cytoskeleton organization remain largely unexplored. Here, we captured biologically relevant characteristics of the plant cytoskeleton through a network-driven imaging-based approach allowing us to quantitatively assess dynamic features of the cytoske  ...[more]

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