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Stress and Strain Provide Positional and Directional Cues in Development

Overview of attention for article published in PLoS Computational Biology, January 2014
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Title
Stress and Strain Provide Positional and Directional Cues in Development
Published in
PLoS Computational Biology, January 2014
DOI 10.1371/journal.pcbi.1003410
Pubmed ID
Authors

Behruz Bozorg, Pawel Krupinski, Henrik Jönsson

Abstract

The morphogenesis of organs necessarily involves mechanical interactions and changes in mechanical properties of a tissue. A long standing question is how such changes are directed on a cellular scale while being coordinated at a tissular scale. Growing evidence suggests that mechanical cues are participating in the control of growth and morphogenesis during development. We introduce a mechanical model that represents the deposition of cellulose fibers in primary plant walls. In the model both the degree of material anisotropy and the anisotropy direction are regulated by stress anisotropy. We show that the finite element shell model and the simpler triangular biquadratic springs approach provide equally adequate descriptions of cell mechanics in tissue pressure simulations of the epidermis. In a growing organ, where circumferentially organized fibers act as a main controller of longitudinal growth, we show that the fiber direction can be correlated with both the maximal stress direction and the direction orthogonal to the maximal strain direction. However, when dynamic updates of the fiber direction are introduced, the mechanical stress provides a robust directional cue for the circumferential organization of the fibers, whereas the orthogonal to maximal strain model leads to an unstable situation where the fibers reorient longitudinally. Our investigation of the more complex shape and growth patterns in the shoot apical meristem where new organs are initiated shows that a stress based feedback on fiber directions is capable of reproducing the main features of in vivo cellulose fiber directions, deformations and material properties in different regions of the shoot. In particular, we show that this purely mechanical model can create radially distinct regions such that cells expand slowly and isotropically in the central zone while cells at the periphery expand more quickly and in the radial direction, which is a well established growth pattern in the meristem.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Mexico 1 <1%
United Kingdom 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 28%
Student > Ph. D. Student 19 16%
Student > Master 13 11%
Professor 11 9%
Student > Doctoral Student 7 6%
Other 10 9%
Unknown 23 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 44%
Biochemistry, Genetics and Molecular Biology 12 10%
Physics and Astronomy 8 7%
Engineering 5 4%
Computer Science 4 3%
Other 12 10%
Unknown 24 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2015.
All research outputs
#17,433,619
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#7,517
of 9,003 outputs
Outputs of similar age
#203,286
of 319,751 outputs
Outputs of similar age from PLoS Computational Biology
#95
of 117 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.