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Vertex-element models for anisotropic growth of elongated plant organs

Overview of attention for article published in Frontiers in Plant Science, January 2013
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Title
Vertex-element models for anisotropic growth of elongated plant organs
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00233
Pubmed ID
Authors

John A. Fozard, Mikaël Lucas, John R. King, Oliver E. Jensen

Abstract

New tools are required to address the challenge of relating plant hormone levels, hormone responses, wall biochemistry and wall mechanical properties to organ-scale growth. Current vertex-based models (applied in other contexts) can be unsuitable for simulating the growth of elongated organs such as roots because of the large aspect ratio of the cells, and these models fail to capture the mechanical properties of cell walls in sufficient detail. We describe a vertex-element model which resolves individual cells and includes anisotropic non-linear viscoelastic mechanical properties of cell walls and cell division whilst still being computationally efficient. We show that detailed consideration of the cell walls in the plane of a 2D simulation is necessary when cells have large aspect ratio, such as those in the root elongation zone of Arabidopsis thaliana, in order to avoid anomalous transverse swelling. We explore how differences in the mechanical properties of cells across an organ can result in bending and how cellulose microfibril orientation affects macroscale growth. We also demonstrate that the model can be used to simulate growth on realistic geometries, for example that of the primary root apex, using moderate computational resources. The model shows how macroscopic root shape can be sensitive to fine-scale cellular geometries.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Germany 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 9 18%
Student > Master 5 10%
Professor 2 4%
Student > Bachelor 2 4%
Other 9 18%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 39%
Biochemistry, Genetics and Molecular Biology 7 14%
Mathematics 5 10%
Physics and Astronomy 5 10%
Engineering 2 4%
Other 3 6%
Unknown 8 16%
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 10 July 2013.
All research outputs
#20,195,877
of 22,713,403 outputs
Outputs from Frontiers in Plant Science
#15,851
of 19,950 outputs
Outputs of similar age
#248,772
of 280,747 outputs
Outputs of similar age from Frontiers in Plant Science
#241
of 517 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,950 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.