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The Role of Elastic Stresses on Leaf Venation Morphogenesis

Overview of attention for article published in PLoS Computational Biology, April 2008
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Title
The Role of Elastic Stresses on Leaf Venation Morphogenesis
Published in
PLoS Computational Biology, April 2008
DOI 10.1371/journal.pcbi.1000055
Pubmed ID
Authors

Maria F. Laguna, Steffen Bohn, Eduardo A. Jagla

Abstract

We explore the possible role of elastic mismatch between epidermis and mesophyll as a driving force for the development of leaf venation. The current prevalent 'canalization' hypothesis for the formation of veins claims that the transport of the hormone auxin out of the leaves triggers cell differentiation to form veins. Although there is evidence that auxin plays a fundamental role in vein formation, the simple canalization mechanism may not be enough to explain some features observed in the vascular system of leaves, in particular, the abundance of vein loops. We present a model based on the existence of mechanical instabilities that leads very naturally to hierarchical patterns with a large number of closed loops. When applied to the structure of high-order veins, the numerical results show the same qualitative features as actual venation patterns and, furthermore, have the same statistical properties. We argue that the agreement between actual and simulated patterns provides strong evidence for the role of mechanical effects on venation development.

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The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 2 2%
Argentina 2 2%
United Kingdom 1 <1%
India 1 <1%
Germany 1 <1%
China 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Other 1 <1%
Unknown 112 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 24%
Student > Ph. D. Student 25 20%
Professor 11 9%
Professor > Associate Professor 9 7%
Student > Bachelor 8 6%
Other 25 20%
Unknown 17 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 34%
Engineering 11 9%
Physics and Astronomy 10 8%
Environmental Science 10 8%
Computer Science 9 7%
Other 24 19%
Unknown 18 14%