micro-mechanical force sensors; finite element method (FEM); spider; focused ion beam scanning electron microscopy; Venus flytrap; cellular force microscopy; mechanoperception; cell biology; convergent evolution; mathematical modeling; microelectronic mechanical systems (MEMS); atomic force microscopy; tactile hairs; mechanical properties
Läubli Nino F., Burri Jan T., Marquard Julian, Vogler Hannes, Mosca Gabriella, Vertti-Quintero Nadia, Shamsudhin Naveen, deMello Andrew, Grossniklaus Ueli, Ahmed Daniel, Nelson Bradley J. (2021), 3D mechanical characterization of single cells and small organisms using acoustic manipulation and force microscopy, in
Nature Communications, 12(1), 2583-2583.
Saikia Eashan, Läubli Nino F., Burri Jan T., Rüggeberg Markus, Schlepütz Christian M., Vogler Hannes, Burgert Ingo, Herrmann Hans J., Nelson Bradley J., Grossniklaus Ueli, Wittel Falk K. (2021), Kinematics Governing Mechanotransduction in the Sensory Hair of the Venus flytrap, in
International Journal of Molecular Sciences, 22(1), 280-280.
Burri Jan T., Saikia Eashan, Läubli Nino F., Vogler Hannes, Wittel Falk K., Rüggeberg Markus, Herrmann Hans J., Burgert Ingo, Nelson Bradley J., Grossniklaus Ueli (2020), A single touch can provide sufficient mechanical stimulation to trigger Venus flytrap closure, in
PLOS Biology, 18(7), e3000740-e3000740.
Burri Jan T., Munglani Gautam, Nelson Bradley J., Grossniklaus Ueli, Vogler Hannes (2020), Pollen and Pollen Tube Biology Methods and Protocols, in Geitmann Anja (ed.), Springer US, New York, NY, 275-292.
Vogler Hannes, Santos-Fernandez Gorka, Mecchia Martin A, Grossniklaus Ueli (2019), To preserve or to destroy, that is the question: the role of the cell wall integrity pathway in pollen tube growth, in
Current Opinion in Plant Biology, 52, 131-139.
Läubli Nino F., Shamsudhin Naveen, Vogler Hannes, Munglani Gautam, Grossniklaus Ueli, Ahmed Daniel, Nelson Bradley J. (2019), 3D Manipulation and Imaging of Plant Cells using Acoustically Activated Microbubbles, in
Small Methods, 3(3), 1800527-1800527.
Workflow flytrap closure
| Author |
Burri, Jan |
| Publication date |
06.06.2019 |
| Persistent Identifier (PID) |
10.5281/zenodo.3799874 |
| Repository |
Zenodo
|
| Abstract |
Workflow used in Burri JT, Saikia E, Läubli NF, Vogler H, Wittel FK, Rüggeberg M, Herrmann HJ, Burgert I, Nelson BJ Grossniklaus U (2020). A single touch can provide sufficient mechanical stimulation to trigger Venus flytrap closure. PLoS Biology 18, e3000740.
| Author |
Burri, Jan |
| Publication date |
06.06.2020 |
| Persistent Identifier (PID) |
https://doi.org/10.1371/journal.pbio.3000740.s007 |
| Repository |
PLoS
|
| Abstract |
Raw data from Burri JT, Saikia E, Läubli NF, Vogler H, Wittel FK, Rüggeberg M, Herrmann HJ, Burgert I, Nelson BJ Grossniklaus U (2020). A single touch can provide sufficient mechanical stimulation to trigger Venus flytrap closure. PLoS Biology 18, e3000740.
| Author |
Saikia, Eashan |
| Publication date |
06.06.2020 |
| Persistent Identifier (PID) |
https://doi.org/10.3929/ethz-b-000460459 |
| Repository |
ETHZ
|
| Abstract |
Micro-CT scans of the Venus flytrap tactile hairs: complete dataset
| Author |
Saikia, Eashan |
| Publication date |
06.06.2020 |
| Persistent Identifier (PID) |
https://doi.org/10.3929/ethz-b-000448954 |
| Repository |
ETHZ
|
| Abstract |
Micro-CT scans of the Venus flytrap tactile hairs. : data published in Saikia E, Läubli NF, Burri JT, Rüggeberg M, Schlepütz CM, Vogler H, Burgert I, Herrmann HJ, Nelson BJ, Grossniklaus U Wittel FK (2021). Kinematics Governing Mechanotransduction in the Sensory Hair of the Venus flytrap. Int. J. Mol. Sci 22, 280.
In both the animal and plant kingdoms, certain species evolved mechanosensory or tactile hairs that play a crucial role for their survival. For instance, the spider Cupiennius salei relies on sensory hairs for interactions with its abiotic environment, sexual partners, and prey (Barth, 2004). Similar-ly, the carnivorous plant Dionaea muscipula (Venus flytrap) detects insects through mechanosen-sory hairs whose stimulation triggers the closure of the trap, a mechanism that has fascinated sci-entists since Darwin (1875). Both types of tactile hairs detect the presence or absence of a stimu-lus, but not its orientation or dynamics. Although tactile hairs in plants and animals evolved inde-pendently of each other, their evolution was subject to the same constraints of the physical world. While the physical properties of tactile spider hairs have been measured and modeled (Dechant et al., 2001), very little is known about the mechanical properties of the Venus flytrap’s trigger hairs. Over the last years, it has become increasingly obvious that not only biochemical properties shape the biological world but that physical constraints play a key role for the function of cells and tissues. This project will shed light onto the fundamental principles underlying mechanosensing by tactile hairs in biological systems as diverse as spiders and plants. We will focus on the mechanosensory hairs of the Venus flytrap and (1) develop new tools to measure the mechanical forces in this sys-tem, (2) investigate whether these mechanosensory hairs detect the presence of an insect using the same physical principles as the tactile hairs of spiders, (3) determine what forces are required to trigger trap closure, (4) model this sophisticated mechanosensing system, and (5) test and fine-tune the model through reiterative cycles of measurements and modeling. The success of this project depends on the development of new methodological and modeling ap-proaches from the engineering and material sciences, which will be applied to a biological problem that has attracted the interest of scientists for over 180 years (Curtis, 1834). This project offers a unique opportunity for two PhD students and a postdoctoral fellow to be trained in an environment that truly reflects the spirit of interdisciplinary research. The team behind this proposal already suc-cessfully collaborates in the framework of SystemsX.ch RTD project MecanX and is comprised of four internationally renowned scientists from the traditionally distant fields of plant developmental biology, mechanical engineering, material science, mathematical modelling, and nanotechnology.