TY - JOUR
T1 - What is quantitative plant biology?
AU - Autran, Daphné
AU - Bassel, George W.
AU - Chae, Eunyoung
AU - Ezer, Daphne
AU - Ferjani, Ali
AU - Fleck, Christian
AU - Hamant, Olivier
AU - Hartmann, Félix P.
AU - Jiao, Yuling
AU - Johnston, Iain G.
AU - Kwiatkowska, Dorota
AU - Lim, Boon L.
AU - Mahönen, Ari Pekka
AU - Morris, Richard J.
AU - Mulder, Bela M.
AU - Nakayama, Naomi
AU - Sozzani, Ross
AU - Strader, Lucia C.
AU - Ten Tusscher, Kirsten
AU - Ueda, Minako
AU - Wolf, Sebastian
PY - 2021/5/20
Y1 - 2021/5/20
N2 - Quantitative plant biology is an interdisciplinary field that builds on a long history of biomathematics and biophysics. Today, thanks to high spatiotemporal resolution tools and computational modelling, it sets a new standard in plant science. Acquired data, whether molecular, geometric or mechanical, are quantified, statistically assessed and integrated at multiple scales and across fields. They feed testable predictions that, in turn, guide further experimental tests. Quantitative features such as variability, noise, robustness, delays or feedback loops are included to account for the inner dynamics of plants and their interactions with the environment. Here, we present the main features of this ongoing revolution, through new questions around signalling networks, tissue topology, shape plasticity, biomechanics, bioenergetics, ecology and engineering. In the end, quantitative plant biology allows us to question and better understand our interactions with plants. In turn, this field opens the door to transdisciplinary projects with the society, notably through citizen science.
AB - Quantitative plant biology is an interdisciplinary field that builds on a long history of biomathematics and biophysics. Today, thanks to high spatiotemporal resolution tools and computational modelling, it sets a new standard in plant science. Acquired data, whether molecular, geometric or mechanical, are quantified, statistically assessed and integrated at multiple scales and across fields. They feed testable predictions that, in turn, guide further experimental tests. Quantitative features such as variability, noise, robustness, delays or feedback loops are included to account for the inner dynamics of plants and their interactions with the environment. Here, we present the main features of this ongoing revolution, through new questions around signalling networks, tissue topology, shape plasticity, biomechanics, bioenergetics, ecology and engineering. In the end, quantitative plant biology allows us to question and better understand our interactions with plants. In turn, this field opens the door to transdisciplinary projects with the society, notably through citizen science.
U2 - 10.1017/qpb.2021.8
DO - 10.1017/qpb.2021.8
M3 - Article
SN - 2632-8828
VL - 2
SP - 1
EP - 16
JO - Quantitative Plant Biology
JF - Quantitative Plant Biology
M1 - e10
ER -