TY - JOUR
T1 - Redefining plant systems biology: from cell to ecosystem
AU - Keurentjes, J.J.B.
AU - Angenent, G.C.
AU - Dicke, M.
AU - Martins Dos Santos, V.A.P.
AU - Molenaar, J.
AU - Van der Putten, W.H.
AU - de Ruiter, P.C.
AU - Struik, P.C.
AU - Thomma, B.P.H.J.
N1 - Reporting year: 2011
Metis note: 5050; WAG; TE
PY - 2011
Y1 - 2011
N2 - Molecular biologists typically restrict systems biology to
cellular levels. By contrast, ecologists define biological
systems as communities of interacting individuals at
different trophic levels that process energy, nutrient
and information flows. Modern plant breeding needs
to increase agricultural productivity while decreasing
the ecological footprint. This requires a holistic systems
biology approach that couples different aggregation
levels while considering the variables that affect these
biological systems from cell to community. The challenge
is to generate accurate experimental data that can
be used together with modelling concepts and techniques
that allow experimentally verifying in silico predictions.
The coupling of aggregation levels in plant
sciences, termed Integral Quantification of Biological
Organization (IQBiO), might enhance our abilities to generate
new desired plant phenotypes
AB - Molecular biologists typically restrict systems biology to
cellular levels. By contrast, ecologists define biological
systems as communities of interacting individuals at
different trophic levels that process energy, nutrient
and information flows. Modern plant breeding needs
to increase agricultural productivity while decreasing
the ecological footprint. This requires a holistic systems
biology approach that couples different aggregation
levels while considering the variables that affect these
biological systems from cell to community. The challenge
is to generate accurate experimental data that can
be used together with modelling concepts and techniques
that allow experimentally verifying in silico predictions.
The coupling of aggregation levels in plant
sciences, termed Integral Quantification of Biological
Organization (IQBiO), might enhance our abilities to generate
new desired plant phenotypes
U2 - 10.1016/j.tplants.2010.12.002
DO - 10.1016/j.tplants.2010.12.002
M3 - Article
SN - 1360-1385
VL - 16
SP - 183
EP - 190
JO - Trends in Plant Science
JF - Trends in Plant Science
IS - 4
ER -