Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 405059
Title Redefining plant systems biology: from cell to ecosystem
Author(s) Keurentjes, J.J.B.; Angenent, G.C.; Dicke, M.; Martins Dos Santos, V.A.P.; Molenaar, J.; Putten, W.H. van der; Ruiter, P.C. de; Struik, P.C.; Thomma, B.
Source Trends in Plant Science 16 (2011)4. - ISSN 1360-1385 - p. 183 - 190.
Department(s) Laboratory of Genetics
Laboratory of Plant Physiology
Laboratory of Molecular Biology
PRI BIOS Plant Development Systems
Laboratory of Entomology
Systems and Synthetic Biology
Biometris (WU MAT)
Laboratory of Nematology
Land Dynamics
Crop and Weed Ecology
Laboratory of Phytopathology
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) quantitative trait loci - arabidopsis-thaliana - nicotiana-attenuata - regulatory networks - natural variation - food webs - complexity - responses - model - metabolism
Abstract 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
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