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Systems modeling at multiple levels of regulation : linking systems and genetic Networks to spatially explicit plant populations
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Kitchen, James and Allaby, Robin G. (2013) Systems modeling at multiple levels of regulation : linking systems and genetic Networks to spatially explicit plant populations. Plants, Volume 2 (Number 1). pp. 16-49. doi:10.3390/plants2010016 ISSN 2223-7747.
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Official URL: http://dx.doi.org/10.3390/plants2010016
Abstract
Selection and adaptation of individuals to their underlying environments are highly dynamical processes, encompassing interactions between the individual and its seasonally changing environment, synergistic or antagonistic interactions between individuals and interactions amongst the regulatory genes within the individual. Plants are useful organisms to study within systems modeling because their sedentary nature simplifies interactions between individuals and the environment, and many important plant processes such as germination or flowering are dependent on annual cycles which can be disrupted by climate behavior. Sedentism makes plants relevant candidates for spatially explicit modeling that is tied in with dynamical environments. We propose that in order to fully understand the complexities behind plant adaptation, a system that couples aspects from systems biology with population and landscape genetics is required. A suitable system could be represented by spatially explicit individual-based models where the virtual individuals are located within time-variable heterogeneous environments and contain mutable regulatory gene networks. These networks could directly interact with the environment, and should provide a useful approach to studying plant adaptation.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QK Botany Q Science > QR Microbiology |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||||||
Library of Congress Subject Headings (LCSH): | Plants -- Adaptation , Population genetics, Gene regulatory networks, Systems biology, Bioinformatics | ||||||||
Journal or Publication Title: | Plants | ||||||||
Publisher: | M D P I AG | ||||||||
ISSN: | 2223-7747 | ||||||||
Official Date: | 25 January 2013 | ||||||||
Dates: |
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Volume: | Volume 2 | ||||||||
Number: | Number 1 | ||||||||
Page Range: | pp. 16-49 | ||||||||
DOI: | 10.3390/plants2010016 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 28 July 2016 | ||||||||
Date of first compliant Open Access: | 28 July 2016 | ||||||||
Funder: | Leverhulme Trust (LT) | ||||||||
Grant number: | F/00 215/BC |
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