Root Systems Biology: integrative modeling across scales,from gene regulatory networks to the rhizosphere

Hill, Kristine;Porco, Silvana;Lobet, Guillaume;Zappala, Susan;Bennett, Malcom J.;et.al.
(2013) Plant Physiology — Vol. 163, n° 4, p. 1487-1503 (2013)

Files

Rootsystemsbiology2013.pdf
  • Open Access
  • Adobe PDF
  • 810.87 KB

Details

Authors
  • Hill, KristineCentre for Plant Integrative Biology, University of Nottingham
    Author
  • Porco, SilvanaCentre for Plant Integrative Biology, University of Nottingham
    Author
  • Lobet, Guillaumeorcid-logoPhytosystems, Université de Liège
    Author
  • Zappala, SusanCentre for Plant Integrative Biology, University of Nottingham
    Author
  • Draye, XavierUCLouvain
    Author
  • Bennett, Malcom J.Centre for Plant Integrative Biology, University of Nottingham
    Author
Show more
Abstract
Genetic and genomic approaches in model organisms have advanced our understanding of root biology over the last decade. Recently, however, systems biology and modeling have emerged as important approaches, as our understanding of root regulatory pathways has become more complex and interpreting pathway outputs has become less intuitive. To relate root genotype to phenotype, we must move beyond examination of interactions at the genetic network scale and employ multi-scale modeling approaches to predict emergent properties at the tissue, organ, organism and rhizosphere scales. Understanding the underlying biological mechanisms and the complex interplay between systems at these different scales requires an integrative approach. Here, we describe examples of such approaches and discuss the merits of developing models to span multiple scales, from network to population levels, and to address dynamic interactions between plants and their environment.
Affiliations

Citations

Hill, K., Porco, S., Lobet, G., Zappala, S., Mooney, S., Draye, X., & Bennett, M. J. (2013). Root Systems Biology: integrative modeling across scales,from gene regulatory networks to the rhizosphere. Plant Physiology, 163(4), 1487-1503. https://doi.org/10.1104/pp.113.227215 (Original work published 2013)