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Computational analysis of flowering in pea (Pisum sativum)


Wenden, B and Dun, EA and Hanan, J and Andrieu, B and Weller, JL and Beveridge, C and Rameau, C, Computational analysis of flowering in pea (Pisum sativum), New Phytologist, 184, (1) pp. 153-167. ISSN 0028-646X (2009) [Refereed Article]

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DOI: doi:10.1111/j.1469-8137.2009.02952.x


• During plant development, the transition from a vegetative to reproductive state is a critical event. For decades, pea (Pisum sativum) has been used as a model species to study this transition. These studies have led to a conceptual, qualitative model for the control of flower initiation, referred to as the ‘classical’ model. This model involves many inputs, namely photoperiod, genetic states and two mobile signals which interact to determine the first node of flowering. • Here, we developed a computational model based on the hypotheses of the classical model. Accordingly, we converted qualitative hypotheses into quantitative rules. • We found that new hypotheses, in addition to those already described for the classical model, were required that explicitly described the signals. In particular, we hypothesized that the key flowering gene HR interacts with the photoperiod pathway to control flowering. The computational model was tested against a wide range of biological data, including pre-existing and new experimental results presented here, and was found to be accurate. • This computational model, together with ongoing experimental advances, will assist future modelling efforts to increase our understanding of flowering in pea.

Item Details

Item Type:Refereed Article
Keywords:flowering • long-distance signals • modelling • photoperiod • Pisum sativum
Research Division:Biological Sciences
Research Group:Plant biology
Research Field:Plant physiology
Objective Division:Plant Production and Plant Primary Products
Objective Group:Grains and seeds
Objective Field:Grain legumes
UTAS Author:Weller, JL (Associate Professor Jim Weller)
ID Code:60720
Year Published:2009
Web of Science® Times Cited:15
Deposited By:Plant Science
Deposited On:2010-02-16
Last Modified:2015-02-04

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