Virtual soybean—a computational model for studying autoregulation of nodulation

نویسندگان

  • Liqi Han
  • Peter M. Gresshoff
  • Jim Hanan
چکیده

Introduction Nitrogen fixation by legumes is the product of a symbiosis of legume plants and a group of bacteria known as rhizobia (Carroll, et al., 1985; Kinkema, et al., 2006). It has been hypothesised that when rhizobia receive flavonoid signals from the host plants, production of a chemical nodulation factor is induced. The perception of nodulation factor by legume roots then activates a signal cascade leading to division of cortical cells for nodule formation. The activated cells produce a translocatable signal (Q), sent through a root-shoot pathway to the leaves and then detected by a leucine-rich repeat receptor kinase encoded by the NARK gene (Searle, et al., 2003). The detection of this root-shoot signal further induces the production of a shoot-derived signal (SDI) transported to the root, which inhibits development of new nodules. These signals, operating in a growing structure of root and shoot, compose a regulatory network known as autoregulation of nodulation (AON). The overall purpose of this study is to develop a greater understanding of this system through multi-scale modelling of processes including intraand inter-cellular signalling, long-distance signalling and phenotypic development regulated by internal control mechanisms. The first step is to build a structural framework capable of simulating soybean growth driven by empirical results and hypothetical patterns, incorporating control mechanisms modelling Q and SDI.

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تاریخ انتشار 2007