Computational analysis of flowering in pea (Pisum sativum).
Computational analysis of flowering in pea (Pisum sativum).
复制标题
豌豆（Pisum sativum）开花的计算分析。
作者：
B. Wenden;Elizabeth A. Dun;J. Hanan;B. Andrieu;J. Weller;C. Beveridge;C. Rameau
在植物发育过程中，从营养状态到生殖状态的转变是一个关键事件。几十年来，豌豆一直被用作研究这种转变的模式物种。这些研究已经导致了一个概念性的，定性的模式，花的起始控制，被称为“经典”模型。该模型涉及多个输入，即光周期，遗传状态和两个移动的信号，它们相互作用以确定开花的第一个节点。在这里，我们开发了一个计算模型的基础上的假设的经典模型。因此，我们将定性假设转化为定量规则。我们发现，新的假设，除了那些已经描述的经典模型，需要明确描述的信号。特别是，我们假设关键开花基因HR与光周期途径相互作用来控制开花。该计算模型针对广泛的生物数据进行了测试，包括这里提出的预先存在的和新的实验结果，并被发现是准确的。这个计算模型，加上正在进行的实验进展，将有助于未来的建模工作，以增加我们对豌豆开花的理解。
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.