Robust control of the seasonal expression of the Arabidopsis FLC gene in a fluctuating environment
Robust control of the seasonal expression of the Arabidopsis FLC gene in a fluctuating environment
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DOI：
10.1073/pnas.0914293107
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发表时间：
2010-06-22
影响因子：
11.1
通讯作者：
Kudoh, Hiroshi
中科院分区：
文献类型：
--
作者：
Aikawa, Shinichiro;Kobayashi, Masaki J.;Kudoh, Hiroshi
植物在特定的季节开花，即使在自然，波动的环境。温度依赖性开花时间调控的分子基础已被广泛研究，但对基因表达在自然环境中是如何控制的知之甚少。如果没有对过去温度的记忆，植物就很难在自然的、嘈杂的环境中发现季节，因为几周内发生的温度变化往往与季节趋势不一致。我们的2-y人口普查的温度依赖性开花时间基因，AhgFLC，在一个自然群体的多年生拟南芥halleri的表达揭示，这个开花时间基因的调节系统提取季节性的线索，如果它记住过去6周的温度。时间序列分析表明，多达83%的AhgFLC表达的变化是完全由温度为前6周，但不是由温度在较短或较长的时间内解释。我们的模型在预测的基因表达模式在对比温度制度下的移植实验的准确性表明，这种建模结合开花时间调节的分子基础将有助于预测植物对未来气候变化的反应。
Plants flower in particular seasons even in natural, fluctuating environments. The molecular basis of temperature-dependent flowering-time regulation has been extensively studied, but little is known about how gene expression is controlled in natural environments. Without a memory of past temperatures, it would be difficult for plants to detect seasons in natural, noisy environments because temperature changes occurring within a few weeks are often inconsistent with seasonal trends. Our 2-y census of the expression of a temperature-dependent flowering-time gene, AhgFLC, in a natural population of perennial Arabidopsis halleri revealed that the regulatory system of this flowering-time gene extracts seasonal cues as if it memorizes temperatures over the past 6 wk. Time-series analysis revealed that as much as 83% of the variation in the AhgFLC expression is explained solely by the temperature for the previous 6 wk, but not by the temperatures over shorter or longer periods. The accuracy of our model in predicting the gene expression pattern under contrasting temperature regimes in the transplant experiments indicates that such modeling incorporating the molecular bases of flowering-time regulation will contribute to predicting plant responses to future climate changes.