The chloroplast as a regulator of Ca2+ signalling.
The chloroplast as a regulator of Ca2+ signalling.
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叶绿体作为 Ca2 信号传导的调节器。
DOI：
10.1111/j.1469-8137.2008.02550.x
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Webb AAR
中科院分区：
文献类型：
--
作者：
Webb AAR
虽然系统生物学自然地适合于模拟生物中从分子到细胞再到器官尺度的过程，如果蝇和拟南芥，但这种方法如何适用于更高尺度的过程（即从种群到生态系统）或涉及更复杂的生物（如作物）？Yin和Struik（这期《新植物学家》第629-642页）提出，作物系统生物学有一个令人信服的案例，它建立在整个作物生理学建模的丰富历史和作物功能基因组学的最新进展之上。作者认为，作物系统生物学将在理解复杂作物表型和随后的作物改良方面发挥关键作用。Sheehy等人（本期《新植物学家》第579-582页）讨论了如何在不使用基因工程和系统生物学方法的情况下实现这样一个复杂的性状——将C4途径改造成水稻。然而，这一重大挑战迫切需要对控制赋予C4性状的解剖和生化途径的基因进行鉴定。鲍恩等等。（本期《新植物学家》第583-587页）认为，如果没有从系统生物学中获得的网络的详细定量特征，简单地组装一系列基因或遗传回路来产生所需的性状（如C4水稻）是不可能成功的。作者认为，这些信息可以很容易地应用于合成生物学的新领域，并显著提高工程新性状成功的机会。那么，系统生物学真的是一种超越了我们需要考虑组件背景的范式转变吗？或者它在很大程度上是一种技术驱动的加速进步，朝着对复杂生物系统动态行为的综合理解方向发展？马库姆（本期《新植物学家》第587-589页）运用库恩哲学讨论了这些问题和其他相关问题。不管人们是否认为这是一种范式转变或革命，系统生物学将把实验方法从传统的还原论方法转向更全面地处理复杂的生物现象。结合相互作用网络的数学和计算模型的进步（Cohen, 2004; Albert, 2007; Monk, 2008），这将促进对复杂生物系统动态行为的综合理解的进步。
Whilst systems biology naturally lends itself to model molecular to cell to organ scale processes in organisms such as Drosophila and Arabidopsis, how applicable is this approach to higher-scale processes (ie from population to ecosystem) or involving more complex organisms such as crops? Yin & Struik (this issue of New Phytologist, pp. 629-642) propose that there is a compelling case for crop systems biology, which builds on the rich history of modelling whole-crop physiology and recent advances in crop functional genomics. The authors argue that crop systems biology will play a crucial role in the understanding of complex crop phenotypes and subsequently crop improvement. Sheehy et al.(this issue of New Phytologist, pp. 579-582) discusses how one such complex trait-engineering the C4 pathway into rice-cannot be achieved without the use of genetic engineering and systems biology approaches. Nevertheless, this grand challenge'urgently awaits the identification ofthe genes that control the anatomical and biochemical pathways that confer the C4 trait. Bowen etal.(this issue of New Phytologist, pp. 583-587) argue that simply assembling a series of genes or genetic circuits to produce a desired trait (such as C4 rice) is unlikely to be successful without a detailed quantitative characterization ofthe network gained from systems biology. The authors argue that such information can be readily applied employing the new field of synthetic biology and significantly improves the chances of success of engineering new traits.So, is systems biology really a paradigm shift beyond the idea that we need to consider context for components? Or is it largely a technology-driven acceleration of progress towards an integrative understanding of the dynamical behaviour of complex biological systems? Marcum (this issue of New Phytologist, pp. 587-589) discusses these and other related issues, employing Kuhnian philosophy. Irrespective of whether one considers this a paradigm shift or revolution, systems biology is set to move experimental approaches from a traditional reductionist approach to more holistic treatment of complex biology phenomena. Combined with advances in mathematical and computational modelling of interaction networks (Cohen, 2004; Albert, 2007; Monk, 2008), this will facilitate progress towards an integrative understanding ofthe dynamical behaviour of complex biological systems.
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影响因子：
56.9
作者：
Dodd, Antony N.;Gardner, Michael J.;Webb, Alex A. R.
通讯作者：
Webb, Alex A. R.
影响因子：
7.2
作者：
Nomura, Hironari;Komori, Teiko;Shiina, Takashi
通讯作者：
Shiina, Takashi
影响因子：
56.9
作者：
JOHNSON, CH;KNIGHT, MR;TREWAVAS, A
通讯作者：
TREWAVAS, A
影响因子：
7.2
作者：
Allen, GJ;Kwak, JM;Schroeder, JI
通讯作者：
Schroeder, JI