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关于系统思维、系统生物学与虚拟植物

On systems thinking, systems biology, and the in silico plant.

作者信息

Hammer Graeme L, Sinclair Thomas R, Chapman Scott C, van Oosterom Erik

机构信息

Agricultural Production Systems Research Unit, School of Land and Food Sciences, The University of Queensland, St. Lucia, Queensland, Australia.

出版信息

Plant Physiol. 2004 Mar;134(3):909-11. doi: 10.1104/pp.103.034827.

DOI:10.1104/pp.103.034827
PMID:15020754
Abstract

The recent summary report of a Department of Energy Workshop on Plant Systems Biology (P.V. Minorsky [2003] Plant Physiol 132: 404-409) offered a welcomed advocacy for systems analysis as essential in understanding plant development, growth, and production. The goal of the Workshop was to consider methods for relating the results of molecular research to real-world challenges in plant production for increased food supplies, alternative energy sources, and environmental improvement. The rather surprising feature of this report, however, was that the Workshop largely overlooked the rich history of plant systems analysis extending over nearly 40 years (Sinclair and Seligman, 1996) that has considered exactly those challenges targeted by the Workshop. Past systems research has explored and incorporated biochemical and physiological knowledge into plant simulation models from a number of perspectives. The research has resulted in considerable understanding and insight about how to simulate plant systems and the relative contribution of various factors in influencing plant production. These past activities have contributed directly to research focused on solving the problems of increasing biomass production and crop yields. These modeling approaches are also now providing an avenue to enhance integration of molecular genetic technologies in plant improvement (Hammer et al., 2002).

摘要

美国能源部植物系统生物学研讨会的近期总结报告(P.V. 米诺尔斯基 [2003]《植物生理学》132: 404 - 409)对系统分析表示了欢迎,认为它对于理解植物发育、生长和生产至关重要。该研讨会的目标是探讨如何将分子研究结果与植物生产中的实际挑战联系起来,以增加粮食供应、开发替代能源并改善环境。然而,这份报告相当令人惊讶的一点是,研讨会在很大程度上忽略了植物系统分析近40年的丰富历史(辛克莱和塞利格曼,1996),而这段历史恰恰考虑了研讨会所针对的那些挑战。过去的系统研究从多个角度探索并将生化和生理知识纳入植物模拟模型。这些研究让人们对如何模拟植物系统以及各种因素对植物生产的相对贡献有了相当多的理解和认识。过去的这些活动直接推动了旨在解决提高生物量产量和作物产量问题的研究。这些建模方法如今也为加强分子遗传技术在植物改良中的整合提供了一条途径(哈默等人,2002)。

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